Personalized radiotherapy benefit prediction in non-surgically managed prostate adenocarcinoma: a prognostic nomogram for survival risk stratification.

ABSTRACT:

Background

Prostate adenocarcinoma (PCa) imposes a significant global health burden. Radiotherapy is a primary local treatment for non-surgically managed patients; however, reliable tools to predict which individuals will derive a survival benefit are lacking. This study aimed to develop a risk stratification model to evaluate survival benefits of radiotherapy in non-surgically treated PCa patients and identify subgroups likely to benefit from radiotherapy.

Methods

Data from 100,155 non-surgically treated PCa patients [2004-2015] were retrieved from the Surveillance, Epidemiology, and End Results (SEER) database. All-subsets regression and multivariate Cox regression were used to construct nomograms for overall survival (OS) and cancer-specific survival (CSS), quantifying su

SUBMITTER: Wang L 

PROVIDER: S-EPMC12603869 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature