ArticleBMC medical informatics and decision making2022
A novel signature model based on mitochondrial-related genes for predicting survival of colon adenocarcinoma.
Article in BMC medical informatics and decision making, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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10 citing papers in PubMed, 12 citations in OpenAlex.
- Enhanced Collagen Prolyl 4-Hydroxylase Activity and Expression Promote Cancer Progression via Both Canonical and Non-Canonical Mechanisms.International journal of molecular sciences · 2025Review
- Illuminating the Role of Wound Healing-Related Hub Genes in Colorectal Adenocarcinoma: Molecular Mechanisms, Prognostic Implications and Therapeutic Potential.Current cancer drug targets · 2025Article
- Integration of single-cell and bulk RNA-seq via machine learning to reveal ferroptosis- and lipid metabolism-driven immune landscape heterogeneity and predict immunotherapy response in colon cancer.Frontiers in immunology · 2025Article
- Characterization of mitochondrial metabolism related molecular subtypes and immune infiltration in colorectal adenocarcinoma.Scientific reports · 2024Article
- Expression and prognostic impact ofTranslational cancer research · 2024Article
- Guidelines for mitochondrial RNA analysis.Molecular therapy. Nucleic acids · 2024Review
- Mitochondrial-related genes as prognostic and metastatic markers in breast cancer: insights from comprehensive analysis and clinical models.Frontiers in immunology · 2024Article
- Inhibition of TRAP1 Accelerates the DNA Damage Response, Activation of the Heat Shock Response and Metabolic Reprogramming in Colon Cancer Cells.Frontiers in bioscience (Landmark edition) · 2023Article
- The anoikis-related gene signature predicts survival accurately in colon adenocarcinoma.Scientific reports · 2023Article
- A Comprehensive Prognostic Model for Colon Adenocarcinoma Depending on Nuclear-Mitochondrial-Related Genes.Technology in cancer research & treatmentArticle
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2 authors at 1 institution in 1 country.
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Abstract
backgroundColon cancer is the foremost reason of cancer-related mortality worldwide. Colon adenocarcinoma constitutes 90% of colon cancer, and most patients with colon adenocarcinoma (COAD) are identified until advanced stage. With the emergence of an increasing number of novel pathogenic mechanisms and treatments, the role of mitochondria in the development of cancer, has been studied and reported with increasing frequency.
methodsWe systematically analyzed the effect of mitochondria-related genes in COAD utilizing RNA sequencing dataset from The Cancer Genome Atlas database and 1613 mitochondrial function-related genes from MitoMiner database. Our approach consisted of differentially expressed gene, gene set enrichment analysis, gene ontology terminology, Kyoto Encyclopedia of Genes and Genomes, independent prognostic analysis, univariate and multivariate analysis, Kaplan-Meier survival analysis, immune microenvironment correlation analysis, and Cox regression analysis.
resultsConsequently, 8 genes were identified to construct 8 mitochondrial-related gene model by applying Cox regression analysis, CDC25C, KCNJ11, NOL3, P4HA1, QSOX2, Trap1, DNAJC28, and ATCAY. Meanwhile, we assessed the connection between this model and clinical parameters or immune microenvironment. Risk score was an independent predictor for COAD patients' survival with an AUC of 0.687, 0.752 and 0.762 at 1-, 3- and 5-year in nomogram, respectively. The group with the highest risk score had the lowest survival rate and the worst clinical stages. Additionally, its predictive capacity was validated in GSE39582 cohort.
conclusionIn summary, we established a prognostic pattern of mitochondrial-related genes, which can predict overall survival in COAD, which may enable a more optimized approach for the clinical treatment and scientific study of COAD. This gene signature model has the potential to improve prognosis and treatment for COAD patients in the future, and to be widely implemented in clinical settings. The utilization of this mitochondrial-related gene signature model may be benefit in the treatments and medical decision-making of COAD.
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