Breast Cancer ICYMI

Treatment options for patients with cancer that is detected at a late stage are severely limited, which usually leads to an unfavorable prognosis for such patients. Indeed, the options available for patients with metastatic solid cancers are scarcely curative. Therefore, early diagnosis of neoplasia remains a fundamental mainstay for improving outcomes for cancer patients.

Histopathology is the current gold standard for cancer diagnosis. Biopsy is an invasive procedure that provides physicians with further samples to test but that furnishes limited information concerning tumor heterogeneity. Biopsy specimens are usually obtained only when there is clinical evidence of neoplasia, which significantly limits their usefulness in early diagnosis.

Around 20 years ago, it was discovered that the presence of circulating tumor cells (CTC) in patients with metastatic breast cancer who were about to begin a new line of treatment was predictive of overall and progression-free survival. The prognostic value of CTC was independent of the line of treatment (first or second) and was greater than that of the site of metastasis, the type of therapy, and the time to metastasis after complete primary resection. These results support the idea that the presence of CTC could be used to modify the system for staging advanced disease.

Since then, research into liquid biopsy assays has expanded rapidly, and many biomarkers have been studied in various body fluids for their usefulness in assessing solid tumors.
 

Liquid vs. tissue

Liquid biopsy is a minimally invasive tool that is easy to use. It is employed to detect cancer, to assess treatment response, or to monitor disease progression. Liquid biopsy produces test material from primary and metastatic (or micrometastatic) sites and provides a more heterogeneous picture of the entire tumor cell population, compared with specimens obtained with tissue biopsy.

Metastasis

The notion that metastatic lesions are formed from cancer cells that have disseminated from advanced primary tumors has been substantially revised following the identification of disseminated tumor cells (DTC) in the bone marrow of patients with early-stage disease. These results have led researchers to no longer view cancer metastasis as a linear cascade of events but rather as a series of concurrent, partially overlapping processes, as metastasizing cells assume new phenotypes while abandoning older behaviors.

The initiation of metastasis is not simply a cell-autonomous event but is heavily influenced by complex tissue microenvironments. Although colonization of distant tissues by DTC is an extremely inefficient process, at times, relatively numerous CTC can be detected in the blood of cancer patients (> 1,000 CTC/mL of blood plasma), whereas the number of clinically detectable metastases is disproportionately low, confirming that tumor cell diffusion can happen at an early stage but usually occurs later on.
 

Early dissemination

Little is currently known about the preference of cancer subtypes for distinct tissues or about the receptiveness of a tissue as a metastatic site. What endures as one of the most confounding clinical phenomena is that patients may undergo tumor resection and remain apparently disease free for months, years, and even decades, only to experience relapse and be diagnosed with late-stage metastatic disease. This course may be a result of cell seeding from minimal residual disease after resection of the primary tumor or of preexisting clinically undetectable micrometastases. It may also arise from early disseminated cells that remain dormant and resistant to therapy until they suddenly reawaken to initiate proliferation into clinically detectable macrometastases.

Dormant DTC could be the main reason for delayed detection of metastases. It is thought that around 40% of patients with prostate cancer who undergo radical prostatectomy present with biochemical recurrence, suggesting that it is likely that hidden DTC or micrometastases are present at the time of the procedure. The finding is consistent with the detection of DTC many years after tumor resection, suggesting they were released before surgical treatment. Nevertheless, research into tumor cell dormancy is limited, owing to the invasive and technically challenging nature of obtaining DTC samples, which are predominantly taken from the bone marrow.
 

CTC metastases

Cancer cells can undergo epithelial-to-mesenchymal transition to facilitate their detachment from the primary tumor and intravasation into the blood circulation (step 1). Dissemination of cancer cells from the primary tumor into circulation can involve either single cells or cell clusters containing multiple CTC as well as immune cells and platelets, known as microemboli. CTC that can survive in circulation (step 2) can exit the bloodstream (step 3) and establish metastatic tumors (step 4), or they can enter dormancy and reside in distant organs, such as the bone marrow.

Use in practice

CTC were discovered over a century ago, but only in recent years has technology been sufficiently advanced to study CTC and to assess their usefulness as biomarkers. Recent evidence suggests that not only do the number of CTC increase during sleep and rest phases but also that these CTC are better able to metastasize, compared to those generated during periods of wakefulness or activity.

CTC clusters (microemboli) are defined as groups of two or more CTC. They can consist of CTC alone (homotypic) or can include various stromal cells, such as cancer-associated fibroblasts or platelets and immune cells (heterotypic). CTC clusters (with or without leukocytes) seem to have greater metastatic capacity, compared with individual CTC.

A multitude of characteristics can be measured in CTC, including genetics and epigenetics, as well as protein levels, which might help in understanding many processes involved in the formation of metastases.

Quantitative assessment of CTC could indicate tumor burden in patients with aggressive cancers, as has been seen in patients with primary lung cancer.
 

Early cancer diagnosis

Early research into CTC didn’t explore their usefulness in diagnosing early-stage tumors because it was thought that CTC were characteristic of advanced-stage disease. This hypothesis was later rejected following evidence of local intravascular invasion of very early cancer cells, even over a period of several hours. This feature may allow CTC to be detected before the clinical diagnosis of cancer.

CTC have been detected in various neoplastic conditions: in breast cancer, seen in 20% of patients with stage I disease, in 26.8% with stage II disease, and 26.7% with stage III disease; in nonmetastatic colorectal cancer, including stage I and II disease; and in prostate cancer, seen in over 50% of patients with localized disease.

The presence of CTC has been proven to be an unfavorable prognostic predictor of overall survival among patients with early-stage non–small cell lung cancer. It distinguishes patients with pancreatic ductal adenocarcinoma from those with noncancerous pancreatic diseases with a sensitivity of 75% and a specificity of 96.3%.

CTC positivity scoring (appropriately defined), combined with serum prostate-specific antigen level, was predictive of a biopsy diagnosis of clinically significant prostate cancer.

All these data support the utility of CTC in early cancer diagnosis. Their link with metastases, and thus with aggressive tumors, gives them an advantage over other (noninvasive or minimally invasive) biomarkers in the early identification of invasive tumors for therapeutic intervention with better cure rates.
 

This article was translated from Univadis Italy. A version appeared on Medscape.com.

Treatment options for patients with cancer that is detected at a late stage are severely limited, which usually leads to an unfavorable prognosis for such patients. Indeed, the options available for patients with metastatic solid cancers are scarcely curative. Therefore, early diagnosis of neoplasia remains a fundamental mainstay for improving outcomes for cancer patients.

Histopathology is the current gold standard for cancer diagnosis. Biopsy is an invasive procedure that provides physicians with further samples to test but that furnishes limited information concerning tumor heterogeneity. Biopsy specimens are usually obtained only when there is clinical evidence of neoplasia, which significantly limits their usefulness in early diagnosis.

Around 20 years ago, it was discovered that the presence of circulating tumor cells (CTC) in patients with metastatic breast cancer who were about to begin a new line of treatment was predictive of overall and progression-free survival. The prognostic value of CTC was independent of the line of treatment (first or second) and was greater than that of the site of metastasis, the type of therapy, and the time to metastasis after complete primary resection. These results support the idea that the presence of CTC could be used to modify the system for staging advanced disease.

Since then, research into liquid biopsy assays has expanded rapidly, and many biomarkers have been studied in various body fluids for their usefulness in assessing solid tumors.
 

Liquid vs. tissue

Liquid biopsy is a minimally invasive tool that is easy to use. It is employed to detect cancer, to assess treatment response, or to monitor disease progression. Liquid biopsy produces test material from primary and metastatic (or micrometastatic) sites and provides a more heterogeneous picture of the entire tumor cell population, compared with specimens obtained with tissue biopsy.

Metastasis

The notion that metastatic lesions are formed from cancer cells that have disseminated from advanced primary tumors has been substantially revised following the identification of disseminated tumor cells (DTC) in the bone marrow of patients with early-stage disease. These results have led researchers to no longer view cancer metastasis as a linear cascade of events but rather as a series of concurrent, partially overlapping processes, as metastasizing cells assume new phenotypes while abandoning older behaviors.

The initiation of metastasis is not simply a cell-autonomous event but is heavily influenced by complex tissue microenvironments. Although colonization of distant tissues by DTC is an extremely inefficient process, at times, relatively numerous CTC can be detected in the blood of cancer patients (> 1,000 CTC/mL of blood plasma), whereas the number of clinically detectable metastases is disproportionately low, confirming that tumor cell diffusion can happen at an early stage but usually occurs later on.
 

Early dissemination

Little is currently known about the preference of cancer subtypes for distinct tissues or about the receptiveness of a tissue as a metastatic site. What endures as one of the most confounding clinical phenomena is that patients may undergo tumor resection and remain apparently disease free for months, years, and even decades, only to experience relapse and be diagnosed with late-stage metastatic disease. This course may be a result of cell seeding from minimal residual disease after resection of the primary tumor or of preexisting clinically undetectable micrometastases. It may also arise from early disseminated cells that remain dormant and resistant to therapy until they suddenly reawaken to initiate proliferation into clinically detectable macrometastases.

Dormant DTC could be the main reason for delayed detection of metastases. It is thought that around 40% of patients with prostate cancer who undergo radical prostatectomy present with biochemical recurrence, suggesting that it is likely that hidden DTC or micrometastases are present at the time of the procedure. The finding is consistent with the detection of DTC many years after tumor resection, suggesting they were released before surgical treatment. Nevertheless, research into tumor cell dormancy is limited, owing to the invasive and technically challenging nature of obtaining DTC samples, which are predominantly taken from the bone marrow.
 

CTC metastases

Cancer cells can undergo epithelial-to-mesenchymal transition to facilitate their detachment from the primary tumor and intravasation into the blood circulation (step 1). Dissemination of cancer cells from the primary tumor into circulation can involve either single cells or cell clusters containing multiple CTC as well as immune cells and platelets, known as microemboli. CTC that can survive in circulation (step 2) can exit the bloodstream (step 3) and establish metastatic tumors (step 4), or they can enter dormancy and reside in distant organs, such as the bone marrow.

Use in practice

CTC were discovered over a century ago, but only in recent years has technology been sufficiently advanced to study CTC and to assess their usefulness as biomarkers. Recent evidence suggests that not only do the number of CTC increase during sleep and rest phases but also that these CTC are better able to metastasize, compared to those generated during periods of wakefulness or activity.

CTC clusters (microemboli) are defined as groups of two or more CTC. They can consist of CTC alone (homotypic) or can include various stromal cells, such as cancer-associated fibroblasts or platelets and immune cells (heterotypic). CTC clusters (with or without leukocytes) seem to have greater metastatic capacity, compared with individual CTC.

A multitude of characteristics can be measured in CTC, including genetics and epigenetics, as well as protein levels, which might help in understanding many processes involved in the formation of metastases.

Quantitative assessment of CTC could indicate tumor burden in patients with aggressive cancers, as has been seen in patients with primary lung cancer.
 

Early cancer diagnosis

Early research into CTC didn’t explore their usefulness in diagnosing early-stage tumors because it was thought that CTC were characteristic of advanced-stage disease. This hypothesis was later rejected following evidence of local intravascular invasion of very early cancer cells, even over a period of several hours. This feature may allow CTC to be detected before the clinical diagnosis of cancer.

CTC have been detected in various neoplastic conditions: in breast cancer, seen in 20% of patients with stage I disease, in 26.8% with stage II disease, and 26.7% with stage III disease; in nonmetastatic colorectal cancer, including stage I and II disease; and in prostate cancer, seen in over 50% of patients with localized disease.

The presence of CTC has been proven to be an unfavorable prognostic predictor of overall survival among patients with early-stage non–small cell lung cancer. It distinguishes patients with pancreatic ductal adenocarcinoma from those with noncancerous pancreatic diseases with a sensitivity of 75% and a specificity of 96.3%.

CTC positivity scoring (appropriately defined), combined with serum prostate-specific antigen level, was predictive of a biopsy diagnosis of clinically significant prostate cancer.

All these data support the utility of CTC in early cancer diagnosis. Their link with metastases, and thus with aggressive tumors, gives them an advantage over other (noninvasive or minimally invasive) biomarkers in the early identification of invasive tumors for therapeutic intervention with better cure rates.
 

This article was translated from Univadis Italy. A version appeared on Medscape.com.

Treatment options for patients with cancer that is detected at a late stage are severely limited, which usually leads to an unfavorable prognosis for such patients. Indeed, the options available for patients with metastatic solid cancers are scarcely curative. Therefore, early diagnosis of neoplasia remains a fundamental mainstay for improving outcomes for cancer patients.

Histopathology is the current gold standard for cancer diagnosis. Biopsy is an invasive procedure that provides physicians with further samples to test but that furnishes limited information concerning tumor heterogeneity. Biopsy specimens are usually obtained only when there is clinical evidence of neoplasia, which significantly limits their usefulness in early diagnosis.

Around 20 years ago, it was discovered that the presence of circulating tumor cells (CTC) in patients with metastatic breast cancer who were about to begin a new line of treatment was predictive of overall and progression-free survival. The prognostic value of CTC was independent of the line of treatment (first or second) and was greater than that of the site of metastasis, the type of therapy, and the time to metastasis after complete primary resection. These results support the idea that the presence of CTC could be used to modify the system for staging advanced disease.

Since then, research into liquid biopsy assays has expanded rapidly, and many biomarkers have been studied in various body fluids for their usefulness in assessing solid tumors.
 

Liquid vs. tissue

Liquid biopsy is a minimally invasive tool that is easy to use. It is employed to detect cancer, to assess treatment response, or to monitor disease progression. Liquid biopsy produces test material from primary and metastatic (or micrometastatic) sites and provides a more heterogeneous picture of the entire tumor cell population, compared with specimens obtained with tissue biopsy.

Metastasis

The notion that metastatic lesions are formed from cancer cells that have disseminated from advanced primary tumors has been substantially revised following the identification of disseminated tumor cells (DTC) in the bone marrow of patients with early-stage disease. These results have led researchers to no longer view cancer metastasis as a linear cascade of events but rather as a series of concurrent, partially overlapping processes, as metastasizing cells assume new phenotypes while abandoning older behaviors.

The initiation of metastasis is not simply a cell-autonomous event but is heavily influenced by complex tissue microenvironments. Although colonization of distant tissues by DTC is an extremely inefficient process, at times, relatively numerous CTC can be detected in the blood of cancer patients (> 1,000 CTC/mL of blood plasma), whereas the number of clinically detectable metastases is disproportionately low, confirming that tumor cell diffusion can happen at an early stage but usually occurs later on.
 

Early dissemination

Little is currently known about the preference of cancer subtypes for distinct tissues or about the receptiveness of a tissue as a metastatic site. What endures as one of the most confounding clinical phenomena is that patients may undergo tumor resection and remain apparently disease free for months, years, and even decades, only to experience relapse and be diagnosed with late-stage metastatic disease. This course may be a result of cell seeding from minimal residual disease after resection of the primary tumor or of preexisting clinically undetectable micrometastases. It may also arise from early disseminated cells that remain dormant and resistant to therapy until they suddenly reawaken to initiate proliferation into clinically detectable macrometastases.

Dormant DTC could be the main reason for delayed detection of metastases. It is thought that around 40% of patients with prostate cancer who undergo radical prostatectomy present with biochemical recurrence, suggesting that it is likely that hidden DTC or micrometastases are present at the time of the procedure. The finding is consistent with the detection of DTC many years after tumor resection, suggesting they were released before surgical treatment. Nevertheless, research into tumor cell dormancy is limited, owing to the invasive and technically challenging nature of obtaining DTC samples, which are predominantly taken from the bone marrow.
 

CTC metastases

Cancer cells can undergo epithelial-to-mesenchymal transition to facilitate their detachment from the primary tumor and intravasation into the blood circulation (step 1). Dissemination of cancer cells from the primary tumor into circulation can involve either single cells or cell clusters containing multiple CTC as well as immune cells and platelets, known as microemboli. CTC that can survive in circulation (step 2) can exit the bloodstream (step 3) and establish metastatic tumors (step 4), or they can enter dormancy and reside in distant organs, such as the bone marrow.

Use in practice

CTC were discovered over a century ago, but only in recent years has technology been sufficiently advanced to study CTC and to assess their usefulness as biomarkers. Recent evidence suggests that not only do the number of CTC increase during sleep and rest phases but also that these CTC are better able to metastasize, compared to those generated during periods of wakefulness or activity.

CTC clusters (microemboli) are defined as groups of two or more CTC. They can consist of CTC alone (homotypic) or can include various stromal cells, such as cancer-associated fibroblasts or platelets and immune cells (heterotypic). CTC clusters (with or without leukocytes) seem to have greater metastatic capacity, compared with individual CTC.

A multitude of characteristics can be measured in CTC, including genetics and epigenetics, as well as protein levels, which might help in understanding many processes involved in the formation of metastases.

Quantitative assessment of CTC could indicate tumor burden in patients with aggressive cancers, as has been seen in patients with primary lung cancer.
 

Early cancer diagnosis

Early research into CTC didn’t explore their usefulness in diagnosing early-stage tumors because it was thought that CTC were characteristic of advanced-stage disease. This hypothesis was later rejected following evidence of local intravascular invasion of very early cancer cells, even over a period of several hours. This feature may allow CTC to be detected before the clinical diagnosis of cancer.

CTC have been detected in various neoplastic conditions: in breast cancer, seen in 20% of patients with stage I disease, in 26.8% with stage II disease, and 26.7% with stage III disease; in nonmetastatic colorectal cancer, including stage I and II disease; and in prostate cancer, seen in over 50% of patients with localized disease.

The presence of CTC has been proven to be an unfavorable prognostic predictor of overall survival among patients with early-stage non–small cell lung cancer. It distinguishes patients with pancreatic ductal adenocarcinoma from those with noncancerous pancreatic diseases with a sensitivity of 75% and a specificity of 96.3%.

CTC positivity scoring (appropriately defined), combined with serum prostate-specific antigen level, was predictive of a biopsy diagnosis of clinically significant prostate cancer.

All these data support the utility of CTC in early cancer diagnosis. Their link with metastases, and thus with aggressive tumors, gives them an advantage over other (noninvasive or minimally invasive) biomarkers in the early identification of invasive tumors for therapeutic intervention with better cure rates.
 

This article was translated from Univadis Italy. A version appeared on Medscape.com.

Artificial intelligence (AI)–supported breast cancer screening appears safe and at least as accurate as standard double reading of mammograms by two breast radiologists, according to early results from a large, randomized, population-based cohort study.

The AI-supported screening also reduced radiologist workload by nearly 44%, researchers estimated.

The trial also found a 20% increase in cancer detection using AI support compared with routine double mammography reading, underscoring AI’s potential to improve screening accuracy and efficiency.

The findings, published online in Lancet Oncology, come from a planned interim safety analysis of the Swedish Mammography Screening with Artificial Intelligence (MASAI) trial.

To date, AI has shown promise in mammography screening, with retrospective evidence demonstrating similar accuracy, compared with standard double readings as well as reduced workload for radiologists. Still, randomized trials assessing the efficacy of AI-supported breast screening are needed.

The aim of the current interim randomized analysis was to assess early screening performance, which included cancer detection, recall, and false positive rates as well as cancer type detected and workload.

The MASAI trial randomized 80,033 women, with a median age of 54, to AI-supported screening (n = 40,003) or double reading without AI (n = 40,030).

The AI system provided malignancy risk scores from 1 to 10, with low-risk scores ranging from 1 to 7, intermediate risk from 8 to 9, and high risk at 10. These risk scores were used to triage screening exams to a single radiologist reading (score of 1-9) or double reading (score of 10), given that cancer prevalence “increases sharply” for those with a risk score of 10, the researchers explained. The AI system also provided computer-aided detection marks for exams with risk scores of 8-10 to radiologists.

Among nearly 40,000 women screened with AI support, 244 cancers were detected, including 184 invasive cancers (75%) and 60 in situ cancers (25%), and resulted in 861 recalls. Among 40,024 participants receiving standard screening, radiologists detected 203 cancers, including 165 invasive cancers (81%) and 38 in situ cancers (19%), and resulted in 817 recalls.

Overall, the detection rate using AI support versus standard screening was 6.1 per 1000 screened participants versus 5.1 per 1,000. The recall rates were 2.2% versus 2.0%, respectively.

The false positive rates were the same in both groups (1.5%) while the positive predictive value (PPV) of recall – how likely a recall of a participant ultimately led to a cancer diagnosis – was higher in the AI group: 28.3% versus 24.8%.

The cancer detection rate in the high-risk group – patients with a risk score of 10 – was 72.3 per 1000 participants screened, or one cancer per 14 screening exams. And, overall, 189 of 490 screening exams flagged as extra-high risk by AI (the highest 1% risk) were recalled. Of the 189 recalled participants, 136 had cancer, representing a PPV of recall of 72%.

Overall, “we found that the benefit of AI-supported screening in terms of screen-reading workload reduction was considerable,” the authors said.

Assuming a radiologist can read 50 mammograms an hour, the researchers estimated that a radiologist would take 4.6 fewer months to read more than 46,000 screening exams in the intervention group compared with more than 83,000 in the control group.

Although these early safety results are “promising,” the findings “are not enough on their own to confirm that AI is ready to be implemented in mammography screening,” lead author Kristina Lång, PhD, of Lund (Sweden) University, said in a press release.

“We still need to understand the implications on patients’ outcomes, especially whether combining radiologists’ expertise with AI can help detect interval cancers that are often missed by traditional screening, as well as the cost-effectiveness of the technology,” she said, adding that “the greatest potential of AI right now is that it could allow radiologists to be less burdened by the excessive amount of reading.”

In an accompanying editorial, Nereo Segnan, MD, and Antonio Ponti, MD, both of CPO Piemonte in Torino, Italy, said that the AI risk score for breast cancer in the trial “seems very accurate at being able to separate high-risk from low-risk women.”

However, the potential for overdiagnosis or overdetection of indolent lesions in the intervention group should “prompt caution in the interpretation of results that otherwise seem straightforward in favoring the use of AI,” the editorialists noted.

The authors agreed that increased detection of in situ cancers with AI-supported screening compared with standard screening – 25% versus 19% – “could be concerning in terms of overdiagnosis,” as the risk of overtreatment is more likely with these low-grade cancers.

In the final analysis, Dr. Lång and colleagues plan to characterize the biological features of detected lesions to provide further insight on AI-supported screening, including the risk for overdiagnosis.

In a statement to the U.K.-based Science Media Centre, Stephen Duffy, professor of cancer screening, Wolfson Institute of Population Health, Queen Mary University of London, commented that the “results illustrate the potential for artificial intelligence to reduce the burden on radiologists’ time,” which is “an issue of considerable importance in many breast screening programs.”

The MASAI study was funded by the Swedish Cancer Society, Confederation of Regional Cancer Centres, and government funding for clinical research. Dr. Lång has been an advisory board member for Siemens Healthineers and has received lecture honorarium from AstraZeneca. Dr. Segnan and Dr. Hall reported no relevant financial relationships.

A version of this article first appeared on Medscape.com.

Artificial intelligence (AI)–supported breast cancer screening appears safe and at least as accurate as standard double reading of mammograms by two breast radiologists, according to early results from a large, randomized, population-based cohort study.

The AI-supported screening also reduced radiologist workload by nearly 44%, researchers estimated.

The trial also found a 20% increase in cancer detection using AI support compared with routine double mammography reading, underscoring AI’s potential to improve screening accuracy and efficiency.

The findings, published online in Lancet Oncology, come from a planned interim safety analysis of the Swedish Mammography Screening with Artificial Intelligence (MASAI) trial.

To date, AI has shown promise in mammography screening, with retrospective evidence demonstrating similar accuracy, compared with standard double readings as well as reduced workload for radiologists. Still, randomized trials assessing the efficacy of AI-supported breast screening are needed.

The aim of the current interim randomized analysis was to assess early screening performance, which included cancer detection, recall, and false positive rates as well as cancer type detected and workload.

The MASAI trial randomized 80,033 women, with a median age of 54, to AI-supported screening (n = 40,003) or double reading without AI (n = 40,030).

The AI system provided malignancy risk scores from 1 to 10, with low-risk scores ranging from 1 to 7, intermediate risk from 8 to 9, and high risk at 10. These risk scores were used to triage screening exams to a single radiologist reading (score of 1-9) or double reading (score of 10), given that cancer prevalence “increases sharply” for those with a risk score of 10, the researchers explained. The AI system also provided computer-aided detection marks for exams with risk scores of 8-10 to radiologists.

Among nearly 40,000 women screened with AI support, 244 cancers were detected, including 184 invasive cancers (75%) and 60 in situ cancers (25%), and resulted in 861 recalls. Among 40,024 participants receiving standard screening, radiologists detected 203 cancers, including 165 invasive cancers (81%) and 38 in situ cancers (19%), and resulted in 817 recalls.

Overall, the detection rate using AI support versus standard screening was 6.1 per 1000 screened participants versus 5.1 per 1,000. The recall rates were 2.2% versus 2.0%, respectively.

The false positive rates were the same in both groups (1.5%) while the positive predictive value (PPV) of recall – how likely a recall of a participant ultimately led to a cancer diagnosis – was higher in the AI group: 28.3% versus 24.8%.

The cancer detection rate in the high-risk group – patients with a risk score of 10 – was 72.3 per 1000 participants screened, or one cancer per 14 screening exams. And, overall, 189 of 490 screening exams flagged as extra-high risk by AI (the highest 1% risk) were recalled. Of the 189 recalled participants, 136 had cancer, representing a PPV of recall of 72%.

Overall, “we found that the benefit of AI-supported screening in terms of screen-reading workload reduction was considerable,” the authors said.

Assuming a radiologist can read 50 mammograms an hour, the researchers estimated that a radiologist would take 4.6 fewer months to read more than 46,000 screening exams in the intervention group compared with more than 83,000 in the control group.

Although these early safety results are “promising,” the findings “are not enough on their own to confirm that AI is ready to be implemented in mammography screening,” lead author Kristina Lång, PhD, of Lund (Sweden) University, said in a press release.

“We still need to understand the implications on patients’ outcomes, especially whether combining radiologists’ expertise with AI can help detect interval cancers that are often missed by traditional screening, as well as the cost-effectiveness of the technology,” she said, adding that “the greatest potential of AI right now is that it could allow radiologists to be less burdened by the excessive amount of reading.”

In an accompanying editorial, Nereo Segnan, MD, and Antonio Ponti, MD, both of CPO Piemonte in Torino, Italy, said that the AI risk score for breast cancer in the trial “seems very accurate at being able to separate high-risk from low-risk women.”

However, the potential for overdiagnosis or overdetection of indolent lesions in the intervention group should “prompt caution in the interpretation of results that otherwise seem straightforward in favoring the use of AI,” the editorialists noted.

The authors agreed that increased detection of in situ cancers with AI-supported screening compared with standard screening – 25% versus 19% – “could be concerning in terms of overdiagnosis,” as the risk of overtreatment is more likely with these low-grade cancers.

In the final analysis, Dr. Lång and colleagues plan to characterize the biological features of detected lesions to provide further insight on AI-supported screening, including the risk for overdiagnosis.

In a statement to the U.K.-based Science Media Centre, Stephen Duffy, professor of cancer screening, Wolfson Institute of Population Health, Queen Mary University of London, commented that the “results illustrate the potential for artificial intelligence to reduce the burden on radiologists’ time,” which is “an issue of considerable importance in many breast screening programs.”

The MASAI study was funded by the Swedish Cancer Society, Confederation of Regional Cancer Centres, and government funding for clinical research. Dr. Lång has been an advisory board member for Siemens Healthineers and has received lecture honorarium from AstraZeneca. Dr. Segnan and Dr. Hall reported no relevant financial relationships.

A version of this article first appeared on Medscape.com.

Artificial intelligence (AI)–supported breast cancer screening appears safe and at least as accurate as standard double reading of mammograms by two breast radiologists, according to early results from a large, randomized, population-based cohort study.

The AI-supported screening also reduced radiologist workload by nearly 44%, researchers estimated.

The trial also found a 20% increase in cancer detection using AI support compared with routine double mammography reading, underscoring AI’s potential to improve screening accuracy and efficiency.

The findings, published online in Lancet Oncology, come from a planned interim safety analysis of the Swedish Mammography Screening with Artificial Intelligence (MASAI) trial.

To date, AI has shown promise in mammography screening, with retrospective evidence demonstrating similar accuracy, compared with standard double readings as well as reduced workload for radiologists. Still, randomized trials assessing the efficacy of AI-supported breast screening are needed.

The aim of the current interim randomized analysis was to assess early screening performance, which included cancer detection, recall, and false positive rates as well as cancer type detected and workload.

The MASAI trial randomized 80,033 women, with a median age of 54, to AI-supported screening (n = 40,003) or double reading without AI (n = 40,030).

The AI system provided malignancy risk scores from 1 to 10, with low-risk scores ranging from 1 to 7, intermediate risk from 8 to 9, and high risk at 10. These risk scores were used to triage screening exams to a single radiologist reading (score of 1-9) or double reading (score of 10), given that cancer prevalence “increases sharply” for those with a risk score of 10, the researchers explained. The AI system also provided computer-aided detection marks for exams with risk scores of 8-10 to radiologists.

Among nearly 40,000 women screened with AI support, 244 cancers were detected, including 184 invasive cancers (75%) and 60 in situ cancers (25%), and resulted in 861 recalls. Among 40,024 participants receiving standard screening, radiologists detected 203 cancers, including 165 invasive cancers (81%) and 38 in situ cancers (19%), and resulted in 817 recalls.

Overall, the detection rate using AI support versus standard screening was 6.1 per 1000 screened participants versus 5.1 per 1,000. The recall rates were 2.2% versus 2.0%, respectively.

The false positive rates were the same in both groups (1.5%) while the positive predictive value (PPV) of recall – how likely a recall of a participant ultimately led to a cancer diagnosis – was higher in the AI group: 28.3% versus 24.8%.

The cancer detection rate in the high-risk group – patients with a risk score of 10 – was 72.3 per 1000 participants screened, or one cancer per 14 screening exams. And, overall, 189 of 490 screening exams flagged as extra-high risk by AI (the highest 1% risk) were recalled. Of the 189 recalled participants, 136 had cancer, representing a PPV of recall of 72%.

Overall, “we found that the benefit of AI-supported screening in terms of screen-reading workload reduction was considerable,” the authors said.

Assuming a radiologist can read 50 mammograms an hour, the researchers estimated that a radiologist would take 4.6 fewer months to read more than 46,000 screening exams in the intervention group compared with more than 83,000 in the control group.

Although these early safety results are “promising,” the findings “are not enough on their own to confirm that AI is ready to be implemented in mammography screening,” lead author Kristina Lång, PhD, of Lund (Sweden) University, said in a press release.

“We still need to understand the implications on patients’ outcomes, especially whether combining radiologists’ expertise with AI can help detect interval cancers that are often missed by traditional screening, as well as the cost-effectiveness of the technology,” she said, adding that “the greatest potential of AI right now is that it could allow radiologists to be less burdened by the excessive amount of reading.”

In an accompanying editorial, Nereo Segnan, MD, and Antonio Ponti, MD, both of CPO Piemonte in Torino, Italy, said that the AI risk score for breast cancer in the trial “seems very accurate at being able to separate high-risk from low-risk women.”

However, the potential for overdiagnosis or overdetection of indolent lesions in the intervention group should “prompt caution in the interpretation of results that otherwise seem straightforward in favoring the use of AI,” the editorialists noted.

The authors agreed that increased detection of in situ cancers with AI-supported screening compared with standard screening – 25% versus 19% – “could be concerning in terms of overdiagnosis,” as the risk of overtreatment is more likely with these low-grade cancers.

In the final analysis, Dr. Lång and colleagues plan to characterize the biological features of detected lesions to provide further insight on AI-supported screening, including the risk for overdiagnosis.

In a statement to the U.K.-based Science Media Centre, Stephen Duffy, professor of cancer screening, Wolfson Institute of Population Health, Queen Mary University of London, commented that the “results illustrate the potential for artificial intelligence to reduce the burden on radiologists’ time,” which is “an issue of considerable importance in many breast screening programs.”

The MASAI study was funded by the Swedish Cancer Society, Confederation of Regional Cancer Centres, and government funding for clinical research. Dr. Lång has been an advisory board member for Siemens Healthineers and has received lecture honorarium from AstraZeneca. Dr. Segnan and Dr. Hall reported no relevant financial relationships.

A version of this article first appeared on Medscape.com.

This transcript has been edited for clarity.

Dr. Partridge: We’re here today to have a conversation about the unique or age-specific issues that face our young patients and survivors with breast cancer.

Olivia, let’s get started. What kinds of things do we need to think about when we’re seeing a young patient in clinic, beyond the usual things we think about for patients with breast cancer?

Dr. Pagani: The idea of selecting age as a determinant of care of young women is because they have specific issues, which are different from older, premenopausal patients but also older patients in general. We need to take care of many things, which can go from their job, family, fertility, and all these things are specific to these women and can impact their treatment, survivorship issues, side effects, and long-term problems. It’s a different world, compared with other patients with breast cancer.

Dr. Partridge: One of the areas that you and I have been very deep in the weeds in is the fertility issues. That’s obviously one of the things that’s pretty age-specific. There are some new data around that that we’re excited about. What do we think about when we think about trying to have a pregnancy or not after a breast cancer diagnosis?

Dr. Pagani: Yeah. I think it’s great times for that because we succeeded in building up a very important trial, which broke a taboo that was there for many, many decades: You had breast cancer so forget your pregnancy desire.

Despite many retrospective data from many groups that suggested pregnancy after breast cancer was not detrimental, there were so many obstacles for these women to address their pregnancy desire. I think we succeeded in explaining and showing in a quite solid way that if you desire a baby after breast cancer, you can try to have him or her.

Dr. Partridge: This was called the POSITIVE trial, with early findings published in the New England Journal of Medicine this past year, which was very exciting. Let’s dig a little deeper into that. Is this relevant for all patients with breast cancer or select patients with breast cancer who want to get pregnant?

Dr. Pagani: The accrual of the trial was open to all patients with stage I-III disease, but the majority of the patients were low risk, which means that the majority were node negative with small tumors. I think, so far, we can say that in low-risk women, pregnancy after breast cancer can be discussed and planned.

Summarizing, I think the evidence is for low-risk patients with early breast cancer. A minority had huge tumors or node-positive disease.

Dr. Partridge: It’s nice to be able to have these data to say a temporary interruption of endocrine therapy – not coming off forever, getting back on – was not associated with any worsening in terms of their breast cancer events in the future, which is great news for the women who are diagnosed when they’re trying to get pregnant and build their families or not having completed their families. It’s been fantastic.

What about for our patients with advanced disease who come in, and we’re treating them more to try and manage the cancer and improve their survival and quality of life, but cure may not be the goal. How do we manage the fertility issues for them?

Dr. Pagani: This is, I think, still an open issue despite overall survival for many women with advanced disease, especially HER2 positive or endocrine responsive; it is improving and it’s getting better and better. There are few women with oligometastatic disease that can be cured.

We are not yet there. At the Advanced Breast Cancer conference, we started to open the door to say that fertility should be discussed with patients with advanced breast cancer as well. We cannot recommend to patients with advanced breast cancer to pursue a pregnancy.

We have no data. For sure, this needs to be taken into account and discussed openly with all the patients who desire to discuss this.

Dr. Partridge: Yes. To help people to either grieve their losses or find alternative ways to build their family, I think, is something that we focus on.

How to optimize the plan of care for young patients

Dr. Partridge: Shifting gears into the psychosocial, we know that our young women of all stages have a harder time adjusting to a breast cancer diagnosis for good reason. It’s not normative at all to be dealing with a lot of the slings and arrows that our young women deal with at the age that they do. How do you manage that in your clinic, Olivia?

Dr. Pagani: Well, I think it’s always tough. One of the problems, which is also true for early breast cancer in general, which I think is common to you as well, is that in our society many women get breast cancer before even having thought of their family planning. That’s many of them in our reality.

In other countries, maybe they have already two to three children. In our countries, they are aged 30-35 years with no children, no stable relationship, and then are faced with all these things, and their pregnancy desire can be blown up because they understand there is no time, especially if they are metastatic. This can be devastating.

We are not very good at that yet. I think we need to develop better tools, better competence, and knowledge to support them to this extent as well.

Dr. Partridge: I know that whether people want kids or not, the diagnosis of breast cancer has financial toxicity and the inconvenience of going through this kind of experience while managing a busy life. Many of our patients, especially our young patients, are trying to develop their careers, to graduate from schools, and to grow a nest egg. They’re not retired yet, on average.

I agree that we have a large amount of work to do. The one thing I try and do is always bring in our social workers and our psychosocial supportive care providers for our young patients; not that I don’t bring them in for everybody that needs them, but our young patients on average seem to need them a little bit more just because it can be just so hard on them from a psychosocial and emotional standpoint, don’t you think?

Dr. Pagani: Yes, I think so. Do you have any specific program going on at Harvard?

Dr. Partridge: We do. We’ve built a program for young women that focuses on their unique and specific needs that capitalizes on groups that are already there. We have a social work department. We just have smoothed the pathway, and we send our young people in there more quickly and have some dedicated support groups and one-to-one interventions where patients can guide other young patients. We’ve built out the supportive care for these young patients and programming.

The other big area we’ve developed that’s not unique to young age but certainly enhanced in our young patients is genetics. We have a big genetic component at our cancer center. The young patients, more so than any other group, need to have the genetic counseling and the genetic testing not only to know about future risks and about their families but also to inform their treatment decisions these days. Do you want to comment on that?

Dr. Pagani: Yes, of course. Genetic counseling, especially for the most common BRCA1 and BRCA2, can change their local treatment (e.g., bilateral mastectomy instead of conservative surgery) but they have also to take care of their ovaries. They need to think of prophylactic oophorectomy, which makes fertility and pregnancy even more complicated. For them, it’s much more complex to address everything.

I think it’s really very complex, and I think we need a better understanding of all the nuances. Sometimes, we really do not consider, as you mentioned, that not every woman desires to have a baby.

The occurrence of breast cancer can wake up a desire that was not conscious but becomes conscious because you feel that you will not be able to do that. With the social support, the psychological support, and support groups – we have a very strong breast cancer support group for younger women — they could face these things. The young women support group was supportive of the POSITIVE trial: they helped to develop and financed a video, which was very helpful to promote POSITIVE.

I think that having a relationship or a network between patients, health professionals, social workers, and psychologists can help everyone, including those who want to become mothers, those who cannot, and those who do not want to.

Dr. Partridge: I think that’s great, Olivia. I think you rounded it out by just shining a light on these issues for our young patients and elevating it to being okay to talk about these issues. I think historically, it’s been: “You’ve got breast cancer, forget about this. We just need to get you to a better survival.”

We’re increasingly recognizing for patients of all ages, but particularly our young patients, that just surviving through breast cancer or cancer in general is not enough. We need to help people live the best and fullest life possible in their survivorship.
 

Education and communication: Key aspects moving forward

Dr. Pagani: I think another issue we need really to improve is health professional competence and knowledge. After you presented the POSITIVE trial in San Antonio, I had many calls with patients. They told me, “Well, I had this information, but my gynecologist, my oncologist, or my general practitioner still discouraged me.” This is a great barrier.

I think we need to do more to teach the health professionals. Otherwise, what we do is never enough because it will be blocked. They are scared and they do not want to go against their doctors. I think this is a very big conflict.

Dr. Partridge: That’s a really important point, and I appreciate you bringing it up. We as clinicians and educators who are building the research base need to really get it out there.

Dr. Pagani is a professor at the University of Geneva. Dr. Partridge is professor of medicine at Harvard Medical School and vice chair of clinical oncology at Dana-Farber Cancer Institute, both in Boston. Dr. Pagani reported conflicts of interest with PRIME, Roche, Eli Lilly, Novartis, Takeda, Pfizer, and Debiopharm. Dr. Partridge reported no conflicts of interest.
 

A version of this article first appeared on Medscape.com.

This transcript has been edited for clarity.

Dr. Partridge: We’re here today to have a conversation about the unique or age-specific issues that face our young patients and survivors with breast cancer.

Olivia, let’s get started. What kinds of things do we need to think about when we’re seeing a young patient in clinic, beyond the usual things we think about for patients with breast cancer?

Dr. Pagani: The idea of selecting age as a determinant of care of young women is because they have specific issues, which are different from older, premenopausal patients but also older patients in general. We need to take care of many things, which can go from their job, family, fertility, and all these things are specific to these women and can impact their treatment, survivorship issues, side effects, and long-term problems. It’s a different world, compared with other patients with breast cancer.

Dr. Partridge: One of the areas that you and I have been very deep in the weeds in is the fertility issues. That’s obviously one of the things that’s pretty age-specific. There are some new data around that that we’re excited about. What do we think about when we think about trying to have a pregnancy or not after a breast cancer diagnosis?

Dr. Pagani: Yeah. I think it’s great times for that because we succeeded in building up a very important trial, which broke a taboo that was there for many, many decades: You had breast cancer so forget your pregnancy desire.

Despite many retrospective data from many groups that suggested pregnancy after breast cancer was not detrimental, there were so many obstacles for these women to address their pregnancy desire. I think we succeeded in explaining and showing in a quite solid way that if you desire a baby after breast cancer, you can try to have him or her.

Dr. Partridge: This was called the POSITIVE trial, with early findings published in the New England Journal of Medicine this past year, which was very exciting. Let’s dig a little deeper into that. Is this relevant for all patients with breast cancer or select patients with breast cancer who want to get pregnant?

Dr. Pagani: The accrual of the trial was open to all patients with stage I-III disease, but the majority of the patients were low risk, which means that the majority were node negative with small tumors. I think, so far, we can say that in low-risk women, pregnancy after breast cancer can be discussed and planned.

Summarizing, I think the evidence is for low-risk patients with early breast cancer. A minority had huge tumors or node-positive disease.

Dr. Partridge: It’s nice to be able to have these data to say a temporary interruption of endocrine therapy – not coming off forever, getting back on – was not associated with any worsening in terms of their breast cancer events in the future, which is great news for the women who are diagnosed when they’re trying to get pregnant and build their families or not having completed their families. It’s been fantastic.

What about for our patients with advanced disease who come in, and we’re treating them more to try and manage the cancer and improve their survival and quality of life, but cure may not be the goal. How do we manage the fertility issues for them?

Dr. Pagani: This is, I think, still an open issue despite overall survival for many women with advanced disease, especially HER2 positive or endocrine responsive; it is improving and it’s getting better and better. There are few women with oligometastatic disease that can be cured.

We are not yet there. At the Advanced Breast Cancer conference, we started to open the door to say that fertility should be discussed with patients with advanced breast cancer as well. We cannot recommend to patients with advanced breast cancer to pursue a pregnancy.

We have no data. For sure, this needs to be taken into account and discussed openly with all the patients who desire to discuss this.

Dr. Partridge: Yes. To help people to either grieve their losses or find alternative ways to build their family, I think, is something that we focus on.

How to optimize the plan of care for young patients

Dr. Partridge: Shifting gears into the psychosocial, we know that our young women of all stages have a harder time adjusting to a breast cancer diagnosis for good reason. It’s not normative at all to be dealing with a lot of the slings and arrows that our young women deal with at the age that they do. How do you manage that in your clinic, Olivia?

Dr. Pagani: Well, I think it’s always tough. One of the problems, which is also true for early breast cancer in general, which I think is common to you as well, is that in our society many women get breast cancer before even having thought of their family planning. That’s many of them in our reality.

In other countries, maybe they have already two to three children. In our countries, they are aged 30-35 years with no children, no stable relationship, and then are faced with all these things, and their pregnancy desire can be blown up because they understand there is no time, especially if they are metastatic. This can be devastating.

We are not very good at that yet. I think we need to develop better tools, better competence, and knowledge to support them to this extent as well.

Dr. Partridge: I know that whether people want kids or not, the diagnosis of breast cancer has financial toxicity and the inconvenience of going through this kind of experience while managing a busy life. Many of our patients, especially our young patients, are trying to develop their careers, to graduate from schools, and to grow a nest egg. They’re not retired yet, on average.

I agree that we have a large amount of work to do. The one thing I try and do is always bring in our social workers and our psychosocial supportive care providers for our young patients; not that I don’t bring them in for everybody that needs them, but our young patients on average seem to need them a little bit more just because it can be just so hard on them from a psychosocial and emotional standpoint, don’t you think?

Dr. Pagani: Yes, I think so. Do you have any specific program going on at Harvard?

Dr. Partridge: We do. We’ve built a program for young women that focuses on their unique and specific needs that capitalizes on groups that are already there. We have a social work department. We just have smoothed the pathway, and we send our young people in there more quickly and have some dedicated support groups and one-to-one interventions where patients can guide other young patients. We’ve built out the supportive care for these young patients and programming.

The other big area we’ve developed that’s not unique to young age but certainly enhanced in our young patients is genetics. We have a big genetic component at our cancer center. The young patients, more so than any other group, need to have the genetic counseling and the genetic testing not only to know about future risks and about their families but also to inform their treatment decisions these days. Do you want to comment on that?

Dr. Pagani: Yes, of course. Genetic counseling, especially for the most common BRCA1 and BRCA2, can change their local treatment (e.g., bilateral mastectomy instead of conservative surgery) but they have also to take care of their ovaries. They need to think of prophylactic oophorectomy, which makes fertility and pregnancy even more complicated. For them, it’s much more complex to address everything.

I think it’s really very complex, and I think we need a better understanding of all the nuances. Sometimes, we really do not consider, as you mentioned, that not every woman desires to have a baby.

The occurrence of breast cancer can wake up a desire that was not conscious but becomes conscious because you feel that you will not be able to do that. With the social support, the psychological support, and support groups – we have a very strong breast cancer support group for younger women — they could face these things. The young women support group was supportive of the POSITIVE trial: they helped to develop and financed a video, which was very helpful to promote POSITIVE.

I think that having a relationship or a network between patients, health professionals, social workers, and psychologists can help everyone, including those who want to become mothers, those who cannot, and those who do not want to.

Dr. Partridge: I think that’s great, Olivia. I think you rounded it out by just shining a light on these issues for our young patients and elevating it to being okay to talk about these issues. I think historically, it’s been: “You’ve got breast cancer, forget about this. We just need to get you to a better survival.”

We’re increasingly recognizing for patients of all ages, but particularly our young patients, that just surviving through breast cancer or cancer in general is not enough. We need to help people live the best and fullest life possible in their survivorship.
 

Education and communication: Key aspects moving forward

Dr. Pagani: I think another issue we need really to improve is health professional competence and knowledge. After you presented the POSITIVE trial in San Antonio, I had many calls with patients. They told me, “Well, I had this information, but my gynecologist, my oncologist, or my general practitioner still discouraged me.” This is a great barrier.

I think we need to do more to teach the health professionals. Otherwise, what we do is never enough because it will be blocked. They are scared and they do not want to go against their doctors. I think this is a very big conflict.

Dr. Partridge: That’s a really important point, and I appreciate you bringing it up. We as clinicians and educators who are building the research base need to really get it out there.

Dr. Pagani is a professor at the University of Geneva. Dr. Partridge is professor of medicine at Harvard Medical School and vice chair of clinical oncology at Dana-Farber Cancer Institute, both in Boston. Dr. Pagani reported conflicts of interest with PRIME, Roche, Eli Lilly, Novartis, Takeda, Pfizer, and Debiopharm. Dr. Partridge reported no conflicts of interest.
 

A version of this article first appeared on Medscape.com.

This transcript has been edited for clarity.

Dr. Partridge: We’re here today to have a conversation about the unique or age-specific issues that face our young patients and survivors with breast cancer.

Olivia, let’s get started. What kinds of things do we need to think about when we’re seeing a young patient in clinic, beyond the usual things we think about for patients with breast cancer?

Dr. Pagani: The idea of selecting age as a determinant of care of young women is because they have specific issues, which are different from older, premenopausal patients but also older patients in general. We need to take care of many things, which can go from their job, family, fertility, and all these things are specific to these women and can impact their treatment, survivorship issues, side effects, and long-term problems. It’s a different world, compared with other patients with breast cancer.

Dr. Partridge: One of the areas that you and I have been very deep in the weeds in is the fertility issues. That’s obviously one of the things that’s pretty age-specific. There are some new data around that that we’re excited about. What do we think about when we think about trying to have a pregnancy or not after a breast cancer diagnosis?

Dr. Pagani: Yeah. I think it’s great times for that because we succeeded in building up a very important trial, which broke a taboo that was there for many, many decades: You had breast cancer so forget your pregnancy desire.

Despite many retrospective data from many groups that suggested pregnancy after breast cancer was not detrimental, there were so many obstacles for these women to address their pregnancy desire. I think we succeeded in explaining and showing in a quite solid way that if you desire a baby after breast cancer, you can try to have him or her.

Dr. Partridge: This was called the POSITIVE trial, with early findings published in the New England Journal of Medicine this past year, which was very exciting. Let’s dig a little deeper into that. Is this relevant for all patients with breast cancer or select patients with breast cancer who want to get pregnant?

Dr. Pagani: The accrual of the trial was open to all patients with stage I-III disease, but the majority of the patients were low risk, which means that the majority were node negative with small tumors. I think, so far, we can say that in low-risk women, pregnancy after breast cancer can be discussed and planned.

Summarizing, I think the evidence is for low-risk patients with early breast cancer. A minority had huge tumors or node-positive disease.

Dr. Partridge: It’s nice to be able to have these data to say a temporary interruption of endocrine therapy – not coming off forever, getting back on – was not associated with any worsening in terms of their breast cancer events in the future, which is great news for the women who are diagnosed when they’re trying to get pregnant and build their families or not having completed their families. It’s been fantastic.

What about for our patients with advanced disease who come in, and we’re treating them more to try and manage the cancer and improve their survival and quality of life, but cure may not be the goal. How do we manage the fertility issues for them?

Dr. Pagani: This is, I think, still an open issue despite overall survival for many women with advanced disease, especially HER2 positive or endocrine responsive; it is improving and it’s getting better and better. There are few women with oligometastatic disease that can be cured.

We are not yet there. At the Advanced Breast Cancer conference, we started to open the door to say that fertility should be discussed with patients with advanced breast cancer as well. We cannot recommend to patients with advanced breast cancer to pursue a pregnancy.

We have no data. For sure, this needs to be taken into account and discussed openly with all the patients who desire to discuss this.

Dr. Partridge: Yes. To help people to either grieve their losses or find alternative ways to build their family, I think, is something that we focus on.

How to optimize the plan of care for young patients

Dr. Partridge: Shifting gears into the psychosocial, we know that our young women of all stages have a harder time adjusting to a breast cancer diagnosis for good reason. It’s not normative at all to be dealing with a lot of the slings and arrows that our young women deal with at the age that they do. How do you manage that in your clinic, Olivia?

Dr. Pagani: Well, I think it’s always tough. One of the problems, which is also true for early breast cancer in general, which I think is common to you as well, is that in our society many women get breast cancer before even having thought of their family planning. That’s many of them in our reality.

In other countries, maybe they have already two to three children. In our countries, they are aged 30-35 years with no children, no stable relationship, and then are faced with all these things, and their pregnancy desire can be blown up because they understand there is no time, especially if they are metastatic. This can be devastating.

We are not very good at that yet. I think we need to develop better tools, better competence, and knowledge to support them to this extent as well.

Dr. Partridge: I know that whether people want kids or not, the diagnosis of breast cancer has financial toxicity and the inconvenience of going through this kind of experience while managing a busy life. Many of our patients, especially our young patients, are trying to develop their careers, to graduate from schools, and to grow a nest egg. They’re not retired yet, on average.

I agree that we have a large amount of work to do. The one thing I try and do is always bring in our social workers and our psychosocial supportive care providers for our young patients; not that I don’t bring them in for everybody that needs them, but our young patients on average seem to need them a little bit more just because it can be just so hard on them from a psychosocial and emotional standpoint, don’t you think?

Dr. Pagani: Yes, I think so. Do you have any specific program going on at Harvard?

Dr. Partridge: We do. We’ve built a program for young women that focuses on their unique and specific needs that capitalizes on groups that are already there. We have a social work department. We just have smoothed the pathway, and we send our young people in there more quickly and have some dedicated support groups and one-to-one interventions where patients can guide other young patients. We’ve built out the supportive care for these young patients and programming.

The other big area we’ve developed that’s not unique to young age but certainly enhanced in our young patients is genetics. We have a big genetic component at our cancer center. The young patients, more so than any other group, need to have the genetic counseling and the genetic testing not only to know about future risks and about their families but also to inform their treatment decisions these days. Do you want to comment on that?

Dr. Pagani: Yes, of course. Genetic counseling, especially for the most common BRCA1 and BRCA2, can change their local treatment (e.g., bilateral mastectomy instead of conservative surgery) but they have also to take care of their ovaries. They need to think of prophylactic oophorectomy, which makes fertility and pregnancy even more complicated. For them, it’s much more complex to address everything.

I think it’s really very complex, and I think we need a better understanding of all the nuances. Sometimes, we really do not consider, as you mentioned, that not every woman desires to have a baby.

The occurrence of breast cancer can wake up a desire that was not conscious but becomes conscious because you feel that you will not be able to do that. With the social support, the psychological support, and support groups – we have a very strong breast cancer support group for younger women — they could face these things. The young women support group was supportive of the POSITIVE trial: they helped to develop and financed a video, which was very helpful to promote POSITIVE.

I think that having a relationship or a network between patients, health professionals, social workers, and psychologists can help everyone, including those who want to become mothers, those who cannot, and those who do not want to.

Dr. Partridge: I think that’s great, Olivia. I think you rounded it out by just shining a light on these issues for our young patients and elevating it to being okay to talk about these issues. I think historically, it’s been: “You’ve got breast cancer, forget about this. We just need to get you to a better survival.”

We’re increasingly recognizing for patients of all ages, but particularly our young patients, that just surviving through breast cancer or cancer in general is not enough. We need to help people live the best and fullest life possible in their survivorship.
 

Education and communication: Key aspects moving forward

Dr. Pagani: I think another issue we need really to improve is health professional competence and knowledge. After you presented the POSITIVE trial in San Antonio, I had many calls with patients. They told me, “Well, I had this information, but my gynecologist, my oncologist, or my general practitioner still discouraged me.” This is a great barrier.

I think we need to do more to teach the health professionals. Otherwise, what we do is never enough because it will be blocked. They are scared and they do not want to go against their doctors. I think this is a very big conflict.

Dr. Partridge: That’s a really important point, and I appreciate you bringing it up. We as clinicians and educators who are building the research base need to really get it out there.

Dr. Pagani is a professor at the University of Geneva. Dr. Partridge is professor of medicine at Harvard Medical School and vice chair of clinical oncology at Dana-Farber Cancer Institute, both in Boston. Dr. Pagani reported conflicts of interest with PRIME, Roche, Eli Lilly, Novartis, Takeda, Pfizer, and Debiopharm. Dr. Partridge reported no conflicts of interest.
 

A version of this article first appeared on Medscape.com.

Women diagnosed with early-stage breast cancer are more likely to become long-term survivors of the disease now than they were 20 years ago, a new study found.

Researchers at the University of Oxford (England) conducted an observational study that examined case fatality rates for women with breast cancer and found that the prognosis for women has “improved substantially” over the past few decades. For women diagnosed with early invasive breast cancer during the 1990s, the risk of death within 5 years of diagnosis was just over 14% on average. For women diagnosed during the 2010s, it was nearly 5% on average.

“The take-home message in our study is that it’s good news for women who are diagnosed with early breast cancer today because most of them can expect to become long-term cancer survivors, and so I think our results are reassuring,” said lead study author Carolyn Taylor, DPhil, a clinical oncologist from the Nuffield Department Of Population Health, University of Oxford.

The study was published online in the BMJ.

Although breast cancer survival has improved, recent estimates don’t incorporate detailed data on age, tumor size, tumor grade, and nodal and receptor status. In the current population-based study, researchers explored improvement in survival from early-stage breast cancer. They used nine patient and tumor characteristics as factors in their analysis.

The study is based on data from the National Cancer Registration for 512,447 women in England who were diagnosed with early-stage invasive breast cancer between 1993 and 2015. Women were broken into four groups: those diagnosed during 1993-1999, 2000-2004, 2005-2009, and 2010-2015.

The study focused on women who initially underwent either breast-conserving surgery or mastectomy as their first treatment. Data included age, tumor size, tumor grade, number of positive nodes, and estrogen receptor (ER) status. For women who were diagnosed from 2010 to 2015, HER2 status was included. Data regarding recurrence, receipt of neoadjuvant therapy, and patients who were diagnosed with more than one cancer were not included.

The major finding: Among women diagnosed with early-stage invasive breast cancer, the risk of dying decreased almost threefold between 1993 and 2015. The 5-year cumulative case fatality risk was 14.4% for women diagnosed in the 1990s (1993-1999) versus 4.9% for women diagnosed about 2 decades later (2010-2015).

Dr. Taylor and colleagues found that the case fatality rate was highest during the 5 years after diagnosis; within those years, the rates typically increased during the first 2 years, peaked during the third, and declined thereafter.

The 5-year risk of death, however, varied widely among women in the population. For most (62.8%) who were diagnosed between 2010 and 2015, the case fatality risk was 3% or less; however, for a small subset of women (4.6%), the risk reached 20% or higher.

Patients with ER-negative tumors tended to have worse prognoses in the first decade following their diagnosis. Overall, higher tumor size and grade, more positive nodes, and older age tended to be associated with worse prognoses.

Overall, the annual case fatality rates decreased over time in nearly every patient group.

While Dr. Taylor said these findings are encouraging, she added that the investigators did not analyze why survival rates have improved over 2 decades.

“We didn’t explain how much of the improvement was due to advances treatments, improved screening rates, etc,” Dr. Taylor said. Another limitation is that data on recurrence were not available.

Kathy Miller, MD, who specializes in breast cancer at the Melvin and Bren Simon Cancer Center at Indiana University, Indianapolis, said the 5-year mark for survival is great news for some patients with breast cancer but that the time frame doesn’t apply to all.

While the risk of case fatality from breast cancer may be higher during the first 5 years after diagnosis, Dr. Miller said that is not the case for women with ER-positive breast cancer. In the study, the researchers highlighted this trend for ER status: before the 10-year mark, survival rates for women with ER-positive disease were better, but after the 10-year mark, those with ER-negative tumors seemed to fare slightly better.

“Many patients have heard this very arbitrary 5-year mark, and for patients with ER-positive disease, that 5-year mark has no meaning, because their risk in any given year is very low and it stays at that very low consistent level for at least 15 years, probably longer,” Dr. Miller said in an interview. “I think a better way to think about this for ER-positive patients is that every day that goes by without a problem makes it a tiny bit less likely that you will ever have a problem.”

The authors took a similar view for the overall population, concluding that, “although deaths from breast cancer will continue to occur beyond this [5-year mark], the risk during each subsequent 5-year period is likely to be lower than during the first 5 years.”

The research was funded by Cancer Research UK, the National Institute for Health Research Oxford Biomedical Research Centre, the U.K. Medical Research Council, and the University of Oxford. Some study authors received support for several of these institutions, but they reported no financial relationships with organizations that might have had an interest in the submitted work during the previous 3 years.

A version of this article first appeared on Medscape.com.

Women diagnosed with early-stage breast cancer are more likely to become long-term survivors of the disease now than they were 20 years ago, a new study found.

Researchers at the University of Oxford (England) conducted an observational study that examined case fatality rates for women with breast cancer and found that the prognosis for women has “improved substantially” over the past few decades. For women diagnosed with early invasive breast cancer during the 1990s, the risk of death within 5 years of diagnosis was just over 14% on average. For women diagnosed during the 2010s, it was nearly 5% on average.

“The take-home message in our study is that it’s good news for women who are diagnosed with early breast cancer today because most of them can expect to become long-term cancer survivors, and so I think our results are reassuring,” said lead study author Carolyn Taylor, DPhil, a clinical oncologist from the Nuffield Department Of Population Health, University of Oxford.

The study was published online in the BMJ.

Although breast cancer survival has improved, recent estimates don’t incorporate detailed data on age, tumor size, tumor grade, and nodal and receptor status. In the current population-based study, researchers explored improvement in survival from early-stage breast cancer. They used nine patient and tumor characteristics as factors in their analysis.

The study is based on data from the National Cancer Registration for 512,447 women in England who were diagnosed with early-stage invasive breast cancer between 1993 and 2015. Women were broken into four groups: those diagnosed during 1993-1999, 2000-2004, 2005-2009, and 2010-2015.

The study focused on women who initially underwent either breast-conserving surgery or mastectomy as their first treatment. Data included age, tumor size, tumor grade, number of positive nodes, and estrogen receptor (ER) status. For women who were diagnosed from 2010 to 2015, HER2 status was included. Data regarding recurrence, receipt of neoadjuvant therapy, and patients who were diagnosed with more than one cancer were not included.

The major finding: Among women diagnosed with early-stage invasive breast cancer, the risk of dying decreased almost threefold between 1993 and 2015. The 5-year cumulative case fatality risk was 14.4% for women diagnosed in the 1990s (1993-1999) versus 4.9% for women diagnosed about 2 decades later (2010-2015).

Dr. Taylor and colleagues found that the case fatality rate was highest during the 5 years after diagnosis; within those years, the rates typically increased during the first 2 years, peaked during the third, and declined thereafter.

The 5-year risk of death, however, varied widely among women in the population. For most (62.8%) who were diagnosed between 2010 and 2015, the case fatality risk was 3% or less; however, for a small subset of women (4.6%), the risk reached 20% or higher.

Patients with ER-negative tumors tended to have worse prognoses in the first decade following their diagnosis. Overall, higher tumor size and grade, more positive nodes, and older age tended to be associated with worse prognoses.

Overall, the annual case fatality rates decreased over time in nearly every patient group.

While Dr. Taylor said these findings are encouraging, she added that the investigators did not analyze why survival rates have improved over 2 decades.

“We didn’t explain how much of the improvement was due to advances treatments, improved screening rates, etc,” Dr. Taylor said. Another limitation is that data on recurrence were not available.

Kathy Miller, MD, who specializes in breast cancer at the Melvin and Bren Simon Cancer Center at Indiana University, Indianapolis, said the 5-year mark for survival is great news for some patients with breast cancer but that the time frame doesn’t apply to all.

While the risk of case fatality from breast cancer may be higher during the first 5 years after diagnosis, Dr. Miller said that is not the case for women with ER-positive breast cancer. In the study, the researchers highlighted this trend for ER status: before the 10-year mark, survival rates for women with ER-positive disease were better, but after the 10-year mark, those with ER-negative tumors seemed to fare slightly better.

“Many patients have heard this very arbitrary 5-year mark, and for patients with ER-positive disease, that 5-year mark has no meaning, because their risk in any given year is very low and it stays at that very low consistent level for at least 15 years, probably longer,” Dr. Miller said in an interview. “I think a better way to think about this for ER-positive patients is that every day that goes by without a problem makes it a tiny bit less likely that you will ever have a problem.”

The authors took a similar view for the overall population, concluding that, “although deaths from breast cancer will continue to occur beyond this [5-year mark], the risk during each subsequent 5-year period is likely to be lower than during the first 5 years.”

The research was funded by Cancer Research UK, the National Institute for Health Research Oxford Biomedical Research Centre, the U.K. Medical Research Council, and the University of Oxford. Some study authors received support for several of these institutions, but they reported no financial relationships with organizations that might have had an interest in the submitted work during the previous 3 years.

A version of this article first appeared on Medscape.com.

Women diagnosed with early-stage breast cancer are more likely to become long-term survivors of the disease now than they were 20 years ago, a new study found.

Researchers at the University of Oxford (England) conducted an observational study that examined case fatality rates for women with breast cancer and found that the prognosis for women has “improved substantially” over the past few decades. For women diagnosed with early invasive breast cancer during the 1990s, the risk of death within 5 years of diagnosis was just over 14% on average. For women diagnosed during the 2010s, it was nearly 5% on average.

“The take-home message in our study is that it’s good news for women who are diagnosed with early breast cancer today because most of them can expect to become long-term cancer survivors, and so I think our results are reassuring,” said lead study author Carolyn Taylor, DPhil, a clinical oncologist from the Nuffield Department Of Population Health, University of Oxford.

The study was published online in the BMJ.

Although breast cancer survival has improved, recent estimates don’t incorporate detailed data on age, tumor size, tumor grade, and nodal and receptor status. In the current population-based study, researchers explored improvement in survival from early-stage breast cancer. They used nine patient and tumor characteristics as factors in their analysis.

The study is based on data from the National Cancer Registration for 512,447 women in England who were diagnosed with early-stage invasive breast cancer between 1993 and 2015. Women were broken into four groups: those diagnosed during 1993-1999, 2000-2004, 2005-2009, and 2010-2015.

The study focused on women who initially underwent either breast-conserving surgery or mastectomy as their first treatment. Data included age, tumor size, tumor grade, number of positive nodes, and estrogen receptor (ER) status. For women who were diagnosed from 2010 to 2015, HER2 status was included. Data regarding recurrence, receipt of neoadjuvant therapy, and patients who were diagnosed with more than one cancer were not included.

The major finding: Among women diagnosed with early-stage invasive breast cancer, the risk of dying decreased almost threefold between 1993 and 2015. The 5-year cumulative case fatality risk was 14.4% for women diagnosed in the 1990s (1993-1999) versus 4.9% for women diagnosed about 2 decades later (2010-2015).

Dr. Taylor and colleagues found that the case fatality rate was highest during the 5 years after diagnosis; within those years, the rates typically increased during the first 2 years, peaked during the third, and declined thereafter.

The 5-year risk of death, however, varied widely among women in the population. For most (62.8%) who were diagnosed between 2010 and 2015, the case fatality risk was 3% or less; however, for a small subset of women (4.6%), the risk reached 20% or higher.

Patients with ER-negative tumors tended to have worse prognoses in the first decade following their diagnosis. Overall, higher tumor size and grade, more positive nodes, and older age tended to be associated with worse prognoses.

Overall, the annual case fatality rates decreased over time in nearly every patient group.

While Dr. Taylor said these findings are encouraging, she added that the investigators did not analyze why survival rates have improved over 2 decades.

“We didn’t explain how much of the improvement was due to advances treatments, improved screening rates, etc,” Dr. Taylor said. Another limitation is that data on recurrence were not available.

Kathy Miller, MD, who specializes in breast cancer at the Melvin and Bren Simon Cancer Center at Indiana University, Indianapolis, said the 5-year mark for survival is great news for some patients with breast cancer but that the time frame doesn’t apply to all.

While the risk of case fatality from breast cancer may be higher during the first 5 years after diagnosis, Dr. Miller said that is not the case for women with ER-positive breast cancer. In the study, the researchers highlighted this trend for ER status: before the 10-year mark, survival rates for women with ER-positive disease were better, but after the 10-year mark, those with ER-negative tumors seemed to fare slightly better.

“Many patients have heard this very arbitrary 5-year mark, and for patients with ER-positive disease, that 5-year mark has no meaning, because their risk in any given year is very low and it stays at that very low consistent level for at least 15 years, probably longer,” Dr. Miller said in an interview. “I think a better way to think about this for ER-positive patients is that every day that goes by without a problem makes it a tiny bit less likely that you will ever have a problem.”

The authors took a similar view for the overall population, concluding that, “although deaths from breast cancer will continue to occur beyond this [5-year mark], the risk during each subsequent 5-year period is likely to be lower than during the first 5 years.”

The research was funded by Cancer Research UK, the National Institute for Health Research Oxford Biomedical Research Centre, the U.K. Medical Research Council, and the University of Oxford. Some study authors received support for several of these institutions, but they reported no financial relationships with organizations that might have had an interest in the submitted work during the previous 3 years.

A version of this article first appeared on Medscape.com.

Data are limited regarding the effect of interrupting radiation therapy for patients with BC. A retrospective study by Chow and colleagues looked at 35,845 patients with nonmetastatic triple-negative BC from the National Cancer Database who had received external beam radiation therapy as part of the management of their BC. The analysis showed inferior overall survival in patients with a longer duration of radiation treatment (hazard ratio 1.023; 95% CI 1.015-1.031) The more days of interruption, the higher the likelihood of mortality seen. In reference to 0-1 days of interruption, patients with 2-5 interrupted days (hazard ratio 1.069; 95% CI 1.002-1.140), 6-10 interrupted days (hazard ratio 1.239; 95% CI 1.140-1.348), and 11-15 interrupted days (hazard ratio 1.265; 95% CI 1.126-1.431) did worse. These findings should encourage further studies to explore ways to minimize treatment interruptions among patients with BC.

A lack of adherence to adjuvant endocrine therapy has been associated with increased mortality among women with BC. The retrospective study by Zheng and Thomas  included 25,796 older women (> 65 years old) diagnosed with stage I-III hormone receptor–positive BC and looked at associations between adherence to and persistence with adjuvant endocrine therapy and mortality in this cohort. Their findings showed that the risk for all-cause mortality was reduced by 25% in patients with vs without cumulative adherence to endocrine therapy (hazard ratio 0.75; P < .001), although no association was seen with BC-specific mortality. Persistence with endocrine therapy, which was defined as having taken the treatment for ≥ 180 continuous days, was associated with 11% reduction in all-cause mortality and 37% reduction in BC-specific mortality. This study supports prior studies in highlighting the importance of endocrine therapy adherence among women with hormone-positive BC.

Tumor-infiltrating lymphocytes (TIL) are considered significant prognostic markers in patients with BC, although the prognostic effect of TIL in human epidermal growth factor reception 2 (HER2)–low BC has not been identified. A large-cohort, single-institution retrospective analysis by Sun and colleagues investigated the prognostic role of TIL in HER2-low early-stage BC. The analysis included 1763 patients with early-stage BC who underwent surgery, of whom 429 patients were HER2+, 739 were HER2-low, and 595 were HER2-0. No differences in disease-free survival (DFS) were seen between the three cohorts. However, in patients with HER2-low BC, high (>10%) vs low (≤10%) TIL levels were associated with a 53% improvement in DFS overall (hazard ratio 0.47; P = .035), and a 58% improvement in DFS was seen for the hormone receptor–positive/HER2-low cohort (hazard ratio 0.42; P = .032).

Data are limited regarding the effect of interrupting radiation therapy for patients with BC. A retrospective study by Chow and colleagues looked at 35,845 patients with nonmetastatic triple-negative BC from the National Cancer Database who had received external beam radiation therapy as part of the management of their BC. The analysis showed inferior overall survival in patients with a longer duration of radiation treatment (hazard ratio 1.023; 95% CI 1.015-1.031) The more days of interruption, the higher the likelihood of mortality seen. In reference to 0-1 days of interruption, patients with 2-5 interrupted days (hazard ratio 1.069; 95% CI 1.002-1.140), 6-10 interrupted days (hazard ratio 1.239; 95% CI 1.140-1.348), and 11-15 interrupted days (hazard ratio 1.265; 95% CI 1.126-1.431) did worse. These findings should encourage further studies to explore ways to minimize treatment interruptions among patients with BC.

A lack of adherence to adjuvant endocrine therapy has been associated with increased mortality among women with BC. The retrospective study by Zheng and Thomas  included 25,796 older women (> 65 years old) diagnosed with stage I-III hormone receptor–positive BC and looked at associations between adherence to and persistence with adjuvant endocrine therapy and mortality in this cohort. Their findings showed that the risk for all-cause mortality was reduced by 25% in patients with vs without cumulative adherence to endocrine therapy (hazard ratio 0.75; P < .001), although no association was seen with BC-specific mortality. Persistence with endocrine therapy, which was defined as having taken the treatment for ≥ 180 continuous days, was associated with 11% reduction in all-cause mortality and 37% reduction in BC-specific mortality. This study supports prior studies in highlighting the importance of endocrine therapy adherence among women with hormone-positive BC.

Tumor-infiltrating lymphocytes (TIL) are considered significant prognostic markers in patients with BC, although the prognostic effect of TIL in human epidermal growth factor reception 2 (HER2)–low BC has not been identified. A large-cohort, single-institution retrospective analysis by Sun and colleagues investigated the prognostic role of TIL in HER2-low early-stage BC. The analysis included 1763 patients with early-stage BC who underwent surgery, of whom 429 patients were HER2+, 739 were HER2-low, and 595 were HER2-0. No differences in disease-free survival (DFS) were seen between the three cohorts. However, in patients with HER2-low BC, high (>10%) vs low (≤10%) TIL levels were associated with a 53% improvement in DFS overall (hazard ratio 0.47; P = .035), and a 58% improvement in DFS was seen for the hormone receptor–positive/HER2-low cohort (hazard ratio 0.42; P = .032).

Data are limited regarding the effect of interrupting radiation therapy for patients with BC. A retrospective study by Chow and colleagues looked at 35,845 patients with nonmetastatic triple-negative BC from the National Cancer Database who had received external beam radiation therapy as part of the management of their BC. The analysis showed inferior overall survival in patients with a longer duration of radiation treatment (hazard ratio 1.023; 95% CI 1.015-1.031) The more days of interruption, the higher the likelihood of mortality seen. In reference to 0-1 days of interruption, patients with 2-5 interrupted days (hazard ratio 1.069; 95% CI 1.002-1.140), 6-10 interrupted days (hazard ratio 1.239; 95% CI 1.140-1.348), and 11-15 interrupted days (hazard ratio 1.265; 95% CI 1.126-1.431) did worse. These findings should encourage further studies to explore ways to minimize treatment interruptions among patients with BC.

A lack of adherence to adjuvant endocrine therapy has been associated with increased mortality among women with BC. The retrospective study by Zheng and Thomas  included 25,796 older women (> 65 years old) diagnosed with stage I-III hormone receptor–positive BC and looked at associations between adherence to and persistence with adjuvant endocrine therapy and mortality in this cohort. Their findings showed that the risk for all-cause mortality was reduced by 25% in patients with vs without cumulative adherence to endocrine therapy (hazard ratio 0.75; P < .001), although no association was seen with BC-specific mortality. Persistence with endocrine therapy, which was defined as having taken the treatment for ≥ 180 continuous days, was associated with 11% reduction in all-cause mortality and 37% reduction in BC-specific mortality. This study supports prior studies in highlighting the importance of endocrine therapy adherence among women with hormone-positive BC.

Tumor-infiltrating lymphocytes (TIL) are considered significant prognostic markers in patients with BC, although the prognostic effect of TIL in human epidermal growth factor reception 2 (HER2)–low BC has not been identified. A large-cohort, single-institution retrospective analysis by Sun and colleagues investigated the prognostic role of TIL in HER2-low early-stage BC. The analysis included 1763 patients with early-stage BC who underwent surgery, of whom 429 patients were HER2+, 739 were HER2-low, and 595 were HER2-0. No differences in disease-free survival (DFS) were seen between the three cohorts. However, in patients with HER2-low BC, high (>10%) vs low (≤10%) TIL levels were associated with a 53% improvement in DFS overall (hazard ratio 0.47; P = .035), and a 58% improvement in DFS was seen for the hormone receptor–positive/HER2-low cohort (hazard ratio 0.42; P = .032).

Key clinical point: Women who survive stages I-III breast cancer (BC) may experience improved survival outcomes on adhering to a low-carbohydrate diet, particularly one that is plant-rich.

Major finding: Compared with women having the highest carbohydrate intake, lowest protein intake, and lowest fat intake after BC diagnosis, those adhering to an overall low‐carbohydrate diet (hazard ratio [HR] 0.82; P_trend = .0001) and a plant‐rich low‐carbohydrate diet (HR 0.73; P_trend <.0001) had a significantly lower risk for all-cause mortality.

Study details: Findings are from an analysis of two ongoing cohort studies, the Nurses’ Health Study (NHS) and NHS II, including 9621 women with stages I-III BC, of which 1269 women died from BC.

Disclosures: This study was sponsored by the US National Institutes of Health and University of Toronto. Two authors declared being the founder of or receiving personal fees, nonfinancial support, and grants from various sources. The other authors declared no conflicts of interest.

Source: Farvid MS et al. Associations of low-carbohydrate diets with breast cancer survival. Cancer. 2023 (Jun 10). Doi: 10.1002/cncr.34819

Key clinical point: Women who survive stages I-III breast cancer (BC) may experience improved survival outcomes on adhering to a low-carbohydrate diet, particularly one that is plant-rich.

Major finding: Compared with women having the highest carbohydrate intake, lowest protein intake, and lowest fat intake after BC diagnosis, those adhering to an overall low‐carbohydrate diet (hazard ratio [HR] 0.82; P_trend = .0001) and a plant‐rich low‐carbohydrate diet (HR 0.73; P_trend <.0001) had a significantly lower risk for all-cause mortality.

Study details: Findings are from an analysis of two ongoing cohort studies, the Nurses’ Health Study (NHS) and NHS II, including 9621 women with stages I-III BC, of which 1269 women died from BC.

Disclosures: This study was sponsored by the US National Institutes of Health and University of Toronto. Two authors declared being the founder of or receiving personal fees, nonfinancial support, and grants from various sources. The other authors declared no conflicts of interest.

Source: Farvid MS et al. Associations of low-carbohydrate diets with breast cancer survival. Cancer. 2023 (Jun 10). Doi: 10.1002/cncr.34819

Key clinical point: Women who survive stages I-III breast cancer (BC) may experience improved survival outcomes on adhering to a low-carbohydrate diet, particularly one that is plant-rich.

Major finding: Compared with women having the highest carbohydrate intake, lowest protein intake, and lowest fat intake after BC diagnosis, those adhering to an overall low‐carbohydrate diet (hazard ratio [HR] 0.82; P_trend = .0001) and a plant‐rich low‐carbohydrate diet (HR 0.73; P_trend <.0001) had a significantly lower risk for all-cause mortality.

Study details: Findings are from an analysis of two ongoing cohort studies, the Nurses’ Health Study (NHS) and NHS II, including 9621 women with stages I-III BC, of which 1269 women died from BC.

Disclosures: This study was sponsored by the US National Institutes of Health and University of Toronto. Two authors declared being the founder of or receiving personal fees, nonfinancial support, and grants from various sources. The other authors declared no conflicts of interest.

Source: Farvid MS et al. Associations of low-carbohydrate diets with breast cancer survival. Cancer. 2023 (Jun 10). Doi: 10.1002/cncr.34819

Key clinical point: The level of stromal tumor-infiltrating lymphocytes (TIL) can provide insights on disease-free survival (DFS) outcomes in human epidermal growth factor receptor 2-low-positive (HER2-low+) early-stage breast cancer (BC).

Major finding: High (>10%) vs low (≤10%) TIL levels were associated with a 53% improvement in DFS in HER2-low+ BC (hazard ratio [HR] 0.47; P = .035) and 58% improvement in DFS in hormone receptor-positive/HER2-low+ BC (HR 0.42; P = .032).

Study details: Findings are from a single-institution retrospective analysis including 1763 patients with early-stage BC who underwent surgery, of whom 429 patients were HER2+, 739 were HER2-low+, and 595 were HER2-0.

Disclosures: This study was supported by the National Natural Science Foundation of China and the Natural Science Foundation of Shandong Province. The authors declared no conflicts of interest.

Source: Sun T et al. Tumor-infiltrating lymphocytes provides recent survival information for early-stage HER2-low-positive breast cancer: A large cohort retrospective study. Front Oncol. 2023;13:1148228 (Jun 20). Doi: 10.3389/fonc.2023.1148228

Key clinical point: The level of stromal tumor-infiltrating lymphocytes (TIL) can provide insights on disease-free survival (DFS) outcomes in human epidermal growth factor receptor 2-low-positive (HER2-low+) early-stage breast cancer (BC).

Major finding: High (>10%) vs low (≤10%) TIL levels were associated with a 53% improvement in DFS in HER2-low+ BC (hazard ratio [HR] 0.47; P = .035) and 58% improvement in DFS in hormone receptor-positive/HER2-low+ BC (HR 0.42; P = .032).

Study details: Findings are from a single-institution retrospective analysis including 1763 patients with early-stage BC who underwent surgery, of whom 429 patients were HER2+, 739 were HER2-low+, and 595 were HER2-0.

Disclosures: This study was supported by the National Natural Science Foundation of China and the Natural Science Foundation of Shandong Province. The authors declared no conflicts of interest.

Source: Sun T et al. Tumor-infiltrating lymphocytes provides recent survival information for early-stage HER2-low-positive breast cancer: A large cohort retrospective study. Front Oncol. 2023;13:1148228 (Jun 20). Doi: 10.3389/fonc.2023.1148228

Key clinical point: The level of stromal tumor-infiltrating lymphocytes (TIL) can provide insights on disease-free survival (DFS) outcomes in human epidermal growth factor receptor 2-low-positive (HER2-low+) early-stage breast cancer (BC).

Major finding: High (>10%) vs low (≤10%) TIL levels were associated with a 53% improvement in DFS in HER2-low+ BC (hazard ratio [HR] 0.47; P = .035) and 58% improvement in DFS in hormone receptor-positive/HER2-low+ BC (HR 0.42; P = .032).

Study details: Findings are from a single-institution retrospective analysis including 1763 patients with early-stage BC who underwent surgery, of whom 429 patients were HER2+, 739 were HER2-low+, and 595 were HER2-0.

Disclosures: This study was supported by the National Natural Science Foundation of China and the Natural Science Foundation of Shandong Province. The authors declared no conflicts of interest.

Source: Sun T et al. Tumor-infiltrating lymphocytes provides recent survival information for early-stage HER2-low-positive breast cancer: A large cohort retrospective study. Front Oncol. 2023;13:1148228 (Jun 20). Doi: 10.3389/fonc.2023.1148228

Key clinical point: High cardiorespiratory fitness (CRF) may prevent the development of breast cancer (BC) in postmenopausal women.

Major finding: Compared with women with low-to-moderate estimated CRF, those with high eCRF had 24% lower odds of developing BC (adjusted subdistribution hazard ratio 0.76; 95% CI 0.60-0.97).

Study details: This study used the UK Biobank data to evaluate 17,840 post-menopausal women who were free of cancer and were followed for 11 years, of which 529 women developed BC.

Disclosures: This project was funded in part by the Canadian Institutes of Health Research and discretionary funds held by JD Brooks. The authors declared no conflicts of interest.

Source: Christensen RAG et al. Association between estimated cardiorespiratory fitness and breast cancer: A prospective cohort study. Br J Sports Med. 2023 (Jun 19). Doi: 10.1136/bjsports-2021-104870

Key clinical point: High cardiorespiratory fitness (CRF) may prevent the development of breast cancer (BC) in postmenopausal women.

Major finding: Compared with women with low-to-moderate estimated CRF, those with high eCRF had 24% lower odds of developing BC (adjusted subdistribution hazard ratio 0.76; 95% CI 0.60-0.97).

Study details: This study used the UK Biobank data to evaluate 17,840 post-menopausal women who were free of cancer and were followed for 11 years, of which 529 women developed BC.

Disclosures: This project was funded in part by the Canadian Institutes of Health Research and discretionary funds held by JD Brooks. The authors declared no conflicts of interest.

Source: Christensen RAG et al. Association between estimated cardiorespiratory fitness and breast cancer: A prospective cohort study. Br J Sports Med. 2023 (Jun 19). Doi: 10.1136/bjsports-2021-104870

Key clinical point: High cardiorespiratory fitness (CRF) may prevent the development of breast cancer (BC) in postmenopausal women.

Major finding: Compared with women with low-to-moderate estimated CRF, those with high eCRF had 24% lower odds of developing BC (adjusted subdistribution hazard ratio 0.76; 95% CI 0.60-0.97).

Study details: This study used the UK Biobank data to evaluate 17,840 post-menopausal women who were free of cancer and were followed for 11 years, of which 529 women developed BC.

Disclosures: This project was funded in part by the Canadian Institutes of Health Research and discretionary funds held by JD Brooks. The authors declared no conflicts of interest.

Source: Christensen RAG et al. Association between estimated cardiorespiratory fitness and breast cancer: A prospective cohort study. Br J Sports Med. 2023 (Jun 19). Doi: 10.1136/bjsports-2021-104870

Key clinical point: Breast-conserving surgery (BCS) led to similar overall survival (OS) and better disease-specific survival (DSS) outcomes compared with mastectomy in patients with stage I/II adenoid cystic carcinoma of the breast (BACC).

Major finding: The 10-year OS rates were comparable between the BCS and mastectomy groups (P = .968), whereas DSS was significantly improved in patients who underwent BCS vs mastectomy (95% vs 89%; P = .002).

Study details: Findings are from an analysis of the Surveillance, Epidemiology, and End Results Program (SEER) including 583 patients with stage I/II BACC, of whom 386 patients underwent BCS and 197 patients underwent mastectomy.

Disclosures: This study was supported by various grants from the Science and Technology Department of Henan Province, China. The authors declared no conflicts of interest.

Source: Huang T et al. Optimal surgical procedure for treating early-stage adenoid cystic carcinoma of the breast. Sci Rep. 2023;13:10222 (Jun 23). Doi: 10.1038/s41598-023-36644-w

Key clinical point: Breast-conserving surgery (BCS) led to similar overall survival (OS) and better disease-specific survival (DSS) outcomes compared with mastectomy in patients with stage I/II adenoid cystic carcinoma of the breast (BACC).

Major finding: The 10-year OS rates were comparable between the BCS and mastectomy groups (P = .968), whereas DSS was significantly improved in patients who underwent BCS vs mastectomy (95% vs 89%; P = .002).

Study details: Findings are from an analysis of the Surveillance, Epidemiology, and End Results Program (SEER) including 583 patients with stage I/II BACC, of whom 386 patients underwent BCS and 197 patients underwent mastectomy.

Disclosures: This study was supported by various grants from the Science and Technology Department of Henan Province, China. The authors declared no conflicts of interest.

Source: Huang T et al. Optimal surgical procedure for treating early-stage adenoid cystic carcinoma of the breast. Sci Rep. 2023;13:10222 (Jun 23). Doi: 10.1038/s41598-023-36644-w

Key clinical point: Breast-conserving surgery (BCS) led to similar overall survival (OS) and better disease-specific survival (DSS) outcomes compared with mastectomy in patients with stage I/II adenoid cystic carcinoma of the breast (BACC).

Major finding: The 10-year OS rates were comparable between the BCS and mastectomy groups (P = .968), whereas DSS was significantly improved in patients who underwent BCS vs mastectomy (95% vs 89%; P = .002).

Study details: Findings are from an analysis of the Surveillance, Epidemiology, and End Results Program (SEER) including 583 patients with stage I/II BACC, of whom 386 patients underwent BCS and 197 patients underwent mastectomy.

Disclosures: This study was supported by various grants from the Science and Technology Department of Henan Province, China. The authors declared no conflicts of interest.

Source: Huang T et al. Optimal surgical procedure for treating early-stage adenoid cystic carcinoma of the breast. Sci Rep. 2023;13:10222 (Jun 23). Doi: 10.1038/s41598-023-36644-w

Key clinical point: Adherence and persistence to adjuvant hormone therapy was associated with improved survival outcomes in older women with hormone receptor-positive (HR+) breast cancer (BC).

Major finding: The risk for all-cause mortality reduced by 25% in patients with vs without cumulative adherence to hormone therapy (hazard ratio [HR] 0.75; P < .001) and decreased by 11% for every 1-year increase in persistence (HR 0.89; P < .001). Each 1-year increase in persistence to hormone therapy also significantly improved breast cancer-specific mortality (HR 0.63; P < .001).

Study details: Findings are from a retrospective analysis of the Surveillance, Epidemiology, and End Results (SEER) data linked with US Medicare claims that included 25,796 older women with HR+ BC who were ≥66 years old and received adjuvant hormone therapy.

Disclosures: This study was partly supported by a grant from the Lilly Endowment, Inc. The authors declared no conflicts of interest.

Source: Zheng D and Thomas J 3rd. Survival benefits associated with being adherent and having longer persistence to adjuvant hormone therapy across up to five years among U.S. Medicare population with breast cancer. Breast Cancer Res Treat. 2023;201:89-104 (Jun 16). Doi: 10.1007/s10549-023-06992-2

Key clinical point: Adherence and persistence to adjuvant hormone therapy was associated with improved survival outcomes in older women with hormone receptor-positive (HR+) breast cancer (BC).

Major finding: The risk for all-cause mortality reduced by 25% in patients with vs without cumulative adherence to hormone therapy (hazard ratio [HR] 0.75; P < .001) and decreased by 11% for every 1-year increase in persistence (HR 0.89; P < .001). Each 1-year increase in persistence to hormone therapy also significantly improved breast cancer-specific mortality (HR 0.63; P < .001).

Study details: Findings are from a retrospective analysis of the Surveillance, Epidemiology, and End Results (SEER) data linked with US Medicare claims that included 25,796 older women with HR+ BC who were ≥66 years old and received adjuvant hormone therapy.

Disclosures: This study was partly supported by a grant from the Lilly Endowment, Inc. The authors declared no conflicts of interest.

Source: Zheng D and Thomas J 3rd. Survival benefits associated with being adherent and having longer persistence to adjuvant hormone therapy across up to five years among U.S. Medicare population with breast cancer. Breast Cancer Res Treat. 2023;201:89-104 (Jun 16). Doi: 10.1007/s10549-023-06992-2

Key clinical point: Adherence and persistence to adjuvant hormone therapy was associated with improved survival outcomes in older women with hormone receptor-positive (HR+) breast cancer (BC).

Major finding: The risk for all-cause mortality reduced by 25% in patients with vs without cumulative adherence to hormone therapy (hazard ratio [HR] 0.75; P < .001) and decreased by 11% for every 1-year increase in persistence (HR 0.89; P < .001). Each 1-year increase in persistence to hormone therapy also significantly improved breast cancer-specific mortality (HR 0.63; P < .001).

Study details: Findings are from a retrospective analysis of the Surveillance, Epidemiology, and End Results (SEER) data linked with US Medicare claims that included 25,796 older women with HR+ BC who were ≥66 years old and received adjuvant hormone therapy.

Disclosures: This study was partly supported by a grant from the Lilly Endowment, Inc. The authors declared no conflicts of interest.

Source: Zheng D and Thomas J 3rd. Survival benefits associated with being adherent and having longer persistence to adjuvant hormone therapy across up to five years among U.S. Medicare population with breast cancer. Breast Cancer Res Treat. 2023;201:89-104 (Jun 16). Doi: 10.1007/s10549-023-06992-2