A team of researchers from SWOG Cancer Research Network, a cancer clinical trials group funded by the National Cancer Institute (NCI), have shown that they can use methylation patterns in cell-free DNA (cfDNA) extracted from blood samples to predict which patients with muscle-invasive bladder cancer are likely to benefit from chemotherapy before their surgery. In the future, such a biomarker from a blood sample, or “liquid biopsy,” might save some patients from having to undergo a difficult chemotherapy regimen that would provide them little benefit.
The researchers will present their results as an oral abstract at the 2022 annual meeting of the American Society of Clinical Oncology (ASCO) on June 3 in Chicago (abstract 4506).
The senior author on the abstract is Amir Goldkorn, MD, a SWOG investigator who is the Kathryn M. Balakrishnan Chair for Cancer Research at the University of Southern California (USC) Norris Comprehensive Cancer Center, part of Keck Medicine of USC, and associate professor of medicine and of biochemistry and molecular medicine, Keck School of Medicine of USC.
“This study represents a novel application of noninvasive liquid biopsies to guide cancer management,” Dr. Goldkorn said. “We found that cfDNA methylation patterns in peripheral blood can be useful not only for tumor detection, but also for prediction of response to chemotherapy.”
The authors state that the work provides a proof of concept:
“With further validation,” Goldkorn said, “this approach may help physicians assess whether a patient with muscle invasive bladder cancer would benefit from receiving neoadjuvant chemotherapy prior to definitive radical cystectomy.”
The results are from a correlative study done within the SWOG S1314 clinical trial, which enrolled 237 patients with muscle-invasive urothelial bladder cancer that had not spread to other parts of the body (had not metastasized). All patients were treated with chemotherapy before surgery (neoadjuvant chemotherapy). Primary results from S1314 have been previously reported.
For the new results reported at ASCO 2022, researchers prospectively collected blood samples from 73 S1314 patients before chemotherapy and after one cycle of chemotherapy. They extracted cfDNA from those samples and profiled patterns of DNA methylation for each patient.
After patients underwent surgery, doctors examined the tumors removed to determine whether they had shrunk in response to chemotherapy. Each patient’s cancer was then classified as having responded or not responded to the chemotherapy.
With this data, researchers analyzed the cfDNA methylation patterns to identify differences in methylation between patients whose tumors had responded to neoadjuvant chemotherapy and those whose tumors had not responded. From this they developed a methylation-based response score (mR-score) that predicted whether a tumor would respond to neoadjuvant chemotherapy.
They also used the methylation data to calculate what fraction of a patient’s cfDNA was from the bladder. Combining this calculation with the mR-score, the researchers could correctly predict, in 79 percent of the patients they had tested, whether tumors would respond to neoadjuvant chemotherapy.
Study S1314 is supported by the NCI, part of the National Institutes of Health (NIH), led by SWOG, and conducted by the NIH-funded National Clinical Trials Network (NCTN).
The work reported here was funded by the NIH/NCI through grants CA180888 and CA180819, and in part by The Hope Foundation for Cancer Research and the Whittier Foundation for Cancer Research.
In addition to Goldkorn, the author team included Yi-Tsung Lu, MD, of Division of Medical Oncology, Department of Medicine, and Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California; Melissa Plets, MS, of SWOG Statistics and Data Management Center and Fred Hutchinson Cancer Research Center; Gareth Morrison, PhD, and Alexander T. Cunha, both of Division of Medical Oncology, Department of Medicine and Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California; Steven Y. Cen, Department of Radiology, Keck School of Medicine, University of Southern California; Suhn K. Rhie, PhD, Department of Biochemistry and Molecular Medicine and Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California; Kimberly D. Siegmund, PhD, Department of Population and Public Health Science, Keck School of Medicine, University of Southern California; Siamak Daneshmand, MD, of Department of Urology, Keck School of Medicine, University of Southern California; David I. Quinn, MD, PhD, of Division of Medical Oncology, Department of Medicine and Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California; Joshua J. Meeks, MD, PhD, of Departments of Urology, Biochemistry, and Molecular Genetics, Feinberg School of Medicine, Northwestern University; Seth P. Lerner, MD, of Scott Department of Urology, Dan L Duncan Cancer Center, Baylor College of Medicine; Daniel P. Petrylak, MD, of Smilow Cancer Center, Yale University; David McConkey, PhD, of Johns Hopkins School of Medicine; Thomas W. Flaig, MD, of University of Colorado School of Medicine; and Ian M. Thompson Jr., MD, of CHRISTUS Medical Center Hospital,University of Texas Health Science Center at San Antonio.
Reference: Lu Y-T et al, “Cell-free DNA methylation as a predictive biomarker of response to neoadjuvant chemotherapy for patients with muscle-invasive bladder cancer in SWOG S1314,” J Clin Oncol 40, 2022 (suppl 15; abstr 4506)
SWOG Cancer Research Network is part of the National Cancer Institute's National Clinical Trials Network and the NCI Community Oncology Research Program and is part of the oldest and largest publicly funded cancer research network in the nation. SWOG has nearly 12,000 members in 47 states and nine foreign countries who design and conduct clinical trials to improve the lives of people with cancer. SWOG trials have led to the approval of 14 cancer drugs, changed more than 100 standards of cancer care, and saved more than 3 million years of human life. Learn more at swog.org, and follow us on Twitter at @SWOG.
Method of Research
Randomized controlled/clinical trial
Subject of Research