ArticlePloS one2025
Mitochondria-related genes as prognostic signature of endometrial cancer and the effect of MACC1 on tumor cells.
Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Integrated single-cell and bulk transcriptomics reveals an IGF2BP3-driven metabolic circuitry in endometrial cancer.BMC cancer · 2026Article
- STOML2 interacts with PHB to activate the MEK/ERK signaling pathway and mediates autophagy‑related proteins in the progression of hepatocellular carcinoma.International journal of molecular medicine · 2026Article
- A nomogram for predicting prognosis in uterine serous carcinoma: a large population-based cohort study with external validation.Frontiers in oncology · 2026Article
- Integrative Analysis of Mitochondrial-Related Genes Reveals Diagnostic Biomarkers and Therapeutic Targets in Acute Pancreatitis.IET systems biologyArticle
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Authors and funding
7 authors.
Funding
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Abstract
Mitochondria are essential organelles involved in cell metabolism and are closely linked to various metabolic disorders. In this study, we aimed to develop a prognostic model for endometrial cancer (EC) patients based on mitochondria-related genes (MRGs), and to investigate the role of MACC1 in EC. As shown in the graphic summary, we retrieved gene expression and clinical data from open-access databases. To construct a predictive signature, we applied the Lasso Cox regression algorithm to MRGs. The predictive performance, immune features, and anti-tumor response of the mitochondrial signature were evaluated through multiple algorithms. Additionally, expression levels of key genes were validated using quantitative Real-Time PCR and Western Blot. A total of 2030 MRGs were retrieved, and 267 were found to be prognostically relevant. Eight MRGs-MACC1, CMPK2, NDUFAF6, DUSP18, TOMM40L, MT-TP, SAMM50, and MAIP1-were identified to construct a prognostic signature for EC. The MRG signature demonstrated significant associations with drug sensitivity, immune therapy, and immune cell infiltration. Based on comprehensive bioinformatic analysis, MACC1 was identified as the most promising MRG candidate in EC. Systematic experimental validation, including both in vitro and in vivo approaches, demonstrated that MACC1 down-regulation significantly suppressed EC progression, highlighting its potential as a therapeutic target.
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