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ABSTRACT: Background
The tumor microenvironment (TME) has recently been proven to play a crucial role in the development and prognosis of tumors. However, the current knowledge on the potential of the TME in prostate cancer (PCa) remains scarce.Purpose
This study aims to elucidate the value of TME-related genes for PCa prognosis by integrative bioinformatics analysis.Materials and methods
We downloaded the immune and stromal scores of PCa samples via the ESTIMATE and correlated these scores to clinicopathological characteristics and recurrence-free survival (RFS) of patients. Based on these scores, the TME-related differentially expressed genes were identified for functional enrichment analysis. Cox regression analyses were performed to identify prognostic genes and establish
SUBMITTER: Zhang Y
PROVIDER: S-EPMC8254424 | biostudies-literature | 2021
REPOSITORIES: biostudies-literature