Lung Cancer

Patients with metastatic or advanced cancer treated in practices that have high rates of giving systemic care in the last two weeks of life do not have longer survival rates than patients in practices that have low rates of such care.

This conclusion of a new study published online May 16 in JAMA Oncology may help reassure oncologists that giving systemic anticancer therapy (SACT) at the most advanced stages of cancer will not improve the patient’s life, the authors wrote. It also may encourage them to instead focus more on honest communication with patients about their choices, Maureen E. Canavan, PhD, at the Cancer and Outcomes, Public Policy and Effectiveness Research (COPPER) Center at the Yale School of Medicine in New Haven, Connecticut, and colleagues, wrote in their paper.
 

How Was the Study Conducted?

Researchers used Flatiron Health, a nationwide electronic health records database of academic and community practices throughout the United State. They identified 78,446 adults with advanced or metastatic stages of one of six common cancers (breast, colorectal, urothelial, non–small cell lung cancer [NSCLC], pancreatic and renal cell carcinoma) who were treated at healthcare practices from 2015 to 2019. They then stratified practices into quintiles based on how often the practices treated patients with any systemic therapy, including chemotherapy and immunotherapy, in their last 14 days of life. They compared whether patients in practices with greater use of systemic treatment at very advanced stages had longer overall survival.

What Were the Main Findings?

“We saw that there were absolutely no survival differences between the practices that used more systemic therapy for very advanced cancer than the practices that use less,” said senior author Kerin Adelson, MD, chief quality and value officer at MD Anderson Cancer Center in Houston, Texas. In some cancers, those in the lowest quintile (those with the lowest rates of systemic end-of-life care) lived fewer years compared with those in the highest quintiles. In other cancers, those in the lowest quintiles lived more years than those in the highest quintiles.

“What’s important is that none of those differences, after you control for other factors, was statistically significant,” Dr. Adelson said. “That was the same in every cancer type we looked at.”

An example is seen in advanced urothelial cancer. Those in the first quintile (lowest rates of systemic care at end of life) had an SACT rate range of 4.0-9.1. The SACT rate range in the highest quintile was 19.8-42.6. But the median overall survival (OS) rate for those in the lowest quintile was 12.7 months, not statistically different from the median OS in the highest quintile (11 months.)
 

How Does This Study Add to the Literature?

The American Society of Clinical Oncology (ASCO) and the National Quality Forum (NQF) developed a cancer quality metric to reduce SACT at the end of life. The NQF 0210 is a ratio of patients who get systemic treatment within 14 days of death over all patients who die of cancer. The quality metric has been widely adopted and used in value-based care reporting.

But the metric has been criticized because it focuses only on people who died and not people who lived longer because they benefited from the systemic therapy, the authors wrote.

Dr. Canavan’s team focused on all patients treated in the practice, not just those who died, Dr. Adelson said. This may put that criticism to rest, Dr. Adelson said.

“I personally believed the ASCO and NQF metric was appropriate and the criticisms were off base,” said Otis Brawley, MD, associate director of community outreach and engagement at the Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins University School of Medicine in Baltimore. “Canavan’s study is evidence suggesting the metrics were appropriate.”

This study included not just chemotherapy, as some other studies have, but targeted therapies and immunotherapies as well. Dr. Adelson said some think that the newer drugs might change the prognosis at end of life. But this study shows “even those drugs are not helping patients to survive with very advanced cancer,” she said.

 

Could This Change Practice?

The authors noted that end-of life SACT has been linked with more acute care use, delays in conversations about care goals, late enrollment in hospice, higher costs, and potentially shorter and poorer quality life.

Dr. Adelson said she’s hoping that the knowledge that there’s no survival benefit for use of SACT for patients with advanced solid tumors who are nearing the end of life will lead instead to more conversations about prognosis with patients and transitions to palliative care.

“Palliative care has actually been shown to improve quality of life and, in some studies, even survival,” she said.

“I doubt it will change practice, but it should,” Dr. Brawley said. “The study suggests that doctors and patients have too much hope for chemotherapy as patients’ disease progresses. In the US especially, there is a tendency to believe we have better therapies than we truly do and we have difficulty accepting that the patient is dying. Many patients get third- and fourth-line chemotherapy that is highly likely to increase suffering without realistic hope of prolonging life and especially no hope of prolonging life with good quality.”

Dr. Adelson disclosed ties with AbbVie, Quantum Health, Gilead, ParetoHealth, and Carrum Health. Various coauthors disclosed ties with Roche, AbbVie, Johnson & Johnson, Genentech, the National Comprehensive Cancer Network, and AstraZeneca. The study was funded by Flatiron Health, an independent member of the Roche group. Dr. Brawley reports no relevant financial disclosures.

Patients with metastatic or advanced cancer treated in practices that have high rates of giving systemic care in the last two weeks of life do not have longer survival rates than patients in practices that have low rates of such care.

This conclusion of a new study published online May 16 in JAMA Oncology may help reassure oncologists that giving systemic anticancer therapy (SACT) at the most advanced stages of cancer will not improve the patient’s life, the authors wrote. It also may encourage them to instead focus more on honest communication with patients about their choices, Maureen E. Canavan, PhD, at the Cancer and Outcomes, Public Policy and Effectiveness Research (COPPER) Center at the Yale School of Medicine in New Haven, Connecticut, and colleagues, wrote in their paper.
 

How Was the Study Conducted?

Researchers used Flatiron Health, a nationwide electronic health records database of academic and community practices throughout the United State. They identified 78,446 adults with advanced or metastatic stages of one of six common cancers (breast, colorectal, urothelial, non–small cell lung cancer [NSCLC], pancreatic and renal cell carcinoma) who were treated at healthcare practices from 2015 to 2019. They then stratified practices into quintiles based on how often the practices treated patients with any systemic therapy, including chemotherapy and immunotherapy, in their last 14 days of life. They compared whether patients in practices with greater use of systemic treatment at very advanced stages had longer overall survival.

What Were the Main Findings?

“We saw that there were absolutely no survival differences between the practices that used more systemic therapy for very advanced cancer than the practices that use less,” said senior author Kerin Adelson, MD, chief quality and value officer at MD Anderson Cancer Center in Houston, Texas. In some cancers, those in the lowest quintile (those with the lowest rates of systemic end-of-life care) lived fewer years compared with those in the highest quintiles. In other cancers, those in the lowest quintiles lived more years than those in the highest quintiles.

“What’s important is that none of those differences, after you control for other factors, was statistically significant,” Dr. Adelson said. “That was the same in every cancer type we looked at.”

An example is seen in advanced urothelial cancer. Those in the first quintile (lowest rates of systemic care at end of life) had an SACT rate range of 4.0-9.1. The SACT rate range in the highest quintile was 19.8-42.6. But the median overall survival (OS) rate for those in the lowest quintile was 12.7 months, not statistically different from the median OS in the highest quintile (11 months.)
 

How Does This Study Add to the Literature?

The American Society of Clinical Oncology (ASCO) and the National Quality Forum (NQF) developed a cancer quality metric to reduce SACT at the end of life. The NQF 0210 is a ratio of patients who get systemic treatment within 14 days of death over all patients who die of cancer. The quality metric has been widely adopted and used in value-based care reporting.

But the metric has been criticized because it focuses only on people who died and not people who lived longer because they benefited from the systemic therapy, the authors wrote.

Dr. Canavan’s team focused on all patients treated in the practice, not just those who died, Dr. Adelson said. This may put that criticism to rest, Dr. Adelson said.

“I personally believed the ASCO and NQF metric was appropriate and the criticisms were off base,” said Otis Brawley, MD, associate director of community outreach and engagement at the Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins University School of Medicine in Baltimore. “Canavan’s study is evidence suggesting the metrics were appropriate.”

This study included not just chemotherapy, as some other studies have, but targeted therapies and immunotherapies as well. Dr. Adelson said some think that the newer drugs might change the prognosis at end of life. But this study shows “even those drugs are not helping patients to survive with very advanced cancer,” she said.

 

Could This Change Practice?

The authors noted that end-of life SACT has been linked with more acute care use, delays in conversations about care goals, late enrollment in hospice, higher costs, and potentially shorter and poorer quality life.

Dr. Adelson said she’s hoping that the knowledge that there’s no survival benefit for use of SACT for patients with advanced solid tumors who are nearing the end of life will lead instead to more conversations about prognosis with patients and transitions to palliative care.

“Palliative care has actually been shown to improve quality of life and, in some studies, even survival,” she said.

“I doubt it will change practice, but it should,” Dr. Brawley said. “The study suggests that doctors and patients have too much hope for chemotherapy as patients’ disease progresses. In the US especially, there is a tendency to believe we have better therapies than we truly do and we have difficulty accepting that the patient is dying. Many patients get third- and fourth-line chemotherapy that is highly likely to increase suffering without realistic hope of prolonging life and especially no hope of prolonging life with good quality.”

Dr. Adelson disclosed ties with AbbVie, Quantum Health, Gilead, ParetoHealth, and Carrum Health. Various coauthors disclosed ties with Roche, AbbVie, Johnson & Johnson, Genentech, the National Comprehensive Cancer Network, and AstraZeneca. The study was funded by Flatiron Health, an independent member of the Roche group. Dr. Brawley reports no relevant financial disclosures.

Patients with metastatic or advanced cancer treated in practices that have high rates of giving systemic care in the last two weeks of life do not have longer survival rates than patients in practices that have low rates of such care.

This conclusion of a new study published online May 16 in JAMA Oncology may help reassure oncologists that giving systemic anticancer therapy (SACT) at the most advanced stages of cancer will not improve the patient’s life, the authors wrote. It also may encourage them to instead focus more on honest communication with patients about their choices, Maureen E. Canavan, PhD, at the Cancer and Outcomes, Public Policy and Effectiveness Research (COPPER) Center at the Yale School of Medicine in New Haven, Connecticut, and colleagues, wrote in their paper.
 

How Was the Study Conducted?

Researchers used Flatiron Health, a nationwide electronic health records database of academic and community practices throughout the United State. They identified 78,446 adults with advanced or metastatic stages of one of six common cancers (breast, colorectal, urothelial, non–small cell lung cancer [NSCLC], pancreatic and renal cell carcinoma) who were treated at healthcare practices from 2015 to 2019. They then stratified practices into quintiles based on how often the practices treated patients with any systemic therapy, including chemotherapy and immunotherapy, in their last 14 days of life. They compared whether patients in practices with greater use of systemic treatment at very advanced stages had longer overall survival.

What Were the Main Findings?

“We saw that there were absolutely no survival differences between the practices that used more systemic therapy for very advanced cancer than the practices that use less,” said senior author Kerin Adelson, MD, chief quality and value officer at MD Anderson Cancer Center in Houston, Texas. In some cancers, those in the lowest quintile (those with the lowest rates of systemic end-of-life care) lived fewer years compared with those in the highest quintiles. In other cancers, those in the lowest quintiles lived more years than those in the highest quintiles.

“What’s important is that none of those differences, after you control for other factors, was statistically significant,” Dr. Adelson said. “That was the same in every cancer type we looked at.”

An example is seen in advanced urothelial cancer. Those in the first quintile (lowest rates of systemic care at end of life) had an SACT rate range of 4.0-9.1. The SACT rate range in the highest quintile was 19.8-42.6. But the median overall survival (OS) rate for those in the lowest quintile was 12.7 months, not statistically different from the median OS in the highest quintile (11 months.)
 

How Does This Study Add to the Literature?

The American Society of Clinical Oncology (ASCO) and the National Quality Forum (NQF) developed a cancer quality metric to reduce SACT at the end of life. The NQF 0210 is a ratio of patients who get systemic treatment within 14 days of death over all patients who die of cancer. The quality metric has been widely adopted and used in value-based care reporting.

But the metric has been criticized because it focuses only on people who died and not people who lived longer because they benefited from the systemic therapy, the authors wrote.

Dr. Canavan’s team focused on all patients treated in the practice, not just those who died, Dr. Adelson said. This may put that criticism to rest, Dr. Adelson said.

“I personally believed the ASCO and NQF metric was appropriate and the criticisms were off base,” said Otis Brawley, MD, associate director of community outreach and engagement at the Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins University School of Medicine in Baltimore. “Canavan’s study is evidence suggesting the metrics were appropriate.”

This study included not just chemotherapy, as some other studies have, but targeted therapies and immunotherapies as well. Dr. Adelson said some think that the newer drugs might change the prognosis at end of life. But this study shows “even those drugs are not helping patients to survive with very advanced cancer,” she said.

 

Could This Change Practice?

The authors noted that end-of life SACT has been linked with more acute care use, delays in conversations about care goals, late enrollment in hospice, higher costs, and potentially shorter and poorer quality life.

Dr. Adelson said she’s hoping that the knowledge that there’s no survival benefit for use of SACT for patients with advanced solid tumors who are nearing the end of life will lead instead to more conversations about prognosis with patients and transitions to palliative care.

“Palliative care has actually been shown to improve quality of life and, in some studies, even survival,” she said.

“I doubt it will change practice, but it should,” Dr. Brawley said. “The study suggests that doctors and patients have too much hope for chemotherapy as patients’ disease progresses. In the US especially, there is a tendency to believe we have better therapies than we truly do and we have difficulty accepting that the patient is dying. Many patients get third- and fourth-line chemotherapy that is highly likely to increase suffering without realistic hope of prolonging life and especially no hope of prolonging life with good quality.”

Dr. Adelson disclosed ties with AbbVie, Quantum Health, Gilead, ParetoHealth, and Carrum Health. Various coauthors disclosed ties with Roche, AbbVie, Johnson & Johnson, Genentech, the National Comprehensive Cancer Network, and AstraZeneca. The study was funded by Flatiron Health, an independent member of the Roche group. Dr. Brawley reports no relevant financial disclosures.

The next frontier in cancer detection could be the humble urine test.

Emerging science suggests that the body’s “liquid gold” could be particularly useful for liquid biopsies, offering a convenient, pain-free, and cost-effective way to spot otherwise hard-to-detect cancers.

“The search for cancer biomarkers that can be detected in urine could provide an enormous step forward to decrease cancer patient mortality,” said Kenneth R. Shroyer, MD, PhD, a pathologist at Stony Brook University, Stony Brook, New York, who studies cancer biomarkers.

Physicians have long known that urine can reveal a lot about our health — that’s why urinalysis has been part of medicine for 6000 years. Urine tests can detect diabetes, pregnancy, drug use, and urinary or kidney conditions.

But other conditions leave clues in urine, too, and cancer may be one of the most promising. “Urine testing could detect biomarkers of early-stage cancers, not only from local but also distant sites,” Dr. Shroyer said. It could also help flag recurrence in cancer survivors who have undergone treatment.

Granted, cancer biomarkers in urine are not nearly as widely studied as those in the blood, Dr. Shroyer noted. But a new wave of urine tests suggests research is gaining pace.

“The recent availability of high-throughput screening technologies has enabled researchers to investigate cancer from a top-down, comprehensive approach,” said Pak Kin Wong, PhD, professor of mechanical engineering, biomedical engineering, and surgery at The Pennsylvania State University. “We are starting to understand the rich information that can be obtained from urine.”

Urine is mostly water (about 95%) and urea, a metabolic byproduct that imparts that signature yellow color (about 2%). The other 3% is a mix of waste products, minerals, and other compounds the kidneys removed from the blood. Even in trace amounts, these substances say a lot.

Among them are “exfoliated cancer cells, cell-free DNA, hormones, and the urine microbiota — the collection of microbes in our urinary tract system,” Dr. Wong said.

“It is highly promising to be one of the major biological fluids used for screening, diagnosis, prognosis, and monitoring treatment efficiency in the era of precision medicine,” Dr. Wong said.

How Urine Testing Could Reveal Cancer

Still, as exciting as the prospect is, there’s a lot to consider in the hunt for cancer biomarkers in urine. These biomarkers must be able to pass through the renal nephrons (filtering units), remain stable in urine, and have high-level sensitivity, Dr. Shroyer said. They should also have high specificity for cancer vs benign conditions and be expressed at early stages, before the primary tumor has spread.

“At this stage, few circulating biomarkers have been found that are both sensitive and specific for early-stage disease,” said Dr. Shroyer.

But there are a few promising examples under investigation in humans:

Prostate cancer. Researchers at the University of Michigan have developed a urine test that detects high-grade prostate cancer more accurately than existing tests, including PHI, SelectMDx, 4Kscore, EPI, MPS, and IsoPSA.

The MyProstateScore 2.0 (MPS2) test, which looks for 18 genes associated with high-grade tumors, could reduce unnecessary biopsies in men with elevated prostate-specific antigen levels, according to a paper published in JAMA Oncology.

It makes sense. The prostate gland secretes fluid that becomes part of the semen, traces of which enter urine. After a digital rectal exam, even more prostate fluid enters the urine. If a patient has prostate cancer, genetic material from the cancer cells will infiltrate the urine.

In the MPS2 test, researchers used polymerase chain reaction (PCR) testing in urine. “The technology used for COVID PCR is essentially the same as the PCR used to detect transcripts associated with high-grade prostate cancer in urine,” said study author Arul Chinnaiyan, MD, PhD, director of the Michigan Center for Translational Pathology at the University of Michigan, Ann Arbor. “In the case of the MPS2 test, we are doing PCR on 18 genes simultaneously on urine samples.”

A statistical model uses levels of that genetic material to predict the risk for high-grade disease, helping doctors decide what to do next. At 95% sensitivity, the MPS2 model could eliminate 35%-45% of unnecessary biopsies, compared with 15%-30% for the other tests, and reduce repeat biopsies by 46%-51%, compared with 9%-21% for the other tests.

Head and neck cancer. In a paper published in JCI Insight, researchers described a test that finds ultra-short fragments of DNA in urine to enable early detection of head and neck cancers caused by human papillomavirus.

“Our data show that a relatively small volume of urine (30-60 mL) gives overall detection results comparable to a tube of blood,” said study author Muneesh Tewari, MD, PhD, professor of hematology and oncology at the University of Michigan .

A larger volume of urine could potentially “make cancer detection even more sensitive than blood,” Dr. Tewari said, “allowing cancers to be detected at the earliest stages when they are more curable.”

The team used a technique called droplet digital PCR to detect DNA fragments that are “ultra-short” (less than 50 base pairs long) and usually missed by conventional PCR testing. This transrenal cell-free tumor DNA, which travels from the tumor into the bloodstream, is broken down small enough to pass through the kidneys and into the urine. But the fragments are still long enough to carry information about the tumor’s genetic signature.

This test could spot cancer before a tumor grows big enough — about a centimeter wide and carrying a billion cells — to spot on a CT scan or other imaging test. “When we are instead detecting fragments of DNA released from a tumor,” said Dr. Tewari, “our testing methods are very sensitive and can detect DNA in urine that came from just 5-10 cells in a tumor that died and released their DNA into the blood, which then made its way into the urine.”

Pancreatic cancer. Pancreatic ductal adenocarcinoma is one of the deadliest cancers, largely because it is diagnosed so late. A urine panel now in clinical trials could help doctors diagnose the cancer before it has spread so more people can have the tumor surgically removed, improving prognosis.

Using enzyme-linked immunosorbent assay test, a common lab method that detects antibodies and other proteins, the team measured expression levels for three genes (LYVE1, REG1B, and TFF1) in urine samples collected from people up to 5 years before they were diagnosed with pancreatic cancer. The researchers combined this result with patients’ urinary creatinine levels, a common component of existing urinalysis, and their age to develop a risk score.

This score performed similarly to an existing blood test, CA19-9, in predicting patients’ risk for pancreatic cancer up to 1 year before diagnosis. When combined with CA19-9, the urinary panel helped spot cancer up to 2 years before diagnosis.

According to a paper in the International Journal of Cancer, “the urine panel and affiliated PancRISK are currently being validated in a prospective clinical study (UroPanc).” If all goes well, they could be implemented in clinical practice in a few years as a “noninvasive stratification tool” to identify patients for further testing, speeding up diagnosis, and saving lives.

Limitations and Promises

Each cancer type is different, and more research is needed to map out which substances in urine predict which cancers and to develop tests for mass adoption. “There are medical and technological hurdles to the large-scale implementation of urine analysis for complex diseases such as cancer,” said Dr. Wong.

One possibility: Scientists and clinicians could collaborate and use artificial intelligence techniques to combine urine test results with other data.

“It is likely that future diagnostics may combine urine with other biological samples such as feces and saliva, among others,” said Dr. Wong. “This is especially true when novel data science and machine learning techniques can integrate comprehensive data from patients that span genetic, proteomic, metabolic, microbiomic, and even behavioral data to evaluate a patient’s condition.”

One thing that excites Dr. Tewari about urine-based cancer testing: “We think it could be especially impactful for patients living in rural areas or other areas with less access to healthcare services,” he said.
 

A version of this article appeared on Medscape.com.

The next frontier in cancer detection could be the humble urine test.

Emerging science suggests that the body’s “liquid gold” could be particularly useful for liquid biopsies, offering a convenient, pain-free, and cost-effective way to spot otherwise hard-to-detect cancers.

“The search for cancer biomarkers that can be detected in urine could provide an enormous step forward to decrease cancer patient mortality,” said Kenneth R. Shroyer, MD, PhD, a pathologist at Stony Brook University, Stony Brook, New York, who studies cancer biomarkers.

Physicians have long known that urine can reveal a lot about our health — that’s why urinalysis has been part of medicine for 6000 years. Urine tests can detect diabetes, pregnancy, drug use, and urinary or kidney conditions.

But other conditions leave clues in urine, too, and cancer may be one of the most promising. “Urine testing could detect biomarkers of early-stage cancers, not only from local but also distant sites,” Dr. Shroyer said. It could also help flag recurrence in cancer survivors who have undergone treatment.

Granted, cancer biomarkers in urine are not nearly as widely studied as those in the blood, Dr. Shroyer noted. But a new wave of urine tests suggests research is gaining pace.

“The recent availability of high-throughput screening technologies has enabled researchers to investigate cancer from a top-down, comprehensive approach,” said Pak Kin Wong, PhD, professor of mechanical engineering, biomedical engineering, and surgery at The Pennsylvania State University. “We are starting to understand the rich information that can be obtained from urine.”

Urine is mostly water (about 95%) and urea, a metabolic byproduct that imparts that signature yellow color (about 2%). The other 3% is a mix of waste products, minerals, and other compounds the kidneys removed from the blood. Even in trace amounts, these substances say a lot.

Among them are “exfoliated cancer cells, cell-free DNA, hormones, and the urine microbiota — the collection of microbes in our urinary tract system,” Dr. Wong said.

“It is highly promising to be one of the major biological fluids used for screening, diagnosis, prognosis, and monitoring treatment efficiency in the era of precision medicine,” Dr. Wong said.

How Urine Testing Could Reveal Cancer

Still, as exciting as the prospect is, there’s a lot to consider in the hunt for cancer biomarkers in urine. These biomarkers must be able to pass through the renal nephrons (filtering units), remain stable in urine, and have high-level sensitivity, Dr. Shroyer said. They should also have high specificity for cancer vs benign conditions and be expressed at early stages, before the primary tumor has spread.

“At this stage, few circulating biomarkers have been found that are both sensitive and specific for early-stage disease,” said Dr. Shroyer.

But there are a few promising examples under investigation in humans:

Prostate cancer. Researchers at the University of Michigan have developed a urine test that detects high-grade prostate cancer more accurately than existing tests, including PHI, SelectMDx, 4Kscore, EPI, MPS, and IsoPSA.

The MyProstateScore 2.0 (MPS2) test, which looks for 18 genes associated with high-grade tumors, could reduce unnecessary biopsies in men with elevated prostate-specific antigen levels, according to a paper published in JAMA Oncology.

It makes sense. The prostate gland secretes fluid that becomes part of the semen, traces of which enter urine. After a digital rectal exam, even more prostate fluid enters the urine. If a patient has prostate cancer, genetic material from the cancer cells will infiltrate the urine.

In the MPS2 test, researchers used polymerase chain reaction (PCR) testing in urine. “The technology used for COVID PCR is essentially the same as the PCR used to detect transcripts associated with high-grade prostate cancer in urine,” said study author Arul Chinnaiyan, MD, PhD, director of the Michigan Center for Translational Pathology at the University of Michigan, Ann Arbor. “In the case of the MPS2 test, we are doing PCR on 18 genes simultaneously on urine samples.”

A statistical model uses levels of that genetic material to predict the risk for high-grade disease, helping doctors decide what to do next. At 95% sensitivity, the MPS2 model could eliminate 35%-45% of unnecessary biopsies, compared with 15%-30% for the other tests, and reduce repeat biopsies by 46%-51%, compared with 9%-21% for the other tests.

Head and neck cancer. In a paper published in JCI Insight, researchers described a test that finds ultra-short fragments of DNA in urine to enable early detection of head and neck cancers caused by human papillomavirus.

“Our data show that a relatively small volume of urine (30-60 mL) gives overall detection results comparable to a tube of blood,” said study author Muneesh Tewari, MD, PhD, professor of hematology and oncology at the University of Michigan .

A larger volume of urine could potentially “make cancer detection even more sensitive than blood,” Dr. Tewari said, “allowing cancers to be detected at the earliest stages when they are more curable.”

The team used a technique called droplet digital PCR to detect DNA fragments that are “ultra-short” (less than 50 base pairs long) and usually missed by conventional PCR testing. This transrenal cell-free tumor DNA, which travels from the tumor into the bloodstream, is broken down small enough to pass through the kidneys and into the urine. But the fragments are still long enough to carry information about the tumor’s genetic signature.

This test could spot cancer before a tumor grows big enough — about a centimeter wide and carrying a billion cells — to spot on a CT scan or other imaging test. “When we are instead detecting fragments of DNA released from a tumor,” said Dr. Tewari, “our testing methods are very sensitive and can detect DNA in urine that came from just 5-10 cells in a tumor that died and released their DNA into the blood, which then made its way into the urine.”

Pancreatic cancer. Pancreatic ductal adenocarcinoma is one of the deadliest cancers, largely because it is diagnosed so late. A urine panel now in clinical trials could help doctors diagnose the cancer before it has spread so more people can have the tumor surgically removed, improving prognosis.

Using enzyme-linked immunosorbent assay test, a common lab method that detects antibodies and other proteins, the team measured expression levels for three genes (LYVE1, REG1B, and TFF1) in urine samples collected from people up to 5 years before they were diagnosed with pancreatic cancer. The researchers combined this result with patients’ urinary creatinine levels, a common component of existing urinalysis, and their age to develop a risk score.

This score performed similarly to an existing blood test, CA19-9, in predicting patients’ risk for pancreatic cancer up to 1 year before diagnosis. When combined with CA19-9, the urinary panel helped spot cancer up to 2 years before diagnosis.

According to a paper in the International Journal of Cancer, “the urine panel and affiliated PancRISK are currently being validated in a prospective clinical study (UroPanc).” If all goes well, they could be implemented in clinical practice in a few years as a “noninvasive stratification tool” to identify patients for further testing, speeding up diagnosis, and saving lives.

Limitations and Promises

Each cancer type is different, and more research is needed to map out which substances in urine predict which cancers and to develop tests for mass adoption. “There are medical and technological hurdles to the large-scale implementation of urine analysis for complex diseases such as cancer,” said Dr. Wong.

One possibility: Scientists and clinicians could collaborate and use artificial intelligence techniques to combine urine test results with other data.

“It is likely that future diagnostics may combine urine with other biological samples such as feces and saliva, among others,” said Dr. Wong. “This is especially true when novel data science and machine learning techniques can integrate comprehensive data from patients that span genetic, proteomic, metabolic, microbiomic, and even behavioral data to evaluate a patient’s condition.”

One thing that excites Dr. Tewari about urine-based cancer testing: “We think it could be especially impactful for patients living in rural areas or other areas with less access to healthcare services,” he said.
 

A version of this article appeared on Medscape.com.

The next frontier in cancer detection could be the humble urine test.

Emerging science suggests that the body’s “liquid gold” could be particularly useful for liquid biopsies, offering a convenient, pain-free, and cost-effective way to spot otherwise hard-to-detect cancers.

“The search for cancer biomarkers that can be detected in urine could provide an enormous step forward to decrease cancer patient mortality,” said Kenneth R. Shroyer, MD, PhD, a pathologist at Stony Brook University, Stony Brook, New York, who studies cancer biomarkers.

Physicians have long known that urine can reveal a lot about our health — that’s why urinalysis has been part of medicine for 6000 years. Urine tests can detect diabetes, pregnancy, drug use, and urinary or kidney conditions.

But other conditions leave clues in urine, too, and cancer may be one of the most promising. “Urine testing could detect biomarkers of early-stage cancers, not only from local but also distant sites,” Dr. Shroyer said. It could also help flag recurrence in cancer survivors who have undergone treatment.

Granted, cancer biomarkers in urine are not nearly as widely studied as those in the blood, Dr. Shroyer noted. But a new wave of urine tests suggests research is gaining pace.

“The recent availability of high-throughput screening technologies has enabled researchers to investigate cancer from a top-down, comprehensive approach,” said Pak Kin Wong, PhD, professor of mechanical engineering, biomedical engineering, and surgery at The Pennsylvania State University. “We are starting to understand the rich information that can be obtained from urine.”

Urine is mostly water (about 95%) and urea, a metabolic byproduct that imparts that signature yellow color (about 2%). The other 3% is a mix of waste products, minerals, and other compounds the kidneys removed from the blood. Even in trace amounts, these substances say a lot.

Among them are “exfoliated cancer cells, cell-free DNA, hormones, and the urine microbiota — the collection of microbes in our urinary tract system,” Dr. Wong said.

“It is highly promising to be one of the major biological fluids used for screening, diagnosis, prognosis, and monitoring treatment efficiency in the era of precision medicine,” Dr. Wong said.

How Urine Testing Could Reveal Cancer

Still, as exciting as the prospect is, there’s a lot to consider in the hunt for cancer biomarkers in urine. These biomarkers must be able to pass through the renal nephrons (filtering units), remain stable in urine, and have high-level sensitivity, Dr. Shroyer said. They should also have high specificity for cancer vs benign conditions and be expressed at early stages, before the primary tumor has spread.

“At this stage, few circulating biomarkers have been found that are both sensitive and specific for early-stage disease,” said Dr. Shroyer.

But there are a few promising examples under investigation in humans:

Prostate cancer. Researchers at the University of Michigan have developed a urine test that detects high-grade prostate cancer more accurately than existing tests, including PHI, SelectMDx, 4Kscore, EPI, MPS, and IsoPSA.

The MyProstateScore 2.0 (MPS2) test, which looks for 18 genes associated with high-grade tumors, could reduce unnecessary biopsies in men with elevated prostate-specific antigen levels, according to a paper published in JAMA Oncology.

It makes sense. The prostate gland secretes fluid that becomes part of the semen, traces of which enter urine. After a digital rectal exam, even more prostate fluid enters the urine. If a patient has prostate cancer, genetic material from the cancer cells will infiltrate the urine.

In the MPS2 test, researchers used polymerase chain reaction (PCR) testing in urine. “The technology used for COVID PCR is essentially the same as the PCR used to detect transcripts associated with high-grade prostate cancer in urine,” said study author Arul Chinnaiyan, MD, PhD, director of the Michigan Center for Translational Pathology at the University of Michigan, Ann Arbor. “In the case of the MPS2 test, we are doing PCR on 18 genes simultaneously on urine samples.”

A statistical model uses levels of that genetic material to predict the risk for high-grade disease, helping doctors decide what to do next. At 95% sensitivity, the MPS2 model could eliminate 35%-45% of unnecessary biopsies, compared with 15%-30% for the other tests, and reduce repeat biopsies by 46%-51%, compared with 9%-21% for the other tests.

Head and neck cancer. In a paper published in JCI Insight, researchers described a test that finds ultra-short fragments of DNA in urine to enable early detection of head and neck cancers caused by human papillomavirus.

“Our data show that a relatively small volume of urine (30-60 mL) gives overall detection results comparable to a tube of blood,” said study author Muneesh Tewari, MD, PhD, professor of hematology and oncology at the University of Michigan .

A larger volume of urine could potentially “make cancer detection even more sensitive than blood,” Dr. Tewari said, “allowing cancers to be detected at the earliest stages when they are more curable.”

The team used a technique called droplet digital PCR to detect DNA fragments that are “ultra-short” (less than 50 base pairs long) and usually missed by conventional PCR testing. This transrenal cell-free tumor DNA, which travels from the tumor into the bloodstream, is broken down small enough to pass through the kidneys and into the urine. But the fragments are still long enough to carry information about the tumor’s genetic signature.

This test could spot cancer before a tumor grows big enough — about a centimeter wide and carrying a billion cells — to spot on a CT scan or other imaging test. “When we are instead detecting fragments of DNA released from a tumor,” said Dr. Tewari, “our testing methods are very sensitive and can detect DNA in urine that came from just 5-10 cells in a tumor that died and released their DNA into the blood, which then made its way into the urine.”

Pancreatic cancer. Pancreatic ductal adenocarcinoma is one of the deadliest cancers, largely because it is diagnosed so late. A urine panel now in clinical trials could help doctors diagnose the cancer before it has spread so more people can have the tumor surgically removed, improving prognosis.

Using enzyme-linked immunosorbent assay test, a common lab method that detects antibodies and other proteins, the team measured expression levels for three genes (LYVE1, REG1B, and TFF1) in urine samples collected from people up to 5 years before they were diagnosed with pancreatic cancer. The researchers combined this result with patients’ urinary creatinine levels, a common component of existing urinalysis, and their age to develop a risk score.

This score performed similarly to an existing blood test, CA19-9, in predicting patients’ risk for pancreatic cancer up to 1 year before diagnosis. When combined with CA19-9, the urinary panel helped spot cancer up to 2 years before diagnosis.

According to a paper in the International Journal of Cancer, “the urine panel and affiliated PancRISK are currently being validated in a prospective clinical study (UroPanc).” If all goes well, they could be implemented in clinical practice in a few years as a “noninvasive stratification tool” to identify patients for further testing, speeding up diagnosis, and saving lives.

Limitations and Promises

Each cancer type is different, and more research is needed to map out which substances in urine predict which cancers and to develop tests for mass adoption. “There are medical and technological hurdles to the large-scale implementation of urine analysis for complex diseases such as cancer,” said Dr. Wong.

One possibility: Scientists and clinicians could collaborate and use artificial intelligence techniques to combine urine test results with other data.

“It is likely that future diagnostics may combine urine with other biological samples such as feces and saliva, among others,” said Dr. Wong. “This is especially true when novel data science and machine learning techniques can integrate comprehensive data from patients that span genetic, proteomic, metabolic, microbiomic, and even behavioral data to evaluate a patient’s condition.”

One thing that excites Dr. Tewari about urine-based cancer testing: “We think it could be especially impactful for patients living in rural areas or other areas with less access to healthcare services,” he said.
 

A version of this article appeared on Medscape.com.

For years, researchers and medical companies have explored low-field MRI systems (those with a magnetic field strength of less than 1 T) — searching for a feasible alternative to the loud, expensive machines requiring special rooms with shielding to block their powerful magnetic field.

Most low-field scanners in development are for brain scans only. In 2022, the US Food and Drug Administration (FDA) cleared the first portable MRI system — Hyperfine’s Swoop, designed for use at a patient’s bedside — for head and brain scans. But the technology has not been applied to whole-body MRI — until now.

In a new study published in Science, researchers from Hong Kong described a whole-body, ultra low–field MRI.

“This is a big breakthrough,” said Kevin Sheth, MD, director of the Yale Center for Brain & Mind Health, who was not involved in the study. “It is one of the first, if not the first, demonstrations of low-field MRI imaging for the entire body.”

The device uses a 0.05 T magnet — one sixtieth the magnetic field strength of the standard 3 T MRI model common in hospitals today, said lead author Ed Wu, PhD, professor of biomedical engineering at The University of Hong Kong.

Because the field strength is so low, no protective shielding is needed. Patients and bystanders can safely use smart phones . And the scanner is safe for patients with implanted devices, like a cochlear implant or pacemaker, or any metal on their body or clothes. No hearing protection is required, either, because the machine is so quiet.

If all goes well, the technology could be commercially available in as little as a few years, Dr. Wu said.

But first, funding and FDA approval would be needed. “A company is going to have to come along and say, ‘This looks fantastic. We’re going to commercialize this, and we’re going to go through this certification process,’ ” said Andrew Webb, PhD, professor of radiology and the founding director of the C.J. Gorter MRI Center at the Leiden University Medical Center, Leiden, the Netherlands. (Dr. Webb was not involved in the study.)
 

Improving Access to MRI

One hope for this technology is to bring MRI to more people worldwide. Africa has less than one MRI scanner per million residents, whereas the United States has about 40.

While a new 3 T machine can cost about $1 million, the low-field version is much cheaper — only about $22,000 in materials cost per scanner, according to Dr. Wu.

A low magnetic field means less electricity, too — the machine can be plugged into a standard wall outlet. And because a fully shielded room isn’t needed, that could save another $100,000 in materials, Dr. Webb said.

Its ease of use could improve accessibility in countries with limited training, Dr. Webb pointed out.

“To be a technician is 2-3 years training for a regular MRI machine, a lot of it to do safety, a lot of it to do very subtle planning,” said Webb. “These [low-field] systems are much simpler.”
 

Challenges and the Future

The prototype weighs about 1.5 tons or 3000 lb. (A 3 T MRI can weigh between 6 and 13 tons or 12,000 and 26,000 lb.) That might sound like a lot, but it’s comparable to a mobile CT scanner, which is designed to be moved from room to room. Plus, “its weight can be substantially reduced if further optimized,” Dr. Wu said.

One challenge with low-field MRIs is image quality, which tends to be not as clear and detailed as those from high-power machines. To address this, the research team used deep learning (artificial intelligence) to enhance the image quality. “Computing power and large-scale data underpin our success, which tackles the physics and math problems that are traditionally considered intractable in existing MRI methodology,” Dr. Wu said.

Dr. Webb said he was impressed by the image quality shown in the study. They “look much higher quality than you would expect from such a low-field system,” he said. Still, only healthy volunteers were scanned. The true test will be using it to view subtle pathologies, Dr. Webb said.

That’s what Dr. Wu and his team are working on now — taking scans to diagnose various medical conditions. His group’s brain-only version of the low-field MRI has been used for diagnosis, he noted.
 

A version of this article appeared on Medscape.com.

For years, researchers and medical companies have explored low-field MRI systems (those with a magnetic field strength of less than 1 T) — searching for a feasible alternative to the loud, expensive machines requiring special rooms with shielding to block their powerful magnetic field.

Most low-field scanners in development are for brain scans only. In 2022, the US Food and Drug Administration (FDA) cleared the first portable MRI system — Hyperfine’s Swoop, designed for use at a patient’s bedside — for head and brain scans. But the technology has not been applied to whole-body MRI — until now.

In a new study published in Science, researchers from Hong Kong described a whole-body, ultra low–field MRI.

“This is a big breakthrough,” said Kevin Sheth, MD, director of the Yale Center for Brain & Mind Health, who was not involved in the study. “It is one of the first, if not the first, demonstrations of low-field MRI imaging for the entire body.”

The device uses a 0.05 T magnet — one sixtieth the magnetic field strength of the standard 3 T MRI model common in hospitals today, said lead author Ed Wu, PhD, professor of biomedical engineering at The University of Hong Kong.

Because the field strength is so low, no protective shielding is needed. Patients and bystanders can safely use smart phones . And the scanner is safe for patients with implanted devices, like a cochlear implant or pacemaker, or any metal on their body or clothes. No hearing protection is required, either, because the machine is so quiet.

If all goes well, the technology could be commercially available in as little as a few years, Dr. Wu said.

But first, funding and FDA approval would be needed. “A company is going to have to come along and say, ‘This looks fantastic. We’re going to commercialize this, and we’re going to go through this certification process,’ ” said Andrew Webb, PhD, professor of radiology and the founding director of the C.J. Gorter MRI Center at the Leiden University Medical Center, Leiden, the Netherlands. (Dr. Webb was not involved in the study.)
 

Improving Access to MRI

One hope for this technology is to bring MRI to more people worldwide. Africa has less than one MRI scanner per million residents, whereas the United States has about 40.

While a new 3 T machine can cost about $1 million, the low-field version is much cheaper — only about $22,000 in materials cost per scanner, according to Dr. Wu.

A low magnetic field means less electricity, too — the machine can be plugged into a standard wall outlet. And because a fully shielded room isn’t needed, that could save another $100,000 in materials, Dr. Webb said.

Its ease of use could improve accessibility in countries with limited training, Dr. Webb pointed out.

“To be a technician is 2-3 years training for a regular MRI machine, a lot of it to do safety, a lot of it to do very subtle planning,” said Webb. “These [low-field] systems are much simpler.”
 

Challenges and the Future

The prototype weighs about 1.5 tons or 3000 lb. (A 3 T MRI can weigh between 6 and 13 tons or 12,000 and 26,000 lb.) That might sound like a lot, but it’s comparable to a mobile CT scanner, which is designed to be moved from room to room. Plus, “its weight can be substantially reduced if further optimized,” Dr. Wu said.

One challenge with low-field MRIs is image quality, which tends to be not as clear and detailed as those from high-power machines. To address this, the research team used deep learning (artificial intelligence) to enhance the image quality. “Computing power and large-scale data underpin our success, which tackles the physics and math problems that are traditionally considered intractable in existing MRI methodology,” Dr. Wu said.

Dr. Webb said he was impressed by the image quality shown in the study. They “look much higher quality than you would expect from such a low-field system,” he said. Still, only healthy volunteers were scanned. The true test will be using it to view subtle pathologies, Dr. Webb said.

That’s what Dr. Wu and his team are working on now — taking scans to diagnose various medical conditions. His group’s brain-only version of the low-field MRI has been used for diagnosis, he noted.
 

A version of this article appeared on Medscape.com.

For years, researchers and medical companies have explored low-field MRI systems (those with a magnetic field strength of less than 1 T) — searching for a feasible alternative to the loud, expensive machines requiring special rooms with shielding to block their powerful magnetic field.

Most low-field scanners in development are for brain scans only. In 2022, the US Food and Drug Administration (FDA) cleared the first portable MRI system — Hyperfine’s Swoop, designed for use at a patient’s bedside — for head and brain scans. But the technology has not been applied to whole-body MRI — until now.

In a new study published in Science, researchers from Hong Kong described a whole-body, ultra low–field MRI.

“This is a big breakthrough,” said Kevin Sheth, MD, director of the Yale Center for Brain & Mind Health, who was not involved in the study. “It is one of the first, if not the first, demonstrations of low-field MRI imaging for the entire body.”

The device uses a 0.05 T magnet — one sixtieth the magnetic field strength of the standard 3 T MRI model common in hospitals today, said lead author Ed Wu, PhD, professor of biomedical engineering at The University of Hong Kong.

Because the field strength is so low, no protective shielding is needed. Patients and bystanders can safely use smart phones . And the scanner is safe for patients with implanted devices, like a cochlear implant or pacemaker, or any metal on their body or clothes. No hearing protection is required, either, because the machine is so quiet.

If all goes well, the technology could be commercially available in as little as a few years, Dr. Wu said.

But first, funding and FDA approval would be needed. “A company is going to have to come along and say, ‘This looks fantastic. We’re going to commercialize this, and we’re going to go through this certification process,’ ” said Andrew Webb, PhD, professor of radiology and the founding director of the C.J. Gorter MRI Center at the Leiden University Medical Center, Leiden, the Netherlands. (Dr. Webb was not involved in the study.)
 

Improving Access to MRI

One hope for this technology is to bring MRI to more people worldwide. Africa has less than one MRI scanner per million residents, whereas the United States has about 40.

While a new 3 T machine can cost about $1 million, the low-field version is much cheaper — only about $22,000 in materials cost per scanner, according to Dr. Wu.

A low magnetic field means less electricity, too — the machine can be plugged into a standard wall outlet. And because a fully shielded room isn’t needed, that could save another $100,000 in materials, Dr. Webb said.

Its ease of use could improve accessibility in countries with limited training, Dr. Webb pointed out.

“To be a technician is 2-3 years training for a regular MRI machine, a lot of it to do safety, a lot of it to do very subtle planning,” said Webb. “These [low-field] systems are much simpler.”
 

Challenges and the Future

The prototype weighs about 1.5 tons or 3000 lb. (A 3 T MRI can weigh between 6 and 13 tons or 12,000 and 26,000 lb.) That might sound like a lot, but it’s comparable to a mobile CT scanner, which is designed to be moved from room to room. Plus, “its weight can be substantially reduced if further optimized,” Dr. Wu said.

One challenge with low-field MRIs is image quality, which tends to be not as clear and detailed as those from high-power machines. To address this, the research team used deep learning (artificial intelligence) to enhance the image quality. “Computing power and large-scale data underpin our success, which tackles the physics and math problems that are traditionally considered intractable in existing MRI methodology,” Dr. Wu said.

Dr. Webb said he was impressed by the image quality shown in the study. They “look much higher quality than you would expect from such a low-field system,” he said. Still, only healthy volunteers were scanned. The true test will be using it to view subtle pathologies, Dr. Webb said.

That’s what Dr. Wu and his team are working on now — taking scans to diagnose various medical conditions. His group’s brain-only version of the low-field MRI has been used for diagnosis, he noted.
 

A version of this article appeared on Medscape.com.

The US Food and Drug Administration has granted accelerated approval to tarlatamab-dlle (Imdelltra) for extensive-stage small cell lung cancer (SCLC) with disease progression on or after platinum-based chemotherapy.

Tarlatamab is a first-in-class bispecific T-cell engager (BiTE) that binds delta-like ligand 3 on the surface of cells, including tumor cells, and CD3 expressed on the surface of T cells. It causes T-cell activation, release of inflammatory cytokines, and lysis of DLL3-expressing cells, according to labeling. 

Approval was based on data from 99 patients in the DeLLphi-301 trial with relapsed/refractory extensive-stage SCLC who had progressed after platinum-based chemotherapy. Patients with symptomatic brain metastases, interstitial lung disease, noninfectious pneumonitis, and active immunodeficiency were excluded. 

The overall response rate was 40%, and median duration of response 9.7 months. The overall response rate was 52% in 27 patients with platinum-resistant SCLC and 31% in 42 with platinum-sensitive disease. 

Continued approval may depend on verification of clinical benefit in a confirmatory trial.

Labeling includes a box warning of serious or life-threatening cytokine release syndrome and neurologic toxicity, including immune effector cell–associated neurotoxicity syndrome. 

The most common adverse events, occurring in 20% or more of patients, were cytokine release syndrome, fatigue, pyrexia, dysgeusia, decreased appetite, musculoskeletal pain, constipation, anemia, and nausea. 

The most common grade 3 or 4 laboratory abnormalities included decreased lymphocytes, decreased sodium, increased uric acid, decreased total neutrophils, decreased hemoglobin, increased activated partial thromboplastin time, and decreased potassium.

The starting dose is 1 mg given intravenously over 1 hour on the first day of the first cycle followed by 10 mg on day 8 and day 15 of the first cycle, then every 2 weeks until disease progression or unacceptable toxicity.

M. Alexander Otto is a physician assistant with a master’s degree in medical science and a journalism degree from Newhouse. He is an award-winning medical journalist who worked for several major news outlets before joining Medscape. Alex is also an MIT Knight Science Journalism fellow. Email: [email protected]

A version of this article appeared on Medscape.com.

The US Food and Drug Administration has granted accelerated approval to tarlatamab-dlle (Imdelltra) for extensive-stage small cell lung cancer (SCLC) with disease progression on or after platinum-based chemotherapy.

Tarlatamab is a first-in-class bispecific T-cell engager (BiTE) that binds delta-like ligand 3 on the surface of cells, including tumor cells, and CD3 expressed on the surface of T cells. It causes T-cell activation, release of inflammatory cytokines, and lysis of DLL3-expressing cells, according to labeling. 

Approval was based on data from 99 patients in the DeLLphi-301 trial with relapsed/refractory extensive-stage SCLC who had progressed after platinum-based chemotherapy. Patients with symptomatic brain metastases, interstitial lung disease, noninfectious pneumonitis, and active immunodeficiency were excluded. 

The overall response rate was 40%, and median duration of response 9.7 months. The overall response rate was 52% in 27 patients with platinum-resistant SCLC and 31% in 42 with platinum-sensitive disease. 

Continued approval may depend on verification of clinical benefit in a confirmatory trial.

Labeling includes a box warning of serious or life-threatening cytokine release syndrome and neurologic toxicity, including immune effector cell–associated neurotoxicity syndrome. 

The most common adverse events, occurring in 20% or more of patients, were cytokine release syndrome, fatigue, pyrexia, dysgeusia, decreased appetite, musculoskeletal pain, constipation, anemia, and nausea. 

The most common grade 3 or 4 laboratory abnormalities included decreased lymphocytes, decreased sodium, increased uric acid, decreased total neutrophils, decreased hemoglobin, increased activated partial thromboplastin time, and decreased potassium.

The starting dose is 1 mg given intravenously over 1 hour on the first day of the first cycle followed by 10 mg on day 8 and day 15 of the first cycle, then every 2 weeks until disease progression or unacceptable toxicity.

M. Alexander Otto is a physician assistant with a master’s degree in medical science and a journalism degree from Newhouse. He is an award-winning medical journalist who worked for several major news outlets before joining Medscape. Alex is also an MIT Knight Science Journalism fellow. Email: [email protected]

A version of this article appeared on Medscape.com.

The US Food and Drug Administration has granted accelerated approval to tarlatamab-dlle (Imdelltra) for extensive-stage small cell lung cancer (SCLC) with disease progression on or after platinum-based chemotherapy.

Tarlatamab is a first-in-class bispecific T-cell engager (BiTE) that binds delta-like ligand 3 on the surface of cells, including tumor cells, and CD3 expressed on the surface of T cells. It causes T-cell activation, release of inflammatory cytokines, and lysis of DLL3-expressing cells, according to labeling. 

Approval was based on data from 99 patients in the DeLLphi-301 trial with relapsed/refractory extensive-stage SCLC who had progressed after platinum-based chemotherapy. Patients with symptomatic brain metastases, interstitial lung disease, noninfectious pneumonitis, and active immunodeficiency were excluded. 

The overall response rate was 40%, and median duration of response 9.7 months. The overall response rate was 52% in 27 patients with platinum-resistant SCLC and 31% in 42 with platinum-sensitive disease. 

Continued approval may depend on verification of clinical benefit in a confirmatory trial.

Labeling includes a box warning of serious or life-threatening cytokine release syndrome and neurologic toxicity, including immune effector cell–associated neurotoxicity syndrome. 

The most common adverse events, occurring in 20% or more of patients, were cytokine release syndrome, fatigue, pyrexia, dysgeusia, decreased appetite, musculoskeletal pain, constipation, anemia, and nausea. 

The most common grade 3 or 4 laboratory abnormalities included decreased lymphocytes, decreased sodium, increased uric acid, decreased total neutrophils, decreased hemoglobin, increased activated partial thromboplastin time, and decreased potassium.

The starting dose is 1 mg given intravenously over 1 hour on the first day of the first cycle followed by 10 mg on day 8 and day 15 of the first cycle, then every 2 weeks until disease progression or unacceptable toxicity.

M. Alexander Otto is a physician assistant with a master’s degree in medical science and a journalism degree from Newhouse. He is an award-winning medical journalist who worked for several major news outlets before joining Medscape. Alex is also an MIT Knight Science Journalism fellow. Email: [email protected]

A version of this article appeared on Medscape.com.

Large language models (LLM) such as ChatGPT have shown mixed results in the quality of their responses to consumer questions about cancer.

One recent study found AI chatbots to churn out incomplete, inaccurate, or even nonsensical cancer treatment recommendations, while another found them to generate largely accurate — if technical — responses to the most common cancer questions.

While researchers have seen success with purpose-built chatbots created to address patient concerns about specific cancers, the consensus to date has been that the generalized models like ChatGPT remain works in progress and that physicians should avoid pointing patients to them, for now.

Yet new findings suggest that these chatbots may do better than individual physicians, at least on some measures, when it comes to answering queries about cancer. For research published May 16 in JAMA Oncology (doi: 10.1001/jamaoncol.2024.0836), David Chen, a medical student at the University of Toronto, and his colleagues, isolated a random sample of 200 questions related to cancer care addressed to doctors on the public online forum Reddit. They then compared responses from oncologists with responses generated by three different AI chatbots. The blinded responses were rated for quality, readability, and empathy by six physicians, including oncologists and palliative and supportive care specialists.

Mr. Chen and colleagues’ research was modeled after a 2023 study that measured the quality of physician responses compared with chatbots for general medicine questions addressed to doctors on Reddit. That study found that the chatbots produced more empathetic-sounding answers, something Mr. Chen’s study also found. The best-performing chatbot in Mr. Chen and colleagues’ study, Claude AI, performed significantly higher than the Reddit physicians on all the domains evaluated: quality, empathy, and readability.
 

Q&A With Author of New Research

Mr. Chen discussed his new study’s implications during an interview with this news organization.

Question: What is novel about this study?

Mr. Chen: We’ve seen many evaluations of chatbots that test for medical accuracy, but this study occurs in the domain of oncology care, where there are unique psychosocial and emotional considerations that are not precisely reflected in a general medicine setting. In effect, this study is putting these chatbots through a harder challenge.



Question: Why would chatbot responses seem more empathetic than those of physicians?

Mr. Chen: With the physician responses that we observed in our sample data set, we saw that there was very high variation of amount of apparent effort [in the physician responses]. Some physicians would put in a lot of time and effort, thinking through their response, and others wouldn’t do so as much. These chatbots don’t face fatigue the way humans do, or burnout. So they’re able to consistently provide responses with less variation in empathy.



Question: Do chatbots just seem empathetic because they are chattier?

Mr. Chen: We did think of verbosity as a potential confounder in this study. So we set a word count limit for the chatbot responses to keep it in the range of the physician responses. That way, verbosity was no longer a significant factor.



Question: How were quality and empathy measured by the reviewers?

Mr. Chen: For our study we used two teams of readers, each team composed of three physicians. In terms of the actual metrics we used, they were pilot metrics. There are no well-defined measurement scales or checklists that we could use to measure empathy. This is an emerging field of research. So we came up by consensus with our own set of ratings, and we feel that this is an area for the research to define a standardized set of guidelines.

Another novel aspect of this study is that we separated out different dimensions of quality and empathy. A quality response didn’t just mean it was medically accurate — quality also had to do with the focus and completeness of the response.

With empathy there are cognitive and emotional dimensions. Cognitive empathy uses critical thinking to understand the person’s emotions and thoughts and then adjusting a response to fit that. A patient may not want the best medically indicated treatment for their condition, because they want to preserve their quality of life. The chatbot may be able to adjust its recommendation with consideration of some of those humanistic elements that the patient is presenting with.

Emotional empathy is more about being supportive of the patient’s emotions by using expressions like ‘I understand where you’re coming from.’ or, ‘I can see how that makes you feel.’



Question: Why would physicians, not patients, be the best evaluators of empathy?

Mr. Chen: We’re actually very interested in evaluating patient ratings of empathy. We are conducting a follow-up study that evaluates patient ratings of empathy to the same set of chatbot and physician responses,to see if there are differences.



Question: Should cancer patients go ahead and consult chatbots?

Mr. Chen: Although we did observe increases in all of the metrics compared with physicians, this is a very specialized evaluation scenario where we’re using these Reddit questions and responses.

Naturally, we would need to do a trial, a head to head randomized comparison of physicians versus chatbots.

This pilot study does highlight the promising potential of these chatbots to suggest responses. But we can’t fully recommend that they should be used as standalone clinical tools without physicians.

This Q&A was edited for clarity.

Large language models (LLM) such as ChatGPT have shown mixed results in the quality of their responses to consumer questions about cancer.

One recent study found AI chatbots to churn out incomplete, inaccurate, or even nonsensical cancer treatment recommendations, while another found them to generate largely accurate — if technical — responses to the most common cancer questions.

While researchers have seen success with purpose-built chatbots created to address patient concerns about specific cancers, the consensus to date has been that the generalized models like ChatGPT remain works in progress and that physicians should avoid pointing patients to them, for now.

Yet new findings suggest that these chatbots may do better than individual physicians, at least on some measures, when it comes to answering queries about cancer. For research published May 16 in JAMA Oncology (doi: 10.1001/jamaoncol.2024.0836), David Chen, a medical student at the University of Toronto, and his colleagues, isolated a random sample of 200 questions related to cancer care addressed to doctors on the public online forum Reddit. They then compared responses from oncologists with responses generated by three different AI chatbots. The blinded responses were rated for quality, readability, and empathy by six physicians, including oncologists and palliative and supportive care specialists.

Mr. Chen and colleagues’ research was modeled after a 2023 study that measured the quality of physician responses compared with chatbots for general medicine questions addressed to doctors on Reddit. That study found that the chatbots produced more empathetic-sounding answers, something Mr. Chen’s study also found. The best-performing chatbot in Mr. Chen and colleagues’ study, Claude AI, performed significantly higher than the Reddit physicians on all the domains evaluated: quality, empathy, and readability.
 

Q&A With Author of New Research

Mr. Chen discussed his new study’s implications during an interview with this news organization.

Question: What is novel about this study?

Mr. Chen: We’ve seen many evaluations of chatbots that test for medical accuracy, but this study occurs in the domain of oncology care, where there are unique psychosocial and emotional considerations that are not precisely reflected in a general medicine setting. In effect, this study is putting these chatbots through a harder challenge.



Question: Why would chatbot responses seem more empathetic than those of physicians?

Mr. Chen: With the physician responses that we observed in our sample data set, we saw that there was very high variation of amount of apparent effort [in the physician responses]. Some physicians would put in a lot of time and effort, thinking through their response, and others wouldn’t do so as much. These chatbots don’t face fatigue the way humans do, or burnout. So they’re able to consistently provide responses with less variation in empathy.



Question: Do chatbots just seem empathetic because they are chattier?

Mr. Chen: We did think of verbosity as a potential confounder in this study. So we set a word count limit for the chatbot responses to keep it in the range of the physician responses. That way, verbosity was no longer a significant factor.



Question: How were quality and empathy measured by the reviewers?

Mr. Chen: For our study we used two teams of readers, each team composed of three physicians. In terms of the actual metrics we used, they were pilot metrics. There are no well-defined measurement scales or checklists that we could use to measure empathy. This is an emerging field of research. So we came up by consensus with our own set of ratings, and we feel that this is an area for the research to define a standardized set of guidelines.

Another novel aspect of this study is that we separated out different dimensions of quality and empathy. A quality response didn’t just mean it was medically accurate — quality also had to do with the focus and completeness of the response.

With empathy there are cognitive and emotional dimensions. Cognitive empathy uses critical thinking to understand the person’s emotions and thoughts and then adjusting a response to fit that. A patient may not want the best medically indicated treatment for their condition, because they want to preserve their quality of life. The chatbot may be able to adjust its recommendation with consideration of some of those humanistic elements that the patient is presenting with.

Emotional empathy is more about being supportive of the patient’s emotions by using expressions like ‘I understand where you’re coming from.’ or, ‘I can see how that makes you feel.’



Question: Why would physicians, not patients, be the best evaluators of empathy?

Mr. Chen: We’re actually very interested in evaluating patient ratings of empathy. We are conducting a follow-up study that evaluates patient ratings of empathy to the same set of chatbot and physician responses,to see if there are differences.



Question: Should cancer patients go ahead and consult chatbots?

Mr. Chen: Although we did observe increases in all of the metrics compared with physicians, this is a very specialized evaluation scenario where we’re using these Reddit questions and responses.

Naturally, we would need to do a trial, a head to head randomized comparison of physicians versus chatbots.

This pilot study does highlight the promising potential of these chatbots to suggest responses. But we can’t fully recommend that they should be used as standalone clinical tools without physicians.

This Q&A was edited for clarity.

Large language models (LLM) such as ChatGPT have shown mixed results in the quality of their responses to consumer questions about cancer.

One recent study found AI chatbots to churn out incomplete, inaccurate, or even nonsensical cancer treatment recommendations, while another found them to generate largely accurate — if technical — responses to the most common cancer questions.

While researchers have seen success with purpose-built chatbots created to address patient concerns about specific cancers, the consensus to date has been that the generalized models like ChatGPT remain works in progress and that physicians should avoid pointing patients to them, for now.

Yet new findings suggest that these chatbots may do better than individual physicians, at least on some measures, when it comes to answering queries about cancer. For research published May 16 in JAMA Oncology (doi: 10.1001/jamaoncol.2024.0836), David Chen, a medical student at the University of Toronto, and his colleagues, isolated a random sample of 200 questions related to cancer care addressed to doctors on the public online forum Reddit. They then compared responses from oncologists with responses generated by three different AI chatbots. The blinded responses were rated for quality, readability, and empathy by six physicians, including oncologists and palliative and supportive care specialists.

Mr. Chen and colleagues’ research was modeled after a 2023 study that measured the quality of physician responses compared with chatbots for general medicine questions addressed to doctors on Reddit. That study found that the chatbots produced more empathetic-sounding answers, something Mr. Chen’s study also found. The best-performing chatbot in Mr. Chen and colleagues’ study, Claude AI, performed significantly higher than the Reddit physicians on all the domains evaluated: quality, empathy, and readability.
 

Q&A With Author of New Research

Mr. Chen discussed his new study’s implications during an interview with this news organization.

Question: What is novel about this study?

Mr. Chen: We’ve seen many evaluations of chatbots that test for medical accuracy, but this study occurs in the domain of oncology care, where there are unique psychosocial and emotional considerations that are not precisely reflected in a general medicine setting. In effect, this study is putting these chatbots through a harder challenge.



Question: Why would chatbot responses seem more empathetic than those of physicians?

Mr. Chen: With the physician responses that we observed in our sample data set, we saw that there was very high variation of amount of apparent effort [in the physician responses]. Some physicians would put in a lot of time and effort, thinking through their response, and others wouldn’t do so as much. These chatbots don’t face fatigue the way humans do, or burnout. So they’re able to consistently provide responses with less variation in empathy.



Question: Do chatbots just seem empathetic because they are chattier?

Mr. Chen: We did think of verbosity as a potential confounder in this study. So we set a word count limit for the chatbot responses to keep it in the range of the physician responses. That way, verbosity was no longer a significant factor.



Question: How were quality and empathy measured by the reviewers?

Mr. Chen: For our study we used two teams of readers, each team composed of three physicians. In terms of the actual metrics we used, they were pilot metrics. There are no well-defined measurement scales or checklists that we could use to measure empathy. This is an emerging field of research. So we came up by consensus with our own set of ratings, and we feel that this is an area for the research to define a standardized set of guidelines.

Another novel aspect of this study is that we separated out different dimensions of quality and empathy. A quality response didn’t just mean it was medically accurate — quality also had to do with the focus and completeness of the response.

With empathy there are cognitive and emotional dimensions. Cognitive empathy uses critical thinking to understand the person’s emotions and thoughts and then adjusting a response to fit that. A patient may not want the best medically indicated treatment for their condition, because they want to preserve their quality of life. The chatbot may be able to adjust its recommendation with consideration of some of those humanistic elements that the patient is presenting with.

Emotional empathy is more about being supportive of the patient’s emotions by using expressions like ‘I understand where you’re coming from.’ or, ‘I can see how that makes you feel.’



Question: Why would physicians, not patients, be the best evaluators of empathy?

Mr. Chen: We’re actually very interested in evaluating patient ratings of empathy. We are conducting a follow-up study that evaluates patient ratings of empathy to the same set of chatbot and physician responses,to see if there are differences.



Question: Should cancer patients go ahead and consult chatbots?

Mr. Chen: Although we did observe increases in all of the metrics compared with physicians, this is a very specialized evaluation scenario where we’re using these Reddit questions and responses.

Naturally, we would need to do a trial, a head to head randomized comparison of physicians versus chatbots.

This pilot study does highlight the promising potential of these chatbots to suggest responses. But we can’t fully recommend that they should be used as standalone clinical tools without physicians.

This Q&A was edited for clarity.

SAN DIEGO — Compared with medical oncologists, dermatologists were more likely to correctly classify and grade dermatologic adverse events from cancer therapies, results from a multicenter survey showed.

“New cancer therapies have brought a diversity of treatment-related dermatologic adverse events (dAEs) beyond those experienced with conventional chemotherapy, which has demanded an evolving assessment of toxicities,” researchers led by Nicole R. LeBoeuf, MD, MPH, of the Department of Dermatology at Brigham and Women’s Hospital and the Center for Cutaneous Oncology at the Dana-Farber Brigham Cancer Center, Boston, wrote in a poster presented at the American Academy of Dermatology annual meeting.

The authors noted that “Version 5.0 of the Common Terminology Criteria for Adverse Events (CTCAE v5.0)” serves as the current, broadly accepted criteria for classification and grading during routine medical care and clinical trials. But despite extensive utilization of CTCAE, there is little data regarding its application.”

To evaluate how CTCAE is being used in clinical practice, they sent a four-case survey of dAEs to 81 dermatologists and 182 medical oncologists at six US-based academic institutions. For three of the cases, respondents were asked to classify and grade morbilliform, psoriasiform, and papulopustular rashes based on a review of photographs and text descriptions. For the fourth case, respondents were asked to grade a dAE using only a clinic note text description. The researchers used chi-square tests in R software to compare survey responses.

Compared with medical oncologists, dermatologists were significantly more likely to provide correct responses in characterizing morbilliform and psoriasiform eruptions. “As low as 12%” of medical oncologists were correct, and “as low as 87%” of dermatologists were correct (P < .001). Similarly, dermatologists were significantly more likely to grade the psoriasiform, papulopustular, and written cases correctly compared with medical oncologists (P < .001 for all associations).

“These cases demonstrated poor concordance of classification and grading between specialties and across medical oncology,” the authors concluded in their poster, noting that 87% of medical oncologists were interested in additional educational tools on dAEs. “With correct classification as low as 12%, medical oncologists may have more difficulty delivering appropriate, toxicity-specific therapy and may consider banal eruptions dangerous.”

Poor concordance of grading among the two groups of clinicians “raises the question of whether CTCAE v5.0 is an appropriate determinant for patient continuation on therapy or in trials,” they added. “As anticancer therapy becomes more complex — with new toxicities from novel agents and combinations — we must ensure we have a grading system that is valid across investigators and does not harm patients by instituting unnecessary treatment stops.”

Future studies, they said, “can explore what interventions beyond involvement of dermatologists improve classification and grading in practice.”

Adam Friedman, MD, professor and chair of dermatology at George Washington University, Washington, who was asked to comment on the study, noted that with the continued expansion and introduction of new targeted and immunotherapies in the oncology space, “you can be sure we will continue to appreciate the importance and value of the field of supportive oncodermatology, as hair, skin, and nails are almost guaranteed collateral damage in this story.

“Ensuring early identification and consistent grading severity is not only important for the plethora of patients who are currently developing the litany of cutaneous adverse events but to evaluate potential mitigation strategies and even push along countermeasures down the FDA approval pathway,” Dr. Friedman said. In this study, the investigators demonstrated that work “is sorely needed, not just in dermatology but even more so for our colleagues across the aisle. A central tenet of supportive oncodermatology must also be education for all stakeholders, and the good news is our oncology partners will welcome it.”

Dr. LeBoeuf disclosed that she is a consultant to and has received honoraria from Bayer, Seattle Genetics, Sanofi, Silverback, Fortress Biotech, and Synox Therapeutics outside the submitted work. No other authors reported having financial disclosures. Dr. Friedman directs the supportive oncodermatology program at GW that received independent funding from La Roche-Posay.
 

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

SAN DIEGO — Compared with medical oncologists, dermatologists were more likely to correctly classify and grade dermatologic adverse events from cancer therapies, results from a multicenter survey showed.

“New cancer therapies have brought a diversity of treatment-related dermatologic adverse events (dAEs) beyond those experienced with conventional chemotherapy, which has demanded an evolving assessment of toxicities,” researchers led by Nicole R. LeBoeuf, MD, MPH, of the Department of Dermatology at Brigham and Women’s Hospital and the Center for Cutaneous Oncology at the Dana-Farber Brigham Cancer Center, Boston, wrote in a poster presented at the American Academy of Dermatology annual meeting.

The authors noted that “Version 5.0 of the Common Terminology Criteria for Adverse Events (CTCAE v5.0)” serves as the current, broadly accepted criteria for classification and grading during routine medical care and clinical trials. But despite extensive utilization of CTCAE, there is little data regarding its application.”

To evaluate how CTCAE is being used in clinical practice, they sent a four-case survey of dAEs to 81 dermatologists and 182 medical oncologists at six US-based academic institutions. For three of the cases, respondents were asked to classify and grade morbilliform, psoriasiform, and papulopustular rashes based on a review of photographs and text descriptions. For the fourth case, respondents were asked to grade a dAE using only a clinic note text description. The researchers used chi-square tests in R software to compare survey responses.

Compared with medical oncologists, dermatologists were significantly more likely to provide correct responses in characterizing morbilliform and psoriasiform eruptions. “As low as 12%” of medical oncologists were correct, and “as low as 87%” of dermatologists were correct (P < .001). Similarly, dermatologists were significantly more likely to grade the psoriasiform, papulopustular, and written cases correctly compared with medical oncologists (P < .001 for all associations).

“These cases demonstrated poor concordance of classification and grading between specialties and across medical oncology,” the authors concluded in their poster, noting that 87% of medical oncologists were interested in additional educational tools on dAEs. “With correct classification as low as 12%, medical oncologists may have more difficulty delivering appropriate, toxicity-specific therapy and may consider banal eruptions dangerous.”

Poor concordance of grading among the two groups of clinicians “raises the question of whether CTCAE v5.0 is an appropriate determinant for patient continuation on therapy or in trials,” they added. “As anticancer therapy becomes more complex — with new toxicities from novel agents and combinations — we must ensure we have a grading system that is valid across investigators and does not harm patients by instituting unnecessary treatment stops.”

Future studies, they said, “can explore what interventions beyond involvement of dermatologists improve classification and grading in practice.”

Adam Friedman, MD, professor and chair of dermatology at George Washington University, Washington, who was asked to comment on the study, noted that with the continued expansion and introduction of new targeted and immunotherapies in the oncology space, “you can be sure we will continue to appreciate the importance and value of the field of supportive oncodermatology, as hair, skin, and nails are almost guaranteed collateral damage in this story.

“Ensuring early identification and consistent grading severity is not only important for the plethora of patients who are currently developing the litany of cutaneous adverse events but to evaluate potential mitigation strategies and even push along countermeasures down the FDA approval pathway,” Dr. Friedman said. In this study, the investigators demonstrated that work “is sorely needed, not just in dermatology but even more so for our colleagues across the aisle. A central tenet of supportive oncodermatology must also be education for all stakeholders, and the good news is our oncology partners will welcome it.”

Dr. LeBoeuf disclosed that she is a consultant to and has received honoraria from Bayer, Seattle Genetics, Sanofi, Silverback, Fortress Biotech, and Synox Therapeutics outside the submitted work. No other authors reported having financial disclosures. Dr. Friedman directs the supportive oncodermatology program at GW that received independent funding from La Roche-Posay.
 

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

SAN DIEGO — Compared with medical oncologists, dermatologists were more likely to correctly classify and grade dermatologic adverse events from cancer therapies, results from a multicenter survey showed.

“New cancer therapies have brought a diversity of treatment-related dermatologic adverse events (dAEs) beyond those experienced with conventional chemotherapy, which has demanded an evolving assessment of toxicities,” researchers led by Nicole R. LeBoeuf, MD, MPH, of the Department of Dermatology at Brigham and Women’s Hospital and the Center for Cutaneous Oncology at the Dana-Farber Brigham Cancer Center, Boston, wrote in a poster presented at the American Academy of Dermatology annual meeting.

The authors noted that “Version 5.0 of the Common Terminology Criteria for Adverse Events (CTCAE v5.0)” serves as the current, broadly accepted criteria for classification and grading during routine medical care and clinical trials. But despite extensive utilization of CTCAE, there is little data regarding its application.”

To evaluate how CTCAE is being used in clinical practice, they sent a four-case survey of dAEs to 81 dermatologists and 182 medical oncologists at six US-based academic institutions. For three of the cases, respondents were asked to classify and grade morbilliform, psoriasiform, and papulopustular rashes based on a review of photographs and text descriptions. For the fourth case, respondents were asked to grade a dAE using only a clinic note text description. The researchers used chi-square tests in R software to compare survey responses.

Compared with medical oncologists, dermatologists were significantly more likely to provide correct responses in characterizing morbilliform and psoriasiform eruptions. “As low as 12%” of medical oncologists were correct, and “as low as 87%” of dermatologists were correct (P < .001). Similarly, dermatologists were significantly more likely to grade the psoriasiform, papulopustular, and written cases correctly compared with medical oncologists (P < .001 for all associations).

“These cases demonstrated poor concordance of classification and grading between specialties and across medical oncology,” the authors concluded in their poster, noting that 87% of medical oncologists were interested in additional educational tools on dAEs. “With correct classification as low as 12%, medical oncologists may have more difficulty delivering appropriate, toxicity-specific therapy and may consider banal eruptions dangerous.”

Poor concordance of grading among the two groups of clinicians “raises the question of whether CTCAE v5.0 is an appropriate determinant for patient continuation on therapy or in trials,” they added. “As anticancer therapy becomes more complex — with new toxicities from novel agents and combinations — we must ensure we have a grading system that is valid across investigators and does not harm patients by instituting unnecessary treatment stops.”

Future studies, they said, “can explore what interventions beyond involvement of dermatologists improve classification and grading in practice.”

Adam Friedman, MD, professor and chair of dermatology at George Washington University, Washington, who was asked to comment on the study, noted that with the continued expansion and introduction of new targeted and immunotherapies in the oncology space, “you can be sure we will continue to appreciate the importance and value of the field of supportive oncodermatology, as hair, skin, and nails are almost guaranteed collateral damage in this story.

“Ensuring early identification and consistent grading severity is not only important for the plethora of patients who are currently developing the litany of cutaneous adverse events but to evaluate potential mitigation strategies and even push along countermeasures down the FDA approval pathway,” Dr. Friedman said. In this study, the investigators demonstrated that work “is sorely needed, not just in dermatology but even more so for our colleagues across the aisle. A central tenet of supportive oncodermatology must also be education for all stakeholders, and the good news is our oncology partners will welcome it.”

Dr. LeBoeuf disclosed that she is a consultant to and has received honoraria from Bayer, Seattle Genetics, Sanofi, Silverback, Fortress Biotech, and Synox Therapeutics outside the submitted work. No other authors reported having financial disclosures. Dr. Friedman directs the supportive oncodermatology program at GW that received independent funding from La Roche-Posay.
 

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

BERLIN — To date, mRNA vaccines have had their largest global presence in combating the COVID-19 pandemic. Intensive research is underway on many other potential applications for this vaccine technology, which suggests a promising future. Martina Prelog, MD, a pediatric and adolescent medicine specialist at the University Hospital of Würzburg in Germany, reported on the principles, research status, and perspectives for these vaccines at the 25th Travel and Health Forum of the Center for Travel Medicine in Berlin.

To understand the future, the immunologist first examined the past. “The induction of cellular and humoral immune responses by externally injected mRNA was discovered in the 1990s,” she said.
 

Instability Challenge

Significant hurdles in mRNA vaccinations included the instability of mRNA and the immune system’s ability to identify foreign mRNA as a threat and destroy mRNA fragments. “The breakthrough toward vaccination came through Dr. Katalin Karikó, who, along with Dr. Drew Weissman, both of the University of Pennsylvania School of Medicine, discovered in 2005 that modifications of mRNA (replacing the nucleoside uridine with pseudouridine) enable better stability of mRNA, reduced immunogenicity, and higher translational capacity at the ribosomes,” said Dr. Prelog.

With this discovery, the two researchers paved the way for the development of mRNA vaccines against COVID-19 and other diseases. They were awarded the Nobel Prize in medicine for their discovery last year.
 

Improved Scalability

“Since 2009, mRNA vaccines have been studied as a treatment option for cancer,” said Dr. Prelog. “Since 2012, they have been studied for the influenza virus and respiratory syncytial virus [RSV].” Consequently, several mRNA vaccines are currently in development or in approval studies. “The mRNA technology offers the advantage of quickly and flexibly responding to new variants of pathogens and the ability to scale up production when there is high demand for a particular vaccine.”

Different forms and designations of mRNA vaccines are used, depending on the application and desired effect, said Dr. Prelog.

In nucleoside-modified mRNA vaccines, modifications in the mRNA sequence enable the mRNA to remain in the body longer and to induce protein synthesis more effectively.

Lipid nanoparticle (LNP)–encapsulated mRNA vaccines protect the coding mRNA sequences against degradation by the body’s enzymes and facilitate the uptake of mRNA into cells, where it then triggers the production of the desired protein. In addition, LNPs are involved in cell stimulation and support the self-adjuvant effect of mRNA vaccines, thus eliminating the need for adjuvants.

Self-amplifying mRNA vaccines include a special mRNA that replicates itself in the cell and contains a sequence for RNA replicase, in addition to the coding sequence for the protein. This composition enables increased production of the target protein without the need for a high amount of external mRNA administration. Such vaccines could trigger a longer and stronger immune response because the immune system has more time to interact with the protein.
 

Cancer Immunotherapy

Dr. Prelog also discussed personalized vaccines for cancer immunotherapy. Personalized mRNA vaccines are tailored to the patient’s genetic characteristics and antigens. They could be used in cancer immunotherapy to activate the immune system selectively against tumor cells.

Multivalent mRNA vaccines contain mRNA that codes for multiple antigens rather than just one protein to generate an immune response. These vaccines could be particularly useful in fighting pathogens with variable or changing surface structures or in eliciting protection against multiple pathogens simultaneously.

The technology of mRNA-encoded antibodies involves introducing mRNA into the cell, which creates light and heavy chains of antibodies. This step leads to the formation of antibodies targeted against toxins (eg, diphtheria and tetanus), animal venoms, infectious agents, or tumor cells.
 

Genetic Engineering

Dr. Prelog also reviewed genetic engineering techniques. In regenerative therapy or protein replacement therapy, skin fibroblasts or other cells are transfected with mRNA to enable conversion into induced pluripotent stem cells. This approach avoids the risk for DNA integration into the genome and associated mutation risks.

Another approach is making post-transcriptional modifications through RNA interference. For example, RNA structures can be used to inhibit the translation of disease-causing proteins. This technique is currently being tested against HIV and tumors such as melanoma.

In addition, mRNA technologies can be combined with CRISPR/Cas9 technology (“gene scissors”) to influence the creation of gene products even more precisely. The advantage of this technique is that mRNA is only transiently expressed, thus preventing unwanted side effects. Furthermore, mRNA is translated directly in the cytoplasm, leading to a faster initiation of gene editing.

Of the numerous ongoing clinical mRNA vaccine studies, around 70% focus on infections, about 12% on cancer, and the rest on autoimmune diseases and neurodegenerative disorders, said Dr. Prelog.
 

Research in Infections

Research in the fields of infectious diseases and oncology is the most advanced: mRNA vaccines against influenza and RSV are already in advanced clinical trials, Dr. Prelog told this news organization.

“Conventional influenza vaccines contain immunogenic surface molecules against hemagglutinin and neuraminidase in various combinations of influenza strains A and B and are produced in egg or cell cultures,” she said. “This is a time-consuming manufacturing process that takes months and, particularly with the egg-based process, bears the risk of changing the vaccine strain.”

“Additionally, influenza viruses undergo antigenic shift and drift through recombination, thus requiring annual adjustments to the vaccines. Thus, these influenza vaccines often lose accuracy in targeting circulating seasonal influenza strains.”

Several mRNA vaccines being tested contain not only coding sequences against hemagglutinin and neuraminidase but also for structural proteins of influenza viruses. “These are more conserved and mutate less easily, meaning they could serve as the basis for universal pandemic influenza vaccines,” said Dr. Prelog.

An advantage of mRNA vaccines, she added, is the strong cellular immune response that they elicit. This response is intended to provide additional protection alongside specific antibodies. An mRNA vaccine with coding sequences for the pre-fusion protein of RSV is in phase 3 trials for approval for vaccination in patients aged 60 years and older. It shows high effectiveness even in older patients and those with comorbidities.
 

Elaborate Purification Process

Bacterial origin plasmid DNA is used to produce mRNA vaccines. The mRNA vaccines for COVID-19 raised concerns that production-related DNA residues could pose a safety risk and cause autoimmune diseases.

These vaccines “typically undergo a very elaborate purification process,” said Dr. Prelog. “This involves enzymatic digestion with DNase to fragment and deplete plasmid DNA, followed by purification using chromatography columns, so that no safety-relevant DNA fragments should remain afterward.”

Thus, the Paul-Ehrlich-Institut also pointed out the very small, fragmented plasmid DNA residues of bacterial origin in mRNA COVID-19 vaccines pose no risk, unlike residual DNA from animal cell culture might pose in other vaccines.
 

Prevention and Therapy

In addition to the numerous advantages of mRNA vaccines (such as rapid adaptability to new or mutated pathogens, scalability, rapid production capability, self-adjuvant effect, strong induction of cellular immune responses, and safety), there are also challenges in RNA technology as a preventive and therapeutic measure, according to Dr. Prelog.

“Stability and storability, as well as the costs of new vaccine developments, play a role, as do the long-term effects regarding the persistence of antibody and cellular responses,” she said. The COVID-19 mRNA vaccines, for example, showed a well-maintained cellular immune response despite a tendency toward a rapid decline in humoral immune response.

“The experience with COVID-19 mRNA vaccines and the new vaccine developments based on mRNA technology give hope for an efficient and safe preventive and therapeutic use, particularly in the fields of infectious diseases and oncology,” Dr. Prelog concluded.

This story was translated from the Medscape German edition using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication. A version of this article appeared on Medscape.com.

BERLIN — To date, mRNA vaccines have had their largest global presence in combating the COVID-19 pandemic. Intensive research is underway on many other potential applications for this vaccine technology, which suggests a promising future. Martina Prelog, MD, a pediatric and adolescent medicine specialist at the University Hospital of Würzburg in Germany, reported on the principles, research status, and perspectives for these vaccines at the 25th Travel and Health Forum of the Center for Travel Medicine in Berlin.

To understand the future, the immunologist first examined the past. “The induction of cellular and humoral immune responses by externally injected mRNA was discovered in the 1990s,” she said.
 

Instability Challenge

Significant hurdles in mRNA vaccinations included the instability of mRNA and the immune system’s ability to identify foreign mRNA as a threat and destroy mRNA fragments. “The breakthrough toward vaccination came through Dr. Katalin Karikó, who, along with Dr. Drew Weissman, both of the University of Pennsylvania School of Medicine, discovered in 2005 that modifications of mRNA (replacing the nucleoside uridine with pseudouridine) enable better stability of mRNA, reduced immunogenicity, and higher translational capacity at the ribosomes,” said Dr. Prelog.

With this discovery, the two researchers paved the way for the development of mRNA vaccines against COVID-19 and other diseases. They were awarded the Nobel Prize in medicine for their discovery last year.
 

Improved Scalability

“Since 2009, mRNA vaccines have been studied as a treatment option for cancer,” said Dr. Prelog. “Since 2012, they have been studied for the influenza virus and respiratory syncytial virus [RSV].” Consequently, several mRNA vaccines are currently in development or in approval studies. “The mRNA technology offers the advantage of quickly and flexibly responding to new variants of pathogens and the ability to scale up production when there is high demand for a particular vaccine.”

Different forms and designations of mRNA vaccines are used, depending on the application and desired effect, said Dr. Prelog.

In nucleoside-modified mRNA vaccines, modifications in the mRNA sequence enable the mRNA to remain in the body longer and to induce protein synthesis more effectively.

Lipid nanoparticle (LNP)–encapsulated mRNA vaccines protect the coding mRNA sequences against degradation by the body’s enzymes and facilitate the uptake of mRNA into cells, where it then triggers the production of the desired protein. In addition, LNPs are involved in cell stimulation and support the self-adjuvant effect of mRNA vaccines, thus eliminating the need for adjuvants.

Self-amplifying mRNA vaccines include a special mRNA that replicates itself in the cell and contains a sequence for RNA replicase, in addition to the coding sequence for the protein. This composition enables increased production of the target protein without the need for a high amount of external mRNA administration. Such vaccines could trigger a longer and stronger immune response because the immune system has more time to interact with the protein.
 

Cancer Immunotherapy

Dr. Prelog also discussed personalized vaccines for cancer immunotherapy. Personalized mRNA vaccines are tailored to the patient’s genetic characteristics and antigens. They could be used in cancer immunotherapy to activate the immune system selectively against tumor cells.

Multivalent mRNA vaccines contain mRNA that codes for multiple antigens rather than just one protein to generate an immune response. These vaccines could be particularly useful in fighting pathogens with variable or changing surface structures or in eliciting protection against multiple pathogens simultaneously.

The technology of mRNA-encoded antibodies involves introducing mRNA into the cell, which creates light and heavy chains of antibodies. This step leads to the formation of antibodies targeted against toxins (eg, diphtheria and tetanus), animal venoms, infectious agents, or tumor cells.
 

Genetic Engineering

Dr. Prelog also reviewed genetic engineering techniques. In regenerative therapy or protein replacement therapy, skin fibroblasts or other cells are transfected with mRNA to enable conversion into induced pluripotent stem cells. This approach avoids the risk for DNA integration into the genome and associated mutation risks.

Another approach is making post-transcriptional modifications through RNA interference. For example, RNA structures can be used to inhibit the translation of disease-causing proteins. This technique is currently being tested against HIV and tumors such as melanoma.

In addition, mRNA technologies can be combined with CRISPR/Cas9 technology (“gene scissors”) to influence the creation of gene products even more precisely. The advantage of this technique is that mRNA is only transiently expressed, thus preventing unwanted side effects. Furthermore, mRNA is translated directly in the cytoplasm, leading to a faster initiation of gene editing.

Of the numerous ongoing clinical mRNA vaccine studies, around 70% focus on infections, about 12% on cancer, and the rest on autoimmune diseases and neurodegenerative disorders, said Dr. Prelog.
 

Research in Infections

Research in the fields of infectious diseases and oncology is the most advanced: mRNA vaccines against influenza and RSV are already in advanced clinical trials, Dr. Prelog told this news organization.

“Conventional influenza vaccines contain immunogenic surface molecules against hemagglutinin and neuraminidase in various combinations of influenza strains A and B and are produced in egg or cell cultures,” she said. “This is a time-consuming manufacturing process that takes months and, particularly with the egg-based process, bears the risk of changing the vaccine strain.”

“Additionally, influenza viruses undergo antigenic shift and drift through recombination, thus requiring annual adjustments to the vaccines. Thus, these influenza vaccines often lose accuracy in targeting circulating seasonal influenza strains.”

Several mRNA vaccines being tested contain not only coding sequences against hemagglutinin and neuraminidase but also for structural proteins of influenza viruses. “These are more conserved and mutate less easily, meaning they could serve as the basis for universal pandemic influenza vaccines,” said Dr. Prelog.

An advantage of mRNA vaccines, she added, is the strong cellular immune response that they elicit. This response is intended to provide additional protection alongside specific antibodies. An mRNA vaccine with coding sequences for the pre-fusion protein of RSV is in phase 3 trials for approval for vaccination in patients aged 60 years and older. It shows high effectiveness even in older patients and those with comorbidities.
 

Elaborate Purification Process

Bacterial origin plasmid DNA is used to produce mRNA vaccines. The mRNA vaccines for COVID-19 raised concerns that production-related DNA residues could pose a safety risk and cause autoimmune diseases.

These vaccines “typically undergo a very elaborate purification process,” said Dr. Prelog. “This involves enzymatic digestion with DNase to fragment and deplete plasmid DNA, followed by purification using chromatography columns, so that no safety-relevant DNA fragments should remain afterward.”

Thus, the Paul-Ehrlich-Institut also pointed out the very small, fragmented plasmid DNA residues of bacterial origin in mRNA COVID-19 vaccines pose no risk, unlike residual DNA from animal cell culture might pose in other vaccines.
 

Prevention and Therapy

In addition to the numerous advantages of mRNA vaccines (such as rapid adaptability to new or mutated pathogens, scalability, rapid production capability, self-adjuvant effect, strong induction of cellular immune responses, and safety), there are also challenges in RNA technology as a preventive and therapeutic measure, according to Dr. Prelog.

“Stability and storability, as well as the costs of new vaccine developments, play a role, as do the long-term effects regarding the persistence of antibody and cellular responses,” she said. The COVID-19 mRNA vaccines, for example, showed a well-maintained cellular immune response despite a tendency toward a rapid decline in humoral immune response.

“The experience with COVID-19 mRNA vaccines and the new vaccine developments based on mRNA technology give hope for an efficient and safe preventive and therapeutic use, particularly in the fields of infectious diseases and oncology,” Dr. Prelog concluded.

This story was translated from the Medscape German edition using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication. A version of this article appeared on Medscape.com.

BERLIN — To date, mRNA vaccines have had their largest global presence in combating the COVID-19 pandemic. Intensive research is underway on many other potential applications for this vaccine technology, which suggests a promising future. Martina Prelog, MD, a pediatric and adolescent medicine specialist at the University Hospital of Würzburg in Germany, reported on the principles, research status, and perspectives for these vaccines at the 25th Travel and Health Forum of the Center for Travel Medicine in Berlin.

To understand the future, the immunologist first examined the past. “The induction of cellular and humoral immune responses by externally injected mRNA was discovered in the 1990s,” she said.
 

Instability Challenge

Significant hurdles in mRNA vaccinations included the instability of mRNA and the immune system’s ability to identify foreign mRNA as a threat and destroy mRNA fragments. “The breakthrough toward vaccination came through Dr. Katalin Karikó, who, along with Dr. Drew Weissman, both of the University of Pennsylvania School of Medicine, discovered in 2005 that modifications of mRNA (replacing the nucleoside uridine with pseudouridine) enable better stability of mRNA, reduced immunogenicity, and higher translational capacity at the ribosomes,” said Dr. Prelog.

With this discovery, the two researchers paved the way for the development of mRNA vaccines against COVID-19 and other diseases. They were awarded the Nobel Prize in medicine for their discovery last year.
 

Improved Scalability

“Since 2009, mRNA vaccines have been studied as a treatment option for cancer,” said Dr. Prelog. “Since 2012, they have been studied for the influenza virus and respiratory syncytial virus [RSV].” Consequently, several mRNA vaccines are currently in development or in approval studies. “The mRNA technology offers the advantage of quickly and flexibly responding to new variants of pathogens and the ability to scale up production when there is high demand for a particular vaccine.”

Different forms and designations of mRNA vaccines are used, depending on the application and desired effect, said Dr. Prelog.

In nucleoside-modified mRNA vaccines, modifications in the mRNA sequence enable the mRNA to remain in the body longer and to induce protein synthesis more effectively.

Lipid nanoparticle (LNP)–encapsulated mRNA vaccines protect the coding mRNA sequences against degradation by the body’s enzymes and facilitate the uptake of mRNA into cells, where it then triggers the production of the desired protein. In addition, LNPs are involved in cell stimulation and support the self-adjuvant effect of mRNA vaccines, thus eliminating the need for adjuvants.

Self-amplifying mRNA vaccines include a special mRNA that replicates itself in the cell and contains a sequence for RNA replicase, in addition to the coding sequence for the protein. This composition enables increased production of the target protein without the need for a high amount of external mRNA administration. Such vaccines could trigger a longer and stronger immune response because the immune system has more time to interact with the protein.
 

Cancer Immunotherapy

Dr. Prelog also discussed personalized vaccines for cancer immunotherapy. Personalized mRNA vaccines are tailored to the patient’s genetic characteristics and antigens. They could be used in cancer immunotherapy to activate the immune system selectively against tumor cells.

Multivalent mRNA vaccines contain mRNA that codes for multiple antigens rather than just one protein to generate an immune response. These vaccines could be particularly useful in fighting pathogens with variable or changing surface structures or in eliciting protection against multiple pathogens simultaneously.

The technology of mRNA-encoded antibodies involves introducing mRNA into the cell, which creates light and heavy chains of antibodies. This step leads to the formation of antibodies targeted against toxins (eg, diphtheria and tetanus), animal venoms, infectious agents, or tumor cells.
 

Genetic Engineering

Dr. Prelog also reviewed genetic engineering techniques. In regenerative therapy or protein replacement therapy, skin fibroblasts or other cells are transfected with mRNA to enable conversion into induced pluripotent stem cells. This approach avoids the risk for DNA integration into the genome and associated mutation risks.

Another approach is making post-transcriptional modifications through RNA interference. For example, RNA structures can be used to inhibit the translation of disease-causing proteins. This technique is currently being tested against HIV and tumors such as melanoma.

In addition, mRNA technologies can be combined with CRISPR/Cas9 technology (“gene scissors”) to influence the creation of gene products even more precisely. The advantage of this technique is that mRNA is only transiently expressed, thus preventing unwanted side effects. Furthermore, mRNA is translated directly in the cytoplasm, leading to a faster initiation of gene editing.

Of the numerous ongoing clinical mRNA vaccine studies, around 70% focus on infections, about 12% on cancer, and the rest on autoimmune diseases and neurodegenerative disorders, said Dr. Prelog.
 

Research in Infections

Research in the fields of infectious diseases and oncology is the most advanced: mRNA vaccines against influenza and RSV are already in advanced clinical trials, Dr. Prelog told this news organization.

“Conventional influenza vaccines contain immunogenic surface molecules against hemagglutinin and neuraminidase in various combinations of influenza strains A and B and are produced in egg or cell cultures,” she said. “This is a time-consuming manufacturing process that takes months and, particularly with the egg-based process, bears the risk of changing the vaccine strain.”

“Additionally, influenza viruses undergo antigenic shift and drift through recombination, thus requiring annual adjustments to the vaccines. Thus, these influenza vaccines often lose accuracy in targeting circulating seasonal influenza strains.”

Several mRNA vaccines being tested contain not only coding sequences against hemagglutinin and neuraminidase but also for structural proteins of influenza viruses. “These are more conserved and mutate less easily, meaning they could serve as the basis for universal pandemic influenza vaccines,” said Dr. Prelog.

An advantage of mRNA vaccines, she added, is the strong cellular immune response that they elicit. This response is intended to provide additional protection alongside specific antibodies. An mRNA vaccine with coding sequences for the pre-fusion protein of RSV is in phase 3 trials for approval for vaccination in patients aged 60 years and older. It shows high effectiveness even in older patients and those with comorbidities.
 

Elaborate Purification Process

Bacterial origin plasmid DNA is used to produce mRNA vaccines. The mRNA vaccines for COVID-19 raised concerns that production-related DNA residues could pose a safety risk and cause autoimmune diseases.

These vaccines “typically undergo a very elaborate purification process,” said Dr. Prelog. “This involves enzymatic digestion with DNase to fragment and deplete plasmid DNA, followed by purification using chromatography columns, so that no safety-relevant DNA fragments should remain afterward.”

Thus, the Paul-Ehrlich-Institut also pointed out the very small, fragmented plasmid DNA residues of bacterial origin in mRNA COVID-19 vaccines pose no risk, unlike residual DNA from animal cell culture might pose in other vaccines.
 

Prevention and Therapy

In addition to the numerous advantages of mRNA vaccines (such as rapid adaptability to new or mutated pathogens, scalability, rapid production capability, self-adjuvant effect, strong induction of cellular immune responses, and safety), there are also challenges in RNA technology as a preventive and therapeutic measure, according to Dr. Prelog.

“Stability and storability, as well as the costs of new vaccine developments, play a role, as do the long-term effects regarding the persistence of antibody and cellular responses,” she said. The COVID-19 mRNA vaccines, for example, showed a well-maintained cellular immune response despite a tendency toward a rapid decline in humoral immune response.

“The experience with COVID-19 mRNA vaccines and the new vaccine developments based on mRNA technology give hope for an efficient and safe preventive and therapeutic use, particularly in the fields of infectious diseases and oncology,” Dr. Prelog concluded.

This story was translated from the Medscape German edition using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication. A version of this article appeared on Medscape.com.

Cisplatin is a preferred treatment for a wide range of cancers, including breast, head and neck, lung, ovary, and more. However, its side effects — particularly nephrotoxicity — can be severe. Kidney injury on cisplatin is associated with higher mortality and can jeopardize a patient’s eligibility for other therapies.

Now, in a large study using data from six US cancer centers, researchers have developed a risk algorithm to predict acute kidney injury (AKI) after cisplatin administration.

A risk prediction calculator based on the algorithm is available online for patients and providers to determine an individual patient›s risk for kidney injury from cisplatin using readily available clinical data.

Other risk scores and risk prediction models have been developed to help clinicians assess in advance whether a patient might develop AKI after receiving cisplatin, so that more careful monitoring, dose adjustments, or an alternative treatment, if available, might be considered.

However, previous models were limited by factors such as small sample sizes, lack of external validation, older data, and liberal definitions of AKI, said Shruti Gupta, MD, MPH, director of onco-nephrology at Brigham and Women’s Hospital (BWH) and Dana-Farber Cancer Institute, and David E. Leaf, MD, MMSc, director of clinical and translational research in AKI, Division of Renal Medicine, BWH, Boston.

Dr. Gupta and Dr. Leaf believe their risk score for predicting severe AKI after intravenous (IV) cisplatin, published online in The BMJ, is “more accurate and generalizable than prior models for several reasons,” they told this news organization in a joint email.

“First, we externally validated our findings across cancer centers other than the one where it was developed,” they said. “Second, we focused on moderate to severe kidney injury, the most clinically relevant form of kidney damage, whereas prior models examined more mild forms of kidney injury. Third, we collected data on nearly 25,000 patients receiving their first dose of IV cisplatin, which is larger than all previous studies combined.”
 

‘Herculean Effort’

“We conceived of this study back in 2018, contacted collaborators at each participating cancer center, and had numerous meetings to try to gather granular data on patients treated with their first dose of intravenous (IV) cisplatin,” Dr. Gupta and Dr. Leaf explained. They also incorporated patient feedback from focus groups and surveys.

“This was truly a Herculean effort that involved physicians, programmers, research coordinators, and patients,” they said.

The multicenter study included 24,717 patients — 11,766 in the derivation cohort and 12,951 in the validation cohort. Overall, the median age was about 60 years, about 58% were men, and about 78% were White.

The primary outcome was cisplatin-induced AKI (CP-AKI), defined as a twofold or greater increase in serum creatinine or kidney replacement therapy within 14 days of a first dose of IV cisplatin.

The researchers found that the incidence of CP-AKI was 5.2% in the derivation cohort and 3.3% in the validation cohort. Their simple risk score consisting of nine covariates — age, hypertension, type 2 diabetes, hemoglobin level, white blood cell count, platelet count, serum albumin level, serum magnesium level, and cisplatin dose — predicted a higher risk for CP-AKI in both cohorts.

Notably, adding serum creatinine to the model did not change the area under the curve, and therefore, serum creatinine, though also an independent risk factor for CP-AKI, was not included in the score.

Patients in the highest risk category had 24-fold higher odds of CP-AKI in the derivation cohort and close to 18-fold higher odds in the validation cohort than those in the lowest risk category.

The primary model had a C statistic of 0.75 (95% CI, 0.73-0.76) and showed better discrimination for CP-AKI than previously published models, for which the C statistics ranged from 0.60 to 0.68. The first author of a paper on an earlier model, Shveta Motwani, MD, MMSc, of BWH and Dana-Farber Cancer Institute in Boston, is also a coauthor of the new study.

Greater severity of CP-AKI was associated with shorter 90-day survival (adjusted hazard ratio, 4.63; 95% CI, 3.56-6.02) for stage III CP-AKI vs no CP-AKI.
 

‘Definitive Work’

Joel M. Topf, MD, a nephrologist with expertise in chronic kidney disease in Detroit, who wasn’t involved in the development of the risk score, called the study “a definitive work on an important concept in oncology and nephrology.”

“While this is not the first attempt to devise a risk score, it is by far the biggest,” he told this news organization. Furthermore, the authors “used a diverse population, recruiting patients with a variety of cancers (previous attempts had often used a homogenous diagnosis, putting into question how generalizable the results were) from six different cancer centers.”

In addition, he said, “The authors did not restrict patients with chronic kidney disease or other significant comorbidities and used the geographic diversity to produce a cohort that has an age, gender, racial, and ethnic distribution, which is more representative of the US than previous, single-center attempts to risk score patients.”

An earlier model used the Kidney Disease: Improving Global Outcomes (KDIGO) consensus definition of AKI of an increase in serum creatinine of 0.3 mg/dL, he noted. “While a sensitive definition of AKI, it captures mild, hemodynamic increases in creatinine of questionable significance,” he said.

By contrast, the new score uses KDIGO stage II and above to define AKI. “This is a better choice, as we do not want to dissuade patients and doctors from choosing chemotherapy due to a fear of insignificant kidney damage,” he said.

All that said, Dr. Topf noted that neither the current score nor the earlier model included serum creatinine. “This is curious to me and may represent the small number of patients with representative elevated creatinine in the derivation cohort (only 1.3% with an estimated glomerular filtration rate [eGFR] < 45).”

“Since the cohort is made up of people who received cis-platinum, the low prevalence of eGFRs < 45 may be due to physicians steering away from cis-platinum in this group,” he suggested. “It would be unfortunate if this risk score gave an unintentional ‘green light’ to these patients, exposing them to predictable harm.”
 

‘Certainly Useful’

Anushree Shirali, MD, an associate professor in the Section of Nephrology and consulting physician, Yale Onco-Nephrology, Yale School of Medicine, in New Haven, Connecticut, said that having a prediction score for which patients are more likely to develop AKI after a single dose of cisplatin would be helpful for oncologists, as well as nephrologists.

As a nephrologist, Dr. Shirali mostly sees patients who already have AKI, she told this news organization. But there are circumstances in which the tool could still be helpful.

“Let’s say someone has abnormal kidney function at baseline — ie, creatinine is higher than the normal range — and they were on dialysis 5 years ago for something else, and now, they have cancer and may be given cisplatin. They worry about their chances of getting AKI and needing dialysis again,” she said. “That’s just one scenario in which I might be asked to answer that question and the tool would certainly be useful.”

Other scenarios could include someone who has just one kidney because they donated a kidney for transplant years ago, and now, they have a malignancy and wonder what their actual risk is of getting kidney issues on cisplatin.

Oncologists could use the tool to determine whether a patient should be treated with cisplatin, or if they’re at high risk, whether an alternative that’s not nephrotoxic might be used. By contrast, “if somebody’s low risk and an oncologist thinks cisplatin is the best agent they have, then they might want to go ahead and use it,” Dr. Shirali said.

Future research could take into consideration that CP-AKI is dose dependent, she suggested, because a prediction score that included the number of cisplatin doses could be even more helpful to determine risk. And, even though the derivation and validation cohorts for the new tool are representative of the US population, additional research should also include more racial/ethnic diversity, she said.

Dr. Gupta and Dr. Leaf hope their tool “will be utilized immediately by patients and providers to help predict an individual’s risk of cisplatin-associated kidney damage. It is easy to use, available for free online, and incorporates readily available clinical variables.”

If a patient is at high risk, the clinical team can consider preventive measures such as administering more IV fluids before receiving cisplatin or monitoring kidney function more closely afterward, they suggested.

Dr. Gupta reported research support from the National Institutes of Health (NIH) and the National Institute of Diabetes and Digestive and Kidney Diseases. She also reported research funding from BTG International, GE HealthCare, and AstraZeneca outside the submitted work. She is a member of GlaxoSmithKline’s Global Anemia Council, a consultant for Secretome and Proletariat Therapeutics, and founder and president emeritus of the American Society of Onconephrology (unpaid). Dr. Leaf is supported by NIH grants, reported research support from BioPorto, BTG International, and Metro International Biotech, and has served as a consultant. Dr. Topf reported an ownership stake in a few DaVita-run dialysis clinics. He also runs a vascular access center and has participated in advisory boards with Cara Therapeutics, Vifor, Astra Zeneca, Bayer, Renibus Therapeutics, Travere Therapeutics, and GlaxoSmithKline. He is president of NephJC, a nonprofit educational organization with no industry support. Dr. Shirali declared no competing interests.

A version of this article appeared on Medscape.com.

Cisplatin is a preferred treatment for a wide range of cancers, including breast, head and neck, lung, ovary, and more. However, its side effects — particularly nephrotoxicity — can be severe. Kidney injury on cisplatin is associated with higher mortality and can jeopardize a patient’s eligibility for other therapies.

Now, in a large study using data from six US cancer centers, researchers have developed a risk algorithm to predict acute kidney injury (AKI) after cisplatin administration.

A risk prediction calculator based on the algorithm is available online for patients and providers to determine an individual patient›s risk for kidney injury from cisplatin using readily available clinical data.

Other risk scores and risk prediction models have been developed to help clinicians assess in advance whether a patient might develop AKI after receiving cisplatin, so that more careful monitoring, dose adjustments, or an alternative treatment, if available, might be considered.

However, previous models were limited by factors such as small sample sizes, lack of external validation, older data, and liberal definitions of AKI, said Shruti Gupta, MD, MPH, director of onco-nephrology at Brigham and Women’s Hospital (BWH) and Dana-Farber Cancer Institute, and David E. Leaf, MD, MMSc, director of clinical and translational research in AKI, Division of Renal Medicine, BWH, Boston.

Dr. Gupta and Dr. Leaf believe their risk score for predicting severe AKI after intravenous (IV) cisplatin, published online in The BMJ, is “more accurate and generalizable than prior models for several reasons,” they told this news organization in a joint email.

“First, we externally validated our findings across cancer centers other than the one where it was developed,” they said. “Second, we focused on moderate to severe kidney injury, the most clinically relevant form of kidney damage, whereas prior models examined more mild forms of kidney injury. Third, we collected data on nearly 25,000 patients receiving their first dose of IV cisplatin, which is larger than all previous studies combined.”
 

‘Herculean Effort’

“We conceived of this study back in 2018, contacted collaborators at each participating cancer center, and had numerous meetings to try to gather granular data on patients treated with their first dose of intravenous (IV) cisplatin,” Dr. Gupta and Dr. Leaf explained. They also incorporated patient feedback from focus groups and surveys.

“This was truly a Herculean effort that involved physicians, programmers, research coordinators, and patients,” they said.

The multicenter study included 24,717 patients — 11,766 in the derivation cohort and 12,951 in the validation cohort. Overall, the median age was about 60 years, about 58% were men, and about 78% were White.

The primary outcome was cisplatin-induced AKI (CP-AKI), defined as a twofold or greater increase in serum creatinine or kidney replacement therapy within 14 days of a first dose of IV cisplatin.

The researchers found that the incidence of CP-AKI was 5.2% in the derivation cohort and 3.3% in the validation cohort. Their simple risk score consisting of nine covariates — age, hypertension, type 2 diabetes, hemoglobin level, white blood cell count, platelet count, serum albumin level, serum magnesium level, and cisplatin dose — predicted a higher risk for CP-AKI in both cohorts.

Notably, adding serum creatinine to the model did not change the area under the curve, and therefore, serum creatinine, though also an independent risk factor for CP-AKI, was not included in the score.

Patients in the highest risk category had 24-fold higher odds of CP-AKI in the derivation cohort and close to 18-fold higher odds in the validation cohort than those in the lowest risk category.

The primary model had a C statistic of 0.75 (95% CI, 0.73-0.76) and showed better discrimination for CP-AKI than previously published models, for which the C statistics ranged from 0.60 to 0.68. The first author of a paper on an earlier model, Shveta Motwani, MD, MMSc, of BWH and Dana-Farber Cancer Institute in Boston, is also a coauthor of the new study.

Greater severity of CP-AKI was associated with shorter 90-day survival (adjusted hazard ratio, 4.63; 95% CI, 3.56-6.02) for stage III CP-AKI vs no CP-AKI.
 

‘Definitive Work’

Joel M. Topf, MD, a nephrologist with expertise in chronic kidney disease in Detroit, who wasn’t involved in the development of the risk score, called the study “a definitive work on an important concept in oncology and nephrology.”

“While this is not the first attempt to devise a risk score, it is by far the biggest,” he told this news organization. Furthermore, the authors “used a diverse population, recruiting patients with a variety of cancers (previous attempts had often used a homogenous diagnosis, putting into question how generalizable the results were) from six different cancer centers.”

In addition, he said, “The authors did not restrict patients with chronic kidney disease or other significant comorbidities and used the geographic diversity to produce a cohort that has an age, gender, racial, and ethnic distribution, which is more representative of the US than previous, single-center attempts to risk score patients.”

An earlier model used the Kidney Disease: Improving Global Outcomes (KDIGO) consensus definition of AKI of an increase in serum creatinine of 0.3 mg/dL, he noted. “While a sensitive definition of AKI, it captures mild, hemodynamic increases in creatinine of questionable significance,” he said.

By contrast, the new score uses KDIGO stage II and above to define AKI. “This is a better choice, as we do not want to dissuade patients and doctors from choosing chemotherapy due to a fear of insignificant kidney damage,” he said.

All that said, Dr. Topf noted that neither the current score nor the earlier model included serum creatinine. “This is curious to me and may represent the small number of patients with representative elevated creatinine in the derivation cohort (only 1.3% with an estimated glomerular filtration rate [eGFR] < 45).”

“Since the cohort is made up of people who received cis-platinum, the low prevalence of eGFRs < 45 may be due to physicians steering away from cis-platinum in this group,” he suggested. “It would be unfortunate if this risk score gave an unintentional ‘green light’ to these patients, exposing them to predictable harm.”
 

‘Certainly Useful’

Anushree Shirali, MD, an associate professor in the Section of Nephrology and consulting physician, Yale Onco-Nephrology, Yale School of Medicine, in New Haven, Connecticut, said that having a prediction score for which patients are more likely to develop AKI after a single dose of cisplatin would be helpful for oncologists, as well as nephrologists.

As a nephrologist, Dr. Shirali mostly sees patients who already have AKI, she told this news organization. But there are circumstances in which the tool could still be helpful.

“Let’s say someone has abnormal kidney function at baseline — ie, creatinine is higher than the normal range — and they were on dialysis 5 years ago for something else, and now, they have cancer and may be given cisplatin. They worry about their chances of getting AKI and needing dialysis again,” she said. “That’s just one scenario in which I might be asked to answer that question and the tool would certainly be useful.”

Other scenarios could include someone who has just one kidney because they donated a kidney for transplant years ago, and now, they have a malignancy and wonder what their actual risk is of getting kidney issues on cisplatin.

Oncologists could use the tool to determine whether a patient should be treated with cisplatin, or if they’re at high risk, whether an alternative that’s not nephrotoxic might be used. By contrast, “if somebody’s low risk and an oncologist thinks cisplatin is the best agent they have, then they might want to go ahead and use it,” Dr. Shirali said.

Future research could take into consideration that CP-AKI is dose dependent, she suggested, because a prediction score that included the number of cisplatin doses could be even more helpful to determine risk. And, even though the derivation and validation cohorts for the new tool are representative of the US population, additional research should also include more racial/ethnic diversity, she said.

Dr. Gupta and Dr. Leaf hope their tool “will be utilized immediately by patients and providers to help predict an individual’s risk of cisplatin-associated kidney damage. It is easy to use, available for free online, and incorporates readily available clinical variables.”

If a patient is at high risk, the clinical team can consider preventive measures such as administering more IV fluids before receiving cisplatin or monitoring kidney function more closely afterward, they suggested.

Dr. Gupta reported research support from the National Institutes of Health (NIH) and the National Institute of Diabetes and Digestive and Kidney Diseases. She also reported research funding from BTG International, GE HealthCare, and AstraZeneca outside the submitted work. She is a member of GlaxoSmithKline’s Global Anemia Council, a consultant for Secretome and Proletariat Therapeutics, and founder and president emeritus of the American Society of Onconephrology (unpaid). Dr. Leaf is supported by NIH grants, reported research support from BioPorto, BTG International, and Metro International Biotech, and has served as a consultant. Dr. Topf reported an ownership stake in a few DaVita-run dialysis clinics. He also runs a vascular access center and has participated in advisory boards with Cara Therapeutics, Vifor, Astra Zeneca, Bayer, Renibus Therapeutics, Travere Therapeutics, and GlaxoSmithKline. He is president of NephJC, a nonprofit educational organization with no industry support. Dr. Shirali declared no competing interests.

A version of this article appeared on Medscape.com.

Cisplatin is a preferred treatment for a wide range of cancers, including breast, head and neck, lung, ovary, and more. However, its side effects — particularly nephrotoxicity — can be severe. Kidney injury on cisplatin is associated with higher mortality and can jeopardize a patient’s eligibility for other therapies.

Now, in a large study using data from six US cancer centers, researchers have developed a risk algorithm to predict acute kidney injury (AKI) after cisplatin administration.

A risk prediction calculator based on the algorithm is available online for patients and providers to determine an individual patient›s risk for kidney injury from cisplatin using readily available clinical data.

Other risk scores and risk prediction models have been developed to help clinicians assess in advance whether a patient might develop AKI after receiving cisplatin, so that more careful monitoring, dose adjustments, or an alternative treatment, if available, might be considered.

However, previous models were limited by factors such as small sample sizes, lack of external validation, older data, and liberal definitions of AKI, said Shruti Gupta, MD, MPH, director of onco-nephrology at Brigham and Women’s Hospital (BWH) and Dana-Farber Cancer Institute, and David E. Leaf, MD, MMSc, director of clinical and translational research in AKI, Division of Renal Medicine, BWH, Boston.

Dr. Gupta and Dr. Leaf believe their risk score for predicting severe AKI after intravenous (IV) cisplatin, published online in The BMJ, is “more accurate and generalizable than prior models for several reasons,” they told this news organization in a joint email.

“First, we externally validated our findings across cancer centers other than the one where it was developed,” they said. “Second, we focused on moderate to severe kidney injury, the most clinically relevant form of kidney damage, whereas prior models examined more mild forms of kidney injury. Third, we collected data on nearly 25,000 patients receiving their first dose of IV cisplatin, which is larger than all previous studies combined.”
 

‘Herculean Effort’

“We conceived of this study back in 2018, contacted collaborators at each participating cancer center, and had numerous meetings to try to gather granular data on patients treated with their first dose of intravenous (IV) cisplatin,” Dr. Gupta and Dr. Leaf explained. They also incorporated patient feedback from focus groups and surveys.

“This was truly a Herculean effort that involved physicians, programmers, research coordinators, and patients,” they said.

The multicenter study included 24,717 patients — 11,766 in the derivation cohort and 12,951 in the validation cohort. Overall, the median age was about 60 years, about 58% were men, and about 78% were White.

The primary outcome was cisplatin-induced AKI (CP-AKI), defined as a twofold or greater increase in serum creatinine or kidney replacement therapy within 14 days of a first dose of IV cisplatin.

The researchers found that the incidence of CP-AKI was 5.2% in the derivation cohort and 3.3% in the validation cohort. Their simple risk score consisting of nine covariates — age, hypertension, type 2 diabetes, hemoglobin level, white blood cell count, platelet count, serum albumin level, serum magnesium level, and cisplatin dose — predicted a higher risk for CP-AKI in both cohorts.

Notably, adding serum creatinine to the model did not change the area under the curve, and therefore, serum creatinine, though also an independent risk factor for CP-AKI, was not included in the score.

Patients in the highest risk category had 24-fold higher odds of CP-AKI in the derivation cohort and close to 18-fold higher odds in the validation cohort than those in the lowest risk category.

The primary model had a C statistic of 0.75 (95% CI, 0.73-0.76) and showed better discrimination for CP-AKI than previously published models, for which the C statistics ranged from 0.60 to 0.68. The first author of a paper on an earlier model, Shveta Motwani, MD, MMSc, of BWH and Dana-Farber Cancer Institute in Boston, is also a coauthor of the new study.

Greater severity of CP-AKI was associated with shorter 90-day survival (adjusted hazard ratio, 4.63; 95% CI, 3.56-6.02) for stage III CP-AKI vs no CP-AKI.
 

‘Definitive Work’

Joel M. Topf, MD, a nephrologist with expertise in chronic kidney disease in Detroit, who wasn’t involved in the development of the risk score, called the study “a definitive work on an important concept in oncology and nephrology.”

“While this is not the first attempt to devise a risk score, it is by far the biggest,” he told this news organization. Furthermore, the authors “used a diverse population, recruiting patients with a variety of cancers (previous attempts had often used a homogenous diagnosis, putting into question how generalizable the results were) from six different cancer centers.”

In addition, he said, “The authors did not restrict patients with chronic kidney disease or other significant comorbidities and used the geographic diversity to produce a cohort that has an age, gender, racial, and ethnic distribution, which is more representative of the US than previous, single-center attempts to risk score patients.”

An earlier model used the Kidney Disease: Improving Global Outcomes (KDIGO) consensus definition of AKI of an increase in serum creatinine of 0.3 mg/dL, he noted. “While a sensitive definition of AKI, it captures mild, hemodynamic increases in creatinine of questionable significance,” he said.

By contrast, the new score uses KDIGO stage II and above to define AKI. “This is a better choice, as we do not want to dissuade patients and doctors from choosing chemotherapy due to a fear of insignificant kidney damage,” he said.

All that said, Dr. Topf noted that neither the current score nor the earlier model included serum creatinine. “This is curious to me and may represent the small number of patients with representative elevated creatinine in the derivation cohort (only 1.3% with an estimated glomerular filtration rate [eGFR] < 45).”

“Since the cohort is made up of people who received cis-platinum, the low prevalence of eGFRs < 45 may be due to physicians steering away from cis-platinum in this group,” he suggested. “It would be unfortunate if this risk score gave an unintentional ‘green light’ to these patients, exposing them to predictable harm.”
 

‘Certainly Useful’

Anushree Shirali, MD, an associate professor in the Section of Nephrology and consulting physician, Yale Onco-Nephrology, Yale School of Medicine, in New Haven, Connecticut, said that having a prediction score for which patients are more likely to develop AKI after a single dose of cisplatin would be helpful for oncologists, as well as nephrologists.

As a nephrologist, Dr. Shirali mostly sees patients who already have AKI, she told this news organization. But there are circumstances in which the tool could still be helpful.

“Let’s say someone has abnormal kidney function at baseline — ie, creatinine is higher than the normal range — and they were on dialysis 5 years ago for something else, and now, they have cancer and may be given cisplatin. They worry about their chances of getting AKI and needing dialysis again,” she said. “That’s just one scenario in which I might be asked to answer that question and the tool would certainly be useful.”

Other scenarios could include someone who has just one kidney because they donated a kidney for transplant years ago, and now, they have a malignancy and wonder what their actual risk is of getting kidney issues on cisplatin.

Oncologists could use the tool to determine whether a patient should be treated with cisplatin, or if they’re at high risk, whether an alternative that’s not nephrotoxic might be used. By contrast, “if somebody’s low risk and an oncologist thinks cisplatin is the best agent they have, then they might want to go ahead and use it,” Dr. Shirali said.

Future research could take into consideration that CP-AKI is dose dependent, she suggested, because a prediction score that included the number of cisplatin doses could be even more helpful to determine risk. And, even though the derivation and validation cohorts for the new tool are representative of the US population, additional research should also include more racial/ethnic diversity, she said.

Dr. Gupta and Dr. Leaf hope their tool “will be utilized immediately by patients and providers to help predict an individual’s risk of cisplatin-associated kidney damage. It is easy to use, available for free online, and incorporates readily available clinical variables.”

If a patient is at high risk, the clinical team can consider preventive measures such as administering more IV fluids before receiving cisplatin or monitoring kidney function more closely afterward, they suggested.

Dr. Gupta reported research support from the National Institutes of Health (NIH) and the National Institute of Diabetes and Digestive and Kidney Diseases. She also reported research funding from BTG International, GE HealthCare, and AstraZeneca outside the submitted work. She is a member of GlaxoSmithKline’s Global Anemia Council, a consultant for Secretome and Proletariat Therapeutics, and founder and president emeritus of the American Society of Onconephrology (unpaid). Dr. Leaf is supported by NIH grants, reported research support from BioPorto, BTG International, and Metro International Biotech, and has served as a consultant. Dr. Topf reported an ownership stake in a few DaVita-run dialysis clinics. He also runs a vascular access center and has participated in advisory boards with Cara Therapeutics, Vifor, Astra Zeneca, Bayer, Renibus Therapeutics, Travere Therapeutics, and GlaxoSmithKline. He is president of NephJC, a nonprofit educational organization with no industry support. Dr. Shirali declared no competing interests.

A version of this article appeared on Medscape.com.

The Mine Safety and Health Administration (MSHA) has announced a new final rule designed to protect miners from the dangers of exposure to silica dust, according to a press release from the US Department of Labor.

Respirable crystalline silica, also known as silica dust or quartz dust, is a known carcinogen associated with a range of serious health conditions including silicosis, lung cancer, progressive massive fibrosis, chronic bronchitis, and kidney disease. 

The MSHA final rule reduces the permissible exposure limit of respirable crystalline silica to 50 micrograms per cubic meter of air for a miner›s full-shift exposure, which was calculated as an 8-hour time-weighted average. If a miner’s exposure exceeds this limit, mine operators must take immediate action to comply with it, according to the new final rule. 

“It is unconscionable that our nation’s miners have worked without adequate protection from silica dust despite it being a known health hazard for decades,” said Department of Labor acting secretary Julie Su, in the press release. “The Department of Labor has taken an important action to finally reduce miners’ exposure to toxic silica dust and protect them from suffering from preventable diseases,” she said. 

The final rule requires mine operators to prevent miners’ overexposures by using engineering controls and to use environmental evaluations and dust samplings to monitor their exposures. The rule also updates standards for respiratory protection to include the latest advances in equipment and practices to safeguard miners against a range of airborne hazards including silica dust, diesel particulate matter, and asbestos.

In addition, the rule requires metal and nonmetal mine operators to establish medical surveillance programs and provide periodic health examinations to minors at no cost, similar to existing programs for coal miners, according to the press release. 

Implementation of the rule will result in approximately 1067 lifetime avoided deaths and 3746 lifetime avoided cases of silica-related illness, according to MSHA. 

“Congress gave MSHA the authority to regulate toxic substances to protect miners from health hazards and made clear in the Mine Act that miners’ health and safety must always be our first priority and concern,” said Chris Williamson, assistant secretary for mine safety and health, in the press release. “To further advance this directive, MSHA is committed to working together with everyone in the mining community to implement this rule successfully. No miner should ever have to sacrifice their health or lungs to provide for their family,” he said.

A version of this article appeared on Medscape.com.

The Mine Safety and Health Administration (MSHA) has announced a new final rule designed to protect miners from the dangers of exposure to silica dust, according to a press release from the US Department of Labor.

Respirable crystalline silica, also known as silica dust or quartz dust, is a known carcinogen associated with a range of serious health conditions including silicosis, lung cancer, progressive massive fibrosis, chronic bronchitis, and kidney disease. 

The MSHA final rule reduces the permissible exposure limit of respirable crystalline silica to 50 micrograms per cubic meter of air for a miner›s full-shift exposure, which was calculated as an 8-hour time-weighted average. If a miner’s exposure exceeds this limit, mine operators must take immediate action to comply with it, according to the new final rule. 

“It is unconscionable that our nation’s miners have worked without adequate protection from silica dust despite it being a known health hazard for decades,” said Department of Labor acting secretary Julie Su, in the press release. “The Department of Labor has taken an important action to finally reduce miners’ exposure to toxic silica dust and protect them from suffering from preventable diseases,” she said. 

The final rule requires mine operators to prevent miners’ overexposures by using engineering controls and to use environmental evaluations and dust samplings to monitor their exposures. The rule also updates standards for respiratory protection to include the latest advances in equipment and practices to safeguard miners against a range of airborne hazards including silica dust, diesel particulate matter, and asbestos.

In addition, the rule requires metal and nonmetal mine operators to establish medical surveillance programs and provide periodic health examinations to minors at no cost, similar to existing programs for coal miners, according to the press release. 

Implementation of the rule will result in approximately 1067 lifetime avoided deaths and 3746 lifetime avoided cases of silica-related illness, according to MSHA. 

“Congress gave MSHA the authority to regulate toxic substances to protect miners from health hazards and made clear in the Mine Act that miners’ health and safety must always be our first priority and concern,” said Chris Williamson, assistant secretary for mine safety and health, in the press release. “To further advance this directive, MSHA is committed to working together with everyone in the mining community to implement this rule successfully. No miner should ever have to sacrifice their health or lungs to provide for their family,” he said.

A version of this article appeared on Medscape.com.

The Mine Safety and Health Administration (MSHA) has announced a new final rule designed to protect miners from the dangers of exposure to silica dust, according to a press release from the US Department of Labor.

Respirable crystalline silica, also known as silica dust or quartz dust, is a known carcinogen associated with a range of serious health conditions including silicosis, lung cancer, progressive massive fibrosis, chronic bronchitis, and kidney disease. 

The MSHA final rule reduces the permissible exposure limit of respirable crystalline silica to 50 micrograms per cubic meter of air for a miner›s full-shift exposure, which was calculated as an 8-hour time-weighted average. If a miner’s exposure exceeds this limit, mine operators must take immediate action to comply with it, according to the new final rule. 

“It is unconscionable that our nation’s miners have worked without adequate protection from silica dust despite it being a known health hazard for decades,” said Department of Labor acting secretary Julie Su, in the press release. “The Department of Labor has taken an important action to finally reduce miners’ exposure to toxic silica dust and protect them from suffering from preventable diseases,” she said. 

The final rule requires mine operators to prevent miners’ overexposures by using engineering controls and to use environmental evaluations and dust samplings to monitor their exposures. The rule also updates standards for respiratory protection to include the latest advances in equipment and practices to safeguard miners against a range of airborne hazards including silica dust, diesel particulate matter, and asbestos.

In addition, the rule requires metal and nonmetal mine operators to establish medical surveillance programs and provide periodic health examinations to minors at no cost, similar to existing programs for coal miners, according to the press release. 

Implementation of the rule will result in approximately 1067 lifetime avoided deaths and 3746 lifetime avoided cases of silica-related illness, according to MSHA. 

“Congress gave MSHA the authority to regulate toxic substances to protect miners from health hazards and made clear in the Mine Act that miners’ health and safety must always be our first priority and concern,” said Chris Williamson, assistant secretary for mine safety and health, in the press release. “To further advance this directive, MSHA is committed to working together with everyone in the mining community to implement this rule successfully. No miner should ever have to sacrifice their health or lungs to provide for their family,” he said.

A version of this article appeared on Medscape.com.

TOPLINE:

Overall, patients with solid tumors who receive an investigational cancer drug experience small progression-free survival (PFS) and overall survival benefits but much higher toxicity than those who receive a control intervention.

METHODOLOGY:

• The view that patients with cancer benefit from access to investigational drugs in the clinical trial setting is widely held but does necessarily align with trial findings, which often show limited evidence of a clinical benefit. First, most investigational treatments assessed in clinical trials fail to gain regulatory approval, and the minority that are approved tend to offer minimal clinical benefit, experts explained.
• To estimate the survival benefit and toxicities associated with receiving experimental treatments, researchers conducted a meta-analysis of 128 trials comprising 141 comparisons of an investigational drug and a control treatment, which included immunotherapies and targeted therapies.
• The analysis included 42 trials in non–small cell lung cancer (NSCLC), 37 in breast cancer, 15 in hepatobiliary cancer, 13 in pancreatic cancer, 12 in colorectal cancer, and 10 in prostate cancer, involving a total of 47,050 patients.
• The primary outcome was PFS and secondary outcomes were overall survival and grades 3-5 serious adverse events.

TAKEAWAY:

• Overall, the experimental treatment was associated with a 20% improvement in PFS (pooled hazard ratio [HR], 0.80), corresponding to a median 1.25-month PFS advantage. The PFS benefit was seen across all cancer types, except pancreatic cancer.
• Overall survival improved by 8% with experimental agents (HR, 0.92), corresponding to 1.18 additional months. A significant overall survival benefit was seen across NSCLC, breast cancer, and hepatobiliary cancer trials but not pancreatic, prostate, colorectal cancer trials.
• Patients in the experimental intervention group, however, experienced much higher risk for grade 3-5 serious adverse events (risk ratio [RR], 1.27), corresponding to 7.40% increase in absolute risk. The greater risk for serious adverse events was significant for all indications except prostate cancer (RR, 1.13; 95% CI, 0.91-1.40).

IN PRACTICE:

“We believe our findings are best interpreted as suggesting that access to experimental interventions that have not yet received full FDA approval is associated with a marginal but nonzero clinical benefit,” the authors wrote. 

“Although our findings seem to reflect poorly on trials as a vehicle for extending survival for participants, they have reassuring implications for clinical investigators, policymakers, and institutional review boards,” the researchers said, explaining that this “scenario allows clinical trials to continue to pursue promising new treatments — supporting incremental advances that sum to large gains over extended periods of research — without disadvantaging patients in comparator groups.”

SOURCE: 

Renata Iskander, MSc, of McGill University, Montreal, Quebec, Canada, led this work, which was published online on April 29, 2024, in Annals of Internal Medicine.

LIMITATIONS:

There was high heterogeneity across studies due to variations in drugs tested, comparators used, and populations involved. The use of comparators below standard care could have inflated survival benefits. Additionally, data collected from ClinicalTrials.gov might be biased due to some trials not being reported. 

DISCLOSURES:

Canadian Institutes of Health Research supported this work. The authors received grants for this work from McGill University, Rossy Cancer Network, and National Science Foundation. One author received consulting fees outside this work. The other authors declared no competing interests.

A version of this article appeared on Medscape.com.

TOPLINE:

Overall, patients with solid tumors who receive an investigational cancer drug experience small progression-free survival (PFS) and overall survival benefits but much higher toxicity than those who receive a control intervention.

METHODOLOGY:

• The view that patients with cancer benefit from access to investigational drugs in the clinical trial setting is widely held but does necessarily align with trial findings, which often show limited evidence of a clinical benefit. First, most investigational treatments assessed in clinical trials fail to gain regulatory approval, and the minority that are approved tend to offer minimal clinical benefit, experts explained.
• To estimate the survival benefit and toxicities associated with receiving experimental treatments, researchers conducted a meta-analysis of 128 trials comprising 141 comparisons of an investigational drug and a control treatment, which included immunotherapies and targeted therapies.
• The analysis included 42 trials in non–small cell lung cancer (NSCLC), 37 in breast cancer, 15 in hepatobiliary cancer, 13 in pancreatic cancer, 12 in colorectal cancer, and 10 in prostate cancer, involving a total of 47,050 patients.
• The primary outcome was PFS and secondary outcomes were overall survival and grades 3-5 serious adverse events.

TAKEAWAY:

• Overall, the experimental treatment was associated with a 20% improvement in PFS (pooled hazard ratio [HR], 0.80), corresponding to a median 1.25-month PFS advantage. The PFS benefit was seen across all cancer types, except pancreatic cancer.
• Overall survival improved by 8% with experimental agents (HR, 0.92), corresponding to 1.18 additional months. A significant overall survival benefit was seen across NSCLC, breast cancer, and hepatobiliary cancer trials but not pancreatic, prostate, colorectal cancer trials.
• Patients in the experimental intervention group, however, experienced much higher risk for grade 3-5 serious adverse events (risk ratio [RR], 1.27), corresponding to 7.40% increase in absolute risk. The greater risk for serious adverse events was significant for all indications except prostate cancer (RR, 1.13; 95% CI, 0.91-1.40).

IN PRACTICE:

“We believe our findings are best interpreted as suggesting that access to experimental interventions that have not yet received full FDA approval is associated with a marginal but nonzero clinical benefit,” the authors wrote. 

“Although our findings seem to reflect poorly on trials as a vehicle for extending survival for participants, they have reassuring implications for clinical investigators, policymakers, and institutional review boards,” the researchers said, explaining that this “scenario allows clinical trials to continue to pursue promising new treatments — supporting incremental advances that sum to large gains over extended periods of research — without disadvantaging patients in comparator groups.”

SOURCE: 

Renata Iskander, MSc, of McGill University, Montreal, Quebec, Canada, led this work, which was published online on April 29, 2024, in Annals of Internal Medicine.

LIMITATIONS:

There was high heterogeneity across studies due to variations in drugs tested, comparators used, and populations involved. The use of comparators below standard care could have inflated survival benefits. Additionally, data collected from ClinicalTrials.gov might be biased due to some trials not being reported. 

DISCLOSURES:

Canadian Institutes of Health Research supported this work. The authors received grants for this work from McGill University, Rossy Cancer Network, and National Science Foundation. One author received consulting fees outside this work. The other authors declared no competing interests.

A version of this article appeared on Medscape.com.

TOPLINE:

Overall, patients with solid tumors who receive an investigational cancer drug experience small progression-free survival (PFS) and overall survival benefits but much higher toxicity than those who receive a control intervention.

METHODOLOGY:

• The view that patients with cancer benefit from access to investigational drugs in the clinical trial setting is widely held but does necessarily align with trial findings, which often show limited evidence of a clinical benefit. First, most investigational treatments assessed in clinical trials fail to gain regulatory approval, and the minority that are approved tend to offer minimal clinical benefit, experts explained.
• To estimate the survival benefit and toxicities associated with receiving experimental treatments, researchers conducted a meta-analysis of 128 trials comprising 141 comparisons of an investigational drug and a control treatment, which included immunotherapies and targeted therapies.
• The analysis included 42 trials in non–small cell lung cancer (NSCLC), 37 in breast cancer, 15 in hepatobiliary cancer, 13 in pancreatic cancer, 12 in colorectal cancer, and 10 in prostate cancer, involving a total of 47,050 patients.
• The primary outcome was PFS and secondary outcomes were overall survival and grades 3-5 serious adverse events.

TAKEAWAY:

• Overall, the experimental treatment was associated with a 20% improvement in PFS (pooled hazard ratio [HR], 0.80), corresponding to a median 1.25-month PFS advantage. The PFS benefit was seen across all cancer types, except pancreatic cancer.
• Overall survival improved by 8% with experimental agents (HR, 0.92), corresponding to 1.18 additional months. A significant overall survival benefit was seen across NSCLC, breast cancer, and hepatobiliary cancer trials but not pancreatic, prostate, colorectal cancer trials.
• Patients in the experimental intervention group, however, experienced much higher risk for grade 3-5 serious adverse events (risk ratio [RR], 1.27), corresponding to 7.40% increase in absolute risk. The greater risk for serious adverse events was significant for all indications except prostate cancer (RR, 1.13; 95% CI, 0.91-1.40).

IN PRACTICE:

“We believe our findings are best interpreted as suggesting that access to experimental interventions that have not yet received full FDA approval is associated with a marginal but nonzero clinical benefit,” the authors wrote. 

“Although our findings seem to reflect poorly on trials as a vehicle for extending survival for participants, they have reassuring implications for clinical investigators, policymakers, and institutional review boards,” the researchers said, explaining that this “scenario allows clinical trials to continue to pursue promising new treatments — supporting incremental advances that sum to large gains over extended periods of research — without disadvantaging patients in comparator groups.”

SOURCE: 

Renata Iskander, MSc, of McGill University, Montreal, Quebec, Canada, led this work, which was published online on April 29, 2024, in Annals of Internal Medicine.

LIMITATIONS:

There was high heterogeneity across studies due to variations in drugs tested, comparators used, and populations involved. The use of comparators below standard care could have inflated survival benefits. Additionally, data collected from ClinicalTrials.gov might be biased due to some trials not being reported. 

DISCLOSURES:

Canadian Institutes of Health Research supported this work. The authors received grants for this work from McGill University, Rossy Cancer Network, and National Science Foundation. One author received consulting fees outside this work. The other authors declared no competing interests.

A version of this article appeared on Medscape.com.