Prostate Cancer Modeling
The CISNET Prostate Working Group (PWG) has focused on modeling prostate cancer progression, screening, and treatment in the U.S. population, assuming biologically plausible assumptions validated against various data sources. The most effective ways to personalize the prevention and treatment of prostate cancer using data from an individual patient are unknown. The PWG applies a unique inter-disciplinary approach that combines available data with modern statistical techniques to understand long-term effects of prostate cancer interventions. In the current round, the PWG will evaluate personalizing patient care, including screening high-risk men more frequently, using biomarkers and imaging tests to select patients for biopsy, using patient and cancer features to determine when and which kinds of treatment to offer, and practical approaches for reducing racial disparities. This work will advance the evidence necessary to make informed decisions about individualized screening and treatment for this most common cancer in men. The specific aims are:
- Precision early detection, including risk-stratified screening and biopsy using genetic tests, novel biomarkers, and imaging technology
- Precision active surveillance, including adaptive biopsy intervals and imaging technology
- Precision treatment, including type and timing of initial and salvage therapies.
- Targeting screening, biopsy, and treatment policies to reduce racial disparities
- Prioritizing screening and treatment interventions in international settings.