Personalizing Prostate Cancer Therapy Using AI-based Predictive Biomarkers - Paul Nguyen
June 14, 2023
In a discussion with Alicia Morgans, Paul Nguyen highlights the advancing role of predictive biomarkers in prostate cancer treatment. He distinguishes between prognostic and predictive biomarkers, emphasizing the unique value of the latter in tailoring the right amount of treatment for individual patients. They focus on the development of a commercial test by Artera that predicts responses to short-term androgen deprivation therapy (ADT) among intermediate-risk patients, helping determine the appropriateness of such treatment. Dr. Nguyen discusses the significant influence of integrating AI with digital pathology to create a robust biomarker model. Moving forward, they discuss a recent study examining long-term versus short-term ADT in high-risk patients, finding a biomarker to identify who would benefit from extended treatment. Dr. Nguyen is optimistic about the transformative potential of these biomarkers, marking a shift towards precision treatment in prostate cancer care.
Biographies:
Paul Nguyen, MD, Genitourinary Clinical Center Director, Radiation Oncology, Dana Farber Cancer Institute, Boston, Massachusetts
Alicia Morgans, MD, MPH, Genitourinary Medical Oncologist, Medical Director of Survivorship Program at Dana-Farber Cancer Institute, Boston, Massachusetts
Biographies:
Paul Nguyen, MD, Genitourinary Clinical Center Director, Radiation Oncology, Dana Farber Cancer Institute, Boston, Massachusetts
Alicia Morgans, MD, MPH, Genitourinary Medical Oncologist, Medical Director of Survivorship Program at Dana-Farber Cancer Institute, Boston, Massachusetts
Related Content:
ASCO 2023: AI-Derived Digital Pathology Biomarker Predicts Benefit of Long-Term ADT with Radiotherapy in Localized High-Risk Prostate Cancer
ASCO GU 2023: Patient-Level Data Meta-Analysis of a Multi-Modal Artificial Intelligence Prognostic Biomarker in High-Risk Prostate Cancer: Results from Six NRG/RTOG Phase III Randomized Trials
ASCO 2023: AI-Derived Digital Pathology Biomarker Predicts Benefit of Long-Term ADT with Radiotherapy in Localized High-Risk Prostate Cancer
ASCO GU 2023: Patient-Level Data Meta-Analysis of a Multi-Modal Artificial Intelligence Prognostic Biomarker in High-Risk Prostate Cancer: Results from Six NRG/RTOG Phase III Randomized Trials
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