ArticleInternational journal of molecular sciences2020
Analysis of Serum miRNA in Glioblastoma Patients: CD44-Based Enrichment of Extracellular Vesicles Enhances Specificity for the Prognostic Signature.
Article in International journal of molecular sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 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
21 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.
- A systematic review of extracellular vesicles as non-invasive biomarkers in glioma diagnosis, prognosis, and treatment response monitoring.Molecular biology reports · 2021Pooled it
- Article
- Circulating miRNAs for glioblastoma monitoring: from biofluid to clinical decision.Molecular therapy. Oncology · 2026Review
- Review
- Plasma Extracellular Vesicles as Liquid Biopsies for Glioblastoma: Biomarkers, Subpopulation Enrichment, and Clinical Translation.International journal of molecular sciences · 2025Review
- Expression Analysis of let-7a-5p and miR-21-3p in Extracellular Vesicles Derived from Serum of NSCLC Patients.Biomedicines · 2025Article
- Review
- Isolation and characterization of extracellular vesicles from EGFR mutated lung cancer cells.Clinical and experimental medicine · 2025Article
- Diagnostic and Therapeutic Utility of Extracellular Vesicles in Ocular Disease.International journal of molecular sciences · 2025Review
- Current status of precision oncology in adult glioblastoma.Molecular oncology · 2024Review
- Circulating extracellular vesicles as biomarker for diagnosis, prognosis, and monitoring in glioblastoma patients.Neuro-oncology · 2024Article
- MiR-15b-3p weakens bicalutamide sensitivity in prostate cancer via targeting KLF2 to suppress ferroptosis.Journal of Cancer · 2024Article
- Advances on Liquid Biopsy Analysis for Glioma Diagnosis.Biomedicines · 2023Review
- A novel serum extracellular vesicle protein signature to monitor glioblastoma tumor progression.International journal of cancer · 2023Article
- Deciphering specific miRNAs in brain tumors: a 5-miRNA signature in glioblastoma.Molecular genetics and genomics : MGG · 2022Article
- Liquid Biopsy in Glioblastoma Management: From Current Research to Future Perspectives.The oncologist · 2021Review
- Plasma Membrane Receptors Involved in the Binding and Response of Osteoclasts to Noncellular Components of the Bone.International journal of molecular sciences · 2021Review
- Extracellular Vesicles: Biology and Potentials in Cancer Therapeutics.International journal of molecular sciences · 2021Article
- Extracellular Vesicle Separation Techniques Impact Results from Human Blood Samples: Considerations for Diagnostic Applications.International journal of molecular sciences · 2021Article
- miR-15b-3p promotes the malignant progression of endometrial cancer cells through targeting KLF2.Cell cycle (Georgetown, Tex.) · 2021Article
Corrections and comments
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Authors and funding
13 authors at 6 institutions in 2 countries.
Funding
Abstract
Glioblastoma is a devastating disease, for which biomarkers allowing a prediction of prognosis are urgently needed. microRNAs have been described as potentially valuable biomarkers in cancer. Here, we studied a panel of microRNAs in extracellular vesicles (EVs) from the serum of glioblastoma patients and evaluated their correlation with the prognosis of these patients. The levels of 15 microRNAs in EVs that were separated by size-exclusion chromatography were studied by quantitative real-time PCR, followed by CD44 immunoprecipitation (SEC + CD44), and compared with those from the total serum of glioblastoma patients (
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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.