ArticleDiscover oncology2023
Mitophagy genes in ovarian cancer: a comprehensive analysis for improved immunotherapy.
Article in Discover oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 5 citations in OpenAlex.
- Knocking down CLDN7 enhanced the effect of cisplatin in OC cells by regulating mitophagy.Journal of ovarian research · 2026Article
- Dual regulation of PINK1/PARKIN-mediated mitochondrial autophagy in ovarian cancer progression and drug resistance: mechanisms and therapeutic potentials.Journal of ovarian research · 2026Review
- Unlocking the mitochondrial functional code: unraveling the pathogenesis of ovarian cancer and innovative targets to inhibit malignant behavior.Journal of translational medicine · 2025Review
- A novel mitochondrial autophagy and aging-related gene signature for predicting ovarian cancer.Frontiers in immunology · 2025Article
- Insights into the role of mitophagy in lung cancer: current evidence and perspectives.Frontiers in pharmacology · 2024Review
Corrections and comments
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Authors and funding
9 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundMitophagy is a process of selectively degrading damaged mitochondria, which has been found to be related to immunity, tumorigenesis, tumor progression, and metastasis. However, the role of mitophagy-related genes (MRGs) in the tumor microenvironment (TME) of ovarian cancer (OV) remains largely unexplored.
methodsWe analyzed the expression, prognosis, and genetic alterations of 29 MRGs in 480 OV samples. Unsupervised clustering was used to classify OV into two subtypes (clusters A and B) based on MRG changes. We compared the clinical features, differential expressed genes (DEGs), pathways, and immune cell infiltration between the two clusters. We constructed a mitophagy scoring system (MRG_score) based on the DEGs and validated its ability to predict overall survival of OV patients.
resultsWe found that patients with high MRG_scores had better survival status and increased infiltration by immune cells. Further analysis showed that these patients may be more sensitive to immune checkpoint inhibitor (ICI) treatment. Additionally, the MRG_score significantly correlated with the sensitivity of chemotherapeutic drugs and targeted inhibitors.
conclusionOur comprehensive analysis of MRGs in the TME, clinical features, and patient prognosis revealed that the MRG_score is a potentially effective prognostic biomarker and predictor of treatment. This study provides new insights into the role of MRGs in OV and identifies patients who may benefit from ICI treatment, chemotherapy, or targeted treatment.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.