Identification and verification of exosome-related gene signature to predict the cancer status and prognosis of prostate cancer.

ABSTRACT:

Background

Prostate cancer is one of the common malignant tumors in men. Recent studies have reported that non-invasive liquid biopsy is of great significance in tumor diagnosis. We hope to find relevant detection genes to establish a diagnostic and prognostic model for prostate cancer.

Methods

This study was based on the RNA expression data of prostate cancer patients from the The Cancer Genome Atlas (TCGA) database and the data of exosome-related genes from the GeneCards website. Key exosome-related differential genes were identified through cluster modeling, univariate and multivariate regression analyses. The roles of these genes in the occurrence and prognosis of prostate cancer were assessed using ROC curves and survival analysis. Validation was performed using prostat

SUBMITTER: Wang H 

PROVIDER: S-EPMC12408422 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature