biostudies-literatureZhang Ythe National Natural Science Foundation of China, Youth ProjectMedjaden Academy and Research Foundation for Young ScientistsNational Natural Science Foundation of China, Youth Projectthe Medjaden Academy &amp; Research Foundation for Young Scientists311https://www.ebi.ac.uk/biostudies/studies/S-EPMC11853322biostudies-literatureUnknown13(2)<b>Introduction</b>: Prostate cancer, notably prostate adenocarcinoma (PARD), has high incidence and mortality rates. Although typically resistant to immunotherapy, recent studies have found immune targets for prostate cancer. Stratifying patients by molecular subtypes may identify those who could benefit from immunotherapy. <b>Methods</b>: We used single-cell and bulk RNA sequencing data from GEO and TCGA databases. We characterized the tumor microenvironment at the single-cell level, analyzing cell interactions and identifying fibroblasts linked to mitophagy. Target genes were narrowed down at the bulk transcriptome level to construct a PARD prognosis prediction nomogram. Unsupervised consensus clustering classified PARD into subtypes, analyzing differences in clinical features, immune iBiomedicinesAn Integrated Approach Utilizing Single-Cell and Bulk RNA-Sequencing for the Identification of a Mitophagy-Associated Genes Signature: Implications for Prognostication and Therapeutic Stratification in Prostate Cancer.PMC11853322#822035058220340382203505MJR202310015Shen LLiu JMao SGuo YGu ZGeng JYao XDing LZhang WZhang ZZhang YKadier AYu YfalseAn Integrated Approach Utilizing Single-Cell and Bulk RNA-Sequencing for the Identification of a Mitophagy-Associated Genes Signature: Implications for Prognostication and Therapeutic Stratification in Prostate Cancer.<b>Introduction</b>: Prostate cancer, notably prostate adenocarcinoma (PARD), has high incidence and mortality rates. Although typically resistant to immunotherapy, recent studies have found immune targets for prostate cancer. Stratifying patients by molecular subtypes may identify those who could benefit from immunotherapy. <b>Methods</b>: We used single-cell and bulk RNA sequencing data from GEO and TCGA databases. We characterized the tumor microenvironment at the single-cell level, analyzing cell interactions and identifying fibroblasts linked to mitophagy. Target genes were narrowed down at the bulk transcriptome level to construct a PARD prognosis prediction nomogram. Unsupervised consensus clustering classified PARD into subtypes, analyzing differences in clinical features, immune i2025-01-01T00:00:00Z2025 Jan2026-06-02T03:16:26.88Z2025-04-04T02:45:29.801ZS-EPMC118533224000272410.3390/biomedicines13020311