New Data Published in JNCI Demonstrate Veracyte’s Decipher Prostate Genomic Classifier May Improve Identification of Aggressive Prostate Cancer in African American Men
Excerpt from the Press Release:
SOUTH SAN FRANCISCO, Calif.–(BUSINESS WIRE)–Veracyte, Inc. (Nasdaq: VCYT) announced that data published today in the Journal of the National Cancer Institute demonstrate that the company’s Decipher Prostate Genomic Classifier may help identify African American men with early, localized prostate cancer who are most likely to harbor more aggressive disease. The data, from the prospective, multi-site VANDAAM Phase 2 clinical study, suggest that the genomic test may offer a robust improvement over clinical factors alone in risk-stratifying prostate cancer among African American men, which may help reduce disparities in prostate cancer outcomes.
“While African American men have both higher incidence and mortality associated with prostate cancer, few prospective studies maximize recruitment of these men to provide an unbiased assessment of the genomic processes that underlie these disparities,” said Kosj Yamoah, MD, Ph.D., chair, Department of Radiation Oncology, Moffitt Cancer Center, and lead author on the published paper. “We very intentionally recruited a balanced sample of men into this study, but prioritized recruitment of African American men first in order to ensure we had a representative sample of this population, which historically has been underserved in prostate cancer clinical trials. The integration of the Decipher classifier with traditional clinical risk factors was shown to improve identification of the subset of African American men with more aggressive disease. This information could help guide targeted interventions and treatment strategies to improve outcomes in this population.”
The Decipher Prostate Genomic Classifier is a 22-gene prognostic biomarker that provides a low, intermediate or high score indicating the aggressiveness of an individual patient’s cancer, to help healthcare professionals more accurately categorize risk and select appropriate treatment.
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