Utilizing Multi-omics analysis to elucidate the role of mitochondrial gene defects in Gastric cancer progression

作者：Jie Chu, Hanying Song, Kai Fu, Wei Xiao, Jiudong Jiang, Qixin Gan, Bo Deng · 发表于：PLoS ONE · 年份：2025 · DOI：10.1371/journal.pone.0325520 · 被引用次数：4 · 研究领域：Protein Tyrosine Phosphatases、Ferroptosis and cancer prognosis、Autophagy in Disease and Therapy

BACKGROUND: Gastric cancer is a leading cause of cancer-related mortality worldwide, with poor survival outcomes despite advances in diagnostic and therapeutic methods. Mitochondrial autophagy, or mitophagy, is crucial for maintaining cellular homeostasis and has significant implications in tumor biology. DUSP1, a bispecific phosphatase regulating MAP kinase activity, has been associated with various cancers, but its role in GC remains unclear. MATERIALS AND METHODS: In order to gain a deeper understanding of gastric cancer cells, this study utilized bulk RNA-seq data from TCGA and GEO, combined with the MSigDB database, to screen for mitophagy-related genes. Univariate Cox regression and LASSO analysis were employed to further identify key mitophagy-related genes. Single-cell RNA sequencing data from the database was analyzed using Seurat software to investigate the mitochondrial autophagy genes in each candidate gastric tissue. To clarify the functional pathways involved, enrichment analysis and differential gene expression analysis were conducted. The characteristics of the immune microenvironment were assessed using the CIBERSORT R package. Additionally, both the ssGSEA algorithm and the CIBERSORT algorithm were utilized to evaluate changes and effects in immunological characteristics during gastric cancer pathogenesis. RESULTS: We identified eight prognostic genes-STX10, CDC37, VPS35, RCAN1, TRIM25, DUSP1, SEC23A, and GLT8D1-using LASSO-Cox regression analysis. RCAN1 and...