A team of researchers 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.
Biomarkers 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 of the study, who are from the SWOG Cancer Research Network, a cancer clinical trials group funded by the National Cancer Institute (NCI), will present their results as an oral abstract at the 2022 annual meeting of the American Society of Clinical Oncology (ASCO).
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,” Goldkorn says. “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, 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,” Goldkorn says.
Liquid Biopsy Study Results
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% of the patients they had tested, whether tumors would respond to neoadjuvant chemotherapy.
Featured image: Amir Goldkorn, MD, senior author of the abstract on SWOG S1314, 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. Photo: USC/Ricardo Carrasco III