A tumor-associated macrophages related model for predicting biochemical recurrence and tumor immune environment in prostate cancer

Genomics. 2023 Sep;115(5):110691. doi: 10.1016/j.ygeno.2023.110691. Epub 2023 Jul 27.

Abstract

Objective: To identify tumor-associated macrophages (TAMs) related molecular subtypes and develop a TAMs related prognostic model for prostate cancer (PCa).

Methods: Consensus clustering analysis was used to identify TAMs related molecular clusters. A TAMs related prognostic model was developed using univariate and multivariate Cox analysis.

Results: Three TAMs related molecular clusters were identified and were confirmed to be associated with prognosis, clinicopathological characteristics, PD-L1 expression levels and tumor microenvironment. A TAMs related prognostic model was constructed. Patients in low-risk group all showed a more appreciable biochemical recurrence-free survival (BCRFS) than patients in high-risk group in train cohort, test cohort, entire TCGA cohort and validation cohort. SLC26A3 attenuated progression of PCa and prevented macrophage polarizing to TAMs phenotype, which was initially verified.

Conclusions: We successfully identified molecular clusters related to TAMs. Additionally, we developed a prognostic model involving TAMs that exhibits excellent predictive performance for biochemical recurrence-free survival in PCa.

Keywords: Biochemical recurrence; Prognosis; Prostate cancer; Tumor immune microenvironment; Tumor-associated macrophages.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Humans
  • Macrophages
  • Male
  • Phenotype
  • Prognosis
  • Prostatic Neoplasms* / metabolism
  • Tumor Microenvironment
  • Tumor-Associated Macrophages*