上海交通大学学报（医学版）2025，Vol.45Issue(5)：549-561,13.DOI:10.3969/j.issn.1674-8115.2025.05.003
基于单细胞测序与转录组测序构建M2巨噬细胞基因相关的前列腺癌预后模型
Integrated single-cell and transcriptome sequencing to construct a prognostic model of M2 macrophage-related genes in prostate cancer
摘要
Abstract
Objective·To explore the prognostic value of M2 macrophage-related genes in prostate cancer(PCa),aiming to predict tumor prognosis more accurately and enable personalized treatment.Methods·RNA sequencing(RNA-seq)data of PCa were downloaded from The Cancer Genome Atlas(TCGA)database,and single-cell RNA sequencing(scRNA-seq)data were obtained from the Gene Expression Omnibus(GEO)database.The immune infiltration of TCGA samples was assessed using the CIBERSORTx algorithm.Differential genes in scRNA-seq data were identified using the FindMarkers function,and immune cell subtypes were characterized.M2 macrophage-related pathways and interactions with surrounding cells were explored through Gene Set Enrichment Analysis(GSEA)and the CellChat algorithm.M2 macrophage signature genes were selected to construct a prognostic model for PCa using univariate Cox and LASSO analyses.Based on the risk model,clinical characteristics,immune suppression,drug resistance,and drug sensitivity analyses were conducted.Results·In TCGA samples,patients with high M2 macrophage infiltration exhibited significantly lower progression-free survival(PFS).scRNA-seq analysis identified multiple subpopulations of tumor microenvironment(TME)cells.M2 macrophages interacted with various immune cells in TME,contributing to an immunosuppressive microenvironment and playing a key role in tumor promotion.Based on these findings,a PCa risk model was developed,incorporating TREM2,OTOA,SIGLEC1,and PLXDC1,which showed robust predictive performance in both training and validation cohorts.Patients with higher risk scores demonstrated a more immunosuppressive TME,decreased androgen receptor(AR)signaling activity,and worse clinical characteristics,leading to poorer outcomes.Drug prediction and sensitivity analyses identified six potential therapeutic agents that may offer improved efficacy for patients with higher risk scores.Conclusion·A prognostic model based on M2 macrophage-related genes in the TME has been constructed,providing a theoretical foundation for precision treatment in PCa.关键词
肿瘤相关巨噬细胞/前列腺癌/预后模型/肿瘤微环境Key words
tumor-associated macrophage/prostate cancer/prognostic model/tumor microenvironment分类
医药卫生引用本文复制引用
汤开然,冯成领,韩邦旻..基于单细胞测序与转录组测序构建M2巨噬细胞基因相关的前列腺癌预后模型[J].上海交通大学学报（医学版）,2025,45(5):549-561,13.基金项目
国家自然科学基金(82473440) （82473440）
上海市重中之重研究中心建设项目(2023ZZ02015). National Natural Science Foundation of China(82473440) （2023ZZ02015）
Shanghai Key Research Center Construction Project(2023ZZ02015). （2023ZZ02015）
