ArticleJournal of translational medicine2023
Circulating small extracellular vesicles microRNAs plus CA-125 for treatment stratification in advanced ovarian cancer.
Article in Journal of translational medicine, 2023. 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.
What it found
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The trial behind it
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, 8 citations in OpenAlex.
- Circulating miRNAs and Multivariate Biomarker Signatures in Ovarian Cancer: A Systematic Review.International journal of molecular sciences · 2026Pooled it
- Multi-omics Mendelian randomization identified adaptive immune response-related drug targets in psoriatic arthritis.Naunyn-Schmiedeberg's archives of pharmacology · 2026Article
- Emerging target antigen landscape for CAR T-cell therapy in solid tumors: current advances and future directions.Immunologic research · 2026Review
- AI-driven drug-target interaction prediction: current progress, challenges, and future roadmap for precision medicine.Journal of computer-aided molecular design · 2026Review
- The clinical significance of circulating microRNAs as biomarkers in lung cancer diagnosis and prognosis.Discover oncology · 2025Review
- PTEN as a prognostic factor for radiotherapy plus immunotherapy response in nasopharyngeal carcinoma.Journal of nanobiotechnology · 2025Article
- Advances in the role of extracellular vesicles in circulating microRNA biomarker discovery for lung cancer.Frontiers in cell and developmental biology · 2025Review
- Advances in small extracellular vesicles: roles in the tumor microenvironment and epithelial ovarian cancer diagnosis and treatment.Frontiers in oncology · 2025Review
- Review
- Leveraging high-throughput screening technologies in targeted mRNA delivery.Materials today. Bio · 2024Review
Corrections and comments
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Authors and funding
11 authors at 5 institutions in 1 country.
Funding
Abstract
backgroundNo residual disease (R0 resection) after debulking surgery is the most critical independent prognostic factor for advanced ovarian cancer (AOC). There is an unmet clinical need for selecting primary or interval debulking surgery in AOC patients using existing prediction models.
methodsRNA sequencing of circulating small extracellular vesicles (sEVs) was used to discover the differential expression microRNAs (DEMs) profile between any residual disease (R0, n = 17) and no residual disease (non-R0, n = 20) in AOC patients. We further analyzed plasma samples of AOC patients collected before surgery or neoadjuvant chemotherapy via TaqMan qRT-PCR. The combined risk model of residual disease was developed by logistic regression analysis based on the discovery-validation sets.
resultsUsing a comprehensive plasma small extracellular vesicles (sEVs) microRNAs (miRNAs) profile in AOC, we identified and optimized a risk prediction model consisting of plasma sEVs-derived 4-miRNA and CA-125 with better performance in predicting R0 resection. Based on 360 clinical human samples, this model was constructed using least absolute shrinkage and selection operator (LASSO) and logistic regression analysis, and it has favorable calibration and discrimination ability (AUC:0.903; sensitivity:0.897; specificity:0.910; PPV:0.926; NPV:0.871). The quantitative evaluation of Net Reclassification Improvement (NRI) and Integrated Discrimination Improvement (IDI) suggested that the additional predictive power of the combined model was significantly improved contrasted with CA-125 or 4-miRNA alone (NRI = 0.471, IDI = 0.538, p < 0.001; NRI = 0.122, IDI = 0.185, p < 0.01).
conclusionOverall, we established a reliable, non-invasive, and objective detection method composed of circulating tumor-derived sEVs 4-miRNA plus CA-125 to preoperatively anticipate the high-risk AOC patients of residual disease to optimize clinical therapy.
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Registered trials
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.