A five-gene signature for predicting overall survival of esophagus adenocarcinoma.

{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:33832101", "kind": "science-record", "revision": 4, "content_hash": "sha256:06fa92c3924f10fc33e17ee93c913668e19ea88bba01dc9d2631f2d950a066cb", "created_at": "2026-11-01T15:41:31Z", "updated_at": "2026-11-01T21:25:06Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "A five-gene signature for predicting overall survival of esophagus adenocarcinoma.", "doi": "10.1097/MD.0000000000025305", "pmid": "33832101", "authors": ["Tian Lan", "Weiguo Liu", "Yunyan Lu", "Hua Luo"], "journal": "Medicine", "year": 2021, "abstract": "ABSTRACT: Esophageal adenocarcinoma (EAC) is common and aggressive with increasing trend of incidence. Urgent need for an effective signature to assess EAC prognosis and facilitate tailored treatment is required.Differentially expressed mRNAs (DEMs) were identified by analyzing EAC tissues and adjacent normal samples from The Cancer Genome Atlas (TCGA). Then univariate regression analyses were performed to confirm prognostic DEMs. We used least absolute shrinkage and selection operator (LASSO) to build a prognostic mRNA signature whose performance was assessed by Kaplan-Meier curve, receiver operating characteristic (ROC). GSE72874 were used as an external test set. The performances of the signature were also validated in internal TCGA and external test sets. Gene set enrichment analysis (GSEA) and tumor immunity analysis were performed to decipher the biological mechanisms of the signature.A 5-mRNA signature consisted of SLC26A9, SINHCAF, MICB, KRT19, and MT1X was developed to predict prognosis of EAC. The 5-mRNA signature was promising as a biomarker for predicting 3-year survival rate of EAC in the internal test set, the entire TCGA set, and the external test set with areas under the curve (AUC) = 0.849, 0.924, and 0.747, respectively. Patients were divided into low- and high-risk groups based on risk scores of the signature. The high-risk group was mainly associated with cancer-related pathways and low levels of B cell infiltration.The 5-mRNA prognostic signature we identified can reliably predict prognosis and facilitate individualized treatment decisions for EAC patients.", "claims": [{"id": "claim-method", "statement": "Least absolute shrinkage and selection operator (LASSO) regression was selected as the optimal dimension reduction technique,[13] previous reported studies have applied it to filter significant genes.[14]", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:33832101", "locator": "sections[4] \"Construction and validation of the mRNA signature\" paragraph 3", "quote": "Least absolute shrinkage and selection operator (LASSO) regression was selected as the optimal dimension reduction technique,[13] previous reported studies have applied it to filter significant genes.[14]"}], "state": "complete"}, {"id": "claim-data-access", "statement": "The datasets generated during and/or analyzed during the current study are publicly available.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:33832101", "locator": "sections[17] \"Footnotes\" paragraph 2", "quote": "The datasets generated during and/or analyzed during the current study are publicly available."}], "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:33832101"], "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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