ArticleJournal of gynecologic oncology2022
Diagnostic performance of microRNA-34a, let-7f and microRNA-31 in epithelial ovarian cancer prediction.
Article in Journal of gynecologic oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.
- The prognostic value of miR-34 family in ovarian cancer: a systematic review and meta-analysis.Frontiers in oncology · 2025Pooled it
- Unraveling Let-7f in oncology: a tumor suppressor with emerging clinical significance.Frontiers in cell and developmental biology · 2026Review
- The Role of microRNA in the Prognosis and Diagnosis of Ovarian Cancer.International journal of molecular sciences · 2025Review
- Chemotherapy-induced alterations in miRNA expression and their prognostic implications in ovarian cancer.Frontiers in oncology · 2025Article
- Regulatory QTLs affecting miRNA-mRNA interactions in cancer: mechanisms, methods, and clinical implications.Frontiers in molecular biosciences · 2025Review
- Utilization of miRNAs as Biomarkers for the Diagnosis, Prognosis, and Metastasis in Gynecological Malignancies.International journal of molecular sciences · 2024Review
- Impact of three miRNA signature as potential diagnostic marker for triple negative breast cancer patients.Scientific reports · 2023Article
- MicroRNA targeting: A novel therapeutic intervention for ovarian cancer.Biochemistry and biophysics reports · 2023Review
- Multifunctional Phase-Transition Nanoparticles for Effective Targeted Sonodynamic-Gene Therapy Against Thyroid Papillary Carcinoma.International journal of nanomedicine · 2023Article
- Extracellular Vesicles-ceRNAs as Ovarian Cancer Biomarkers: Looking into circRNA-miRNA-mRNA Code.Cancers · 2022Review
Corrections and comments
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Authors and funding
5 authors at 3 institutions in 1 country.
Funding
Abstract
objectiveTo correlate the genome-wide methylation signature of microRNA genes with dysregulated expression of selected candidate microRNA in tissue and serum samples of epithelial ovarian cancer (EOC) and control using quantitative reverse transcription polymerase chain reaction (qRT-PCR), and evaluation of EOC predictive value of candidate microRNA at an early stage.
methodsWe performed Methylated DNA Immunoprecipitation coupled with NGS (MeDIP-NGS) sequencing of 6 EOC and 2 normal tissue samples of the ovary. Expression of selected microRNA from tissue (EOC=85, normal=30) and serum (EOC=50, normal=15) samples was evaluated using qRT-PCR. We conducted bioinformatics analysis to identify the candidate miRNA's potential target and functional role.
resultsMeDIP-NGS sequencing revealed hypermethylation of several microRNAs gene promoters. Three candidate microRNAs were selected (microRNA-34a, let-7f, and microRNA-31) from MeDIP-NGS data analysis based on log2FC and P-value. The relative expression level of microRNA-34a, let-7f, and microRNA-31 was found to be significantly reduced in early-stage EOC tissues and serum samples (p<0.0001). The receiver operating characteristic analysis of microRNA-34a, let-7f and miR-31 showed improved diagnostic value with area under curve(AUC) of 92.0 (p<0.0001), 87.9 (p<0.0001), and 85.6 (p<0.0001) and AUC of 82.7 (p<0.0001), 82.0 (p<0.0001), and 81.0 (p<0.0001) in stage III-IV and stage I-II EOC serum samples respectively. The integrated diagnostic performance of microRNA panel (microRNA-34a+let-7f+microRNA-31) in late-stage and early-stage serum samples was 95.5 and 96.9 respectively.
conclusionOur data correlated hypermethylation-associated downregulation of microRNA in EOC. In addition, a combined microRNA panel from serum could predict the risk of EOC with greater AUC, sensitivity, and specificity.
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