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Dataset Information

Establishment of a prognostic risk model for prostate cancer based on Gleason grading and cuprotosis related genes.


ABSTRACT:

Introduction

Prostate cancer (PCa) is common in aging males, diagnosed via the Gleason grading system. The study explores the unexamined prognostic value of cuprotosis, a distinct cell death type, alongside Gleason grades in PCa.

Methods

We explored Cuprotosis-related genes (CRGs) in prostate cancer (PCa), using NMF on TCGA-PRAD data for patient classification and WGCNA to link genes with Gleason scores and prognosis. A risk model was crafted via LASSO Cox regression. STX3 knockdown in PC-3 cells, analyzed for effects on cell behaviors and tumor growth in mice, highlighted its potential therapeutic impact.

Results

We identified five genes crucial for a prognostic risk model, with higher risk scores indicating worse prognosis. Survival analysis and ROC curves confirmed

SUBMITTER: Wang H 

PROVIDER: S-EPMC11291559 | biostudies-literature | 2024 Aug

REPOSITORIES: biostudies-literature