Role of CD5L and SRD5A2 as Prognostic Biomarkers for Hepatocellular Carcinoma.

{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:34880664", "kind": "science-record", "revision": 4, "content_hash": "sha256:282cd6c4e737821411f9cff9558261c73b7e54d90d7a849c1879868d5af108ed", "created_at": "2026-11-01T17:36:35Z", "updated_at": "2026-11-01T22:05:19Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Role of CD5L and SRD5A2 as Prognostic Biomarkers for Hepatocellular Carcinoma.", "doi": "10.2147/IJGM.S337769", "pmid": "34880664", "authors": ["Yunxiu Luo", "Xiaopeng Huang", "Jiabin Zhan", "Shuai Zhang"], "journal": "International journal of general medicine", "year": 2021, "abstract": "PURPOSE: Due to the limitations of currently available biomarkers, new biomarkers are needed to accurately predict the prognosis of patients with hepatocellular carcinoma (HCC) patients.\nMETHODS: In this study, we screened for differentially expressed genes (DEGs) in the tumor and the adjacent tissues using the four gene expression array (GSE14520, GSE45267, GSE121248, GSE62232) of the Gene Express Omnibus (GEO) database.\nRESULTS: Subsequently, 47 overlapping DEGs were identified in four GEO datasets, which were mostly located on chromosomes 5q and 6q, distributed in the liver and CD105-positive endothelial cells, and closely related to HCC. Function enrichment revealed 47 DEGs were related to HCC, and involved in steroid /lipid /retinol metabolism, bile secretion and p53 signalling pathway. The Kaplan-Meier plotter analysis (http://www.kmplot.com/) identified 26 and 40 genes associated with the 5-year overall survival (OS) and relapse-free survival (RFS). We found that CD5L and SRD5A2 were independent prognostic factors for 5-year OS (P=0.036) and RFS (P=0.044) in HCC patients from GSE14520, respectively. Clinicopathological features including BCLC stage, cirrhosis, and risk signature for predicted metastasis were used to construct and validate a nomogram for 5-year OS with C-index of 0.732 and 0.717 in the training and validation cohort, respectively. SRD5A2, BCLC stage and gender was independent prognostic factors for RFS which were used to build a nomogram with the C-index of 0.666 and 0.682 in the training and validation cohort, respectively.\nCONCLUSION: CD5L can facilitate individualized, targeted therapy for HCC patients.", "claims": [{"id": "claim-method", "statement": "The univariate survival analysis of overlapped DEGs in four datasets was performed according to the K-M method using the KM plotter (http://kmplot.com/).", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:34880664", "locator": "sections[6] \"Screening for Survival-Related DEGs\" paragraph 2", "quote": "The univariate survival analysis of overlapped DEGs in four datasets was performed according to the K-M method using the KM plotter (http://kmplot.com/)."}], "state": "complete"}, {"id": "claim-data-access", "statement": "Gene expression and clinical data were obtained from the gene expression omnibus (GEO) database of the National Center for Biotechnology Information (NCBI) (accession numbers GSE45267, 12 GSE62232,4 GSE121248,13 and GSE14520-GPL571).14", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:34880664", "locator": "sections[3] \"Patients and Gene Expression Data\" paragraph 2", "quote": "Gene expression and clinical data were obtained from the gene expression omnibus (GEO) database of the National Center for Biotechnology Information (NCBI) (accession numbers GSE45267, 12 GSE62232,4 GSE121248,13 and GSE14520-GPL571).14"}], "state": "complete"}, {"id": "claim-target-result", "statement": "Kaplan–Meier plotter analysis of GEO-derived and TCGA-derived expression data identified 26 genes associated with 5-year overall survival and 40 genes associated with relapse-free survival.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:34880664", "locator": "sections[0] \"Abstract\" paragraph 3", "quote": "The Kaplan–Meier plotter analysis (http://www.kmplot.com/) identified 26 and 40 genes associated with the 5-year overall survival (OS) and relapse-free survival (RFS)."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "Kaplan–Meier plotter analysis of GEO-derived and TCGA-derived expression data identified 26 genes associated with 5-year overall survival and 40 genes associated with relapse-free survival.", "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:34880664"], "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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