ArticleBMC cancer2025
Serum-derived exosomal miR-7977 combined with miR-451a as a potential biomarker for pancreatic ductal adenocarcinoma.
Article in BMC cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Tyrosine-Peptide Analog Modulates Extracellular Vesicles miRNAs Cargo from Mesenchymal Stem/Stromal and Cancer Cells to Drive Immunoregeneration and Tumor Suppression.Biomolecules · 2026Article
- Diagnostic methods for pancreatic cancer and their clinical applications (Review).Oncology letters · 2025Review
- Extracellular Vesicle-Derived miRNAs as Diagnostic Biomarkers for Pancreatic Ductal Adenocarcinoma: A Systematic Review of Methodological Rigour and Clinical Applicability.Biomarker insights · 2025Review
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Authors and funding
5 authors.
Funding
Abstract
objectivesTo explore the potential of serum exosomal miRNAs as novel biomarkers for pancreatic ductal adenocarcinoma (PDAC).
methodsSerum exosomal miRNAs were screened and verified by microarray analysis and quantitative real-time PCR (qRT-PCR) in patients with PDAC and healthy controls. The correlation between the clinical characteristics of PDAC and candidate exosomal miRNAs was analyzed, and the diagnostic performance of the candidate biomarkers was evaluated.
resultsSerum exosomal miR-7977 and miR-451a were significantly upregulated in PDAC patients compared with healthy controls, and the levels of miR-7977 and miR-451a in serum exosomes were closely associated with the clinical stage and metastasis of PDAC patients. The area under curve (AUC) values of serum exosomal miR-7977 and miR-451a for PDAC were 0.825 and 0.804 in the training set and 0.796 and 0.830 in the validation set, respectively. A biomarker panel consisting of these two miRNAs resulted in a diagnostic power with an AUC of 0.901 in the training set and 0.918 in the validation set.
conclusionsSerum exosomal miR-7977 and miR-451a might be diagnostic biomarkers for PDAC. These two miRNAs, when combined, exhibit optimal diagnostic performance.
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