Construction of regulatory T cells specific genes predictive models of prostate cancer patients based on machine learning: a computational analysis and in vitro experiments.

ABSTRACT:

Background

Diseases are often caused by multiple factors, regulatory T cells specific genes (RTSGs) have been shown to be associated with cancer, however, their role in prostate cancer (PRAD) has not been fully explored.

Methods

RTSGs associated with PRAD prognosis were identified using Cox regression analysis and LASSO analysis. Furthermore, a prognostic model was constructed in PRAD based on the 4 RTSGs, and its biological function were analyzed. We evaluated the differences in tumor immune microenvironment based on prognostic signature. Finally, cell experiments confirmed the function of synaptonemal complex protein-2 (SYCP2) in PRAD cells.

Results

The prognostic value of RTSGs in PRAD patients has been comprehensively analyzed for the first time and identified fou

SUBMITTER: Zhou Z 

PROVIDER: S-EPMC11825432 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature