ArticleFrontiers in oncology2023
Establishment of a prognostic model for ovarian cancer based on mitochondrial metabolism-related genes.
Article in Frontiers in oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed.
- Article
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- Mitochondrial Metabolic Biomarkers in Periodontitis: Discovery and Clinical Validation.International dental journal · 2026Article
- SUMOylation-Driven Subtype Heterogeneity and Prognostic Biomarkers in Renal Cell Carcinoma.Current issues in molecular biology · 2026Article
- Mitochondrial metabolism-associated biomarkers in oral lichen planus and oral squamous cell carcinoma.Functional & integrative genomics · 2026Article
- TCA-controlled histone succinylation identifies IDH3B as a prognostic and therapeutic target in AML.Clinical epigenetics · 2026Article
- SLC27A1 overexpression correlates with lactylation and poor colorectal cancer progression.Scientific reports · 2026Article
- SLC27, solute carrier 27 family, a long-chain fatty acid membrane transporters, in human cancers.Frontiers in cell and developmental biology · 2026Review
- High Co-Expression ofBiomedicines · 2025Article
- Deciphering the interaction between the expression of LRP2 served as a mitochondrial metabolism-related gene and prognosis in colon cancer integrating multi-omics analysis.Discover oncology · 2025Article
- Identification ofGenetics research · 2025Article
- Constructing a novel mitochondrial metabolism-related genes signature to evaluate tumor immune microenvironment and predict survival of colorectal cancer.Frontiers in medicine · 2025Article
- Identification and validation for biomarkers associated with mitochondrial metabolism in chronic obstructive pulmonary disease.Frontiers in medicine · 2025Article
- ZDHHC5 as a central regulator in a palmitoylation-associated prognostic model for lung adenocarcinoma: insights from pan-cancer and experimental analyses.Frontiers in immunology · 2025Article
- Prognostic Prediction and Immune Microenvironment Characterization in Uveal Melanoma: A Novel Mitochondrial Metabolism-Related Gene Signature.ACS omega · 2024Article
- Establishment of a prognostic model for pancreatic cancer based on mitochondrial metabolism related genes.Discover oncology · 2024Article
- Establishment of a Mitochondrial Metabolism-Related Diagnostic Model in Schizophrenia Based on LASSO Algorithm.Psychiatry investigation · 2024Article
- Construction and Analysis of a Mitochondrial Metabolism-Related Prognostic Model for Breast Cancer to Evaluate Survival and Immunotherapy.The Journal of membrane biology · 2024Article
- Kynurenine in IDO1Journal of translational medicine · 2024Article
- Identification and validation of new fatty acid metabolism-related mechanisms and biomarkers for erectile dysfunction.Sexual medicine · 2024Article
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3 authors.
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Abstract
Background: Mitochondrial metabolism and mitochondrial structure were found to be altered in high-grade serous ovarian cancer (HGSOC). The intent of this exploration was to systematically depict the relevance between mitochondrial metabolism-related genes (MMRGs) and the prognosis of HGSOC patients by bioinformatics analysis and establish a prognostic model for HGSOC. Methods: First of all, screened differentially expressed genes (DEGs) between TCGA-HGSOC and GTEx-normal by limma, with RNA-seq related HGSOC sourced from The Cancer Genome Atlas (TCGA) and the Genotype-Tissue Expression (GTEx) database. Subsequently, expressed MMRGs (DE-MMRGs) were acquired by overlapping DEGs with MMRGs, and an enrichment analysis of DE-MMRGs was performed. Kaplan-Meier (K-M) survival analysis and Cox regression analysis were conducted to validate the genes' prognostic value, Gene Set Enrichment Analysis (GSEA) to elucidate the molecular mechanisms of the risk score, and CIBERSORT algorithm to explore the immuno landscape of HGSOC patients. Finally, a drug sensitivity analysis was made Results: 436 HGSOC-related DE-MMRGs (222 up-regulated and 214 down-regulated) were observed to participate in multiple metabolic pathways. The study structured a MMRGs-related prognostic signature on the basis of IDO1, TNFAIP8L3, GPAT4, SLC27A1, ACSM3, ECI2, PPT2, and PMVK. Risk score was the independent prognostic element for HGSOC. Highly dangerous population was characterized by significant association with mitochondria-related biological processes, lower immune cell abundance, lower expression of immune checkpoint and antigenic molecules. Besides, 54 drugs associated with eight prognostic genes were obtained. Furthermore, copy number variation was bound up with the 8 prognostic genes in expression levels. Conclusion: We have preliminarily determined the prognostic value of MMRGs in HGSOC as well as relationship between MMRGs and the tumor immune microenvironment.
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