Computationally Derived Image Signature of Stromal Morphology Is Prognostic of Prostate Cancer Recurrence Following Prostatectomy in African American Patients.

ABSTRACT:

Purpose

Between 30%-40% of patients with prostate cancer experience disease recurrence following radical prostatectomy. Existing clinical models for recurrence risk prediction do not account for population-based variation in the tumor phenotype, despite recent evidence suggesting the presence of a unique, more aggressive prostate cancer phenotype in African American (AA) patients. We investigated the capacity of digitally measured, population-specific phenotypes of the intratumoral stroma to create improved models for prediction of recurrence following radical prostatectomy.

Experimental design

This study included 334 radical prostatectomy patients subdivided into training (V_T, n = 127), validation 1 (V₁, n = 62), and validation 2 (V₂

SUBMITTER: Bhargava HK 

PROVIDER: S-EPMC7165025 | biostudies-literature | 2020 Apr

REPOSITORIES: biostudies-literature