ArticlePharmaceuticals (Basel, Switzerland)2021
Serum Extracellular Vesicle-Derived circHIPK3 and circSMARCA5 Are Two Novel Diagnostic Biomarkers for Glioblastoma Multiforme.
Article in Pharmaceuticals (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 68 papers.
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Who cites it
68 citing papers in PubMed.
- Liquid Biopsy in Primary CNS Tumors: Bridging Biology, Technology, and Clinical Care.Molecular diagnosis & therapy · 2026Review
- Progenitor cells, microglia, and non-coding RNAs: Orchestrators of glioblastoma pathogenesis and therapeutic resistance.Non-coding RNA research · 2025Review
- Bladder Cancer Growth is Inhibited by Upregulating CircFUT8 through the METTL14/FMR1 Signaling Pathway.Cell biochemistry and biophysics · 2025Article
- Liquid Biopsy and Epigenetic Signatures in AML, ALL, and CNS Tumors: Diagnostic and Monitoring Perspectives.International journal of molecular sciences · 2025Review
- The role of abnormal epigenetic regulation of small GTPases in glioma (Review).International journal of oncology · 2025Review
- circVEGFA inhibits apoptosis in porcine ovarian granulosa cells by binding to miR-21-3p and up-regulating TMX4 expression.Journal of ovarian research · 2025Article
- Evolution of glioma exosome research: emerging trends and global collaborations (2005-2025).Discover oncology · 2025Article
- Exploring the roles and clinical potential of exosome-derived non-coding RNAs in glioma.IBRO neuroscience reports · 2025Review
- Liquid Biopsy-Derived Tumor Biomarkers for Clinical Applications in Glioblastoma.Biomolecules · 2025Review
- The Role of the Dysregulation of circRNAs Expression in Glioblastoma Multiforme.Journal of molecular neuroscience : MN · 2025Review
- Glioma lateralization: Focus on the anatomical localization and the distribution of molecular alterations (Review).Oncology reports · 2024Review
- The multifaceted roles of circular RNAs in cancer hallmarks: From mechanisms to clinical implications.Molecular therapy. Nucleic acids · 2024Review
- [Research Progress of Circular RNA CircHIPK3 in Non-small Cell Lung Cancer].Zhongguo fei ai za zhi = Chinese journal of lung cancer · 2024Review
- Silencing CircHIPK3 improves sevoflurane-explore learning and memory dysfunction and nerve damage via enhancing miR-338-3p.Toxicology research · 2024Article
- Article
- Extracellular vesicles in glioblastoma: a challenge and an opportunity.NPJ precision oncology · 2024Review
- IGFBP3 induces PD-L1 expression to promote glioblastoma immune evasion.Cancer cell international · 2024Article
- Exploring Circular RNA Profile and Expression in Extracellular Vesicles.Methods in molecular biology (Clifton, N.J.) · 2024Article
- Identification of circRNA Expression Profile and Potential Systemic Immune Imbalance Modulation in Premature Rupture of Membranes.Analytical cellular pathology (Amsterdam) · 2024Article
- Extracellular vesicles as modulators of glioblastoma progression and tumor microenvironment.Pathology oncology research : POR · 2024Review
8 more citing papers are in PubMed but not listed here.
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Authors and funding
18 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Glioblastoma multiforme (GBM) is the most frequent and deadly human brain cancer. Early diagnosis through non-invasive biomarkers may render GBM more easily treatable, improving the prognosis of this currently incurable disease. We suggest the use of serum extracellular vesicle (sEV)-derived circular RNAs (circRNAs) as highly stable minimally invasive diagnostic biomarkers for GBM diagnosis. EVs were isolated by size exclusion chromatography from sera of 23 GBM and 5 grade 3 glioma (GIII) patients, and 10 unaffected controls (UC). The expression of two candidate circRNAs (circSMARCA5 and circHIPK3) was assayed by droplet digital PCR. CircSMARCA5 and circHIPK3 were significantly less abundant in sEVs from GBM patients with respect to UC (fold-change (FC) of -2.15 and -1.92, respectively) and GIII (FC of -1.75 and -1.4, respectively). Receiver operating characteristic curve (ROC) analysis, based on the expression of sEV-derived circSMARCA5 and circHIPK3, allowed us to distinguish GBM from UC (area under the curve (AUC) 0.823 (0.667-0.979) and 0.855 (0.704 to 1.000), with a 95% confidence interval (CI), respectively). Multivariable ROC analysis, performed by combining the expression of sEV-derived circSMARCA5 and circHIPK3 with preoperative neutrophil to lymphocyte (NLR), platelet to lymphocyte (PLR) and lymphocyte to monocyte (LMR) ratios, three known diagnostic and prognostic GBM markers, allowed an improvement in the GBM diagnostic accuracy (AUC 0.901 (0.7912 to 1.000), 95% CI). Our data suggest sEV-derived circSMARCA5 and circHIPK3 as good diagnostic biomarkers for GBM, especially when associated with preoperative NLR, PLR and LMR.
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