Identifying an Eight-Gene Signature to Optimize Overall Survival Prediction of Esophageal Adenocarcinoma Using Bioinformatics Analysis of ceRNA Network.

{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:33376353", "kind": "science-record", "revision": 8, "content_hash": "sha256:47f20890cdf1bf0d84eadd10b6a4abee989a575258874d0409c2ea182a333287", "created_at": "2026-11-01T15:41:20Z", "updated_at": "2026-11-01T22:45:52Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Identifying an Eight-Gene Signature to Optimize Overall Survival Prediction of Esophageal Adenocarcinoma Using Bioinformatics Analysis of ceRNA Network.", "doi": "10.2147/OTT.S287084", "pmid": "33376353", "authors": ["Yuanyong Wang", "Naixin Liang", "Zhiqiang Xue", "Xinying Xue"], "journal": "OncoTargets and therapy", "year": 2020, "abstract": "BACKGROUND AND AIMS: Esophageal adenocarcinoma (EAC) patients usually have a poor prognosis without early diagnosis. In this study, we aimed to identify a novel signature to improve the prediction of overall survival (OS) in EAC.\nMETHODS: Eighty-one and 68 samples from The Cancer Genome Atlas (TCGA) and GSE19417 dataset were included for discovery and survival validation, respectively. In the TCGA cohort, a total of 1,811 DEmRNAs, 1,096 DElncRNAs, and 31 DEmiRNAs were identified between EAC and normal esophagus tissues. A mRNA-miRNA-lncRNA ceRNA network of EAC was established, which consisted of 94 DEmRNAs, 13 DEmiRNAs, and 46 DElncRNAs.\nRESULTS: In this study, we identified eight genes (UBE2B, LAMP2, B3GNT2, TAF9B, EFNA1, PHF8, PIGA, and NEURL1) which were related to survival in EAC. The independent external microarray data from the Gene Expression Omnibus (GEO) was used to validate these candidate genes. The prognostic ability of the signature was also validated in EAC patients in our hospital. Patients assigned to the high-risk group had a poor overall survival rate compared with the low-risk.\nCONCLUSION: The current study provides novel insights into the mRNA-related ceRNA network in EAC and the eight mRNA biomarkers may be independent prognostic signatures in predicting the survival of EAC patients.", "claims": [{"id": "claim-method", "statement": "The overall survival (OS) of EAC patients was associated with DEmRNAs, DEmiRNAs and DElncRNAs in the ceRNA network that was determined through Log rank test and Kaplan-Meier.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:33376353", "locator": "sections[9] \"Construction of Risk Prediction Model of EAC\" paragraph 2", "quote": "The overall survival (OS) of EAC patients was associated with DEmRNAs, DEmiRNAs and DElncRNAs in the ceRNA network that was determined through Log rank test and Kaplan-Meier."}], "state": "complete"}, {"id": "claim-data-access", "statement": "Data Sharing Statement\nThe data that support the findings of this study are openly available in TCGA at https://cancergenome.nih.gov/, and GEO at https://www.ncbi.nlm.nih.gov/geo/, reference number: GSE19417.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:33376353", "locator": "sections[29] \"Data Sharing Statement\" paragraphs 1-2", "quote": "Data Sharing Statement\nThe data that support the findings of this study are openly available in TCGA at https://cancergenome.nih.gov/, and GEO at https://www.ncbi.nlm.nih.gov/geo/, reference number: GSE19417."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "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:33376353"], "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": "complete", "blocked_on": null, "description": "The GEO series accession resolves and its sample accessions are listed. 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