Quantitative Proteomics-Based Prostate Cancer Prediction Models for African American and Caucasian American Military Patients
Abstract
In 2019, an estimated 174,650 men will be newly diagnosed with prostate cancer and 31,620 men will die from this disease in the United States. The burden of the disease is particularly heavy on African Americans, who are 1.5 times more likely to develop prostate cancer and 2.5 times more likely to die of this disease, compared to Caucasian Americans. Studies have shown that there are significant differences in clinical presentation between African American and Caucasian Americans at time of initial cancer detection. However, data on early markers of detection for PCa specific to African American men are very limited, potentially leading to sub-optimal care. Our study goal is to provide data and tools that can be used to predict cancer events based on a patients self-reported race, his tumor characteristics, and his health status, so that patients can make treatment decisions based on sound scientific data and physicians can tailor prostate cancer therapy to African American patients to achieve optimal outcomes. This proposal will biological factors that may contribute to racial disparities in PCa incidence and outcomes. 1) To provide comprehensive data for the entire prostate cancer course among African American men. The Center for Prostate Disease Research has collected detailed clinical data for over 25 years on more than 29,500 men, of who roughly one-third (10,000) remain cancer free and two thirds are biopsy-confirmed for PCa (20,000). Within this cohort, 20 percent of men self identifies as an African American (6,000). This cohort is uniquely suited to provide the most comprehensive race-specific data about prostate cancer status and aggressiveness. There is no expert consensus on how to predict which men will be detected with cancer that has already spread to other parts of the body.
Document Details
- Document Type
- Technical Report
- Publication Date
- Oct 01, 2021
- Accession Number
- AD1156301
Entities
People
- Jennifer Cullen
Organizations
- Case Western Reserve University
- Pacific Northwest National Laboratory