Prognostic Prediction Model for Prostate Cancer in African American Men
Abstract
The incidence of prostate cancer is significantly greater, and the mortality rate is two times higher comparing African American (AA) men with Caucasian American (CA) men. To prevent overtreatment, predictive methods for identifying AA patients likely to develop recurrent disease are thus critical for selecting appropriate treatment. Unfortunately, existing predictive computational tools such as Partin Tables; Kattan, Shariat, Swanson, and Capra nomograms that rely solely on clinical variables; and stage are unable to predict with high accuracy which AA men with prostate cancer will progress toward recurrence and will undergo prostate cancer-specific death. Therefore, a better integrated risk assessment classifier for disease progression is urgently needed. We have assembled an exceptional research team consisting of a biomedical engineer/qualified collaborator (expert in medical image analysis and computational decision support), basic/translational urologist, urologic/oncologist, bio-statistician, and pathologist to generate race-related highly accurate predictive models for complex disease like prostate cancer. Through this proposal, we aim to develop an integrated risk assessment model consisting of a fused classifier utilizing a combination of quantitative histomorphometric and molecular biomarkers identified specifically in the context of AA men that can enable better prognostic prediction models of biochemical recurrence and prostate cancer specific survival compared to models that do not account for race-specific phenotypic differences. Successful development of this robust platform will have broad applications in race-based patient diagnosis, treatment, management, and prognostication.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Nov 19, 2019
- Source ID
- W81XWH1910720
Entities
People
- Sanjay Gupta
Organizations
- Case Western Reserve University
- United States Army