Researchers studied prostate cancer samples from 352 participants in the NRG/RTOG 9601 clinical trial, which compared radiation therapy alone with radiation therapy combined with hormone therapy. The investigators found that the Decipher test, which measures the activity of 22 genes among seven known cancer pathways, independently estimated the participants’ risk of metastasis, death from prostate cancer, and overall survival. Researchers say it also guided treatment recommendations for recurrence of prostate cancer after surgery, helping identify patients most likely to benefit from hormone therapy.
Results were published online on Feb. 11 in the journal JAMA Oncology.
“The findings may be practice-changing, and will give oncologists additional information to help guide decisions on whether to offer patients hormone therapy,” says senior study author Phuoc Tran, M.D., Ph.D., professor of radiation oncology and molecular radiation sciences and co-director of the Cancer Invasion and Metastasis Program at the Johns Hopkins Kimmel Cancer Center.
For the study, Tran and colleagues studied prostate cancer samples from 352 men whose prostate cancer recurred after surgery and who participated in the NRG/RTOG 9601 clinical trial of radiation therapy between March 1998 and March 2003. The participants were randomized to receive radiation with hormone therapy (150 milligrams of bicalutamide daily for two years) or radiation therapy without hormone therapy. The researchers ran genetic information called ribonucleic acid (RNA) from the tumor tissue through the Decipher test, which evaluates the activity of 22 genes to predict how aggressive the cancer is and its chances of metastasis.
The test uses “genomic classifier scores” determined from the genomic characteristics of the tumor to stratify patients into three groups. Lower scores correlate with a more favorable prognosis. Of the participants, 148 patients (42%) had low genomic classifier scores, below .45; 132 (38%) had intermediate genomic classifier scores, between .45 and .60; and 72 (20%) had high genomic classifier scores, above .60. These genomic classifiers helped predict the risk of distant metastases, prostate cancer-specific death, and overall survival, even after adjusting for participants’ age, race/ethnicity, Gleason score, T stage of T1 to T4 to classify the extent of tumor spread, margin status, prostate-specific antigen level and whether they were receiving hormone therapy.
Specifically, patients with intermediate and high genomic classifier scores had an 88% increased risk of distant metastases versus those with low genomic classifier scores. The test also demonstrated that patients with lower genomic classifier scores had a 2.4% improvement in overall survival 12 years after treatment with radiation and hormone therapy, compared with an 8.9% improvement among those with higher genomic classifier scores. Additionally, patients receiving radiation therapy soon after recurrence benefited more from hormone therapy. Those with higher genomic classifier scores derived an 11.2% improvement in the 12-year occurrence of distant metastasis and a 4.6% improvement in overall survival from taking hormone therapy.
“Patients with lower scores do better overall, but they do not benefit as much from adding on hormone therapy because they are low risk. Patients with higher scores have worse disease and, therefore, benefit the most from adding the hormone therapy,” explains Tran.
“The way that we treat many patients in the clinic now is based on pathological and clinical factors, such as age, stage, grade, and imaging,” Tran says. “Those have been very helpful, but you can only go so far with these rough markers. Hormone therapy, unfortunately, has a whole host of side effects, such as lack of libido, lack of erections, and fatigue, and over time can increase the risk of diabetes, heart attack, or stroke, so you only want to prescribe it if it is clearly beneficial. Our study demonstrated that Decipher is prognostic in its ability to determine cancer metastasis and also prostate cancer-specific survival and overall survival. It also was able to determine the benefit of patients receiving hormones or no hormones.” Tran says the information the test provides guides precision medicine efforts to help physicians direct hormone therapies to those most likely to benefit from them.
The work was supported by grant U10CA180868 from NRG Oncology Operations, grant U10CA180822 from NRG Oncology SDMC, grant UG1CA189867 from NCORP, grant U24CA196067 from NRG Specimen Bank, and grant R01 CA240582 from the National Cancer Institute and Decipher Biosciences.
Other contributors to the work were from the University of California San Francisco Medical Center; Decipher Biosciences, San Diego; the University of Michigan; Cedars-Sinai Medical Center, Los Angeles; Brigham and Women’s Hospital, Boston; the University of Miami Miller School of Medicine; Massachusetts General Hospital, Boston; Thomas Jefferson University Hospital, Philadelphia; Emmes Canada, Vancouver; the NRG Oncology Statistics and Data Management Center, Philadelphia; the University of Chicago; Dana-Farber/Harvard Cancer Center, Boston; University College, London; Centre Hospitalier de l’Université de Montréal; Juravinski Cancer Centre at Hamilton Health Sciences, Canada; the Medical College of Wisconsin; Mayo Clinic; and WellSpan Health-York Cancer Center.
Tran reported receiving grants from Astellas Pharm, Bayer Healthcare, and RefleXion, and personal fees for consulting from RefleXion and Ad Board from Noxopharm outside the submitted work. Tran also reported having a patent licensed to Natsar Pharm. These relationships are being managed by The Johns Hopkins University in accordance with its conflict of interest policies.