Identification of Serum Circulating MicroRNAs as Novel Diagnostic Biomarkers of Gastric Cancer.

{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:33597967", "kind": "science-record", "revision": 8, "content_hash": "sha256:d7b765a2f818025a3a8545e56c116e9b356840106c6a0e23ee26279328ce8724", "created_at": "2026-11-01T15:41:25Z", "updated_at": "2026-11-01T22:46:08Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Identification of Serum Circulating MicroRNAs as Novel Diagnostic Biomarkers of Gastric Cancer.", "doi": "10.3389/fgene.2020.591515", "pmid": "33597967", "authors": ["Yunjin Yao", "Yongfeng Ding", "Yuntong Bai", "Quan Zhou", "Hyun Lee", "Xiawei Li", "Lisong Teng"], "journal": "Frontiers in genetics", "year": 2020, "abstract": "Gastric cancer (GC) is one of the leading causes of cancer-associated deaths worldwide. Due to the lack of typical symptoms and effective biomarkers for non-invasive screening, most patients develop advanced-stage GC by the time of diagnosis. Circulating microRNA (miRNA)-based panels have been reported as a promising tool for the screening of certain types of cancers. In this study, we performed differential expression analysis of miRNA profiles of plasma samples obtained from gastric cancer and non-cancer patients using two independent Gene Expression Omnibus (GEO) datasets: GSE113486 and GSE124158. We identified three miRNAs, hsa-miR-320a, hsa-miR-1260b, and hsa-miR-6515-5p, to distinguish gastric cancer cases from non-cancer controls. The three miRNAs showed an area under the curve (AUC) over 0.95 with high specificity (>93.0%) and sensitivity (>85.0%) in both the discovery datasets. In addition, we further validated these three miRNAs in two external datasets: GSE106817 [sensitivity: hsa-miR-320a (99.1%), hsa-miR-1260b (97.4%), and hsa-miR-6515-5p (92.2%); specificity: hsa-miR-320a (88.8%), hsa-miR-1260b (89.6%), and hsa-miR-6515-5p (88.7%); and AUC: hsa-miR-320a (96.3%), hsa-miR-1260b (97.4%), and hsa-miR-6515-5p (94.6%)] and GSE112264 [sensitivity: hsa-miR-320a (100.0%), hsa-miR-1260b (98.0%), and hsa-miR-6515.5p (98.0%); specificity: hsa-miR-320a (100.0%), hsa-miR-1260b (100.0%), and hsa-miR-6515.5p (92.7%); and AUC: hsa-miR-320a (1.000), hsa-miR-1260b (1.000), and hsa-miR-6515-5p (0.988)]. On the basis of these findings, the three miRNAs can be used as potential biomarkers for gastric cancer screening, which can provide patients with a higher chance of curative resection and longer survival.", "claims": [{"id": "claim-method", "statement": "The DE analysis was performed using the “Limma” package in R, which is based on the empirical Bayes method and the linear models.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:33597967", "locator": "sections[6] \"Statistical Analysis\" paragraph 2", "quote": "The DE analysis was performed using the “Limma” package in R, which is based on the empirical Bayes method and the linear models."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The datasets analyzed for this study can be found in the Gene Expression Omnibus (https://www.ncbi.nlm.nih.gov/geo/), accession numbers GSE113486, GSE124158, GSE112264, and GSE106817.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:33597967", "locator": "sections[13] \"Data Availability Statement\" paragraph 2", "quote": "The datasets analyzed for this study can be found in the Gene Expression Omnibus (https://www.ncbi.nlm.nih.gov/geo/), accession numbers GSE113486, GSE124158, GSE112264, and GSE106817."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "partial", "objective": null, "steps": [{"id": "read_published_estimate", "order": 1, "name": "Read the published estimate from the source", "kind": "other", "state": "complete", "blocked_on": null, "description": "The claim, method and evidence span published with the source article.", "duration_hours": null, "parameters": {}, "inputs": ["source:pmid:33597967"], "outputs": ["the published estimate and its evidence"], "instruments": [], "reagents": []}, {"id": "obtain_source_data", "order": 2, "name": "Obtain the source data from the named repository", "kind": "data-preparation", "state": "blocked", "blocked_on": "data:accession_absent", "description": "The GEO series accession resolves and its sample accessions are listed. 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