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Few Severe Toxicities After SBRT in Oligometastatic Cancer
TOPLINE:
according to a large real-world analysis.
METHODOLOGY:
- Advances in cancer imaging have helped identify more patients with oligometastatic disease. Although the standard treatment approach typically involves systemic therapy such as chemotherapy and immunotherapy, SBRT has increasingly become an option for these patients. However, the toxicities associated with SBRT remain less clear.
- OligoCare, a European, prospective, registry-based, single-arm observational study, aims to provide real-world outcomes among patients with oligometastatic cancer who received SBRT. In this analysis, the researchers evaluated early toxicities among 1468 patients with different primary cancers — non–small cell lung cancer (NSCLC; 19.7%), colorectal cancer (20%), breast cancer (15.5%), and prostate cancer (44.8%).
- The primary outcome was acute toxicities, including new malignancies and deaths, within 6 months of initiating SBRT.
- Overall, 527 (35.9%) patients received concomitant systemic treatment and 828 (56%) had de novo oligometastatic disease.
TAKEAWAY:
- Overall, though, only eight patients (0.5%) experienced acute SBRT-related toxicity of grade 3 and above within 6 months; two events, however, were fatal (pneumonitis and cerebral hemorrhage), and both occurred in patients with NSCLC.
- The other six grade 3 events included one instance of each of the following: empyema, pneumonia, radiation pneumonitis, radiation skin injury, decreased appetite, and bone pain. Two of these events occurred in patients with NSCLC, two in patients with breast cancer, one in patients with colorectal cancer, and one in patients with prostate cancer.
- New primary malignancies were reported in 13 (0.9%) patients, which included bladder cancer (n = 3), nonmelanoma skin cancer (n = 3), and leukemia (n = 1).
- Overall, 43 (2.9%) patients died within 6 months, most from their primary cancer (58.1%).
IN PRACTICE:
Low rates of early acute toxicities reported in this real-world study help confirm the safety of SBRT in the treatment of oligometastases, the authors concluded. However, “some anatomical sites might be associated with an increased risk of even severe or fatal toxicities.”
SOURCE:
The study, led by Filippo Alongi, Advanced Radiation Oncology Department, IRCCS Sacro Cuore Don Calabria Hospital, Cancer Care Center, Negrar di Valpolicella, Italy, and University of Brescia, also in Italy, was published online in Radiotherapy & Oncology .
LIMITATIONS:
Some limitations of the study include the nonrandomized design and potential variability in patient selection criteria, treatment doses, and schedules.
DISCLOSURES:
The study did not receive any funding support. Two authors declared receiving speaker or lecture honoraria or consultation fees from various sources.
This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication. A version of this article first appeared on Medscape.com.
TOPLINE:
according to a large real-world analysis.
METHODOLOGY:
- Advances in cancer imaging have helped identify more patients with oligometastatic disease. Although the standard treatment approach typically involves systemic therapy such as chemotherapy and immunotherapy, SBRT has increasingly become an option for these patients. However, the toxicities associated with SBRT remain less clear.
- OligoCare, a European, prospective, registry-based, single-arm observational study, aims to provide real-world outcomes among patients with oligometastatic cancer who received SBRT. In this analysis, the researchers evaluated early toxicities among 1468 patients with different primary cancers — non–small cell lung cancer (NSCLC; 19.7%), colorectal cancer (20%), breast cancer (15.5%), and prostate cancer (44.8%).
- The primary outcome was acute toxicities, including new malignancies and deaths, within 6 months of initiating SBRT.
- Overall, 527 (35.9%) patients received concomitant systemic treatment and 828 (56%) had de novo oligometastatic disease.
TAKEAWAY:
- Overall, though, only eight patients (0.5%) experienced acute SBRT-related toxicity of grade 3 and above within 6 months; two events, however, were fatal (pneumonitis and cerebral hemorrhage), and both occurred in patients with NSCLC.
- The other six grade 3 events included one instance of each of the following: empyema, pneumonia, radiation pneumonitis, radiation skin injury, decreased appetite, and bone pain. Two of these events occurred in patients with NSCLC, two in patients with breast cancer, one in patients with colorectal cancer, and one in patients with prostate cancer.
- New primary malignancies were reported in 13 (0.9%) patients, which included bladder cancer (n = 3), nonmelanoma skin cancer (n = 3), and leukemia (n = 1).
- Overall, 43 (2.9%) patients died within 6 months, most from their primary cancer (58.1%).
IN PRACTICE:
Low rates of early acute toxicities reported in this real-world study help confirm the safety of SBRT in the treatment of oligometastases, the authors concluded. However, “some anatomical sites might be associated with an increased risk of even severe or fatal toxicities.”
SOURCE:
The study, led by Filippo Alongi, Advanced Radiation Oncology Department, IRCCS Sacro Cuore Don Calabria Hospital, Cancer Care Center, Negrar di Valpolicella, Italy, and University of Brescia, also in Italy, was published online in Radiotherapy & Oncology .
LIMITATIONS:
Some limitations of the study include the nonrandomized design and potential variability in patient selection criteria, treatment doses, and schedules.
DISCLOSURES:
The study did not receive any funding support. Two authors declared receiving speaker or lecture honoraria or consultation fees from various sources.
This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication. A version of this article first appeared on Medscape.com.
TOPLINE:
according to a large real-world analysis.
METHODOLOGY:
- Advances in cancer imaging have helped identify more patients with oligometastatic disease. Although the standard treatment approach typically involves systemic therapy such as chemotherapy and immunotherapy, SBRT has increasingly become an option for these patients. However, the toxicities associated with SBRT remain less clear.
- OligoCare, a European, prospective, registry-based, single-arm observational study, aims to provide real-world outcomes among patients with oligometastatic cancer who received SBRT. In this analysis, the researchers evaluated early toxicities among 1468 patients with different primary cancers — non–small cell lung cancer (NSCLC; 19.7%), colorectal cancer (20%), breast cancer (15.5%), and prostate cancer (44.8%).
- The primary outcome was acute toxicities, including new malignancies and deaths, within 6 months of initiating SBRT.
- Overall, 527 (35.9%) patients received concomitant systemic treatment and 828 (56%) had de novo oligometastatic disease.
TAKEAWAY:
- Overall, though, only eight patients (0.5%) experienced acute SBRT-related toxicity of grade 3 and above within 6 months; two events, however, were fatal (pneumonitis and cerebral hemorrhage), and both occurred in patients with NSCLC.
- The other six grade 3 events included one instance of each of the following: empyema, pneumonia, radiation pneumonitis, radiation skin injury, decreased appetite, and bone pain. Two of these events occurred in patients with NSCLC, two in patients with breast cancer, one in patients with colorectal cancer, and one in patients with prostate cancer.
- New primary malignancies were reported in 13 (0.9%) patients, which included bladder cancer (n = 3), nonmelanoma skin cancer (n = 3), and leukemia (n = 1).
- Overall, 43 (2.9%) patients died within 6 months, most from their primary cancer (58.1%).
IN PRACTICE:
Low rates of early acute toxicities reported in this real-world study help confirm the safety of SBRT in the treatment of oligometastases, the authors concluded. However, “some anatomical sites might be associated with an increased risk of even severe or fatal toxicities.”
SOURCE:
The study, led by Filippo Alongi, Advanced Radiation Oncology Department, IRCCS Sacro Cuore Don Calabria Hospital, Cancer Care Center, Negrar di Valpolicella, Italy, and University of Brescia, also in Italy, was published online in Radiotherapy & Oncology .
LIMITATIONS:
Some limitations of the study include the nonrandomized design and potential variability in patient selection criteria, treatment doses, and schedules.
DISCLOSURES:
The study did not receive any funding support. Two authors declared receiving speaker or lecture honoraria or consultation fees from various sources.
This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication. A version of this article first appeared on Medscape.com.
FIT Screening Cuts Colorectal Cancer Mortality by One Third
TOPLINE:
METHODOLOGY:
- In the United States, annual FIT screening is recommended among average-risk adults to reduce the risk for death from CRC, but evidence on its effectiveness is limited.
- Researchers performed a nested case-control study within two large, demographically diverse health systems with long-standing programs of mailing FITs to promote CRC screening efforts.
- They compared 1103 adults who had died of CRC between 2011 and 2017 (cases) with 9608 matched, randomly selected people who were alive and free of CRC (controls).
- Analyses focused on FIT screening completed within 5 years before CRC diagnosis for cases or the corresponding date for controls.
- The primary outcome measured was CRC death overall and by tumor location; secondary analyses assessed CRC death by race and ethnicity.
TAKEAWAY:
- In regression analysis, completing one or more FIT screenings was associated with a 33% lower risk for CRC death overall.
- There was a 42% lower risk for death from left colon and rectum cancers but no significant reduction in mortality from right colon cancers.
- The benefits of FIT screening were observed across racial and ethnic groups, with significant mortality reductions of 63% in non-Hispanic Asian, 42% in non-Hispanic Black, and 29% in non-Hispanic White individuals.
IN PRACTICE:
“The findings support the use of strategies for coordinated and equitable large-scale population-based delivery of FIT screening with follow-up of abnormal screening results to help avert preventable premature CRC deaths,” the authors wrote.
SOURCE:
The study, with first author Chyke A. Doubeni, MD, MPH, Center for Health Equity, The Ohio State University Wexner Medical Center, Columbus, Ohio, was published online in JAMA Network Open.
LIMITATIONS:
Almost one half of study subjects had completed two or more FITs, but the case-control design was not suitable for assessing the impact of repeated screening. The study was conducted prior to the US Preventive Services Task Force recommendation to start screening at age 45 years, so the findings may not directly apply to adults aged 45-49 years.
DISCLOSURES:
The study was funded by the National Cancer Institute. Dr. Doubeni reported receiving royalties from UpToDate, and additional authors reported receiving grants outside the submitted work. No other disclosures were reported.
A version of this article first appeared on Medscape.com.
TOPLINE:
METHODOLOGY:
- In the United States, annual FIT screening is recommended among average-risk adults to reduce the risk for death from CRC, but evidence on its effectiveness is limited.
- Researchers performed a nested case-control study within two large, demographically diverse health systems with long-standing programs of mailing FITs to promote CRC screening efforts.
- They compared 1103 adults who had died of CRC between 2011 and 2017 (cases) with 9608 matched, randomly selected people who were alive and free of CRC (controls).
- Analyses focused on FIT screening completed within 5 years before CRC diagnosis for cases or the corresponding date for controls.
- The primary outcome measured was CRC death overall and by tumor location; secondary analyses assessed CRC death by race and ethnicity.
TAKEAWAY:
- In regression analysis, completing one or more FIT screenings was associated with a 33% lower risk for CRC death overall.
- There was a 42% lower risk for death from left colon and rectum cancers but no significant reduction in mortality from right colon cancers.
- The benefits of FIT screening were observed across racial and ethnic groups, with significant mortality reductions of 63% in non-Hispanic Asian, 42% in non-Hispanic Black, and 29% in non-Hispanic White individuals.
IN PRACTICE:
“The findings support the use of strategies for coordinated and equitable large-scale population-based delivery of FIT screening with follow-up of abnormal screening results to help avert preventable premature CRC deaths,” the authors wrote.
SOURCE:
The study, with first author Chyke A. Doubeni, MD, MPH, Center for Health Equity, The Ohio State University Wexner Medical Center, Columbus, Ohio, was published online in JAMA Network Open.
LIMITATIONS:
Almost one half of study subjects had completed two or more FITs, but the case-control design was not suitable for assessing the impact of repeated screening. The study was conducted prior to the US Preventive Services Task Force recommendation to start screening at age 45 years, so the findings may not directly apply to adults aged 45-49 years.
DISCLOSURES:
The study was funded by the National Cancer Institute. Dr. Doubeni reported receiving royalties from UpToDate, and additional authors reported receiving grants outside the submitted work. No other disclosures were reported.
A version of this article first appeared on Medscape.com.
TOPLINE:
METHODOLOGY:
- In the United States, annual FIT screening is recommended among average-risk adults to reduce the risk for death from CRC, but evidence on its effectiveness is limited.
- Researchers performed a nested case-control study within two large, demographically diverse health systems with long-standing programs of mailing FITs to promote CRC screening efforts.
- They compared 1103 adults who had died of CRC between 2011 and 2017 (cases) with 9608 matched, randomly selected people who were alive and free of CRC (controls).
- Analyses focused on FIT screening completed within 5 years before CRC diagnosis for cases or the corresponding date for controls.
- The primary outcome measured was CRC death overall and by tumor location; secondary analyses assessed CRC death by race and ethnicity.
TAKEAWAY:
- In regression analysis, completing one or more FIT screenings was associated with a 33% lower risk for CRC death overall.
- There was a 42% lower risk for death from left colon and rectum cancers but no significant reduction in mortality from right colon cancers.
- The benefits of FIT screening were observed across racial and ethnic groups, with significant mortality reductions of 63% in non-Hispanic Asian, 42% in non-Hispanic Black, and 29% in non-Hispanic White individuals.
IN PRACTICE:
“The findings support the use of strategies for coordinated and equitable large-scale population-based delivery of FIT screening with follow-up of abnormal screening results to help avert preventable premature CRC deaths,” the authors wrote.
SOURCE:
The study, with first author Chyke A. Doubeni, MD, MPH, Center for Health Equity, The Ohio State University Wexner Medical Center, Columbus, Ohio, was published online in JAMA Network Open.
LIMITATIONS:
Almost one half of study subjects had completed two or more FITs, but the case-control design was not suitable for assessing the impact of repeated screening. The study was conducted prior to the US Preventive Services Task Force recommendation to start screening at age 45 years, so the findings may not directly apply to adults aged 45-49 years.
DISCLOSURES:
The study was funded by the National Cancer Institute. Dr. Doubeni reported receiving royalties from UpToDate, and additional authors reported receiving grants outside the submitted work. No other disclosures were reported.
A version of this article first appeared on Medscape.com.
Colorectal Cancer: New Primary Care Method Predicts Onset Within Next 2 Years
TOPLINE:
Up to 16% of primary care patients are non-compliant with FIT, which is the gold standard for predicting CRC.
METHODOLOGY:
- This study was retrospective cohort of 50,387 UK Biobank participants reporting a CRC symptom in primary care at age ≥ 40 years.
- The novel method, called an integrated risk model, used a combination of a polygenic risk score from genetic testing, symptoms, and patient characteristics to identify patients likely to develop CRC in the next 2 years.
- The primary outcome was the risk model’s performance in classifying a CRC case according to a statistical metric, the receiver operating characteristic area under the curve. Values range from 0 to 1, where 1 indicates perfect discriminative power and 0.5 indicates no discriminative power.
TAKEAWAY:
- The cohort of 50,387 participants was found to have 438 cases of CRC and 49,949 controls without CRC within 2 years of symptom reporting. CRC cases were diagnosed by hospital records, cancer registries, or death records.
- Increased risk of a CRC diagnosis was identified by a combination of six variables: older age at index date of symptom, higher polygenic risk score, which included 201 variants, male sex, previous smoking, rectal bleeding, and change in bowel habit.
- The polygenic risk score alone had good ability to distinguish cases from controls because 1.45% of participants in the highest quintile and 0.42% in the lowest quintile were later diagnosed with CRC.
- The variables were used to calculate an integrated risk model, which estimated the cross-sectional risk (in 80% of the final cohort) of a subsequent CRC diagnosis within 2 years. The highest scoring integrated risk model in this study was found to have a receiver operating characteristic area under the curve value of 0.76 with a 95% CI of 0.71-0.81. (A value of this magnitude indicates moderate discriminative ability to distinguish cases from controls because it falls between 0.7 and 0.8. A higher value [above 0.8] is considered strong and a lower value [< 0.7] is considered weak.)
IN PRACTICE:
The authors concluded, “The [integrated risk model] developed in this study predicts, with good accuracy, which patients presenting with CRC symptoms in a primary care setting are likely to be diagnosed with CRC within the next 2 years.”
The integrated risk model has “potential to be immediately actionable in the clinical setting … [by] inform[ing] patient triage, improving early diagnostic rates and health outcomes and reducing pressure on diagnostic secondary care services.”
SOURCE:
The corresponding author is Harry D. Green of the University of Exeter, England. The study (2024 Aug 1. doi: 10.1038/s41431-024-01654-3) appeared in the European Journal of Human Genetics.
LIMITATIONS:
Limitations included an observational design and the inability of the integrated risk model to outperform FIT, which has a receiver operating characteristic area under the curve of 0.95.
DISCLOSURES:
None of the authors reported competing interests. The funding sources included the National Institute for Health and Care Research and others.
A version of this article first appeared on Medscape.com.
TOPLINE:
Up to 16% of primary care patients are non-compliant with FIT, which is the gold standard for predicting CRC.
METHODOLOGY:
- This study was retrospective cohort of 50,387 UK Biobank participants reporting a CRC symptom in primary care at age ≥ 40 years.
- The novel method, called an integrated risk model, used a combination of a polygenic risk score from genetic testing, symptoms, and patient characteristics to identify patients likely to develop CRC in the next 2 years.
- The primary outcome was the risk model’s performance in classifying a CRC case according to a statistical metric, the receiver operating characteristic area under the curve. Values range from 0 to 1, where 1 indicates perfect discriminative power and 0.5 indicates no discriminative power.
TAKEAWAY:
- The cohort of 50,387 participants was found to have 438 cases of CRC and 49,949 controls without CRC within 2 years of symptom reporting. CRC cases were diagnosed by hospital records, cancer registries, or death records.
- Increased risk of a CRC diagnosis was identified by a combination of six variables: older age at index date of symptom, higher polygenic risk score, which included 201 variants, male sex, previous smoking, rectal bleeding, and change in bowel habit.
- The polygenic risk score alone had good ability to distinguish cases from controls because 1.45% of participants in the highest quintile and 0.42% in the lowest quintile were later diagnosed with CRC.
- The variables were used to calculate an integrated risk model, which estimated the cross-sectional risk (in 80% of the final cohort) of a subsequent CRC diagnosis within 2 years. The highest scoring integrated risk model in this study was found to have a receiver operating characteristic area under the curve value of 0.76 with a 95% CI of 0.71-0.81. (A value of this magnitude indicates moderate discriminative ability to distinguish cases from controls because it falls between 0.7 and 0.8. A higher value [above 0.8] is considered strong and a lower value [< 0.7] is considered weak.)
IN PRACTICE:
The authors concluded, “The [integrated risk model] developed in this study predicts, with good accuracy, which patients presenting with CRC symptoms in a primary care setting are likely to be diagnosed with CRC within the next 2 years.”
The integrated risk model has “potential to be immediately actionable in the clinical setting … [by] inform[ing] patient triage, improving early diagnostic rates and health outcomes and reducing pressure on diagnostic secondary care services.”
SOURCE:
The corresponding author is Harry D. Green of the University of Exeter, England. The study (2024 Aug 1. doi: 10.1038/s41431-024-01654-3) appeared in the European Journal of Human Genetics.
LIMITATIONS:
Limitations included an observational design and the inability of the integrated risk model to outperform FIT, which has a receiver operating characteristic area under the curve of 0.95.
DISCLOSURES:
None of the authors reported competing interests. The funding sources included the National Institute for Health and Care Research and others.
A version of this article first appeared on Medscape.com.
TOPLINE:
Up to 16% of primary care patients are non-compliant with FIT, which is the gold standard for predicting CRC.
METHODOLOGY:
- This study was retrospective cohort of 50,387 UK Biobank participants reporting a CRC symptom in primary care at age ≥ 40 years.
- The novel method, called an integrated risk model, used a combination of a polygenic risk score from genetic testing, symptoms, and patient characteristics to identify patients likely to develop CRC in the next 2 years.
- The primary outcome was the risk model’s performance in classifying a CRC case according to a statistical metric, the receiver operating characteristic area under the curve. Values range from 0 to 1, where 1 indicates perfect discriminative power and 0.5 indicates no discriminative power.
TAKEAWAY:
- The cohort of 50,387 participants was found to have 438 cases of CRC and 49,949 controls without CRC within 2 years of symptom reporting. CRC cases were diagnosed by hospital records, cancer registries, or death records.
- Increased risk of a CRC diagnosis was identified by a combination of six variables: older age at index date of symptom, higher polygenic risk score, which included 201 variants, male sex, previous smoking, rectal bleeding, and change in bowel habit.
- The polygenic risk score alone had good ability to distinguish cases from controls because 1.45% of participants in the highest quintile and 0.42% in the lowest quintile were later diagnosed with CRC.
- The variables were used to calculate an integrated risk model, which estimated the cross-sectional risk (in 80% of the final cohort) of a subsequent CRC diagnosis within 2 years. The highest scoring integrated risk model in this study was found to have a receiver operating characteristic area under the curve value of 0.76 with a 95% CI of 0.71-0.81. (A value of this magnitude indicates moderate discriminative ability to distinguish cases from controls because it falls between 0.7 and 0.8. A higher value [above 0.8] is considered strong and a lower value [< 0.7] is considered weak.)
IN PRACTICE:
The authors concluded, “The [integrated risk model] developed in this study predicts, with good accuracy, which patients presenting with CRC symptoms in a primary care setting are likely to be diagnosed with CRC within the next 2 years.”
The integrated risk model has “potential to be immediately actionable in the clinical setting … [by] inform[ing] patient triage, improving early diagnostic rates and health outcomes and reducing pressure on diagnostic secondary care services.”
SOURCE:
The corresponding author is Harry D. Green of the University of Exeter, England. The study (2024 Aug 1. doi: 10.1038/s41431-024-01654-3) appeared in the European Journal of Human Genetics.
LIMITATIONS:
Limitations included an observational design and the inability of the integrated risk model to outperform FIT, which has a receiver operating characteristic area under the curve of 0.95.
DISCLOSURES:
None of the authors reported competing interests. The funding sources included the National Institute for Health and Care Research and others.
A version of this article first appeared on Medscape.com.
Stool-Based Methylation Test May Improve CRC Screening
based on a prospective, real-world study.
These findings suggest that the mSDC2 assay could improve the efficacy and resource utilization of existing screening programs, reported co–lead authors Shengbing Zhao, MD and Zixuan He, MD, of Naval Medical University, Shanghai, China, and colleagues.
“Conventional risk-stratification strategies, such as fecal immunochemical test (FIT) and life risk factors, are still criticized for being inferior at identifying early-stage CRC and ACN, and their real-world performance is probably further weakened by the low annual participation rate and compliance of subsequent colonoscopy,” the investigators wrote in Gastroenterology. Recent case studies have reported “high diagnostic performance” using stool-based testing for mSDC2, which is “the most accurate single-targeted gene” for colorectal neoplasia, according to the investigators; however, real-world outcomes have yet to be demonstrated, prompting the present study. The prospective, multicenter, community-based trial compared the diagnostic performance of the mSDC2 test against FIT and Asia-Pacific Colorectal Screening (APCS) scores.
The primary outcome was detection of ACN. Secondary outcomes included detection of CRC, early-stage CRC, ACN, colorectal neoplasia (CN), and clinically relevant serrated polyp (CRSP). Screening strategies were also compared in terms of cost-effectiveness and impact on colonoscopy workload.The final dataset included 10,360 participants aged 45-75 years who underwent screening between 2020 and 2022.
After determining APCS scores, stool samples were analyzed for mSDC2 and FIT markers. Based on risk stratification results, participants were invited to undergo colonoscopy. A total of 3,381 participants completed colonoscopy, with 1914 from the increased-risk population and 1467 from the average-risk population. Participants who tested positive for mSDC2 had significantly higher detection rates for all measured outcomes than those who tested negative (all, P < .05). For example, the detection rate for ACN was 26.6% in mSDC2-positive participants, compared with 9.3% in mSDC2-negative participants, with a relative risk of 2.87 (95% CI, 2.39-3.44). For CRC, the detection rate was 4.2% in mSDC2-positive participants vs 0.1% in mSDC2-negative participants, yielding a relative risk of 29.73 (95% CI, 10.29-85.91). Performance held steady across subgroups.The mSDC2 test demonstrated cost-effectiveness by significantly reducing the number of colonoscopies needed to detect one case of ACN or CRC. Specifically, the number of colonoscopies needed to screen for ACN and CRC was reduced by 56.2% and 81.5%, respectively. Parallel combinations of mSDC2 with APCS or FIT enhanced both diagnostic performance and cost-effectiveness.
“This study further illustrates that the mSDC2 test consistently improves predictive abilities for CN, CRSP, ACN, and CRC, which is not influenced by subgroups of lesion location or risk factors, even under the risk stratification by FIT or APCS,” the investigators wrote. “The excellent diagnostic ability of mSDC2 in premalignant lesions, early-stage CRC, and early-onset CRC indicates a promising value in early detection and prevention of CRC ... the mSDC2 test or a parallel combination of multiple screening methods might be promising to improve real-world CRC screening performance and reduce colonoscopy workload in community practice.”The study was supported by the National Key Research and Development Program of China, Deep Blue Project of Naval Medical University, the Creative Biosciences, and others. The investigators reported no conflicts of interest.
based on a prospective, real-world study.
These findings suggest that the mSDC2 assay could improve the efficacy and resource utilization of existing screening programs, reported co–lead authors Shengbing Zhao, MD and Zixuan He, MD, of Naval Medical University, Shanghai, China, and colleagues.
“Conventional risk-stratification strategies, such as fecal immunochemical test (FIT) and life risk factors, are still criticized for being inferior at identifying early-stage CRC and ACN, and their real-world performance is probably further weakened by the low annual participation rate and compliance of subsequent colonoscopy,” the investigators wrote in Gastroenterology. Recent case studies have reported “high diagnostic performance” using stool-based testing for mSDC2, which is “the most accurate single-targeted gene” for colorectal neoplasia, according to the investigators; however, real-world outcomes have yet to be demonstrated, prompting the present study. The prospective, multicenter, community-based trial compared the diagnostic performance of the mSDC2 test against FIT and Asia-Pacific Colorectal Screening (APCS) scores.
The primary outcome was detection of ACN. Secondary outcomes included detection of CRC, early-stage CRC, ACN, colorectal neoplasia (CN), and clinically relevant serrated polyp (CRSP). Screening strategies were also compared in terms of cost-effectiveness and impact on colonoscopy workload.The final dataset included 10,360 participants aged 45-75 years who underwent screening between 2020 and 2022.
After determining APCS scores, stool samples were analyzed for mSDC2 and FIT markers. Based on risk stratification results, participants were invited to undergo colonoscopy. A total of 3,381 participants completed colonoscopy, with 1914 from the increased-risk population and 1467 from the average-risk population. Participants who tested positive for mSDC2 had significantly higher detection rates for all measured outcomes than those who tested negative (all, P < .05). For example, the detection rate for ACN was 26.6% in mSDC2-positive participants, compared with 9.3% in mSDC2-negative participants, with a relative risk of 2.87 (95% CI, 2.39-3.44). For CRC, the detection rate was 4.2% in mSDC2-positive participants vs 0.1% in mSDC2-negative participants, yielding a relative risk of 29.73 (95% CI, 10.29-85.91). Performance held steady across subgroups.The mSDC2 test demonstrated cost-effectiveness by significantly reducing the number of colonoscopies needed to detect one case of ACN or CRC. Specifically, the number of colonoscopies needed to screen for ACN and CRC was reduced by 56.2% and 81.5%, respectively. Parallel combinations of mSDC2 with APCS or FIT enhanced both diagnostic performance and cost-effectiveness.
“This study further illustrates that the mSDC2 test consistently improves predictive abilities for CN, CRSP, ACN, and CRC, which is not influenced by subgroups of lesion location or risk factors, even under the risk stratification by FIT or APCS,” the investigators wrote. “The excellent diagnostic ability of mSDC2 in premalignant lesions, early-stage CRC, and early-onset CRC indicates a promising value in early detection and prevention of CRC ... the mSDC2 test or a parallel combination of multiple screening methods might be promising to improve real-world CRC screening performance and reduce colonoscopy workload in community practice.”The study was supported by the National Key Research and Development Program of China, Deep Blue Project of Naval Medical University, the Creative Biosciences, and others. The investigators reported no conflicts of interest.
based on a prospective, real-world study.
These findings suggest that the mSDC2 assay could improve the efficacy and resource utilization of existing screening programs, reported co–lead authors Shengbing Zhao, MD and Zixuan He, MD, of Naval Medical University, Shanghai, China, and colleagues.
“Conventional risk-stratification strategies, such as fecal immunochemical test (FIT) and life risk factors, are still criticized for being inferior at identifying early-stage CRC and ACN, and their real-world performance is probably further weakened by the low annual participation rate and compliance of subsequent colonoscopy,” the investigators wrote in Gastroenterology. Recent case studies have reported “high diagnostic performance” using stool-based testing for mSDC2, which is “the most accurate single-targeted gene” for colorectal neoplasia, according to the investigators; however, real-world outcomes have yet to be demonstrated, prompting the present study. The prospective, multicenter, community-based trial compared the diagnostic performance of the mSDC2 test against FIT and Asia-Pacific Colorectal Screening (APCS) scores.
The primary outcome was detection of ACN. Secondary outcomes included detection of CRC, early-stage CRC, ACN, colorectal neoplasia (CN), and clinically relevant serrated polyp (CRSP). Screening strategies were also compared in terms of cost-effectiveness and impact on colonoscopy workload.The final dataset included 10,360 participants aged 45-75 years who underwent screening between 2020 and 2022.
After determining APCS scores, stool samples were analyzed for mSDC2 and FIT markers. Based on risk stratification results, participants were invited to undergo colonoscopy. A total of 3,381 participants completed colonoscopy, with 1914 from the increased-risk population and 1467 from the average-risk population. Participants who tested positive for mSDC2 had significantly higher detection rates for all measured outcomes than those who tested negative (all, P < .05). For example, the detection rate for ACN was 26.6% in mSDC2-positive participants, compared with 9.3% in mSDC2-negative participants, with a relative risk of 2.87 (95% CI, 2.39-3.44). For CRC, the detection rate was 4.2% in mSDC2-positive participants vs 0.1% in mSDC2-negative participants, yielding a relative risk of 29.73 (95% CI, 10.29-85.91). Performance held steady across subgroups.The mSDC2 test demonstrated cost-effectiveness by significantly reducing the number of colonoscopies needed to detect one case of ACN or CRC. Specifically, the number of colonoscopies needed to screen for ACN and CRC was reduced by 56.2% and 81.5%, respectively. Parallel combinations of mSDC2 with APCS or FIT enhanced both diagnostic performance and cost-effectiveness.
“This study further illustrates that the mSDC2 test consistently improves predictive abilities for CN, CRSP, ACN, and CRC, which is not influenced by subgroups of lesion location or risk factors, even under the risk stratification by FIT or APCS,” the investigators wrote. “The excellent diagnostic ability of mSDC2 in premalignant lesions, early-stage CRC, and early-onset CRC indicates a promising value in early detection and prevention of CRC ... the mSDC2 test or a parallel combination of multiple screening methods might be promising to improve real-world CRC screening performance and reduce colonoscopy workload in community practice.”The study was supported by the National Key Research and Development Program of China, Deep Blue Project of Naval Medical University, the Creative Biosciences, and others. The investigators reported no conflicts of interest.
FROM GASTROENTEROLOGY
FDA Approves First Blood Test for Colorectal Cancer
In late July, the US Food and Drug Administration (FDA) approved the first use of a liquid biopsy (blood test) for colorectal cancer (CRC) screening. The test, called Shield, launched commercially the first week of August and is the first blood test to be approved by the FDA as a primary screening option for CRC that meets requirements for Medicare reimbursement.
While the convenience of a blood test could potentially encourage more people to get screened, expert consensus is that blood tests can’t prevent CRC and should not be considered a replacement for a colonoscopy. Modeling studies and expert consensus published earlier this year in Gastroenterology and in Clinical Gastroenterology and Hepatology shed light on the perils of liquid biopsy.
“Based on their current characteristics, blood tests should not be recommended to replace established colorectal cancer screening tests, since blood tests are neither as effective nor as cost-effective, and would worsen outcomes,” said David Lieberman, MD, AGAF, chair, AGA CRC Workshop chair and lead author of an expert commentary on liquid biopsy for CRC screening.
Five Key Takeaways
- A blood test for CRC that meets minimal CMS criteria for sensitivity and performed every 3 years would likely result in better outcomes than no screening.
- A blood test for CRC offers a simple process that could encourage more people to participate in screening. Patients who may have declined colonoscopy should understand the need for a colonoscopy if findings are abnormal.
- Because blood tests for CRC are predicted to be less effective and more costly than currently established screening programs, they cannot be recommended to replace established effective screening methods.
- Although blood tests would improve outcomes in currently unscreened people, substituting blood tests for a currently effective test would worsen patient outcomes and increase cost.
- Potential benchmarks that industry might use to assess an effective blood test for CRC going forward would be sensitivity for stage I-III CRC of > 90%, with sensitivity for advanced adenomas of > 40%-50%.
“Unless we have the expectation of high sensitivity and specificity, blood-based colorectal cancer tests could lead to false positive and false negative results, which are both bad for patient outcomes,” said John M. Carethers, MD, AGAF, AGA past president and vice chancellor for health sciences at the University of California San Diego.
In late July, the US Food and Drug Administration (FDA) approved the first use of a liquid biopsy (blood test) for colorectal cancer (CRC) screening. The test, called Shield, launched commercially the first week of August and is the first blood test to be approved by the FDA as a primary screening option for CRC that meets requirements for Medicare reimbursement.
While the convenience of a blood test could potentially encourage more people to get screened, expert consensus is that blood tests can’t prevent CRC and should not be considered a replacement for a colonoscopy. Modeling studies and expert consensus published earlier this year in Gastroenterology and in Clinical Gastroenterology and Hepatology shed light on the perils of liquid biopsy.
“Based on their current characteristics, blood tests should not be recommended to replace established colorectal cancer screening tests, since blood tests are neither as effective nor as cost-effective, and would worsen outcomes,” said David Lieberman, MD, AGAF, chair, AGA CRC Workshop chair and lead author of an expert commentary on liquid biopsy for CRC screening.
Five Key Takeaways
- A blood test for CRC that meets minimal CMS criteria for sensitivity and performed every 3 years would likely result in better outcomes than no screening.
- A blood test for CRC offers a simple process that could encourage more people to participate in screening. Patients who may have declined colonoscopy should understand the need for a colonoscopy if findings are abnormal.
- Because blood tests for CRC are predicted to be less effective and more costly than currently established screening programs, they cannot be recommended to replace established effective screening methods.
- Although blood tests would improve outcomes in currently unscreened people, substituting blood tests for a currently effective test would worsen patient outcomes and increase cost.
- Potential benchmarks that industry might use to assess an effective blood test for CRC going forward would be sensitivity for stage I-III CRC of > 90%, with sensitivity for advanced adenomas of > 40%-50%.
“Unless we have the expectation of high sensitivity and specificity, blood-based colorectal cancer tests could lead to false positive and false negative results, which are both bad for patient outcomes,” said John M. Carethers, MD, AGAF, AGA past president and vice chancellor for health sciences at the University of California San Diego.
In late July, the US Food and Drug Administration (FDA) approved the first use of a liquid biopsy (blood test) for colorectal cancer (CRC) screening. The test, called Shield, launched commercially the first week of August and is the first blood test to be approved by the FDA as a primary screening option for CRC that meets requirements for Medicare reimbursement.
While the convenience of a blood test could potentially encourage more people to get screened, expert consensus is that blood tests can’t prevent CRC and should not be considered a replacement for a colonoscopy. Modeling studies and expert consensus published earlier this year in Gastroenterology and in Clinical Gastroenterology and Hepatology shed light on the perils of liquid biopsy.
“Based on their current characteristics, blood tests should not be recommended to replace established colorectal cancer screening tests, since blood tests are neither as effective nor as cost-effective, and would worsen outcomes,” said David Lieberman, MD, AGAF, chair, AGA CRC Workshop chair and lead author of an expert commentary on liquid biopsy for CRC screening.
Five Key Takeaways
- A blood test for CRC that meets minimal CMS criteria for sensitivity and performed every 3 years would likely result in better outcomes than no screening.
- A blood test for CRC offers a simple process that could encourage more people to participate in screening. Patients who may have declined colonoscopy should understand the need for a colonoscopy if findings are abnormal.
- Because blood tests for CRC are predicted to be less effective and more costly than currently established screening programs, they cannot be recommended to replace established effective screening methods.
- Although blood tests would improve outcomes in currently unscreened people, substituting blood tests for a currently effective test would worsen patient outcomes and increase cost.
- Potential benchmarks that industry might use to assess an effective blood test for CRC going forward would be sensitivity for stage I-III CRC of > 90%, with sensitivity for advanced adenomas of > 40%-50%.
“Unless we have the expectation of high sensitivity and specificity, blood-based colorectal cancer tests could lead to false positive and false negative results, which are both bad for patient outcomes,” said John M. Carethers, MD, AGAF, AGA past president and vice chancellor for health sciences at the University of California San Diego.
Physician-Scientist Taps into Microbiome to Fight Cancer
The lowest point in the nascent career of Neelendu Dey, MD, helped seal his fate as a physician-scientist.
He had just started his first year as a resident at University of California, San Francisco. One of his patients was a 30-year-old woman who was dying of metastatic colorectal cancer. “I was in my mid-20s interacting with an individual just a few years older than I am, going through one of the most terrible health outcomes one could imagine,” Dr. Dey said.
He remembers asking the patient what he could do for her, how he could make her feel more comfortable. “That feeling of helplessness, particularly as we think about young people developing cancer, it really stuck with me through the years,” he said.
In an interview, he talked about his dual role as a physician and scientist, and how those two interests are guiding his research in precancerous conditions of the colon.
Cases like that of the young woman with colon cancer “really help drive the urgency of the work we do, and the research questions we ask, as we try to move the ball forward and help folks at earlier stages,” he said.
Q: Why did you choose GI?
When you think about what sorts of chronic diseases really impact your quality of life, gut health is one of the chief contributors among various aspects of health. And that really appealed to me — the ability to take someone who is essentially handicapped by a series of illnesses and symptoms that derive from the GI tract and enable them to return to the person they want to be, to be productive in the way that they want to be, and have a rewarding life.
As I thought about how I wanted to contribute to the future of medicine, one of the ways in which I’ve always thought that I would do that is through research. When I considered the fields that really appealed to me, both from that clinical standpoint and research standpoint, GI was one that really stood out. There has been a lot of exciting research going on in GI. My lab currently studies the microbiome, and I feel like this is an area in which we can contribute.
Q: What role does digestive health play in overall health?
Obviously, the direct answer is gut health is so critical in something like nutritional intake. Some GI symptoms, if your gut health has gone awry, can really be detrimental in terms of quality of life. But one less obvious role that digestive health plays is its long-term effects. We’re starting to appreciate that gut health, the gut microbiome, and gut immune education are probably long-term players. Some experiences in early life might shape our immunity in ways that have consequences for us much later in life. Whether we get early life antibiotics, for example, may potentially contribute to colorectal cancer down the line. Thinking about the long-term players is more challenging, but it’s also an appealing opportunity as we think about how we can shape medicine moving forward.
Q: What practice challenges have you faced in your career?
First, being a physician-scientist. It’s challenging to be either a physician alone or to be a researcher alone. And trying to do both includes the challenges of both individual worlds. It just takes more time to get all the prerequisite training. And second, there are just challenges with getting the opportunities to contribute in the ways that you want — to get the research funding, to get the papers out, things like that.
Q: Tell me about the work you’ve been doing in your lab to develop microbiome-based strategies for preventing and treating cancer.
The microbiome presents several opportunities when it comes to cancer prevention. One is identifying markers of cancer risk, or of general good health down the line. Some of those biomarkers could — potentially — feed directly into personalized risk assessment and maybe even inform a future screening strategy. The second opportunity the microbiome presents is if we identify a microbe that influences your cancer risk, can we then understand and exploit, or utilize, that mechanism to mitigate cancer risk in the future? Our lab has done work looking at subspecies levels of microbes that track with health or cancer. We’ve done some work to identify what these subspecies groupings are and have identified some links to certain precancerous changes in the colon. We think that there’s an opportunity here for future interventions.
Q: Have you published other papers?
We recently published another paper describing how some microbes can interact with a tumor suppressor gene and are influenced in a sex-biased manner to drive tumorigenesis in a mouse model. We think, based on what we’re seeing in human data, that there may be some relationships and we’re exploring that now as well.
Q: What is your vision for the future in GI, and in your career?
The vision that I have is to create clinical tools that can expand our reach and our effectiveness and cancer prevention. I think that there are opportunities for leveraging microbiome research to accomplish this. And one outcome I could imagine is leveraging some of these insights to expand noninvasive screening at even earlier ages than we do now. I mean, we just dialed back the recommended age for colonoscopy for average risk individuals to 45. But I could envision a future in which noninvasive screening starts earlier, in which the first stool-based tests that we deploy to assess personalized risk are used in the pediatric clinic.
Lightning Round
Texting or talking?
Talking
Favorite city in the United States besides the one you live in?
St. Louis
Cat or dog person?
Both
If you weren’t a GI, what would you be?
Musician
Best place you went on vacation?
Borneo
Favorite sport?
Soccer
Favorite ice cream?
Cashew-based salted caramel
What song do you have to sing along with when you hear it?
Sweet Child of Mine
Favorite movie or TV show?
25th Hour or Shawshank Redemption
Optimist or Pessimist?
Optimist
The lowest point in the nascent career of Neelendu Dey, MD, helped seal his fate as a physician-scientist.
He had just started his first year as a resident at University of California, San Francisco. One of his patients was a 30-year-old woman who was dying of metastatic colorectal cancer. “I was in my mid-20s interacting with an individual just a few years older than I am, going through one of the most terrible health outcomes one could imagine,” Dr. Dey said.
He remembers asking the patient what he could do for her, how he could make her feel more comfortable. “That feeling of helplessness, particularly as we think about young people developing cancer, it really stuck with me through the years,” he said.
In an interview, he talked about his dual role as a physician and scientist, and how those two interests are guiding his research in precancerous conditions of the colon.
Cases like that of the young woman with colon cancer “really help drive the urgency of the work we do, and the research questions we ask, as we try to move the ball forward and help folks at earlier stages,” he said.
Q: Why did you choose GI?
When you think about what sorts of chronic diseases really impact your quality of life, gut health is one of the chief contributors among various aspects of health. And that really appealed to me — the ability to take someone who is essentially handicapped by a series of illnesses and symptoms that derive from the GI tract and enable them to return to the person they want to be, to be productive in the way that they want to be, and have a rewarding life.
As I thought about how I wanted to contribute to the future of medicine, one of the ways in which I’ve always thought that I would do that is through research. When I considered the fields that really appealed to me, both from that clinical standpoint and research standpoint, GI was one that really stood out. There has been a lot of exciting research going on in GI. My lab currently studies the microbiome, and I feel like this is an area in which we can contribute.
Q: What role does digestive health play in overall health?
Obviously, the direct answer is gut health is so critical in something like nutritional intake. Some GI symptoms, if your gut health has gone awry, can really be detrimental in terms of quality of life. But one less obvious role that digestive health plays is its long-term effects. We’re starting to appreciate that gut health, the gut microbiome, and gut immune education are probably long-term players. Some experiences in early life might shape our immunity in ways that have consequences for us much later in life. Whether we get early life antibiotics, for example, may potentially contribute to colorectal cancer down the line. Thinking about the long-term players is more challenging, but it’s also an appealing opportunity as we think about how we can shape medicine moving forward.
Q: What practice challenges have you faced in your career?
First, being a physician-scientist. It’s challenging to be either a physician alone or to be a researcher alone. And trying to do both includes the challenges of both individual worlds. It just takes more time to get all the prerequisite training. And second, there are just challenges with getting the opportunities to contribute in the ways that you want — to get the research funding, to get the papers out, things like that.
Q: Tell me about the work you’ve been doing in your lab to develop microbiome-based strategies for preventing and treating cancer.
The microbiome presents several opportunities when it comes to cancer prevention. One is identifying markers of cancer risk, or of general good health down the line. Some of those biomarkers could — potentially — feed directly into personalized risk assessment and maybe even inform a future screening strategy. The second opportunity the microbiome presents is if we identify a microbe that influences your cancer risk, can we then understand and exploit, or utilize, that mechanism to mitigate cancer risk in the future? Our lab has done work looking at subspecies levels of microbes that track with health or cancer. We’ve done some work to identify what these subspecies groupings are and have identified some links to certain precancerous changes in the colon. We think that there’s an opportunity here for future interventions.
Q: Have you published other papers?
We recently published another paper describing how some microbes can interact with a tumor suppressor gene and are influenced in a sex-biased manner to drive tumorigenesis in a mouse model. We think, based on what we’re seeing in human data, that there may be some relationships and we’re exploring that now as well.
Q: What is your vision for the future in GI, and in your career?
The vision that I have is to create clinical tools that can expand our reach and our effectiveness and cancer prevention. I think that there are opportunities for leveraging microbiome research to accomplish this. And one outcome I could imagine is leveraging some of these insights to expand noninvasive screening at even earlier ages than we do now. I mean, we just dialed back the recommended age for colonoscopy for average risk individuals to 45. But I could envision a future in which noninvasive screening starts earlier, in which the first stool-based tests that we deploy to assess personalized risk are used in the pediatric clinic.
Lightning Round
Texting or talking?
Talking
Favorite city in the United States besides the one you live in?
St. Louis
Cat or dog person?
Both
If you weren’t a GI, what would you be?
Musician
Best place you went on vacation?
Borneo
Favorite sport?
Soccer
Favorite ice cream?
Cashew-based salted caramel
What song do you have to sing along with when you hear it?
Sweet Child of Mine
Favorite movie or TV show?
25th Hour or Shawshank Redemption
Optimist or Pessimist?
Optimist
The lowest point in the nascent career of Neelendu Dey, MD, helped seal his fate as a physician-scientist.
He had just started his first year as a resident at University of California, San Francisco. One of his patients was a 30-year-old woman who was dying of metastatic colorectal cancer. “I was in my mid-20s interacting with an individual just a few years older than I am, going through one of the most terrible health outcomes one could imagine,” Dr. Dey said.
He remembers asking the patient what he could do for her, how he could make her feel more comfortable. “That feeling of helplessness, particularly as we think about young people developing cancer, it really stuck with me through the years,” he said.
In an interview, he talked about his dual role as a physician and scientist, and how those two interests are guiding his research in precancerous conditions of the colon.
Cases like that of the young woman with colon cancer “really help drive the urgency of the work we do, and the research questions we ask, as we try to move the ball forward and help folks at earlier stages,” he said.
Q: Why did you choose GI?
When you think about what sorts of chronic diseases really impact your quality of life, gut health is one of the chief contributors among various aspects of health. And that really appealed to me — the ability to take someone who is essentially handicapped by a series of illnesses and symptoms that derive from the GI tract and enable them to return to the person they want to be, to be productive in the way that they want to be, and have a rewarding life.
As I thought about how I wanted to contribute to the future of medicine, one of the ways in which I’ve always thought that I would do that is through research. When I considered the fields that really appealed to me, both from that clinical standpoint and research standpoint, GI was one that really stood out. There has been a lot of exciting research going on in GI. My lab currently studies the microbiome, and I feel like this is an area in which we can contribute.
Q: What role does digestive health play in overall health?
Obviously, the direct answer is gut health is so critical in something like nutritional intake. Some GI symptoms, if your gut health has gone awry, can really be detrimental in terms of quality of life. But one less obvious role that digestive health plays is its long-term effects. We’re starting to appreciate that gut health, the gut microbiome, and gut immune education are probably long-term players. Some experiences in early life might shape our immunity in ways that have consequences for us much later in life. Whether we get early life antibiotics, for example, may potentially contribute to colorectal cancer down the line. Thinking about the long-term players is more challenging, but it’s also an appealing opportunity as we think about how we can shape medicine moving forward.
Q: What practice challenges have you faced in your career?
First, being a physician-scientist. It’s challenging to be either a physician alone or to be a researcher alone. And trying to do both includes the challenges of both individual worlds. It just takes more time to get all the prerequisite training. And second, there are just challenges with getting the opportunities to contribute in the ways that you want — to get the research funding, to get the papers out, things like that.
Q: Tell me about the work you’ve been doing in your lab to develop microbiome-based strategies for preventing and treating cancer.
The microbiome presents several opportunities when it comes to cancer prevention. One is identifying markers of cancer risk, or of general good health down the line. Some of those biomarkers could — potentially — feed directly into personalized risk assessment and maybe even inform a future screening strategy. The second opportunity the microbiome presents is if we identify a microbe that influences your cancer risk, can we then understand and exploit, or utilize, that mechanism to mitigate cancer risk in the future? Our lab has done work looking at subspecies levels of microbes that track with health or cancer. We’ve done some work to identify what these subspecies groupings are and have identified some links to certain precancerous changes in the colon. We think that there’s an opportunity here for future interventions.
Q: Have you published other papers?
We recently published another paper describing how some microbes can interact with a tumor suppressor gene and are influenced in a sex-biased manner to drive tumorigenesis in a mouse model. We think, based on what we’re seeing in human data, that there may be some relationships and we’re exploring that now as well.
Q: What is your vision for the future in GI, and in your career?
The vision that I have is to create clinical tools that can expand our reach and our effectiveness and cancer prevention. I think that there are opportunities for leveraging microbiome research to accomplish this. And one outcome I could imagine is leveraging some of these insights to expand noninvasive screening at even earlier ages than we do now. I mean, we just dialed back the recommended age for colonoscopy for average risk individuals to 45. But I could envision a future in which noninvasive screening starts earlier, in which the first stool-based tests that we deploy to assess personalized risk are used in the pediatric clinic.
Lightning Round
Texting or talking?
Talking
Favorite city in the United States besides the one you live in?
St. Louis
Cat or dog person?
Both
If you weren’t a GI, what would you be?
Musician
Best place you went on vacation?
Borneo
Favorite sport?
Soccer
Favorite ice cream?
Cashew-based salted caramel
What song do you have to sing along with when you hear it?
Sweet Child of Mine
Favorite movie or TV show?
25th Hour or Shawshank Redemption
Optimist or Pessimist?
Optimist
Breakthrough Blood Test for Colorectal Cancer Gets Green Light
The FDA on July 29 approved the test, called Shield, which can accurately detect tumors in the colon or rectum about 87% of the time when the cancer is in treatable early stages. The approval was announced July 29 by the test’s maker, Guardant Health, and comes just months after promising clinical trial results were published in The New England Journal of Medicine.
Colorectal cancer is among the most common types of cancer diagnosed in the United States each year, along with being one of the leading causes of cancer deaths. The condition is treatable in early stages, but about 1 in 3 people don’t stay up to date on regular screenings, which should begin at age 45.
The simplicity of a blood test could make it more likely for people to be screened for and, ultimately, survive the disease. Other primary screening options include feces-based tests or colonoscopy. The 5-year survival rate for colorectal cancer is 64%.
While highly accurate at detecting DNA shed by tumors during treatable stages of colorectal cancer, the Shield test was not as effective at detecting precancerous areas of tissue, which are typically removed after being detected.
In its news release, Guardant Health officials said they anticipate the test to be covered under Medicare. The out-of-pocket cost for people whose insurance does not cover the test has not yet been announced. The test is expected to be available by next week, The New York Times reported.
If someone’s Shield test comes back positive, the person would then get more tests to confirm the result. Shield was shown in trials to have a 10% false positive rate.
“I was in for a routine physical, and my doctor asked when I had my last colonoscopy,” said John Gormly, a 77-year-old business executive in Newport Beach, California, according to a Guardant Health news release. “I said it’s been a long time, so he offered to give me the Shield blood test. A few days later, the result came back positive, so he referred me for a colonoscopy. It turned out I had stage II colon cancer. The tumor was removed, and I recovered very quickly. Thank God I had taken that blood test.”
A version of this article appeared on WebMD.com.
The FDA on July 29 approved the test, called Shield, which can accurately detect tumors in the colon or rectum about 87% of the time when the cancer is in treatable early stages. The approval was announced July 29 by the test’s maker, Guardant Health, and comes just months after promising clinical trial results were published in The New England Journal of Medicine.
Colorectal cancer is among the most common types of cancer diagnosed in the United States each year, along with being one of the leading causes of cancer deaths. The condition is treatable in early stages, but about 1 in 3 people don’t stay up to date on regular screenings, which should begin at age 45.
The simplicity of a blood test could make it more likely for people to be screened for and, ultimately, survive the disease. Other primary screening options include feces-based tests or colonoscopy. The 5-year survival rate for colorectal cancer is 64%.
While highly accurate at detecting DNA shed by tumors during treatable stages of colorectal cancer, the Shield test was not as effective at detecting precancerous areas of tissue, which are typically removed after being detected.
In its news release, Guardant Health officials said they anticipate the test to be covered under Medicare. The out-of-pocket cost for people whose insurance does not cover the test has not yet been announced. The test is expected to be available by next week, The New York Times reported.
If someone’s Shield test comes back positive, the person would then get more tests to confirm the result. Shield was shown in trials to have a 10% false positive rate.
“I was in for a routine physical, and my doctor asked when I had my last colonoscopy,” said John Gormly, a 77-year-old business executive in Newport Beach, California, according to a Guardant Health news release. “I said it’s been a long time, so he offered to give me the Shield blood test. A few days later, the result came back positive, so he referred me for a colonoscopy. It turned out I had stage II colon cancer. The tumor was removed, and I recovered very quickly. Thank God I had taken that blood test.”
A version of this article appeared on WebMD.com.
The FDA on July 29 approved the test, called Shield, which can accurately detect tumors in the colon or rectum about 87% of the time when the cancer is in treatable early stages. The approval was announced July 29 by the test’s maker, Guardant Health, and comes just months after promising clinical trial results were published in The New England Journal of Medicine.
Colorectal cancer is among the most common types of cancer diagnosed in the United States each year, along with being one of the leading causes of cancer deaths. The condition is treatable in early stages, but about 1 in 3 people don’t stay up to date on regular screenings, which should begin at age 45.
The simplicity of a blood test could make it more likely for people to be screened for and, ultimately, survive the disease. Other primary screening options include feces-based tests or colonoscopy. The 5-year survival rate for colorectal cancer is 64%.
While highly accurate at detecting DNA shed by tumors during treatable stages of colorectal cancer, the Shield test was not as effective at detecting precancerous areas of tissue, which are typically removed after being detected.
In its news release, Guardant Health officials said they anticipate the test to be covered under Medicare. The out-of-pocket cost for people whose insurance does not cover the test has not yet been announced. The test is expected to be available by next week, The New York Times reported.
If someone’s Shield test comes back positive, the person would then get more tests to confirm the result. Shield was shown in trials to have a 10% false positive rate.
“I was in for a routine physical, and my doctor asked when I had my last colonoscopy,” said John Gormly, a 77-year-old business executive in Newport Beach, California, according to a Guardant Health news release. “I said it’s been a long time, so he offered to give me the Shield blood test. A few days later, the result came back positive, so he referred me for a colonoscopy. It turned out I had stage II colon cancer. The tumor was removed, and I recovered very quickly. Thank God I had taken that blood test.”
A version of this article appeared on WebMD.com.
Paclitaxel Drug-Drug Interactions in the Military Health System
Background
Paclitaxel was first derived from the bark of the yew tree (Taxus brevifolia). It was discovered as part of a National Cancer Institute program screen of plants and natural products with putative anticancer activity during the 1960s.1-9 Paclitaxel works by suppressing spindle microtube dynamics, which results in the blockage of the metaphase-anaphase transitions, inhibition of mitosis, and induction of apoptosis in a broad spectrum of cancer cells. Paclitaxel also displayed additional anticancer activities, including the suppression of cell proliferation and antiangiogenic effects. However, since the growth of normal body cells may also be affected, other adverse effects (AEs) will also occur.8-18
Two different chemotherapy drugs contain paclitaxel—paclitaxel and nab-paclitaxel—and the US Food and Drug Administration (FDA) recognizes them as separate entities.19-21 Taxol (paclitaxel) was approved by the FDA in 1992 for treating advanced ovarian cancer.20 It has since been approved for the treatment of metastatic breast cancer, AIDS-related Kaposi sarcoma (as an orphan drug), non-small cell lung cancer (NSCLC), and cervical cancers (in combination withbevacizumab) in 1994, 1997, 1999, and 2014, respectively.21 Since 2002, a generic version of Taxol, known as paclitaxel injectable, has been FDA-approved from different manufacturers. According to the National Cancer Institute, a combination of carboplatin and Taxol is approved to treat carcinoma of unknown primary, cervical, endometrial, NSCLC, ovarian, and thymoma cancers.19 Abraxane (nab-paclitaxel) was FDA-approved to treat metastatic breast cancer in 2005. It was later approved for first-line treatment of advanced NSCLC and late-stage pancreatic cancer in 2012 and 2013, respectively. In 2018 and 2020, both Taxol and Abraxane were approved for first-line treatment of metastatic squamous cell NSCLC in combination with carboplatin and pembrolizumab and metastatic triple-negative breast cancer in combination with pembrolizumab, respectively.22-26 In 2019, Abraxane was approved with atezolizumab to treat metastatic triple-negative breast cancer, but this approval was withdrawn in 2021. In 2022, a generic version of Abraxane, known as paclitaxel protein-bound, was released in the United States. Furthermore, paclitaxel-containing formulations also are being studied in the treatment of other types of cancer.19-32
One of the main limitations of paclitaxel is its low solubility in water, which complicates its drug supply. To distribute this hydrophobic anticancer drug efficiently, paclitaxel is formulated and administered to patients via polyethoxylated castor oil or albumin-bound (nab-paclitaxel). However, polyethoxylated castor oil induces complement activation and is the cause of common hypersensitivity reactions related to paclitaxel use.2,17,33-38 Therefore, many alternatives to polyethoxylated castor oil have been researched.
Since 2000, new paclitaxel formulations have emerged using nanomedicine techniques. The difference between these formulations is the drug vehicle. Different paclitaxel-based nanotechnological vehicles have been developed and approved, such as albumin-based nanoparticles, polymeric lipidic nanoparticles, polymeric micelles, and liposomes, with many others in clinical trial phases.3,37 Albumin-based nanoparticles have a high response rate (33%), whereas the response rate for polyethoxylated castor oil is 25% in patients with metastatic breast cancer.33,39-52 The use of paclitaxel dimer nanoparticles also has been proposed as a method for increasing drug solubility.33,53
Paclitaxel is metabolized by cytochrome P450 (CYP) isoenzymes 2C8 and 3A4. When administering paclitaxel with known inhibitors, inducers, or substrates of CYP2C8 or CYP3A4, caution is required.19-22 Regulations for CYP research were not issued until 2008, so potential interactions between paclitaxel and other drugs have not been extensively evaluated in clinical trials. A study of 12 kinase inhibitors showed strong inhibition of CYP2C8 and/or CYP3A4 pathways by these inhibitors, which could alter the ratio of paclitaxel metabolites in vivo, leading to clinically relevant changes.54 Differential metabolism has been linked to paclitaxel-induced neurotoxicity in patients with cancer.55 Nonetheless, variants in the CYP2C8, CYP3A4, CYP3A5, and ABCB1 genes do not account for significant interindividual variability in paclitaxel pharmacokinetics.56 In liver microsomes, losartan inhibited paclitaxel metabolism when used at concentrations > 50 µmol/L.57 Many drug-drug interaction (DDI) studies of CYP2C8 and CYP3A4 have shown similar results for paclitaxel.58-64
The goals of this study are to investigate prescribed drugs used with paclitaxel and determine patient outcomes through several Military Health System (MHS) databases. The investigation focused on (1) the functions of paclitaxel; (2) identifying AEs that patients experienced; (3) evaluating differences when paclitaxel is used alone vs concomitantly and between the completed vs discontinued treatment groups; (4) identifying all drugs used during paclitaxel treatment; and (5) evaluating DDIs with antidepressants (that have an FDA boxed warning and are known to have DDIs confirmed in previous publications) and other drugs.65-67
The Walter Reed National Military Medical Center in Bethesda, Maryland, institutionalreview board approved the study protocol and ensured compliance with the Health Insurance Portability and Accountability Act as an exempt protocol. The Joint Pathology Center (JPC) of the US Department of Defense (DoD) Cancer Registry Program and MHS data experts from the Comprehensive Ambulatory/Professional Encounter Record (CAPER) and the Pharmacy Data Transaction Service (PDTS) provided data for the analysis.
METHODS
The DoD Cancer Registry Program was established in 1986 and currently contains data from 1998 to 2024. CAPER and PDTS are part of the MHS Data Repository/Management Analysis and Reporting Tool database. Each observation in the CAPER record represents an ambulatory encounter at a military treatment facility (MTF). CAPER includes data from 2003 to 2024.
Each observation in the PDTS record represents a prescription filled for an MHS beneficiary at an MTF through the TRICARE mail-order program or a US retail pharmacy. Missing from this record are prescriptions filled at international civilian pharmacies and inpatient pharmacy prescriptions. The MHS Data Repository PDTS record is available from 2002 to 2024. The legacy Composite Health Care System is being replaced by GENESIS at MTFs.
Data Extraction Design
The study design involved a cross-sectional analysis. We requested data extraction for paclitaxel from 1998 to 2022. Data from the DoD Cancer Registry Program were used to identify patients who received cancer treatment. Once patients were identified, the CAPER database was searched for diagnoses to identify other health conditions, whereas the PDTS database was used to populate a list of prescription medications filled during chemotherapy treatment.
Data collected from the JPC included cancer treatment, cancer information, demographics, and physicians’ comments on AEs. Collected data from the MHS include diagnosis and filled prescription history from initiation to completion of the therapy period (or 2 years after the diagnosis date). For the analysis of the DoD Cancer Registry Program and CAPER databases, we used all collected data without excluding any. When analyzing PDTS data, we excluded patients with PDTS data but without a record of paclitaxel being filled, or medications filled outside the chemotherapy period (by evaluating the dispensed date and day of supply).
Data Extraction Analysis
The Surveillance, Epidemiology, and End Results Program Coding and Staging Manual 2016 and the International Classification of Diseases for Oncology, 3rd edition, 1st revision, were used to decode disease and cancer types.68,69 Data sorting and analysis were performed using Microsoft Excel. The percentage for the total was calculated by using the number of patients or data available within the paclitaxel groups divided by the total number of patients or data variables. The subgroup percentage was calculated by using the number of patients or data available within the subgroup divided by the total number of patients in that subgroup.
In alone vs concomitant and completed vs discontinued treatment groups, a 2-tailed, 2-sample z test was used to statistical significance (P < .05) using a statistics website.70 Concomitant was defined as paclitaxel taken with other antineoplastic agent(s) before, after, or at the same time as cancer therapy. For the retrospective data analysis, physicians’ notes with a period, comma, forward slash, semicolon, or space between medication names were interpreted as concurrent, whereas plus (+), minus/plus (-/+), or “and” between drug names that were dispensed on the same day were interpreted as combined with known common combinations: 2 drugs (DM886 paclitaxel and carboplatin and DM881-TC-1 paclitaxel and cisplatin) or 3 drugs (DM887-ACT doxorubicin, cyclophosphamide, and paclitaxel). Completed treatment was defined as paclitaxel as the last medication the patient took without recorded AEs; switching or experiencing AEs was defined as discontinued treatment.
RESULTS
The JPC provided 702 entries for 687 patients with a mean age of 56 years (range, 2 months to 88 years) who were treated with paclitaxel from March 1996 to October 2021. Fifteen patients had duplicate entries because they had multiple cancer sites or occurrences. There were 623 patients (89%) who received paclitaxel for FDA-approved indications. The most common types of cancer identified were 344 patients with breast cancer (49%), 91 patients with lung cancer (13%), 79 patients with ovarian cancer (11%), and 75 patients with endometrial cancer (11%) (Table 1). Seventy-nine patients (11%) received paclitaxel for cancers that were not for FDA-approved indications, including 19 for cancers of the fallopian tube (3%) and 17 for esophageal cancer (2%) (Table 2).
There were 477 patients (68%) aged > 50 years. A total of 304 patients (43%) had a stage III or IV cancer diagnosis and 398 (57%) had stage II or lower (combination of data for stages 0, I, and II; not applicable; and unknown) cancer diagnosis. For systemic treatment, 16 patients (2%) were treated with paclitaxel alone and 686 patients (98%) received paclitaxel concomitantly with additional chemotherapy: 59 patients (9%) in the before or after group, 410 patients (58%) had a 2-drug combination, 212 patients (30%) had a 3-drug combination, and 5 patients (1%) had a 4-drug combination. In addition, for doublet therapies, paclitaxel combined with carboplatin, trastuzumab, gemcitabine, or cisplatin had more patients (318, 58, 12, and 11, respectively) than other combinations (≤ 4 patients). For triplet therapies, paclitaxel combined withdoxorubicin plus cyclophosphamide or carboplatin plus bevacizumab had more patients (174 and 20, respectively) than other combinations, including quadruplet therapies (≤ 4 patients) (Table 3).
Patients were more likely to discontinue paclitaxel if they received concomitant treatment. None of the 16 patients receiving paclitaxel monotherapy experienced AEs, whereas 364 of 686 patients (53%) treated concomitantly discontinued (P < .001). Comparisons of 1 drug vs combination (2 to 4 drugs) and use for treating cancers that were FDA-approved indications vs off-label use were significant (P < .001), whereas comparisons of stage II or lower vs stage III and IV cancer and of those aged ≤ 50 years vs aged > 50 years were not significant (P = .50 andP = .30, respectively) (Table 4).
Among the 364 patients who had concomitant treatment and had discontinued their treatment, 332 (91%) switched treatments with no AEs documented and 32 (9%) experienced fatigue with pneumonia, mucositis, neuropathy, neurotoxicity, neutropenia, pneumonitis, allergic or hypersensitivity reaction, or an unknown AE. Patients who discontinued treatment because of unknown AEs had a physician’s note that detailed progressive disease, a significant decline in performance status, and another unknown adverse effect due to a previous sinus tract infection and infectious colitis (Table 5).
Management Analysis and Reporting Tool Database
MHS data analysts provided data on diagnoses for 639 patients among 687 submitteddiagnoses, with 294 patients completing and 345 discontinuing paclitaxel treatment. Patients in the completed treatment group had 3 to 258 unique health conditions documented, while patients in the discontinued treatment group had 4 to 181 unique health conditions documented. The MHS reported 3808 unique diagnosis conditions for the completed group and 3714 for the discontinued group (P = .02).
The mean (SD) number of diagnoses was 51 (31) for the completed and 55 (28) for the discontinued treatment groups (Figure). Among 639 patients who received paclitaxel, the top 5 diagnoses were administrative, including encounters for other administrative examinations; antineoplastic chemotherapy; administrative examination for unspecified; other specified counseling; and adjustment and management of vascular access device. The database does not differentiate between administrative and clinically significant diagnoses.
MHS data analysts provided data for 336 of 687 submitted patients who were prescribed paclitaxel; 46 patients had no PDTS data, and 305 patients had PDTS data without paclitaxel, Taxol, or Abraxane dispensed. Medications that were filled outside the chemotherapy period were removed by evaluating the dispensed date and day of supply. Among these 336 patients, 151 completed the treatment and 185 discontinued, with 14 patients experiencing documented AEs. Patients in the completed treatment group filled 9 to 56 prescriptions while patients in the discontinued treatment group filled 6 to 70 prescriptions.Patients in the discontinued group filled more prescriptions than those who completed treatment: 793 vs 591, respectively (P = .34).
The mean (SD) number of filled prescription drugs was 24 (9) for the completed and 34 (12) for the discontinued treatment group. The 5 most filled prescriptions with paclitaxel from 336 patients with PDTS data were dexamethasone (324 prescriptions with 14 recorded AEs), diphenhydramine (296 prescriptions with 12 recorded AEs), ondansetron (277 prescriptions with 11 recorded AEs), prochlorperazine (265 prescriptions with 12 recorded AEs), and sodium chloride (232 prescriptions with 11 recorded AEs).
DISCUSSION
As a retrospective review, this study is more limited in the strength of its conclusions when compared to randomized control trials. The DoD Cancer Registry Program only contains information about cancer types, stages, treatment regimens, and physicians’ notes. Therefore, noncancer drugs are based solely on the PDTS database. In most cases, physicians' notes on AEs were not detailed. There was no distinction between initial vs later lines of therapy and dosage reductions. The change in status or appearance of a new medical condition did not indicate whether paclitaxel caused the changes to develop or directly worsen a pre-existing condition. The PDTS records prescriptions filled, but that may not reflect patients taking prescriptions.
Paclitaxel
Paclitaxel has a long list of both approved and off-label uses in malignancies as a primary agent and in conjunction with other drugs. The FDA prescribing information for Taxol and Abraxane was last updated in April 2011 and September 2020, respectively.20,21 The National Institutes of Health National Library of Medicine has the current update for paclitaxel on July 2023.19,22 Thus, the prescribed information for paclitaxel referenced in the database may not always be up to date. The combinations of paclitaxel with bevacizumab, carboplatin, or carboplatin and pembrolizumab were not in the Taxol prescribing information. Likewise, a combination of nab-paclitaxel with atezolizumab or carboplatin and pembrolizumab is missing in the Abraxane prescribing information.22-27
The generic name is not the same as a generic drug, which may have slight differences from the brand name product.71 The generic drug versions of Taxol and Abraxane have been approved by the FDA as paclitaxel injectable and paclitaxel-protein bound, respectively. There was a global shortage of nab-paclitaxel from October 2021 to June 2022 because of a manufacturing problem.72 During this shortage, data showed similar comments from physician documents that treatment switched to Taxol due to the Abraxane shortage.
Of 336 patients in the PDTS database with dispensed paclitaxel prescriptions, 276 received paclitaxel (year dispensed, 2013-2022), 27 received Abraxane (year dispensed, 2013-2022), 47 received Taxol (year dispensed, 2004-2015), 8 received both Abraxane and paclitaxel, and 6 received both Taxol and paclitaxel. Based on this information, it appears that the distinction between the drugs was not made in the PDTS until after 2015, 10 years after Abraxane received FDA approval. Abraxane was prescribed in the MHS in 2013, 8 years after FDA approval. There were a few comparison studies of Abraxane and Taxol.73-76
Safety and effectiveness in pediatric patients have not been established for paclitaxel. According to the DoD Cancer Registry Program, the youngest patient was aged 2 months. In 2021, this patient was diagnosed with corpus uteri and treated with carboplatin and Taxol in course 1; in course 2, the patient reacted to Taxol; in course 3, Taxol was replaced with Abraxane; in courses 4 to 7, the patient was treated with carboplatin only.
Discontinued Treatment
Ten patients had prescribed Taxol that was changed due to AEs: 1 was switched to Abraxane and atezolizumab, 3 switched to Abraxane, 2 switched to docetaxel, 1 switched to doxorubicin, and 3 switched to pembrolizumab (based on physician’s comments). Of the 10 patients, 7 had Taxol reaction, 2 experienced disease progression, and 1 experienced high programmed death–ligand 1 expression (this patient with breast cancer was switched to Abraxane and atezolizumab during the accelerated FDA approval phase for atezolizumab, which was later revoked). Five patients were treated with carboplatin and Taxol for cancer of the anal canal (changed to pembrolizumab after disease progression), lung not otherwise specified (changed to carboplatin and pembrolizumab due to Taxol reaction), lower inner quadrant of the breast (changed to doxorubicin due to hypersensitivity reaction), corpus uteri (changed to Abraxane due to Taxol reaction), and ovary (changed to docetaxel due to Taxol reaction). Three patients were treated with doxorubicin, cyclophosphamide, and Taxol for breast cancer; 2 patients with breast cancer not otherwise specified switched to Abraxane due to cardiopulmonary hypersensitivity and Taxol reaction and 1 patient with cancer of the upper outer quadrant of the breast changed to docetaxel due to allergic reaction. One patient, who was treated with paclitaxel, ifosfamide, and cisplatin for metastasis of the lower lobe of the lung and kidney cancer, experienced complications due to infectious colitis (treated with ciprofloxacin) and then switched to pembrolizumab after the disease progressed. These AEs are known in paclitaxel medical literature on paclitaxel AEs.19-24,77-81
Combining 2 or more treatments to target cancer-inducing or cell-sustaining pathways is a cornerstone of chemotherapy.82-84 Most combinations are given on the same day, but some are not. For 3- or 4-drug combinations, doxorubicin and cyclophosphamide were given first, followed by paclitaxel with or withouttrastuzumab, carboplatin, or pembrolizumab. Only 16 patients (2%) were treated with paclitaxel alone; therefore, the completed and discontinued treatment groups are mostly concomitant treatment. As a result, the comparisons of the completed and discontinued treatment groups were almost the same for the diagnosis. The PDTS data have a better result because 2 exclusion criteria were applied before narrowing the analysis down to paclitaxel treatment specifically.
Antidepressants and Other Drugs
Drug response can vary from person to person and can lead to treatment failure related to AEs. One major factor in drug metabolism is CYP.85 CYP2C8 is the major pathway for paclitaxel and CYP3A4 is the minor pathway. When evaluating the noncancer drugs, there were no reports of CYP2C8 inhibition or induction.Over the years, many DDI warnings have been issued for paclitaxel with different drugs in various electronic resources.
Oncologists follow guidelines to prevent DDIs, as paclitaxel is known to have severe, moderate, and minor interactions with other drugs. Among 687 patients, 261 (38%) were prescribed any of 14 antidepressants. Eight of these antidepressants (amitriptyline, citalopram, desipramine, doxepin, venlafaxine, escitalopram, nortriptyline, and trazodone) are metabolized, 3 (mirtazapine, sertraline, and fluoxetine) are metabolized and inhibited, 2 (bupropion and duloxetine) are neither metabolized nor inhibited, and 1 (paroxetine) is inhibited by CYP3A4. Duloxetine, venlafaxine, and trazodone were more commonly dispensed (84, 78, and 42 patients, respectively) than others (≤ 33 patients).
Of 32 patients with documented AEs,14 (44%) had 168 dispensed drugs in the PDTS database. Six patients (19%) were treated with doxorubicin and cyclophosphamide followed by paclitaxel for breast cancer; 6 (19%) were treated with carboplatin and paclitaxel for cancer of the lung (n = 3), corpus uteri (n = 2), and ovary (n = 1); 1 patient (3%) was treated with carboplatin and paclitaxel, then switched to carboplatin, bevacizumab, and paclitaxel, and then completed treatment with carboplatin and paclitaxel for an unspecified female genital cancer; and 1 patient (3%) was treated with cisplatin, ifosfamide, and paclitaxel for metastasis of the lower lobe lung and kidney cancer.
The 14 patients with PDTS data had 18 cancer drugs dispensed. Eleven had moderate interaction reports and 7 had no interaction reports. A total of 165 noncancer drugs were dispensed, of which 3 were antidepressants and had no interactions reported, 8 had moderate interactions reported, and 2 had minor interactions with Taxol and Abraxane, respectively (Table 6).86-129
Of 3 patients who were dispensed bupropion, nortriptyline, or paroxetine, 1 patient with breast cancer was treated with doxorubicin andcyclophosphamide, followed by paclitaxel with bupropion, nortriptyline, pegfilgrastim,dexamethasone, and 17 other noncancer drugs that had no interaction report dispensed during paclitaxel treatment. Of 2 patients with lung cancer, 1 patient was treated with carboplatin and paclitaxel with nortriptyline, dexamethasone, and 13 additional medications, and the second patient was treated with paroxetine, cimetidine, dexamethasone, and 12 other medications. Patients were dispensed up to6 noncancer medications on the same day as paclitaxel administration to control the AEs, not including the prodrugs filled before the treatments. Paroxetine and cimetidine have weak inhibition, and dexamethasone has weak induction of CYP3A4. Therefore, while 1:1 DDIs might have little or no effect with weak inhibit/induce CYP3A4 drugs, 1:1:1 or more combinations could have a different outcome (confirmed in previous publications).65-67
Dispensed on the same day may not mean taken at the same time. One patient experienced an AE with dispensed 50 mg losartan, carboplatin plus paclitaxel, dexamethasone, and 6 other noncancer drugs. Losartan inhibits paclitaxel, which can lead to negative AEs.57,66,67 However, there were no blood or plasma samples taken to confirm the losartan was taken at the same time as the paclitaxel given this was not a clinical trial.
Conclusions
This retrospective study discusses the use of paclitaxel in the MHS and the potential DDIs associated with it. The study population consisted mostly of active-duty personnel, who are required to be healthy or have controlled or nonactive medical diagnoses and be physically fit. This group is mixed with dependents and retirees that are more reflective of the average US population. As a result, this patient population is healthier than the general population, with a lower prevalence of common illnesses such as diabetes and obesity. The study aimed to identify drugs used alongside paclitaxel treatment. While further research is needed to identify potential DDIs among patients who experienced AEs, in vitro testing will need to be conducted before confirming causality. The low number of AEs experienced by only 32 of 702 patients (5%), with no deaths during paclitaxel treatment, indicates that the drug is generally well tolerated. Although this study cannot conclude that concomitant use with noncancer drugs led to the discontinuation of paclitaxel, we can conclude that there seems to be no significant DDIsidentified between paclitaxel and antidepressants. This comprehensive overview provides clinicians with a complete picture of paclitaxel use for 27 years (1996-2022), enabling them to make informed decisions about paclitaxel treatment.
Acknowledgments
The Department of Research Program funds at Walter Reed National Military Medical Center supported this protocol. We sincerely appreciate the contribution of data extraction from the Joint Pathology Center teams (Francisco J. Rentas, John D. McGeeney, Beatriz A. Hallo, and Johnny P. Beason) and the MHS database personnel (Maj Ryan Costantino, Brandon E. Jenkins, and Alexander G. Rittel). We gratefully thank you for the protocol support from the Department of Research programs: CDR Martin L. Boese, CDR Wesley R. Campbell, Maj. Abhimanyu Chandel, CDR Ling Ye, Chelsea N. Powers, Yaling Zhou, Elizabeth Schafer, Micah Stretch, Diane Beaner, and Adrienne Woodard.
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Background
Paclitaxel was first derived from the bark of the yew tree (Taxus brevifolia). It was discovered as part of a National Cancer Institute program screen of plants and natural products with putative anticancer activity during the 1960s.1-9 Paclitaxel works by suppressing spindle microtube dynamics, which results in the blockage of the metaphase-anaphase transitions, inhibition of mitosis, and induction of apoptosis in a broad spectrum of cancer cells. Paclitaxel also displayed additional anticancer activities, including the suppression of cell proliferation and antiangiogenic effects. However, since the growth of normal body cells may also be affected, other adverse effects (AEs) will also occur.8-18
Two different chemotherapy drugs contain paclitaxel—paclitaxel and nab-paclitaxel—and the US Food and Drug Administration (FDA) recognizes them as separate entities.19-21 Taxol (paclitaxel) was approved by the FDA in 1992 for treating advanced ovarian cancer.20 It has since been approved for the treatment of metastatic breast cancer, AIDS-related Kaposi sarcoma (as an orphan drug), non-small cell lung cancer (NSCLC), and cervical cancers (in combination withbevacizumab) in 1994, 1997, 1999, and 2014, respectively.21 Since 2002, a generic version of Taxol, known as paclitaxel injectable, has been FDA-approved from different manufacturers. According to the National Cancer Institute, a combination of carboplatin and Taxol is approved to treat carcinoma of unknown primary, cervical, endometrial, NSCLC, ovarian, and thymoma cancers.19 Abraxane (nab-paclitaxel) was FDA-approved to treat metastatic breast cancer in 2005. It was later approved for first-line treatment of advanced NSCLC and late-stage pancreatic cancer in 2012 and 2013, respectively. In 2018 and 2020, both Taxol and Abraxane were approved for first-line treatment of metastatic squamous cell NSCLC in combination with carboplatin and pembrolizumab and metastatic triple-negative breast cancer in combination with pembrolizumab, respectively.22-26 In 2019, Abraxane was approved with atezolizumab to treat metastatic triple-negative breast cancer, but this approval was withdrawn in 2021. In 2022, a generic version of Abraxane, known as paclitaxel protein-bound, was released in the United States. Furthermore, paclitaxel-containing formulations also are being studied in the treatment of other types of cancer.19-32
One of the main limitations of paclitaxel is its low solubility in water, which complicates its drug supply. To distribute this hydrophobic anticancer drug efficiently, paclitaxel is formulated and administered to patients via polyethoxylated castor oil or albumin-bound (nab-paclitaxel). However, polyethoxylated castor oil induces complement activation and is the cause of common hypersensitivity reactions related to paclitaxel use.2,17,33-38 Therefore, many alternatives to polyethoxylated castor oil have been researched.
Since 2000, new paclitaxel formulations have emerged using nanomedicine techniques. The difference between these formulations is the drug vehicle. Different paclitaxel-based nanotechnological vehicles have been developed and approved, such as albumin-based nanoparticles, polymeric lipidic nanoparticles, polymeric micelles, and liposomes, with many others in clinical trial phases.3,37 Albumin-based nanoparticles have a high response rate (33%), whereas the response rate for polyethoxylated castor oil is 25% in patients with metastatic breast cancer.33,39-52 The use of paclitaxel dimer nanoparticles also has been proposed as a method for increasing drug solubility.33,53
Paclitaxel is metabolized by cytochrome P450 (CYP) isoenzymes 2C8 and 3A4. When administering paclitaxel with known inhibitors, inducers, or substrates of CYP2C8 or CYP3A4, caution is required.19-22 Regulations for CYP research were not issued until 2008, so potential interactions between paclitaxel and other drugs have not been extensively evaluated in clinical trials. A study of 12 kinase inhibitors showed strong inhibition of CYP2C8 and/or CYP3A4 pathways by these inhibitors, which could alter the ratio of paclitaxel metabolites in vivo, leading to clinically relevant changes.54 Differential metabolism has been linked to paclitaxel-induced neurotoxicity in patients with cancer.55 Nonetheless, variants in the CYP2C8, CYP3A4, CYP3A5, and ABCB1 genes do not account for significant interindividual variability in paclitaxel pharmacokinetics.56 In liver microsomes, losartan inhibited paclitaxel metabolism when used at concentrations > 50 µmol/L.57 Many drug-drug interaction (DDI) studies of CYP2C8 and CYP3A4 have shown similar results for paclitaxel.58-64
The goals of this study are to investigate prescribed drugs used with paclitaxel and determine patient outcomes through several Military Health System (MHS) databases. The investigation focused on (1) the functions of paclitaxel; (2) identifying AEs that patients experienced; (3) evaluating differences when paclitaxel is used alone vs concomitantly and between the completed vs discontinued treatment groups; (4) identifying all drugs used during paclitaxel treatment; and (5) evaluating DDIs with antidepressants (that have an FDA boxed warning and are known to have DDIs confirmed in previous publications) and other drugs.65-67
The Walter Reed National Military Medical Center in Bethesda, Maryland, institutionalreview board approved the study protocol and ensured compliance with the Health Insurance Portability and Accountability Act as an exempt protocol. The Joint Pathology Center (JPC) of the US Department of Defense (DoD) Cancer Registry Program and MHS data experts from the Comprehensive Ambulatory/Professional Encounter Record (CAPER) and the Pharmacy Data Transaction Service (PDTS) provided data for the analysis.
METHODS
The DoD Cancer Registry Program was established in 1986 and currently contains data from 1998 to 2024. CAPER and PDTS are part of the MHS Data Repository/Management Analysis and Reporting Tool database. Each observation in the CAPER record represents an ambulatory encounter at a military treatment facility (MTF). CAPER includes data from 2003 to 2024.
Each observation in the PDTS record represents a prescription filled for an MHS beneficiary at an MTF through the TRICARE mail-order program or a US retail pharmacy. Missing from this record are prescriptions filled at international civilian pharmacies and inpatient pharmacy prescriptions. The MHS Data Repository PDTS record is available from 2002 to 2024. The legacy Composite Health Care System is being replaced by GENESIS at MTFs.
Data Extraction Design
The study design involved a cross-sectional analysis. We requested data extraction for paclitaxel from 1998 to 2022. Data from the DoD Cancer Registry Program were used to identify patients who received cancer treatment. Once patients were identified, the CAPER database was searched for diagnoses to identify other health conditions, whereas the PDTS database was used to populate a list of prescription medications filled during chemotherapy treatment.
Data collected from the JPC included cancer treatment, cancer information, demographics, and physicians’ comments on AEs. Collected data from the MHS include diagnosis and filled prescription history from initiation to completion of the therapy period (or 2 years after the diagnosis date). For the analysis of the DoD Cancer Registry Program and CAPER databases, we used all collected data without excluding any. When analyzing PDTS data, we excluded patients with PDTS data but without a record of paclitaxel being filled, or medications filled outside the chemotherapy period (by evaluating the dispensed date and day of supply).
Data Extraction Analysis
The Surveillance, Epidemiology, and End Results Program Coding and Staging Manual 2016 and the International Classification of Diseases for Oncology, 3rd edition, 1st revision, were used to decode disease and cancer types.68,69 Data sorting and analysis were performed using Microsoft Excel. The percentage for the total was calculated by using the number of patients or data available within the paclitaxel groups divided by the total number of patients or data variables. The subgroup percentage was calculated by using the number of patients or data available within the subgroup divided by the total number of patients in that subgroup.
In alone vs concomitant and completed vs discontinued treatment groups, a 2-tailed, 2-sample z test was used to statistical significance (P < .05) using a statistics website.70 Concomitant was defined as paclitaxel taken with other antineoplastic agent(s) before, after, or at the same time as cancer therapy. For the retrospective data analysis, physicians’ notes with a period, comma, forward slash, semicolon, or space between medication names were interpreted as concurrent, whereas plus (+), minus/plus (-/+), or “and” between drug names that were dispensed on the same day were interpreted as combined with known common combinations: 2 drugs (DM886 paclitaxel and carboplatin and DM881-TC-1 paclitaxel and cisplatin) or 3 drugs (DM887-ACT doxorubicin, cyclophosphamide, and paclitaxel). Completed treatment was defined as paclitaxel as the last medication the patient took without recorded AEs; switching or experiencing AEs was defined as discontinued treatment.
RESULTS
The JPC provided 702 entries for 687 patients with a mean age of 56 years (range, 2 months to 88 years) who were treated with paclitaxel from March 1996 to October 2021. Fifteen patients had duplicate entries because they had multiple cancer sites or occurrences. There were 623 patients (89%) who received paclitaxel for FDA-approved indications. The most common types of cancer identified were 344 patients with breast cancer (49%), 91 patients with lung cancer (13%), 79 patients with ovarian cancer (11%), and 75 patients with endometrial cancer (11%) (Table 1). Seventy-nine patients (11%) received paclitaxel for cancers that were not for FDA-approved indications, including 19 for cancers of the fallopian tube (3%) and 17 for esophageal cancer (2%) (Table 2).
There were 477 patients (68%) aged > 50 years. A total of 304 patients (43%) had a stage III or IV cancer diagnosis and 398 (57%) had stage II or lower (combination of data for stages 0, I, and II; not applicable; and unknown) cancer diagnosis. For systemic treatment, 16 patients (2%) were treated with paclitaxel alone and 686 patients (98%) received paclitaxel concomitantly with additional chemotherapy: 59 patients (9%) in the before or after group, 410 patients (58%) had a 2-drug combination, 212 patients (30%) had a 3-drug combination, and 5 patients (1%) had a 4-drug combination. In addition, for doublet therapies, paclitaxel combined with carboplatin, trastuzumab, gemcitabine, or cisplatin had more patients (318, 58, 12, and 11, respectively) than other combinations (≤ 4 patients). For triplet therapies, paclitaxel combined withdoxorubicin plus cyclophosphamide or carboplatin plus bevacizumab had more patients (174 and 20, respectively) than other combinations, including quadruplet therapies (≤ 4 patients) (Table 3).
Patients were more likely to discontinue paclitaxel if they received concomitant treatment. None of the 16 patients receiving paclitaxel monotherapy experienced AEs, whereas 364 of 686 patients (53%) treated concomitantly discontinued (P < .001). Comparisons of 1 drug vs combination (2 to 4 drugs) and use for treating cancers that were FDA-approved indications vs off-label use were significant (P < .001), whereas comparisons of stage II or lower vs stage III and IV cancer and of those aged ≤ 50 years vs aged > 50 years were not significant (P = .50 andP = .30, respectively) (Table 4).
Among the 364 patients who had concomitant treatment and had discontinued their treatment, 332 (91%) switched treatments with no AEs documented and 32 (9%) experienced fatigue with pneumonia, mucositis, neuropathy, neurotoxicity, neutropenia, pneumonitis, allergic or hypersensitivity reaction, or an unknown AE. Patients who discontinued treatment because of unknown AEs had a physician’s note that detailed progressive disease, a significant decline in performance status, and another unknown adverse effect due to a previous sinus tract infection and infectious colitis (Table 5).
Management Analysis and Reporting Tool Database
MHS data analysts provided data on diagnoses for 639 patients among 687 submitteddiagnoses, with 294 patients completing and 345 discontinuing paclitaxel treatment. Patients in the completed treatment group had 3 to 258 unique health conditions documented, while patients in the discontinued treatment group had 4 to 181 unique health conditions documented. The MHS reported 3808 unique diagnosis conditions for the completed group and 3714 for the discontinued group (P = .02).
The mean (SD) number of diagnoses was 51 (31) for the completed and 55 (28) for the discontinued treatment groups (Figure). Among 639 patients who received paclitaxel, the top 5 diagnoses were administrative, including encounters for other administrative examinations; antineoplastic chemotherapy; administrative examination for unspecified; other specified counseling; and adjustment and management of vascular access device. The database does not differentiate between administrative and clinically significant diagnoses.
MHS data analysts provided data for 336 of 687 submitted patients who were prescribed paclitaxel; 46 patients had no PDTS data, and 305 patients had PDTS data without paclitaxel, Taxol, or Abraxane dispensed. Medications that were filled outside the chemotherapy period were removed by evaluating the dispensed date and day of supply. Among these 336 patients, 151 completed the treatment and 185 discontinued, with 14 patients experiencing documented AEs. Patients in the completed treatment group filled 9 to 56 prescriptions while patients in the discontinued treatment group filled 6 to 70 prescriptions.Patients in the discontinued group filled more prescriptions than those who completed treatment: 793 vs 591, respectively (P = .34).
The mean (SD) number of filled prescription drugs was 24 (9) for the completed and 34 (12) for the discontinued treatment group. The 5 most filled prescriptions with paclitaxel from 336 patients with PDTS data were dexamethasone (324 prescriptions with 14 recorded AEs), diphenhydramine (296 prescriptions with 12 recorded AEs), ondansetron (277 prescriptions with 11 recorded AEs), prochlorperazine (265 prescriptions with 12 recorded AEs), and sodium chloride (232 prescriptions with 11 recorded AEs).
DISCUSSION
As a retrospective review, this study is more limited in the strength of its conclusions when compared to randomized control trials. The DoD Cancer Registry Program only contains information about cancer types, stages, treatment regimens, and physicians’ notes. Therefore, noncancer drugs are based solely on the PDTS database. In most cases, physicians' notes on AEs were not detailed. There was no distinction between initial vs later lines of therapy and dosage reductions. The change in status or appearance of a new medical condition did not indicate whether paclitaxel caused the changes to develop or directly worsen a pre-existing condition. The PDTS records prescriptions filled, but that may not reflect patients taking prescriptions.
Paclitaxel
Paclitaxel has a long list of both approved and off-label uses in malignancies as a primary agent and in conjunction with other drugs. The FDA prescribing information for Taxol and Abraxane was last updated in April 2011 and September 2020, respectively.20,21 The National Institutes of Health National Library of Medicine has the current update for paclitaxel on July 2023.19,22 Thus, the prescribed information for paclitaxel referenced in the database may not always be up to date. The combinations of paclitaxel with bevacizumab, carboplatin, or carboplatin and pembrolizumab were not in the Taxol prescribing information. Likewise, a combination of nab-paclitaxel with atezolizumab or carboplatin and pembrolizumab is missing in the Abraxane prescribing information.22-27
The generic name is not the same as a generic drug, which may have slight differences from the brand name product.71 The generic drug versions of Taxol and Abraxane have been approved by the FDA as paclitaxel injectable and paclitaxel-protein bound, respectively. There was a global shortage of nab-paclitaxel from October 2021 to June 2022 because of a manufacturing problem.72 During this shortage, data showed similar comments from physician documents that treatment switched to Taxol due to the Abraxane shortage.
Of 336 patients in the PDTS database with dispensed paclitaxel prescriptions, 276 received paclitaxel (year dispensed, 2013-2022), 27 received Abraxane (year dispensed, 2013-2022), 47 received Taxol (year dispensed, 2004-2015), 8 received both Abraxane and paclitaxel, and 6 received both Taxol and paclitaxel. Based on this information, it appears that the distinction between the drugs was not made in the PDTS until after 2015, 10 years after Abraxane received FDA approval. Abraxane was prescribed in the MHS in 2013, 8 years after FDA approval. There were a few comparison studies of Abraxane and Taxol.73-76
Safety and effectiveness in pediatric patients have not been established for paclitaxel. According to the DoD Cancer Registry Program, the youngest patient was aged 2 months. In 2021, this patient was diagnosed with corpus uteri and treated with carboplatin and Taxol in course 1; in course 2, the patient reacted to Taxol; in course 3, Taxol was replaced with Abraxane; in courses 4 to 7, the patient was treated with carboplatin only.
Discontinued Treatment
Ten patients had prescribed Taxol that was changed due to AEs: 1 was switched to Abraxane and atezolizumab, 3 switched to Abraxane, 2 switched to docetaxel, 1 switched to doxorubicin, and 3 switched to pembrolizumab (based on physician’s comments). Of the 10 patients, 7 had Taxol reaction, 2 experienced disease progression, and 1 experienced high programmed death–ligand 1 expression (this patient with breast cancer was switched to Abraxane and atezolizumab during the accelerated FDA approval phase for atezolizumab, which was later revoked). Five patients were treated with carboplatin and Taxol for cancer of the anal canal (changed to pembrolizumab after disease progression), lung not otherwise specified (changed to carboplatin and pembrolizumab due to Taxol reaction), lower inner quadrant of the breast (changed to doxorubicin due to hypersensitivity reaction), corpus uteri (changed to Abraxane due to Taxol reaction), and ovary (changed to docetaxel due to Taxol reaction). Three patients were treated with doxorubicin, cyclophosphamide, and Taxol for breast cancer; 2 patients with breast cancer not otherwise specified switched to Abraxane due to cardiopulmonary hypersensitivity and Taxol reaction and 1 patient with cancer of the upper outer quadrant of the breast changed to docetaxel due to allergic reaction. One patient, who was treated with paclitaxel, ifosfamide, and cisplatin for metastasis of the lower lobe of the lung and kidney cancer, experienced complications due to infectious colitis (treated with ciprofloxacin) and then switched to pembrolizumab after the disease progressed. These AEs are known in paclitaxel medical literature on paclitaxel AEs.19-24,77-81
Combining 2 or more treatments to target cancer-inducing or cell-sustaining pathways is a cornerstone of chemotherapy.82-84 Most combinations are given on the same day, but some are not. For 3- or 4-drug combinations, doxorubicin and cyclophosphamide were given first, followed by paclitaxel with or withouttrastuzumab, carboplatin, or pembrolizumab. Only 16 patients (2%) were treated with paclitaxel alone; therefore, the completed and discontinued treatment groups are mostly concomitant treatment. As a result, the comparisons of the completed and discontinued treatment groups were almost the same for the diagnosis. The PDTS data have a better result because 2 exclusion criteria were applied before narrowing the analysis down to paclitaxel treatment specifically.
Antidepressants and Other Drugs
Drug response can vary from person to person and can lead to treatment failure related to AEs. One major factor in drug metabolism is CYP.85 CYP2C8 is the major pathway for paclitaxel and CYP3A4 is the minor pathway. When evaluating the noncancer drugs, there were no reports of CYP2C8 inhibition or induction.Over the years, many DDI warnings have been issued for paclitaxel with different drugs in various electronic resources.
Oncologists follow guidelines to prevent DDIs, as paclitaxel is known to have severe, moderate, and minor interactions with other drugs. Among 687 patients, 261 (38%) were prescribed any of 14 antidepressants. Eight of these antidepressants (amitriptyline, citalopram, desipramine, doxepin, venlafaxine, escitalopram, nortriptyline, and trazodone) are metabolized, 3 (mirtazapine, sertraline, and fluoxetine) are metabolized and inhibited, 2 (bupropion and duloxetine) are neither metabolized nor inhibited, and 1 (paroxetine) is inhibited by CYP3A4. Duloxetine, venlafaxine, and trazodone were more commonly dispensed (84, 78, and 42 patients, respectively) than others (≤ 33 patients).
Of 32 patients with documented AEs,14 (44%) had 168 dispensed drugs in the PDTS database. Six patients (19%) were treated with doxorubicin and cyclophosphamide followed by paclitaxel for breast cancer; 6 (19%) were treated with carboplatin and paclitaxel for cancer of the lung (n = 3), corpus uteri (n = 2), and ovary (n = 1); 1 patient (3%) was treated with carboplatin and paclitaxel, then switched to carboplatin, bevacizumab, and paclitaxel, and then completed treatment with carboplatin and paclitaxel for an unspecified female genital cancer; and 1 patient (3%) was treated with cisplatin, ifosfamide, and paclitaxel for metastasis of the lower lobe lung and kidney cancer.
The 14 patients with PDTS data had 18 cancer drugs dispensed. Eleven had moderate interaction reports and 7 had no interaction reports. A total of 165 noncancer drugs were dispensed, of which 3 were antidepressants and had no interactions reported, 8 had moderate interactions reported, and 2 had minor interactions with Taxol and Abraxane, respectively (Table 6).86-129
Of 3 patients who were dispensed bupropion, nortriptyline, or paroxetine, 1 patient with breast cancer was treated with doxorubicin andcyclophosphamide, followed by paclitaxel with bupropion, nortriptyline, pegfilgrastim,dexamethasone, and 17 other noncancer drugs that had no interaction report dispensed during paclitaxel treatment. Of 2 patients with lung cancer, 1 patient was treated with carboplatin and paclitaxel with nortriptyline, dexamethasone, and 13 additional medications, and the second patient was treated with paroxetine, cimetidine, dexamethasone, and 12 other medications. Patients were dispensed up to6 noncancer medications on the same day as paclitaxel administration to control the AEs, not including the prodrugs filled before the treatments. Paroxetine and cimetidine have weak inhibition, and dexamethasone has weak induction of CYP3A4. Therefore, while 1:1 DDIs might have little or no effect with weak inhibit/induce CYP3A4 drugs, 1:1:1 or more combinations could have a different outcome (confirmed in previous publications).65-67
Dispensed on the same day may not mean taken at the same time. One patient experienced an AE with dispensed 50 mg losartan, carboplatin plus paclitaxel, dexamethasone, and 6 other noncancer drugs. Losartan inhibits paclitaxel, which can lead to negative AEs.57,66,67 However, there were no blood or plasma samples taken to confirm the losartan was taken at the same time as the paclitaxel given this was not a clinical trial.
Conclusions
This retrospective study discusses the use of paclitaxel in the MHS and the potential DDIs associated with it. The study population consisted mostly of active-duty personnel, who are required to be healthy or have controlled or nonactive medical diagnoses and be physically fit. This group is mixed with dependents and retirees that are more reflective of the average US population. As a result, this patient population is healthier than the general population, with a lower prevalence of common illnesses such as diabetes and obesity. The study aimed to identify drugs used alongside paclitaxel treatment. While further research is needed to identify potential DDIs among patients who experienced AEs, in vitro testing will need to be conducted before confirming causality. The low number of AEs experienced by only 32 of 702 patients (5%), with no deaths during paclitaxel treatment, indicates that the drug is generally well tolerated. Although this study cannot conclude that concomitant use with noncancer drugs led to the discontinuation of paclitaxel, we can conclude that there seems to be no significant DDIsidentified between paclitaxel and antidepressants. This comprehensive overview provides clinicians with a complete picture of paclitaxel use for 27 years (1996-2022), enabling them to make informed decisions about paclitaxel treatment.
Acknowledgments
The Department of Research Program funds at Walter Reed National Military Medical Center supported this protocol. We sincerely appreciate the contribution of data extraction from the Joint Pathology Center teams (Francisco J. Rentas, John D. McGeeney, Beatriz A. Hallo, and Johnny P. Beason) and the MHS database personnel (Maj Ryan Costantino, Brandon E. Jenkins, and Alexander G. Rittel). We gratefully thank you for the protocol support from the Department of Research programs: CDR Martin L. Boese, CDR Wesley R. Campbell, Maj. Abhimanyu Chandel, CDR Ling Ye, Chelsea N. Powers, Yaling Zhou, Elizabeth Schafer, Micah Stretch, Diane Beaner, and Adrienne Woodard.
Background
Paclitaxel was first derived from the bark of the yew tree (Taxus brevifolia). It was discovered as part of a National Cancer Institute program screen of plants and natural products with putative anticancer activity during the 1960s.1-9 Paclitaxel works by suppressing spindle microtube dynamics, which results in the blockage of the metaphase-anaphase transitions, inhibition of mitosis, and induction of apoptosis in a broad spectrum of cancer cells. Paclitaxel also displayed additional anticancer activities, including the suppression of cell proliferation and antiangiogenic effects. However, since the growth of normal body cells may also be affected, other adverse effects (AEs) will also occur.8-18
Two different chemotherapy drugs contain paclitaxel—paclitaxel and nab-paclitaxel—and the US Food and Drug Administration (FDA) recognizes them as separate entities.19-21 Taxol (paclitaxel) was approved by the FDA in 1992 for treating advanced ovarian cancer.20 It has since been approved for the treatment of metastatic breast cancer, AIDS-related Kaposi sarcoma (as an orphan drug), non-small cell lung cancer (NSCLC), and cervical cancers (in combination withbevacizumab) in 1994, 1997, 1999, and 2014, respectively.21 Since 2002, a generic version of Taxol, known as paclitaxel injectable, has been FDA-approved from different manufacturers. According to the National Cancer Institute, a combination of carboplatin and Taxol is approved to treat carcinoma of unknown primary, cervical, endometrial, NSCLC, ovarian, and thymoma cancers.19 Abraxane (nab-paclitaxel) was FDA-approved to treat metastatic breast cancer in 2005. It was later approved for first-line treatment of advanced NSCLC and late-stage pancreatic cancer in 2012 and 2013, respectively. In 2018 and 2020, both Taxol and Abraxane were approved for first-line treatment of metastatic squamous cell NSCLC in combination with carboplatin and pembrolizumab and metastatic triple-negative breast cancer in combination with pembrolizumab, respectively.22-26 In 2019, Abraxane was approved with atezolizumab to treat metastatic triple-negative breast cancer, but this approval was withdrawn in 2021. In 2022, a generic version of Abraxane, known as paclitaxel protein-bound, was released in the United States. Furthermore, paclitaxel-containing formulations also are being studied in the treatment of other types of cancer.19-32
One of the main limitations of paclitaxel is its low solubility in water, which complicates its drug supply. To distribute this hydrophobic anticancer drug efficiently, paclitaxel is formulated and administered to patients via polyethoxylated castor oil or albumin-bound (nab-paclitaxel). However, polyethoxylated castor oil induces complement activation and is the cause of common hypersensitivity reactions related to paclitaxel use.2,17,33-38 Therefore, many alternatives to polyethoxylated castor oil have been researched.
Since 2000, new paclitaxel formulations have emerged using nanomedicine techniques. The difference between these formulations is the drug vehicle. Different paclitaxel-based nanotechnological vehicles have been developed and approved, such as albumin-based nanoparticles, polymeric lipidic nanoparticles, polymeric micelles, and liposomes, with many others in clinical trial phases.3,37 Albumin-based nanoparticles have a high response rate (33%), whereas the response rate for polyethoxylated castor oil is 25% in patients with metastatic breast cancer.33,39-52 The use of paclitaxel dimer nanoparticles also has been proposed as a method for increasing drug solubility.33,53
Paclitaxel is metabolized by cytochrome P450 (CYP) isoenzymes 2C8 and 3A4. When administering paclitaxel with known inhibitors, inducers, or substrates of CYP2C8 or CYP3A4, caution is required.19-22 Regulations for CYP research were not issued until 2008, so potential interactions between paclitaxel and other drugs have not been extensively evaluated in clinical trials. A study of 12 kinase inhibitors showed strong inhibition of CYP2C8 and/or CYP3A4 pathways by these inhibitors, which could alter the ratio of paclitaxel metabolites in vivo, leading to clinically relevant changes.54 Differential metabolism has been linked to paclitaxel-induced neurotoxicity in patients with cancer.55 Nonetheless, variants in the CYP2C8, CYP3A4, CYP3A5, and ABCB1 genes do not account for significant interindividual variability in paclitaxel pharmacokinetics.56 In liver microsomes, losartan inhibited paclitaxel metabolism when used at concentrations > 50 µmol/L.57 Many drug-drug interaction (DDI) studies of CYP2C8 and CYP3A4 have shown similar results for paclitaxel.58-64
The goals of this study are to investigate prescribed drugs used with paclitaxel and determine patient outcomes through several Military Health System (MHS) databases. The investigation focused on (1) the functions of paclitaxel; (2) identifying AEs that patients experienced; (3) evaluating differences when paclitaxel is used alone vs concomitantly and between the completed vs discontinued treatment groups; (4) identifying all drugs used during paclitaxel treatment; and (5) evaluating DDIs with antidepressants (that have an FDA boxed warning and are known to have DDIs confirmed in previous publications) and other drugs.65-67
The Walter Reed National Military Medical Center in Bethesda, Maryland, institutionalreview board approved the study protocol and ensured compliance with the Health Insurance Portability and Accountability Act as an exempt protocol. The Joint Pathology Center (JPC) of the US Department of Defense (DoD) Cancer Registry Program and MHS data experts from the Comprehensive Ambulatory/Professional Encounter Record (CAPER) and the Pharmacy Data Transaction Service (PDTS) provided data for the analysis.
METHODS
The DoD Cancer Registry Program was established in 1986 and currently contains data from 1998 to 2024. CAPER and PDTS are part of the MHS Data Repository/Management Analysis and Reporting Tool database. Each observation in the CAPER record represents an ambulatory encounter at a military treatment facility (MTF). CAPER includes data from 2003 to 2024.
Each observation in the PDTS record represents a prescription filled for an MHS beneficiary at an MTF through the TRICARE mail-order program or a US retail pharmacy. Missing from this record are prescriptions filled at international civilian pharmacies and inpatient pharmacy prescriptions. The MHS Data Repository PDTS record is available from 2002 to 2024. The legacy Composite Health Care System is being replaced by GENESIS at MTFs.
Data Extraction Design
The study design involved a cross-sectional analysis. We requested data extraction for paclitaxel from 1998 to 2022. Data from the DoD Cancer Registry Program were used to identify patients who received cancer treatment. Once patients were identified, the CAPER database was searched for diagnoses to identify other health conditions, whereas the PDTS database was used to populate a list of prescription medications filled during chemotherapy treatment.
Data collected from the JPC included cancer treatment, cancer information, demographics, and physicians’ comments on AEs. Collected data from the MHS include diagnosis and filled prescription history from initiation to completion of the therapy period (or 2 years after the diagnosis date). For the analysis of the DoD Cancer Registry Program and CAPER databases, we used all collected data without excluding any. When analyzing PDTS data, we excluded patients with PDTS data but without a record of paclitaxel being filled, or medications filled outside the chemotherapy period (by evaluating the dispensed date and day of supply).
Data Extraction Analysis
The Surveillance, Epidemiology, and End Results Program Coding and Staging Manual 2016 and the International Classification of Diseases for Oncology, 3rd edition, 1st revision, were used to decode disease and cancer types.68,69 Data sorting and analysis were performed using Microsoft Excel. The percentage for the total was calculated by using the number of patients or data available within the paclitaxel groups divided by the total number of patients or data variables. The subgroup percentage was calculated by using the number of patients or data available within the subgroup divided by the total number of patients in that subgroup.
In alone vs concomitant and completed vs discontinued treatment groups, a 2-tailed, 2-sample z test was used to statistical significance (P < .05) using a statistics website.70 Concomitant was defined as paclitaxel taken with other antineoplastic agent(s) before, after, or at the same time as cancer therapy. For the retrospective data analysis, physicians’ notes with a period, comma, forward slash, semicolon, or space between medication names were interpreted as concurrent, whereas plus (+), minus/plus (-/+), or “and” between drug names that were dispensed on the same day were interpreted as combined with known common combinations: 2 drugs (DM886 paclitaxel and carboplatin and DM881-TC-1 paclitaxel and cisplatin) or 3 drugs (DM887-ACT doxorubicin, cyclophosphamide, and paclitaxel). Completed treatment was defined as paclitaxel as the last medication the patient took without recorded AEs; switching or experiencing AEs was defined as discontinued treatment.
RESULTS
The JPC provided 702 entries for 687 patients with a mean age of 56 years (range, 2 months to 88 years) who were treated with paclitaxel from March 1996 to October 2021. Fifteen patients had duplicate entries because they had multiple cancer sites or occurrences. There were 623 patients (89%) who received paclitaxel for FDA-approved indications. The most common types of cancer identified were 344 patients with breast cancer (49%), 91 patients with lung cancer (13%), 79 patients with ovarian cancer (11%), and 75 patients with endometrial cancer (11%) (Table 1). Seventy-nine patients (11%) received paclitaxel for cancers that were not for FDA-approved indications, including 19 for cancers of the fallopian tube (3%) and 17 for esophageal cancer (2%) (Table 2).
There were 477 patients (68%) aged > 50 years. A total of 304 patients (43%) had a stage III or IV cancer diagnosis and 398 (57%) had stage II or lower (combination of data for stages 0, I, and II; not applicable; and unknown) cancer diagnosis. For systemic treatment, 16 patients (2%) were treated with paclitaxel alone and 686 patients (98%) received paclitaxel concomitantly with additional chemotherapy: 59 patients (9%) in the before or after group, 410 patients (58%) had a 2-drug combination, 212 patients (30%) had a 3-drug combination, and 5 patients (1%) had a 4-drug combination. In addition, for doublet therapies, paclitaxel combined with carboplatin, trastuzumab, gemcitabine, or cisplatin had more patients (318, 58, 12, and 11, respectively) than other combinations (≤ 4 patients). For triplet therapies, paclitaxel combined withdoxorubicin plus cyclophosphamide or carboplatin plus bevacizumab had more patients (174 and 20, respectively) than other combinations, including quadruplet therapies (≤ 4 patients) (Table 3).
Patients were more likely to discontinue paclitaxel if they received concomitant treatment. None of the 16 patients receiving paclitaxel monotherapy experienced AEs, whereas 364 of 686 patients (53%) treated concomitantly discontinued (P < .001). Comparisons of 1 drug vs combination (2 to 4 drugs) and use for treating cancers that were FDA-approved indications vs off-label use were significant (P < .001), whereas comparisons of stage II or lower vs stage III and IV cancer and of those aged ≤ 50 years vs aged > 50 years were not significant (P = .50 andP = .30, respectively) (Table 4).
Among the 364 patients who had concomitant treatment and had discontinued their treatment, 332 (91%) switched treatments with no AEs documented and 32 (9%) experienced fatigue with pneumonia, mucositis, neuropathy, neurotoxicity, neutropenia, pneumonitis, allergic or hypersensitivity reaction, or an unknown AE. Patients who discontinued treatment because of unknown AEs had a physician’s note that detailed progressive disease, a significant decline in performance status, and another unknown adverse effect due to a previous sinus tract infection and infectious colitis (Table 5).
Management Analysis and Reporting Tool Database
MHS data analysts provided data on diagnoses for 639 patients among 687 submitteddiagnoses, with 294 patients completing and 345 discontinuing paclitaxel treatment. Patients in the completed treatment group had 3 to 258 unique health conditions documented, while patients in the discontinued treatment group had 4 to 181 unique health conditions documented. The MHS reported 3808 unique diagnosis conditions for the completed group and 3714 for the discontinued group (P = .02).
The mean (SD) number of diagnoses was 51 (31) for the completed and 55 (28) for the discontinued treatment groups (Figure). Among 639 patients who received paclitaxel, the top 5 diagnoses were administrative, including encounters for other administrative examinations; antineoplastic chemotherapy; administrative examination for unspecified; other specified counseling; and adjustment and management of vascular access device. The database does not differentiate between administrative and clinically significant diagnoses.
MHS data analysts provided data for 336 of 687 submitted patients who were prescribed paclitaxel; 46 patients had no PDTS data, and 305 patients had PDTS data without paclitaxel, Taxol, or Abraxane dispensed. Medications that were filled outside the chemotherapy period were removed by evaluating the dispensed date and day of supply. Among these 336 patients, 151 completed the treatment and 185 discontinued, with 14 patients experiencing documented AEs. Patients in the completed treatment group filled 9 to 56 prescriptions while patients in the discontinued treatment group filled 6 to 70 prescriptions.Patients in the discontinued group filled more prescriptions than those who completed treatment: 793 vs 591, respectively (P = .34).
The mean (SD) number of filled prescription drugs was 24 (9) for the completed and 34 (12) for the discontinued treatment group. The 5 most filled prescriptions with paclitaxel from 336 patients with PDTS data were dexamethasone (324 prescriptions with 14 recorded AEs), diphenhydramine (296 prescriptions with 12 recorded AEs), ondansetron (277 prescriptions with 11 recorded AEs), prochlorperazine (265 prescriptions with 12 recorded AEs), and sodium chloride (232 prescriptions with 11 recorded AEs).
DISCUSSION
As a retrospective review, this study is more limited in the strength of its conclusions when compared to randomized control trials. The DoD Cancer Registry Program only contains information about cancer types, stages, treatment regimens, and physicians’ notes. Therefore, noncancer drugs are based solely on the PDTS database. In most cases, physicians' notes on AEs were not detailed. There was no distinction between initial vs later lines of therapy and dosage reductions. The change in status or appearance of a new medical condition did not indicate whether paclitaxel caused the changes to develop or directly worsen a pre-existing condition. The PDTS records prescriptions filled, but that may not reflect patients taking prescriptions.
Paclitaxel
Paclitaxel has a long list of both approved and off-label uses in malignancies as a primary agent and in conjunction with other drugs. The FDA prescribing information for Taxol and Abraxane was last updated in April 2011 and September 2020, respectively.20,21 The National Institutes of Health National Library of Medicine has the current update for paclitaxel on July 2023.19,22 Thus, the prescribed information for paclitaxel referenced in the database may not always be up to date. The combinations of paclitaxel with bevacizumab, carboplatin, or carboplatin and pembrolizumab were not in the Taxol prescribing information. Likewise, a combination of nab-paclitaxel with atezolizumab or carboplatin and pembrolizumab is missing in the Abraxane prescribing information.22-27
The generic name is not the same as a generic drug, which may have slight differences from the brand name product.71 The generic drug versions of Taxol and Abraxane have been approved by the FDA as paclitaxel injectable and paclitaxel-protein bound, respectively. There was a global shortage of nab-paclitaxel from October 2021 to June 2022 because of a manufacturing problem.72 During this shortage, data showed similar comments from physician documents that treatment switched to Taxol due to the Abraxane shortage.
Of 336 patients in the PDTS database with dispensed paclitaxel prescriptions, 276 received paclitaxel (year dispensed, 2013-2022), 27 received Abraxane (year dispensed, 2013-2022), 47 received Taxol (year dispensed, 2004-2015), 8 received both Abraxane and paclitaxel, and 6 received both Taxol and paclitaxel. Based on this information, it appears that the distinction between the drugs was not made in the PDTS until after 2015, 10 years after Abraxane received FDA approval. Abraxane was prescribed in the MHS in 2013, 8 years after FDA approval. There were a few comparison studies of Abraxane and Taxol.73-76
Safety and effectiveness in pediatric patients have not been established for paclitaxel. According to the DoD Cancer Registry Program, the youngest patient was aged 2 months. In 2021, this patient was diagnosed with corpus uteri and treated with carboplatin and Taxol in course 1; in course 2, the patient reacted to Taxol; in course 3, Taxol was replaced with Abraxane; in courses 4 to 7, the patient was treated with carboplatin only.
Discontinued Treatment
Ten patients had prescribed Taxol that was changed due to AEs: 1 was switched to Abraxane and atezolizumab, 3 switched to Abraxane, 2 switched to docetaxel, 1 switched to doxorubicin, and 3 switched to pembrolizumab (based on physician’s comments). Of the 10 patients, 7 had Taxol reaction, 2 experienced disease progression, and 1 experienced high programmed death–ligand 1 expression (this patient with breast cancer was switched to Abraxane and atezolizumab during the accelerated FDA approval phase for atezolizumab, which was later revoked). Five patients were treated with carboplatin and Taxol for cancer of the anal canal (changed to pembrolizumab after disease progression), lung not otherwise specified (changed to carboplatin and pembrolizumab due to Taxol reaction), lower inner quadrant of the breast (changed to doxorubicin due to hypersensitivity reaction), corpus uteri (changed to Abraxane due to Taxol reaction), and ovary (changed to docetaxel due to Taxol reaction). Three patients were treated with doxorubicin, cyclophosphamide, and Taxol for breast cancer; 2 patients with breast cancer not otherwise specified switched to Abraxane due to cardiopulmonary hypersensitivity and Taxol reaction and 1 patient with cancer of the upper outer quadrant of the breast changed to docetaxel due to allergic reaction. One patient, who was treated with paclitaxel, ifosfamide, and cisplatin for metastasis of the lower lobe of the lung and kidney cancer, experienced complications due to infectious colitis (treated with ciprofloxacin) and then switched to pembrolizumab after the disease progressed. These AEs are known in paclitaxel medical literature on paclitaxel AEs.19-24,77-81
Combining 2 or more treatments to target cancer-inducing or cell-sustaining pathways is a cornerstone of chemotherapy.82-84 Most combinations are given on the same day, but some are not. For 3- or 4-drug combinations, doxorubicin and cyclophosphamide were given first, followed by paclitaxel with or withouttrastuzumab, carboplatin, or pembrolizumab. Only 16 patients (2%) were treated with paclitaxel alone; therefore, the completed and discontinued treatment groups are mostly concomitant treatment. As a result, the comparisons of the completed and discontinued treatment groups were almost the same for the diagnosis. The PDTS data have a better result because 2 exclusion criteria were applied before narrowing the analysis down to paclitaxel treatment specifically.
Antidepressants and Other Drugs
Drug response can vary from person to person and can lead to treatment failure related to AEs. One major factor in drug metabolism is CYP.85 CYP2C8 is the major pathway for paclitaxel and CYP3A4 is the minor pathway. When evaluating the noncancer drugs, there were no reports of CYP2C8 inhibition or induction.Over the years, many DDI warnings have been issued for paclitaxel with different drugs in various electronic resources.
Oncologists follow guidelines to prevent DDIs, as paclitaxel is known to have severe, moderate, and minor interactions with other drugs. Among 687 patients, 261 (38%) were prescribed any of 14 antidepressants. Eight of these antidepressants (amitriptyline, citalopram, desipramine, doxepin, venlafaxine, escitalopram, nortriptyline, and trazodone) are metabolized, 3 (mirtazapine, sertraline, and fluoxetine) are metabolized and inhibited, 2 (bupropion and duloxetine) are neither metabolized nor inhibited, and 1 (paroxetine) is inhibited by CYP3A4. Duloxetine, venlafaxine, and trazodone were more commonly dispensed (84, 78, and 42 patients, respectively) than others (≤ 33 patients).
Of 32 patients with documented AEs,14 (44%) had 168 dispensed drugs in the PDTS database. Six patients (19%) were treated with doxorubicin and cyclophosphamide followed by paclitaxel for breast cancer; 6 (19%) were treated with carboplatin and paclitaxel for cancer of the lung (n = 3), corpus uteri (n = 2), and ovary (n = 1); 1 patient (3%) was treated with carboplatin and paclitaxel, then switched to carboplatin, bevacizumab, and paclitaxel, and then completed treatment with carboplatin and paclitaxel for an unspecified female genital cancer; and 1 patient (3%) was treated with cisplatin, ifosfamide, and paclitaxel for metastasis of the lower lobe lung and kidney cancer.
The 14 patients with PDTS data had 18 cancer drugs dispensed. Eleven had moderate interaction reports and 7 had no interaction reports. A total of 165 noncancer drugs were dispensed, of which 3 were antidepressants and had no interactions reported, 8 had moderate interactions reported, and 2 had minor interactions with Taxol and Abraxane, respectively (Table 6).86-129
Of 3 patients who were dispensed bupropion, nortriptyline, or paroxetine, 1 patient with breast cancer was treated with doxorubicin andcyclophosphamide, followed by paclitaxel with bupropion, nortriptyline, pegfilgrastim,dexamethasone, and 17 other noncancer drugs that had no interaction report dispensed during paclitaxel treatment. Of 2 patients with lung cancer, 1 patient was treated with carboplatin and paclitaxel with nortriptyline, dexamethasone, and 13 additional medications, and the second patient was treated with paroxetine, cimetidine, dexamethasone, and 12 other medications. Patients were dispensed up to6 noncancer medications on the same day as paclitaxel administration to control the AEs, not including the prodrugs filled before the treatments. Paroxetine and cimetidine have weak inhibition, and dexamethasone has weak induction of CYP3A4. Therefore, while 1:1 DDIs might have little or no effect with weak inhibit/induce CYP3A4 drugs, 1:1:1 or more combinations could have a different outcome (confirmed in previous publications).65-67
Dispensed on the same day may not mean taken at the same time. One patient experienced an AE with dispensed 50 mg losartan, carboplatin plus paclitaxel, dexamethasone, and 6 other noncancer drugs. Losartan inhibits paclitaxel, which can lead to negative AEs.57,66,67 However, there were no blood or plasma samples taken to confirm the losartan was taken at the same time as the paclitaxel given this was not a clinical trial.
Conclusions
This retrospective study discusses the use of paclitaxel in the MHS and the potential DDIs associated with it. The study population consisted mostly of active-duty personnel, who are required to be healthy or have controlled or nonactive medical diagnoses and be physically fit. This group is mixed with dependents and retirees that are more reflective of the average US population. As a result, this patient population is healthier than the general population, with a lower prevalence of common illnesses such as diabetes and obesity. The study aimed to identify drugs used alongside paclitaxel treatment. While further research is needed to identify potential DDIs among patients who experienced AEs, in vitro testing will need to be conducted before confirming causality. The low number of AEs experienced by only 32 of 702 patients (5%), with no deaths during paclitaxel treatment, indicates that the drug is generally well tolerated. Although this study cannot conclude that concomitant use with noncancer drugs led to the discontinuation of paclitaxel, we can conclude that there seems to be no significant DDIsidentified between paclitaxel and antidepressants. This comprehensive overview provides clinicians with a complete picture of paclitaxel use for 27 years (1996-2022), enabling them to make informed decisions about paclitaxel treatment.
Acknowledgments
The Department of Research Program funds at Walter Reed National Military Medical Center supported this protocol. We sincerely appreciate the contribution of data extraction from the Joint Pathology Center teams (Francisco J. Rentas, John D. McGeeney, Beatriz A. Hallo, and Johnny P. Beason) and the MHS database personnel (Maj Ryan Costantino, Brandon E. Jenkins, and Alexander G. Rittel). We gratefully thank you for the protocol support from the Department of Research programs: CDR Martin L. Boese, CDR Wesley R. Campbell, Maj. Abhimanyu Chandel, CDR Ling Ye, Chelsea N. Powers, Yaling Zhou, Elizabeth Schafer, Micah Stretch, Diane Beaner, and Adrienne Woodard.
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100. Pemetrexed injection. Prescribing information. Fareva Unterach; 2022. Accessed June 5, 2024. https://www.accessdata.fda.gov/drugsatfda_docs/label/2022/214657s000lbl.pdf
101. Topotecan Injection. Prescribing information. Zydus Hospira Oncology; 2014. Accessed June 5, 2024. https://www.accessdata.fda.gov/drugsatfda_docs/label/2014/200582s001lbl.pdf
102. Ibrance (palbociclib). Prescribing information. Pfizer; 2019. Accessed June 5, 2024. https://www.accessdata.fda.gov/drugsatfda_docs/label/2019/207103s008lbl.pdf
103. Navelbine (vinorelbine) injection. Prescribing information. Pierre Fabre Médicament; 2020. Accessed June 5, 2024. https://www.accessdata.fda.gov/drugsatfda_docs/label/2020/020388s037lbl.pdf
104. LiverTox: clinical and research information on drug-induced liver injury; 2012. Letrozole. Updated July 25, 2017. Accessed June 5, 2024. https://www.ncbi.nlm.nih.gov/books/NBK548381/
105. Femara (letrozole). Prescribing information. Novartis; 2014. Accessed June 5, 2024. https://www.accessdata.fda.gov/drugsatfda_docs/label/2014/020726s027lbl.pdf
106. Soltamox (tamoxifen citrate). Prescribing information. Rosemont Pharmaceuticals; 2018. Accessed June 5, 2024. https://www.accessdata.fda.gov/drugsatfda_docs/label/2018/021807s005lbl.pdf
107. LiverTox: clinical and research information on drug-induced liver injury; 2012. Anastrozole. Updated July 25, 2017. Accessed June 5, 2024. https://www.ncbi.nlm.nih.gov/books/NBK548189/
108. Grimm SW, Dyroff MC. Inhibition of human drug metabolizing cytochromes P450 by anastrozole, a potent and selective inhibitor of aromatase. Drug Metab Dispos. 1997;25(5):598-602.
109. Arimidex (anastrozole). Prescribing information. AstraZeneca; 2010. Accessed June 5, 2024. https://www.accessdata.fda.gov/drugsatfda_docs/label/2011/020541s026lbl.pdf
110. Megace (megestrol acetate). Prescribing information. Endo Pharmaceuticals; 2018. Accessed June 5, 2024. https://www.accessdata.fda.gov/drugsatfda_docs/label/2018/021778s024lbl.pdf
111. Imfinzi (durvalumab). Prescribing information. AstraZeneca; 2020. Accessed June 5, 2024. https://www.accessdata.fda.gov/drugsatfda_docs/label/2020/761069s018lbl.pdf
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115. Paxil (paroxetine). Prescribing information. Apotex Inc.; 2021. Accessed June 5, 2024. https://www.accessdata.fda.gov/drugsatfda_docs/label/2021/020031s077lbl.pdf
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125. Neupogen (filgrastim). Prescribing information. Amgen Inc.; 2015. Accessed June 5, 2024. https://www.accessdata.fda.gov/drugsatfda_docs/label/2015/103353s5184lbl.pdf
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Risk Stratification May Work Well for FIT-Based CRC Screening in Elderly
WASHINGTON — , according to a study presented at the annual Digestive Disease Week® (DDW).
In particular, interval CRC risk can vary substantially based on the fecal hemoglobin (f-Hb) concentration in the patient’s last fecal immunochemical test (FIT), as well as the number of prior screening rounds.
“Less is known about what happens after the upper age limit has been reached and individuals are not invited to participate in more screening rounds. This is important as life expectancy is increasing, and it is increasingly important to consider the most efficient way of screening the elderly,” said lead author Brenda van Stigt, a PhD candidate focused on cancer screening at Erasmus University Medical Center in Rotterdam, the Netherlands.
In the Netherlands, adults between ages 55 and 75 are invited to participate in stool-based CRC screening every 2 years. Based on a fecal immunochemical testing (FIT) threshold of 47 μg Hb/g, those who test positive are referred to colonoscopy, and those who test negative are invited to participate again after a 2-year period.
FIT can play a major role in risk stratification, Ms. van Stigt noted, along with other factors that influence CRC risk, such as age, sex, and CRC screening history. Although this is documented for ages 55-75, she and colleagues wanted to know more about what happens after age 75.
Ms. Van Stigt and colleagues conducted a population-based study by analyzing Dutch national cancer registry data and FIT results around the final screening at age 75, looking at those who were diagnosed with CRC within 24 months of their last negative FIT. The researchers assessed interval CRC risk and cancer stage, accounting for sex, last f-Hb concentration, and the number of screening rounds.
Among 305,761 people with a complete 24-month follow-up after a negative FIT, 661 patients were diagnosed with interval CRC, indicating an overall interval CRC risk of 21.6 per 10,000 individuals with a negative FIT. There were no significant differences by sex.
However, there were differences by screening rounds, with those who had participated in three or four screening rounds having a lower risk than those who participated only once (HR, .49).
In addition, those with detectable f-Hb (>0 μg Hb/g) in their last screening round had a much higher interval CRC risk (HR, 4.87), at 65.8 per 10,000 negative FITs, compared with 13.8 per 10,000 among those without detectable f-Hb. Interval CRC risk also increased over time for those with detectable f-Hb.
About 15% of the total population had detectable f-Hb, whereas 46% of those with interval CRC had detectable f-Hb, Ms. van Stigt said, meaning that nearly half of patients who were diagnosed with interval CRC already had detectable f-Hb in their prior FIT.
In a survival analysis, there was no association between interval CRC risk and sex. However, those who participated in three or four screening rounds were half as likely to be diagnosed than those who participated once or twice, and those with detectable f-Hb were five times as likely to be diagnosed.
For late-stage CRC, there was no association with sex or the number of screening rounds. Detectable f-Hb was associated with not only a higher risk of interval CRC but also a late-stage diagnosis.
“These findings indicate that one uniform age to stop screening is suboptimal,” Ms. van Stigt said. “Personalized screening strategies should, therefore, also ideally incorporate a risk-stratified age to stop screening.”
The US Preventive Services Task Force recommends that clinicians personalize screening for ages 76-85, accounting for overall health, prior screening history, and patient preferences.
“But we have no clear guidance on how to quantify or weigh these factors. This interesting study highlights how one of these factors (prior screening history) and fecal hemoglobin level (an emerging factor) are powerful stratifiers of subsequent colorectal cancer risk,” said Sameer D. Saini, MD, AGAF, director and research investigator at the VA Ann Arbor Healthcare System’s Center for Clinical Management Research. Dr. Saini wasn’t involved with the study.
At the clinical level, Dr. Saini said, sophisticated modeling is needed to understand the interaction with competing risks and identify the optimal screening strategies for patients at varying levels of cancer risk and life expectancy. Models could also help to quantify the population benefits and cost-effectiveness of personalized screening.
“Finally, it is important to note that, in many health systems, access to quantitative FIT may be limited,” he said. “These data may be less informative if colonoscopy is the primary mode of screening.”
Ms. van Stigt and Dr. Saini reported no relevant disclosures.
WASHINGTON — , according to a study presented at the annual Digestive Disease Week® (DDW).
In particular, interval CRC risk can vary substantially based on the fecal hemoglobin (f-Hb) concentration in the patient’s last fecal immunochemical test (FIT), as well as the number of prior screening rounds.
“Less is known about what happens after the upper age limit has been reached and individuals are not invited to participate in more screening rounds. This is important as life expectancy is increasing, and it is increasingly important to consider the most efficient way of screening the elderly,” said lead author Brenda van Stigt, a PhD candidate focused on cancer screening at Erasmus University Medical Center in Rotterdam, the Netherlands.
In the Netherlands, adults between ages 55 and 75 are invited to participate in stool-based CRC screening every 2 years. Based on a fecal immunochemical testing (FIT) threshold of 47 μg Hb/g, those who test positive are referred to colonoscopy, and those who test negative are invited to participate again after a 2-year period.
FIT can play a major role in risk stratification, Ms. van Stigt noted, along with other factors that influence CRC risk, such as age, sex, and CRC screening history. Although this is documented for ages 55-75, she and colleagues wanted to know more about what happens after age 75.
Ms. Van Stigt and colleagues conducted a population-based study by analyzing Dutch national cancer registry data and FIT results around the final screening at age 75, looking at those who were diagnosed with CRC within 24 months of their last negative FIT. The researchers assessed interval CRC risk and cancer stage, accounting for sex, last f-Hb concentration, and the number of screening rounds.
Among 305,761 people with a complete 24-month follow-up after a negative FIT, 661 patients were diagnosed with interval CRC, indicating an overall interval CRC risk of 21.6 per 10,000 individuals with a negative FIT. There were no significant differences by sex.
However, there were differences by screening rounds, with those who had participated in three or four screening rounds having a lower risk than those who participated only once (HR, .49).
In addition, those with detectable f-Hb (>0 μg Hb/g) in their last screening round had a much higher interval CRC risk (HR, 4.87), at 65.8 per 10,000 negative FITs, compared with 13.8 per 10,000 among those without detectable f-Hb. Interval CRC risk also increased over time for those with detectable f-Hb.
About 15% of the total population had detectable f-Hb, whereas 46% of those with interval CRC had detectable f-Hb, Ms. van Stigt said, meaning that nearly half of patients who were diagnosed with interval CRC already had detectable f-Hb in their prior FIT.
In a survival analysis, there was no association between interval CRC risk and sex. However, those who participated in three or four screening rounds were half as likely to be diagnosed than those who participated once or twice, and those with detectable f-Hb were five times as likely to be diagnosed.
For late-stage CRC, there was no association with sex or the number of screening rounds. Detectable f-Hb was associated with not only a higher risk of interval CRC but also a late-stage diagnosis.
“These findings indicate that one uniform age to stop screening is suboptimal,” Ms. van Stigt said. “Personalized screening strategies should, therefore, also ideally incorporate a risk-stratified age to stop screening.”
The US Preventive Services Task Force recommends that clinicians personalize screening for ages 76-85, accounting for overall health, prior screening history, and patient preferences.
“But we have no clear guidance on how to quantify or weigh these factors. This interesting study highlights how one of these factors (prior screening history) and fecal hemoglobin level (an emerging factor) are powerful stratifiers of subsequent colorectal cancer risk,” said Sameer D. Saini, MD, AGAF, director and research investigator at the VA Ann Arbor Healthcare System’s Center for Clinical Management Research. Dr. Saini wasn’t involved with the study.
At the clinical level, Dr. Saini said, sophisticated modeling is needed to understand the interaction with competing risks and identify the optimal screening strategies for patients at varying levels of cancer risk and life expectancy. Models could also help to quantify the population benefits and cost-effectiveness of personalized screening.
“Finally, it is important to note that, in many health systems, access to quantitative FIT may be limited,” he said. “These data may be less informative if colonoscopy is the primary mode of screening.”
Ms. van Stigt and Dr. Saini reported no relevant disclosures.
WASHINGTON — , according to a study presented at the annual Digestive Disease Week® (DDW).
In particular, interval CRC risk can vary substantially based on the fecal hemoglobin (f-Hb) concentration in the patient’s last fecal immunochemical test (FIT), as well as the number of prior screening rounds.
“Less is known about what happens after the upper age limit has been reached and individuals are not invited to participate in more screening rounds. This is important as life expectancy is increasing, and it is increasingly important to consider the most efficient way of screening the elderly,” said lead author Brenda van Stigt, a PhD candidate focused on cancer screening at Erasmus University Medical Center in Rotterdam, the Netherlands.
In the Netherlands, adults between ages 55 and 75 are invited to participate in stool-based CRC screening every 2 years. Based on a fecal immunochemical testing (FIT) threshold of 47 μg Hb/g, those who test positive are referred to colonoscopy, and those who test negative are invited to participate again after a 2-year period.
FIT can play a major role in risk stratification, Ms. van Stigt noted, along with other factors that influence CRC risk, such as age, sex, and CRC screening history. Although this is documented for ages 55-75, she and colleagues wanted to know more about what happens after age 75.
Ms. Van Stigt and colleagues conducted a population-based study by analyzing Dutch national cancer registry data and FIT results around the final screening at age 75, looking at those who were diagnosed with CRC within 24 months of their last negative FIT. The researchers assessed interval CRC risk and cancer stage, accounting for sex, last f-Hb concentration, and the number of screening rounds.
Among 305,761 people with a complete 24-month follow-up after a negative FIT, 661 patients were diagnosed with interval CRC, indicating an overall interval CRC risk of 21.6 per 10,000 individuals with a negative FIT. There were no significant differences by sex.
However, there were differences by screening rounds, with those who had participated in three or four screening rounds having a lower risk than those who participated only once (HR, .49).
In addition, those with detectable f-Hb (>0 μg Hb/g) in their last screening round had a much higher interval CRC risk (HR, 4.87), at 65.8 per 10,000 negative FITs, compared with 13.8 per 10,000 among those without detectable f-Hb. Interval CRC risk also increased over time for those with detectable f-Hb.
About 15% of the total population had detectable f-Hb, whereas 46% of those with interval CRC had detectable f-Hb, Ms. van Stigt said, meaning that nearly half of patients who were diagnosed with interval CRC already had detectable f-Hb in their prior FIT.
In a survival analysis, there was no association between interval CRC risk and sex. However, those who participated in three or four screening rounds were half as likely to be diagnosed than those who participated once or twice, and those with detectable f-Hb were five times as likely to be diagnosed.
For late-stage CRC, there was no association with sex or the number of screening rounds. Detectable f-Hb was associated with not only a higher risk of interval CRC but also a late-stage diagnosis.
“These findings indicate that one uniform age to stop screening is suboptimal,” Ms. van Stigt said. “Personalized screening strategies should, therefore, also ideally incorporate a risk-stratified age to stop screening.”
The US Preventive Services Task Force recommends that clinicians personalize screening for ages 76-85, accounting for overall health, prior screening history, and patient preferences.
“But we have no clear guidance on how to quantify or weigh these factors. This interesting study highlights how one of these factors (prior screening history) and fecal hemoglobin level (an emerging factor) are powerful stratifiers of subsequent colorectal cancer risk,” said Sameer D. Saini, MD, AGAF, director and research investigator at the VA Ann Arbor Healthcare System’s Center for Clinical Management Research. Dr. Saini wasn’t involved with the study.
At the clinical level, Dr. Saini said, sophisticated modeling is needed to understand the interaction with competing risks and identify the optimal screening strategies for patients at varying levels of cancer risk and life expectancy. Models could also help to quantify the population benefits and cost-effectiveness of personalized screening.
“Finally, it is important to note that, in many health systems, access to quantitative FIT may be limited,” he said. “These data may be less informative if colonoscopy is the primary mode of screening.”
Ms. van Stigt and Dr. Saini reported no relevant disclosures.
FROM DDW 2024
Does Extended Postop Follow-Up Improve Survival in Gastric Cancer?
TOPLINE:
METHODOLOGY:
- Currently, postgastrectomy cancer surveillance typically lasts 5 years, although some centers now monitor patients beyond this point.
- To investigate the potential benefit of extended surveillance, researchers used Korean National Health Insurance claims data to identify 40,468 patients with gastric cancer who were disease free 5 years after gastrectomy — 14,294 received extended regular follow-up visits and 26,174 did not.
- The extended regular follow-up group was defined as having endoscopy or abdominopelvic CT between 2 months and 2 years before diagnosis of late recurrence or gastric remnant cancer and having two or more examinations between 5.5 and 8.5 years after gastrectomy. Late recurrence was a recurrence diagnosed 5 years after gastrectomy.
- Researchers used Cox proportional hazards regression to evaluate the independent association between follow-up and overall and postrecurrence survival rates.
TAKEAWAY:
- Overall, 5 years postgastrectomy, the incidence of late recurrence or gastric remnant cancer was 7.8% — 4.0% between 5 and 10 years (1610 of 40,468 patients) and 9.4% after 10 years (1528 of 16,287 patients).
- Regular follow-up beyond 5 years was associated with a significant reduction in overall mortality — from 49.4% to 36.9% at 15 years (P < .001). Overall survival after late recurrence or gastric remnant cancer also improved significantly with extended regular follow-up, with the 5-year postrecurrence survival rate increasing from 32.7% to 71.1% (P < .001).
- The combination of endoscopy and abdominopelvic CT provided the highest 5-year postrecurrence survival rate (74.5%), compared with endoscopy alone (54.5%) or CT alone (47.1%).
- A time interval of more than 2 years between a previous endoscopy or abdominopelvic CT and diagnosis of late recurrence or gastric remnant cancer significantly decreased postrecurrence survival (hazard ratio [HR], 1.72 for endoscopy and HR, 1.48 for abdominopelvic CT).
IN PRACTICE:
“These findings suggest that extended regular follow-up after 5 years post gastrectomy should be implemented clinically and that current practice and value of follow-up protocols in postoperative care of patients with gastric cancer be reconsidered,” the authors concluded.
The authors of an accompanying commentary cautioned that, while the study “successfully establishes groundwork for extending surveillance of gastric cancer in high-risk populations, more work is needed to strategically identify those who would benefit most from extended surveillance.”
SOURCE:
The study, with first author Ju-Hee Lee, MD, PhD, Department of Surgery, Hanyang University College of Medicine, Seoul, South Korea, and accompanying commentary were published online on June 18 in JAMA Surgery.
LIMITATIONS:
Recurrent cancer and gastric remnant cancer could not be distinguished from each other because clinical records were not analyzed. The claims database lacked detailed clinical information on individual patients, including cancer stages, and a separate analysis of tumor markers could not be performed.
DISCLOSURES:
The study was funded by a grant from the Korean Gastric Cancer Association. The study authors and commentary authors reported no conflicts of interest.
A version of this article appeared on Medscape.com.
TOPLINE:
METHODOLOGY:
- Currently, postgastrectomy cancer surveillance typically lasts 5 years, although some centers now monitor patients beyond this point.
- To investigate the potential benefit of extended surveillance, researchers used Korean National Health Insurance claims data to identify 40,468 patients with gastric cancer who were disease free 5 years after gastrectomy — 14,294 received extended regular follow-up visits and 26,174 did not.
- The extended regular follow-up group was defined as having endoscopy or abdominopelvic CT between 2 months and 2 years before diagnosis of late recurrence or gastric remnant cancer and having two or more examinations between 5.5 and 8.5 years after gastrectomy. Late recurrence was a recurrence diagnosed 5 years after gastrectomy.
- Researchers used Cox proportional hazards regression to evaluate the independent association between follow-up and overall and postrecurrence survival rates.
TAKEAWAY:
- Overall, 5 years postgastrectomy, the incidence of late recurrence or gastric remnant cancer was 7.8% — 4.0% between 5 and 10 years (1610 of 40,468 patients) and 9.4% after 10 years (1528 of 16,287 patients).
- Regular follow-up beyond 5 years was associated with a significant reduction in overall mortality — from 49.4% to 36.9% at 15 years (P < .001). Overall survival after late recurrence or gastric remnant cancer also improved significantly with extended regular follow-up, with the 5-year postrecurrence survival rate increasing from 32.7% to 71.1% (P < .001).
- The combination of endoscopy and abdominopelvic CT provided the highest 5-year postrecurrence survival rate (74.5%), compared with endoscopy alone (54.5%) or CT alone (47.1%).
- A time interval of more than 2 years between a previous endoscopy or abdominopelvic CT and diagnosis of late recurrence or gastric remnant cancer significantly decreased postrecurrence survival (hazard ratio [HR], 1.72 for endoscopy and HR, 1.48 for abdominopelvic CT).
IN PRACTICE:
“These findings suggest that extended regular follow-up after 5 years post gastrectomy should be implemented clinically and that current practice and value of follow-up protocols in postoperative care of patients with gastric cancer be reconsidered,” the authors concluded.
The authors of an accompanying commentary cautioned that, while the study “successfully establishes groundwork for extending surveillance of gastric cancer in high-risk populations, more work is needed to strategically identify those who would benefit most from extended surveillance.”
SOURCE:
The study, with first author Ju-Hee Lee, MD, PhD, Department of Surgery, Hanyang University College of Medicine, Seoul, South Korea, and accompanying commentary were published online on June 18 in JAMA Surgery.
LIMITATIONS:
Recurrent cancer and gastric remnant cancer could not be distinguished from each other because clinical records were not analyzed. The claims database lacked detailed clinical information on individual patients, including cancer stages, and a separate analysis of tumor markers could not be performed.
DISCLOSURES:
The study was funded by a grant from the Korean Gastric Cancer Association. The study authors and commentary authors reported no conflicts of interest.
A version of this article appeared on Medscape.com.
TOPLINE:
METHODOLOGY:
- Currently, postgastrectomy cancer surveillance typically lasts 5 years, although some centers now monitor patients beyond this point.
- To investigate the potential benefit of extended surveillance, researchers used Korean National Health Insurance claims data to identify 40,468 patients with gastric cancer who were disease free 5 years after gastrectomy — 14,294 received extended regular follow-up visits and 26,174 did not.
- The extended regular follow-up group was defined as having endoscopy or abdominopelvic CT between 2 months and 2 years before diagnosis of late recurrence or gastric remnant cancer and having two or more examinations between 5.5 and 8.5 years after gastrectomy. Late recurrence was a recurrence diagnosed 5 years after gastrectomy.
- Researchers used Cox proportional hazards regression to evaluate the independent association between follow-up and overall and postrecurrence survival rates.
TAKEAWAY:
- Overall, 5 years postgastrectomy, the incidence of late recurrence or gastric remnant cancer was 7.8% — 4.0% between 5 and 10 years (1610 of 40,468 patients) and 9.4% after 10 years (1528 of 16,287 patients).
- Regular follow-up beyond 5 years was associated with a significant reduction in overall mortality — from 49.4% to 36.9% at 15 years (P < .001). Overall survival after late recurrence or gastric remnant cancer also improved significantly with extended regular follow-up, with the 5-year postrecurrence survival rate increasing from 32.7% to 71.1% (P < .001).
- The combination of endoscopy and abdominopelvic CT provided the highest 5-year postrecurrence survival rate (74.5%), compared with endoscopy alone (54.5%) or CT alone (47.1%).
- A time interval of more than 2 years between a previous endoscopy or abdominopelvic CT and diagnosis of late recurrence or gastric remnant cancer significantly decreased postrecurrence survival (hazard ratio [HR], 1.72 for endoscopy and HR, 1.48 for abdominopelvic CT).
IN PRACTICE:
“These findings suggest that extended regular follow-up after 5 years post gastrectomy should be implemented clinically and that current practice and value of follow-up protocols in postoperative care of patients with gastric cancer be reconsidered,” the authors concluded.
The authors of an accompanying commentary cautioned that, while the study “successfully establishes groundwork for extending surveillance of gastric cancer in high-risk populations, more work is needed to strategically identify those who would benefit most from extended surveillance.”
SOURCE:
The study, with first author Ju-Hee Lee, MD, PhD, Department of Surgery, Hanyang University College of Medicine, Seoul, South Korea, and accompanying commentary were published online on June 18 in JAMA Surgery.
LIMITATIONS:
Recurrent cancer and gastric remnant cancer could not be distinguished from each other because clinical records were not analyzed. The claims database lacked detailed clinical information on individual patients, including cancer stages, and a separate analysis of tumor markers could not be performed.
DISCLOSURES:
The study was funded by a grant from the Korean Gastric Cancer Association. The study authors and commentary authors reported no conflicts of interest.
A version of this article appeared on Medscape.com.