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

Jia-Yin Chen; Xu-Yun Huang; Fei Lin; Qi You; Yu-Ting Xue; Bin Lin; Qing-Shui Zheng; Yong Wei; Xue-Yi Xue; Xiao-Dong Li; Dong-Ning Chen; Ning Xu

doi:10.1016/j.ygeno.2023.110691

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.

Authors

Jia-Yin Chen¹, Xu-Yun Huang¹, Fei Lin¹, Qi You¹, Yu-Ting Xue¹, Bin Lin¹, Qing-Shui Zheng¹, Yong Wei¹, Xue-Yi Xue¹, Xiao-Dong Li¹, Dong-Ning Chen², Ning Xu³

Affiliations

¹ Department of Urology, Urology Research Institute, The First Affiliated Hospital, Fujian Medical University, Fuzhou 350005, China; Department of Urology, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou 350212, China.
² Department of Urology, Urology Research Institute, The First Affiliated Hospital, Fujian Medical University, Fuzhou 350005, China; Department of Urology, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou 350212, China. Electronic address: chendongning@fjmu.edu.cn.
³ Department of Urology, Urology Research Institute, The First Affiliated Hospital, Fujian Medical University, Fuzhou 350005, China; Department of Urology, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou 350212, China; Fujian Key Laboratory of Precision Medicine for Cancer, The First Affiliated Hospital, Fujian Medical University, Fuzhou 350005, China. Electronic address: drxun@fjmu.edu.cn.

PMID: 37516327
DOI: 10.1016/j.ygeno.2023.110691

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*