ArticleMolecular therapy. Nucleic acids2024
Global characterization of RNA editing in genetic regulation of multiple ovarian cancer subtypes.
Article in Molecular therapy. Nucleic acids, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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7 citing papers in PubMed, 6 citations in OpenAlex.
- A cytoplasmic index for quantifying immune-related A-to-I RNA editing.Genome biology · 2026Article
- Editing regulatory network in non-small cell lung cancer: implications for immunity and metastasis.Human genomics · 2026Article
- Targeting ADAR1 lactylation activates innate immune and overcomes chemoresistance in ovarian cancer.Cell death and differentiation · 2026Article
- From bench to bedside: unlocking the anti-inflammatory, antioxidant, and anticancer promise of curcumin in gynecology.Frontiers in medicine · 2026Review
- Dihydroartemisinin inhibits metastatic potential and cancer stemness by modulating the miR-200b-BMI-1/VEGF-A axis in ovarian cancer.Experimental & molecular medicine · 2025Article
- A Robust Framework for Domain-Generalized Classification of Ovarian Cancer Histology Images.Diagnostics (Basel, Switzerland) · 2025Article
- Status and development of research on clear cell carcinoma of the ovary-a visualization-based bibliometric analysis.Translational cancer research · 2024Article
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Authors and funding
9 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
RNA editing plays an extensive role in the initiation and progression of cancer. However, the overall profile and molecular functions of RNA editing in different ovarian cancer subtypes have not been fully characterized and elucidated. Here, we conducted a study on RNA editing in four cohorts of ovarian cancer subtypes through large-scale parallel reporting and bioinformatics analysis. Our findings revealed that RNA editing patterns exhibit subtype-specific characteristics within cancer subtypes. The expression pattern of ADAR and the number of differential editing sites varied under different conditions. CCOC and EOC exhibited significant editing deficiency, whereas HGSC and MOC displayed significant editing excess. The sites within the turquoise module of the coedited network also revealed their correlation with ovarian cancer. In addition, we identified an average of over 40,000
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