ArticleJournal of ovarian research2023
Mitophagy-related long non-coding RNA signature predicts prognosis and drug response in Ovarian Cancer.
Article in Journal of ovarian research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 7 citations in OpenAlex.
- Knocking down CLDN7 enhanced the effect of cisplatin in OC cells by regulating mitophagy.Journal of ovarian research · 2026Article
- Mitophagy and Ubiquitination Coordinate Context-Specific Mitochondrial Quality Control and EMT/MET Plasticity to Drive Cancer Cell Invasion.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- Dual regulation of PINK1/PARKIN-mediated mitochondrial autophagy in ovarian cancer progression and drug resistance: mechanisms and therapeutic potentials.Journal of ovarian research · 2026Review
- Targeting epigenetic networks to overcome cisplatin resistance in ovarian cancer: from mechanisms to clinical translation.Journal of ovarian research · 2026Review
- The dual role of autophagy in cancer stem cells: implications for tumor progression and therapy resistance.Journal of translational medicine · 2025Review
- Regulation of ULK1 by WTAP/IGF2BP3 axis enhances mitophagy and progression in epithelial ovarian cancer.Cell death & disease · 2024Article
Corrections and comments
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
Abstract
backgroundOvarian cancer (OC) is the most malignant tumor with the worst prognosis in female reproductive system. Mitophagy and long non-coding RNAs (lncRNAs) play pivotal roles in tumorigenesis, development, and drug resistance. The effects of mitophagy-related lncRNAs on OC prognosis and therapeutic response remain unelucidated.
methodsWe retrieved OC-related RNA sequence, copy number variation, somatic mutation, and clinicopathological information from The Cancer Genome Atlas database and mitophagy-related gene sets from the Reactome database. Pearson's correlation analysis was used to distinguish mitophagy-related lncRNAs. A prognostic lncRNA signature was constructed using UniCox, LASSO, and forward stepwise regression analysis. Individuals with a risk score above or below the median were classified as high- or low-risk groups, respectively. The risk model was analyzed using the Kaplan-Meier estimator, receiver operating characteristic curve, decision curve analysis, and Cox regression analysis and validated using an internal dataset. LINC00174 was validated in clinical samples and OC cell lines. We also reviewed reports on the role of LINC00174 in cancer. Subsequently, a nomogram model was constructed. Furthermore, the Genomics of Drug Sensitivity in Cancer database was used to explore the relationship between the risk model and anti-tumor drug sensitivity. Gene set variation analysis was performed to assess potential differences in biological functions between the two groups. Finally, a lncRNA prognostic signature-related competing endogenous RNA (ceRNA) network was constructed.
resultsThe prognostic signature showed that patients in the high-risk group had a poorer prognosis. The nomogram exhibited satisfactory accuracy and predictive potential. LINC00174 mainly acts as an oncogene in cancer and is upregulated in OC; its knockdown inhibited the proliferation and migration, and promoted apoptosis of OC cells. High-risk patients were more insensitive to cisplatin and olaparib than low-risk patients. The ceRNA network may help explore the potential regulatory mechanisms of lncRNAs.
conclusionThe mitophagy-related lncRNA signature can help estimate the survival and drug sensitivity, the ceRNA network may provide novel therapeutic targets for patients with OC.
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