ArticlePloS one2023
Development and validation of a prognostic model for mitophagy-related genes in colon adenocarcinoma: A study based on TCGA and GEO databases.
Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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14 citing papers in PubMed, 12 citations in OpenAlex.
- Prognostic and immunological implications of a mitophagy-associated gene signature in bladder cancer.Translational andrology and urology · 2026Article
- Targeting PSAT1 in diabetic kidney disease: a ferroptosis-driven strategy for precision therapy.Molecular and cellular biochemistry · 2026Article
- Investigating the Mechanisms of Mitochondrial Dysfunction in Ischemic Stroke and Predicting Therapeutics Through Machine Learning and Integrated Bioinformatics.Current medicinal chemistry · 2026Article
- The potential of mitochondrial permeability transition-driven necrosis-related genes in prognostic evaluation of colorectal cancer patients.Frontiers in oncology · 2026Article
- Systems-level analysis uncovers eight hub genes and a resveratrol-based therapeutic strategy for ischemic stroke.Frontiers in pharmacology · 2026Article
- Protein Phosphatase 1 Regulatory Subunit 17 (PPP1R17) Regulates Cerebral Ischemia and Ischemia-Reperfusion Brain Injury by Suppressing YAP1-Mediated Mitophagy.Molecular neurobiology · 2025Article
- Discovery of a new mitophagy-related gene signature for predicting the outlook and immunotherapy in triple-negative breast cancer.Scientific reports · 2025Article
- The role of mitochondrial biogenesis, mitochondrial dynamics and mitophagy in gastrointestinal tumors.Cancer cell international · 2025Review
- A Novel Prognostic Signature of Mitophagy-Related E3 Ubiquitin Ligases in Breast Cancer.International journal of molecular sciences · 2025Article
- Constructing a novel mitochondrial metabolism-related genes signature to evaluate tumor immune microenvironment and predict survival of colorectal cancer.Frontiers in medicine · 2025Article
- To explore the prognostic characteristics of colon cancer based on tertiary lymphoid structure-related genes and reveal the characteristics of tumor microenvironment and drug prediction.Scientific reports · 2024Article
- Bioinformatic Analyses and Integrated Machine Learning to Predict prognosis and therapeutic response Based on E3 Ligase-Related Genes in colon cancer.Journal of Cancer · 2024Article
- Activated platelets facilitate hematogenous metastasis of breast cancer by modulating the PDGFR-β/COX-2 axis.iScience · 2023Article
- Development of a thyroid cancer prognostic model based on the mitophagy-associated differentially expressed genes.Discover oncology · 2023Article
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8 authors at 1 institution in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundMitophagy is used by eukaryotic cells to eliminate damaged mitochondria. The deregulation of this process can lead to an accumulation of dysfunctional mitochondria and is implicated in carcinogenesis and tumorigenesis. Despite increasing evidence that mitophagy is involved in the development of colon cancer, the role of mitophagy-related genes (MRGs) in colon adenocarcinoma (COAD) prognosis and treatment remains largely unknown.
methodsDifferential analysis was used to identify differentially expressed mitophagy-related genes associated with COAD and conduct key module screening. Cox regression and least absolute shrinkage selection operator, and other analyses were used to characterize prognosis-related genes and verify the feasibility of the model. The model was tested using GEO data and a nomogram was constructed for future clinical application. The level of immune cell infiltration and immunotherapy were compared between the two groups, and sensitivity to treatment with many commonly used chemotherapeutic agents was assessed in individuals with different risk factors. Finally, qualitative reverse transcription polymerase chain reaction and western blotting were performed to assess the expression of prognosis-related MRGs.
resultsA total of 461 differentially expressed genes were mined in COAD. Four prognostic genes, PPARGC1A, SLC6A1, EPHB2, and PPP1R17, were identified to construct a mitophagy-related gene signature. The feasibility of prognostic models was assessed using Kaplan-Meier analysis, time-dependent receiver operating characteristics, risk scores, Cox regression analysis, and principal component analysis. At 1, 3, and 5 years, the area under the receiver operating characteristic curves were 0.628, 0.678, and 0.755, respectively, for TCGA cohort, and 0.609, 0.634, and 0.640, respectively, for the GEO cohort. Drug sensitivity analysis found that camptothecin, paclitaxel, bleomycin, and doxorubicin were significantly different between low- and high-risk patients. The qPCR and western blotting results of clinical samples further confirmed the public database results.
conclusionsThis study successfully constructed a mitophagy-related gene signature with significant predictive value for COAD, informing new possibilities for the treatment of this disease.
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