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BOSTON – Fundamental questions remain over how best to use personalized medicine to predict and treat a variety of GI cancers, according to a panel of expert speakers at the 2017 AGA Tech Summit, sponsored by the AGA Center for GI Innovation and Technology.
“There are no rules presently, but we’re hoping to define some of the problems,” Abigail T. Berman, MD, MSCE, associate clinical director of the Penn Center for Precision Medicine in Philadelphia and associate professor of radiation oncology, told the audience. “To know how we’re going to pay for it, we need to define it.”
There’s a concern that the term “personalized medicine” implies that every patient should have an individualized treatment, something Dr. Berman said was not always true or even necessary. Given this concern, the growing preference in academic medicine is to refer to the emerging interdisciplinary approach to disease treatment – based on the interactions between genetic alleles, the environment, and lifestyle of an individual – as “precision” rather than “personalized” medicine. This includes the use of “precision medicines” – drugs and biologics that are biomarker tailored to a specific patient – and also technologies that can help predict a person’s risk for certain types of cancers.
Emerging technologies: Worth the cost?
Among the growing number of novel predictive tools for clinical use is the liquid biopsy. Mechanical engineer Shannon Stott, PhD, assistant professor of medicine at Harvard Medical School, Boston, described how she applies her knowledge of microfluidics, optics, tissue engineering, and cryopreservation to clinical medicine and cell biology. She is the coinventor of the Herringbone Circulating Tumor Cell Chip, a liquid biopsy device that captures cancer cells circulating in the bloodstream of localized and metastatic cancer patients. By observing the biology of these extremely rare cells, she and her collaborators are helping identify novel pathways for metastasis.
“One of our dreams is that we can isolate these cancer cells, grow them as cell lines, test out all the potential therapeutics that we could apply, and see what is actually targeting the cells that are in the patient’s bloodstream at that time,” Dr. Stott said.
She and her colleagues have been working on this process using breast cancer cells, and while their work is still preclinical, Dr. Stott said, “It’s interesting that the cells metastasize to the same location where we derived them from.”
“The take-home message is that we and others are starting to see evidence that liquid biopsies can provide clinically actionable information, even in the absence of a tissue biopsy,” Erica L. Carpenter, PhD, director of the Circulating Tumor Material Laboratory at the University of Pennsylvania, Philadelphia, said in an interview.
Although such research is ongoing, liquid biopsies are not ready for routine use to detect early stage disease, or for monitoring patients with minimal residual disease or those at risk for cancer, according to Dr. Carpenter. She said she expects the number and type of clinically relevant liquid biopsy tests will expand over the next 5-10 years, which will improve options for physicians.
“We are also exploring whether the sensitivity of current approaches for mutation detection in plasma can be improved to a point where such tests can be used beyond patients with advanced or metastatic disease.”
Dr. Carpenter, who was also a panelist in the discussion, described for the audience one of her own studies, a prospective look at 102 lung cancer patients.
“We found that although a clinical plasma DNA test was successfully completed for all patients, we were only able to complete tissue sequencing for half the patients. Said another way, for this cohort of advanced lung cancer patients, liquid biopsy was the only way to effectively detect mutations to help selection of therapy, including targeted therapies,” she said in the interview.
Other emerging predictive technologies for colorectal cancer prediction seek to repair defective DNA mismatch and detect specific mutations in tumors, according to panelist C. Richard Boland, MD, AGAF, professor of medicine at the University of California, San Diego.
Blood tests for miRNAs or other noncoding RNAs also show “promising data,” he said, although none of these tests have yet been verified as clinically useful. “We can probably do all these tests efficiently with a new diagnostic platform. Germline testing has gone to multigene platforms, and interpretation is the current challenge.”
Cost will drive innovation
Because precision medicine is high tech, it’s commonly assumed that it will prove too expensive to benefit the health of a population. Seen from a prevention perspective, however, that assumption is not necessarily true. Still, skepticism about the cost of precision medicine remains, Dr. Berman, citing an in-submission article she coauthored that compared standard to targeted therapy, said that for every $1,000 spent on targeted therapy, patients lived an average of 0.129 months vs. about 0.126 per $1,000 spent on standard therapies.
“Maybe we’re not saving payers money, but the field is not necessarily spending more and the patients are living longer,” she said. “This might be difficult to think about in front of the patient, but on the societal level, as reimbursements are decreasing, these are value-based therapies.”
Perhaps the biggest hurdle to establishing how to incorporate precision medicine into practice is data collection. Payers are starting to request multiple data streams to determine when a test or procedure is medically necessary or investigational. Other questions are what should be done when a test or procedure does not fit current evidentiary standards and at what point should it become exploratory. “The bottom line is that there is no consensus as to what payers should routinely reimburse,” she said.
In terms of managing the cost of targeted therapies, current debate seems to focus on a few potential solutions, according to Dr. Berman. One example is to develop a special entity that will pay for precision medicines up front, then the patient pays back the amount over time, with interest. Another possible solution is to spread the cost over large pools of individuals, rather than over large employee pools, similar to the way catastrophic insurance is currently structured. An additional critical approach is to conduct research using novel clinical trial designs, such as “basket” trials, where different tumors with the same mutation are given a similar targeted therapy. And yet another important approach is to standardize testing as much as possible to cut the cost of deviations in screening and treatment pathways.
Regardless of the solution, Dr. Berman said that at the heart of precision medicine should be ensuring that every patient is being treated in the most effective and value-based way.
–Heidi Splete contributed to this article.
BOSTON – Fundamental questions remain over how best to use personalized medicine to predict and treat a variety of GI cancers, according to a panel of expert speakers at the 2017 AGA Tech Summit, sponsored by the AGA Center for GI Innovation and Technology.
“There are no rules presently, but we’re hoping to define some of the problems,” Abigail T. Berman, MD, MSCE, associate clinical director of the Penn Center for Precision Medicine in Philadelphia and associate professor of radiation oncology, told the audience. “To know how we’re going to pay for it, we need to define it.”
There’s a concern that the term “personalized medicine” implies that every patient should have an individualized treatment, something Dr. Berman said was not always true or even necessary. Given this concern, the growing preference in academic medicine is to refer to the emerging interdisciplinary approach to disease treatment – based on the interactions between genetic alleles, the environment, and lifestyle of an individual – as “precision” rather than “personalized” medicine. This includes the use of “precision medicines” – drugs and biologics that are biomarker tailored to a specific patient – and also technologies that can help predict a person’s risk for certain types of cancers.
Emerging technologies: Worth the cost?
Among the growing number of novel predictive tools for clinical use is the liquid biopsy. Mechanical engineer Shannon Stott, PhD, assistant professor of medicine at Harvard Medical School, Boston, described how she applies her knowledge of microfluidics, optics, tissue engineering, and cryopreservation to clinical medicine and cell biology. She is the coinventor of the Herringbone Circulating Tumor Cell Chip, a liquid biopsy device that captures cancer cells circulating in the bloodstream of localized and metastatic cancer patients. By observing the biology of these extremely rare cells, she and her collaborators are helping identify novel pathways for metastasis.
“One of our dreams is that we can isolate these cancer cells, grow them as cell lines, test out all the potential therapeutics that we could apply, and see what is actually targeting the cells that are in the patient’s bloodstream at that time,” Dr. Stott said.
She and her colleagues have been working on this process using breast cancer cells, and while their work is still preclinical, Dr. Stott said, “It’s interesting that the cells metastasize to the same location where we derived them from.”
“The take-home message is that we and others are starting to see evidence that liquid biopsies can provide clinically actionable information, even in the absence of a tissue biopsy,” Erica L. Carpenter, PhD, director of the Circulating Tumor Material Laboratory at the University of Pennsylvania, Philadelphia, said in an interview.
Although such research is ongoing, liquid biopsies are not ready for routine use to detect early stage disease, or for monitoring patients with minimal residual disease or those at risk for cancer, according to Dr. Carpenter. She said she expects the number and type of clinically relevant liquid biopsy tests will expand over the next 5-10 years, which will improve options for physicians.
“We are also exploring whether the sensitivity of current approaches for mutation detection in plasma can be improved to a point where such tests can be used beyond patients with advanced or metastatic disease.”
Dr. Carpenter, who was also a panelist in the discussion, described for the audience one of her own studies, a prospective look at 102 lung cancer patients.
“We found that although a clinical plasma DNA test was successfully completed for all patients, we were only able to complete tissue sequencing for half the patients. Said another way, for this cohort of advanced lung cancer patients, liquid biopsy was the only way to effectively detect mutations to help selection of therapy, including targeted therapies,” she said in the interview.
Other emerging predictive technologies for colorectal cancer prediction seek to repair defective DNA mismatch and detect specific mutations in tumors, according to panelist C. Richard Boland, MD, AGAF, professor of medicine at the University of California, San Diego.
Blood tests for miRNAs or other noncoding RNAs also show “promising data,” he said, although none of these tests have yet been verified as clinically useful. “We can probably do all these tests efficiently with a new diagnostic platform. Germline testing has gone to multigene platforms, and interpretation is the current challenge.”
Cost will drive innovation
Because precision medicine is high tech, it’s commonly assumed that it will prove too expensive to benefit the health of a population. Seen from a prevention perspective, however, that assumption is not necessarily true. Still, skepticism about the cost of precision medicine remains, Dr. Berman, citing an in-submission article she coauthored that compared standard to targeted therapy, said that for every $1,000 spent on targeted therapy, patients lived an average of 0.129 months vs. about 0.126 per $1,000 spent on standard therapies.
“Maybe we’re not saving payers money, but the field is not necessarily spending more and the patients are living longer,” she said. “This might be difficult to think about in front of the patient, but on the societal level, as reimbursements are decreasing, these are value-based therapies.”
Perhaps the biggest hurdle to establishing how to incorporate precision medicine into practice is data collection. Payers are starting to request multiple data streams to determine when a test or procedure is medically necessary or investigational. Other questions are what should be done when a test or procedure does not fit current evidentiary standards and at what point should it become exploratory. “The bottom line is that there is no consensus as to what payers should routinely reimburse,” she said.
In terms of managing the cost of targeted therapies, current debate seems to focus on a few potential solutions, according to Dr. Berman. One example is to develop a special entity that will pay for precision medicines up front, then the patient pays back the amount over time, with interest. Another possible solution is to spread the cost over large pools of individuals, rather than over large employee pools, similar to the way catastrophic insurance is currently structured. An additional critical approach is to conduct research using novel clinical trial designs, such as “basket” trials, where different tumors with the same mutation are given a similar targeted therapy. And yet another important approach is to standardize testing as much as possible to cut the cost of deviations in screening and treatment pathways.
Regardless of the solution, Dr. Berman said that at the heart of precision medicine should be ensuring that every patient is being treated in the most effective and value-based way.
–Heidi Splete contributed to this article.
BOSTON – Fundamental questions remain over how best to use personalized medicine to predict and treat a variety of GI cancers, according to a panel of expert speakers at the 2017 AGA Tech Summit, sponsored by the AGA Center for GI Innovation and Technology.
“There are no rules presently, but we’re hoping to define some of the problems,” Abigail T. Berman, MD, MSCE, associate clinical director of the Penn Center for Precision Medicine in Philadelphia and associate professor of radiation oncology, told the audience. “To know how we’re going to pay for it, we need to define it.”
There’s a concern that the term “personalized medicine” implies that every patient should have an individualized treatment, something Dr. Berman said was not always true or even necessary. Given this concern, the growing preference in academic medicine is to refer to the emerging interdisciplinary approach to disease treatment – based on the interactions between genetic alleles, the environment, and lifestyle of an individual – as “precision” rather than “personalized” medicine. This includes the use of “precision medicines” – drugs and biologics that are biomarker tailored to a specific patient – and also technologies that can help predict a person’s risk for certain types of cancers.
Emerging technologies: Worth the cost?
Among the growing number of novel predictive tools for clinical use is the liquid biopsy. Mechanical engineer Shannon Stott, PhD, assistant professor of medicine at Harvard Medical School, Boston, described how she applies her knowledge of microfluidics, optics, tissue engineering, and cryopreservation to clinical medicine and cell biology. She is the coinventor of the Herringbone Circulating Tumor Cell Chip, a liquid biopsy device that captures cancer cells circulating in the bloodstream of localized and metastatic cancer patients. By observing the biology of these extremely rare cells, she and her collaborators are helping identify novel pathways for metastasis.
“One of our dreams is that we can isolate these cancer cells, grow them as cell lines, test out all the potential therapeutics that we could apply, and see what is actually targeting the cells that are in the patient’s bloodstream at that time,” Dr. Stott said.
She and her colleagues have been working on this process using breast cancer cells, and while their work is still preclinical, Dr. Stott said, “It’s interesting that the cells metastasize to the same location where we derived them from.”
“The take-home message is that we and others are starting to see evidence that liquid biopsies can provide clinically actionable information, even in the absence of a tissue biopsy,” Erica L. Carpenter, PhD, director of the Circulating Tumor Material Laboratory at the University of Pennsylvania, Philadelphia, said in an interview.
Although such research is ongoing, liquid biopsies are not ready for routine use to detect early stage disease, or for monitoring patients with minimal residual disease or those at risk for cancer, according to Dr. Carpenter. She said she expects the number and type of clinically relevant liquid biopsy tests will expand over the next 5-10 years, which will improve options for physicians.
“We are also exploring whether the sensitivity of current approaches for mutation detection in plasma can be improved to a point where such tests can be used beyond patients with advanced or metastatic disease.”
Dr. Carpenter, who was also a panelist in the discussion, described for the audience one of her own studies, a prospective look at 102 lung cancer patients.
“We found that although a clinical plasma DNA test was successfully completed for all patients, we were only able to complete tissue sequencing for half the patients. Said another way, for this cohort of advanced lung cancer patients, liquid biopsy was the only way to effectively detect mutations to help selection of therapy, including targeted therapies,” she said in the interview.
Other emerging predictive technologies for colorectal cancer prediction seek to repair defective DNA mismatch and detect specific mutations in tumors, according to panelist C. Richard Boland, MD, AGAF, professor of medicine at the University of California, San Diego.
Blood tests for miRNAs or other noncoding RNAs also show “promising data,” he said, although none of these tests have yet been verified as clinically useful. “We can probably do all these tests efficiently with a new diagnostic platform. Germline testing has gone to multigene platforms, and interpretation is the current challenge.”
Cost will drive innovation
Because precision medicine is high tech, it’s commonly assumed that it will prove too expensive to benefit the health of a population. Seen from a prevention perspective, however, that assumption is not necessarily true. Still, skepticism about the cost of precision medicine remains, Dr. Berman, citing an in-submission article she coauthored that compared standard to targeted therapy, said that for every $1,000 spent on targeted therapy, patients lived an average of 0.129 months vs. about 0.126 per $1,000 spent on standard therapies.
“Maybe we’re not saving payers money, but the field is not necessarily spending more and the patients are living longer,” she said. “This might be difficult to think about in front of the patient, but on the societal level, as reimbursements are decreasing, these are value-based therapies.”
Perhaps the biggest hurdle to establishing how to incorporate precision medicine into practice is data collection. Payers are starting to request multiple data streams to determine when a test or procedure is medically necessary or investigational. Other questions are what should be done when a test or procedure does not fit current evidentiary standards and at what point should it become exploratory. “The bottom line is that there is no consensus as to what payers should routinely reimburse,” she said.
In terms of managing the cost of targeted therapies, current debate seems to focus on a few potential solutions, according to Dr. Berman. One example is to develop a special entity that will pay for precision medicines up front, then the patient pays back the amount over time, with interest. Another possible solution is to spread the cost over large pools of individuals, rather than over large employee pools, similar to the way catastrophic insurance is currently structured. An additional critical approach is to conduct research using novel clinical trial designs, such as “basket” trials, where different tumors with the same mutation are given a similar targeted therapy. And yet another important approach is to standardize testing as much as possible to cut the cost of deviations in screening and treatment pathways.
Regardless of the solution, Dr. Berman said that at the heart of precision medicine should be ensuring that every patient is being treated in the most effective and value-based way.
–Heidi Splete contributed to this article.
AT THE 2017 AGA TECH SUMMIT