Observational studyThe Journal of international medical research2026
Diagnostic exosomal microRNAs and pathogenic regulatory networks in hepatocellular carcinoma revealed by exosomal RNA sequencing: A case-control study.
Observational study in The Journal of international medical research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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
1 citing paper in PubMed.
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
ObjectiveHepatocellular carcinoma is a leading cause of cancer mortality, and early detection remains limited by the low sensitivity of alpha-fetoprotein. This study aimed to identify serum-derived exosomal microRNAs with diagnostic potential for hepatocellular carcinoma and to explore their regulatory molecular networks.MethodsThis observational case-control study included 50 patients with hepatocellular carcinoma and 50 matched healthy controls. Serum exosomes were isolated and verified by transmission electron microscopy, nanoparticle tracking analysis, and flow cytometry for CD9, CD63, and CD81. High-throughput small RNA sequencing (three hepatocellular carcinoma samples vs three control samples) identified differentially expressed microRNAs. Predicted target genes were analyzed using protein-protein interaction networks based on the Search Tool for the Retrieval of Interacting Genes/Proteins database, Gene Ontology analysis, and Kyoto Encyclopedia of Genes and Genomes pathway enrichment. Candidate microRNAs were validated by reverse transcription quantitative polymerase chain reaction, and diagnostic performance was evaluated using receiver operating characteristic analysis.ResultsSeven differentially expressed microRNAs were identified, and bioinformatic network analysis revealed forkhead box O1 and serine/arginine-rich splicing factor 11 as central hub genes potentially targeted by hsa-miR-27a-3p and hsa-miR-493-3p, respectively. Reverse transcription quantitative polymerase chain reaction confirmed significant upregulation of miR-27a-3p (
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