Identification of a basement membrane gene signature for predicting prognosis and estimating the tumor immune microenvironment in prostate cancer.

ABSTRACT: Basement membrane plays an important role in tumor invasion and metastasis, which is closely related to prognosis. However, the prognostic value and biology of basement membrane genes (BMGs) in prostate cancer (PCa) remain unknown. In the TCGA training set, we used differentially expressed gene analysis, protein-protein interaction networks, univariate and multivariate Cox regression, and least absolute shrinkage and selection operator regression to construct a basement membrane-related risk model (BMRM) and validated its effectiveness in the MSKCC validation set. Furthermore, the accurate nomogram was constructed to improve clinical applicability. Patients with PCa were divided into high-risk and low-risk groups according to the optimal cut-off value of the basement membrane-related risk

SUBMITTER: Xie T 

PROVIDER: S-EPMC10866409 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature