Development of an Eight-gene Prognostic Model for Overall Survival Prediction in Patients with Hepatocellular Carcinoma.

{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:34966653", "kind": "science-record", "revision": 5, "content_hash": "sha256:5368792b5229b5f15cc5f23afa91946bc66518e8d31e342046636f51172536c0", "created_at": "2026-11-01T17:36:40Z", "updated_at": "2026-11-01T22:48:08Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Development of an Eight-gene Prognostic Model for Overall Survival Prediction in Patients with Hepatocellular Carcinoma.", "doi": "10.14218/JCTH.2020.00152", "pmid": "34966653", "authors": ["De-Zhen Guo", "Ao Huang", "Yu-Peng Wang", "Ya Cao", "Jia Fan", "Xin-Rong Yang", "Jian Zhou"], "journal": "Journal of clinical and translational hepatology", "year": 2021, "abstract": "BACKGROUND AND AIMS: The overall survival (OS) of hepatocellular carcinoma (HCC) remains dismal. Bioinformatic analysis of transcriptome data could identify patients with poor OS and may facilitate clinical decision. This study aimed to develop a prognostic gene model for HCC.\nMETHODS: GSE14520 was retrieved as a training set to identify differential expressed genes (DEGs) between tumor and adjacent liver tissues in HCC patients with different OS. A DEG-based prognostic model was then constructed and the TCGA-LIHC and ICGC-LIRI datasets were used to validate the model. The area under the receiver operating characteristic curve (AUC) and hazard ratio (HR) of the model for OS were calculated. A model-based nomogram was established and verified.\nRESULTS: In the training set, differential expression analysis identified 80 genes dysregulated in oxidation-reduction and metabolism regulation. After univariate Cox and LASSO regression, eight genes (LPCAT1, DHRS1, SORBS2, ALDH5A1, SULT1C2, SPP1, HEY1 and GOLM1) were selected to build the prognostic model. The AUC for 1-, 3- and 5-year OS were 0.779, 0.736, 0.754 in training set and 0.693, 0.689, 0.693 in the TCGA-LIHC validation set, respectively. The AUC for 1- and 3-year OS were 0.767 and 0.705 in the ICGC-LIRI validation set. Multivariate analysis confirmed the model was an independent prognostic factor (training set: HR=4.422, p<0.001; TCGA-LIHC validation set: HR=2.561, p<0.001; ICGC-LIRI validation set: HR=3.931, p<0.001). Furthermore, a nomogram combining the model and AJCC stage was established and validated, showing increased OS predictive efficacy compared with the prognostic model (p=0.035) or AJCC stage (p<0.001).\nCONCLUSIONS: Our eight-gene prognostic model and the related nomogram represent as reliable prognostic tools for OS prediction in HCC patients.", "claims": [{"id": "claim-method", "statement": "Univariate and multivariate Cox regression analysis was applied to identify independent prognostic factors.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:34966653", "locator": "sections[5] \"Construction and validation of the prognostic model\" paragraph 3", "quote": "Univariate and multivariate Cox regression analysis was applied to identify independent prognostic factors."}], "state": "complete"}, {"id": "claim-data-access", "statement": "All data are available upon request.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:34966653", "locator": "sections[19] \"Data sharing statement\" paragraph 2", "quote": "All data are available upon request."}], "state": "complete"}, {"id": "claim-target-result", "statement": "Our eight-gene prognostic model and the related nomogram represent as reliable prognostic tools for OS prediction in HCC patients.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:34966653", "locator": "sections[0] \"Abstract\" paragraph 4", "quote": "Our eight-gene prognostic model and the related nomogram represent as reliable prognostic tools for OS prediction in HCC patients."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "Our eight-gene prognostic model and the related nomogram represent as reliable prognostic tools for OS prediction in HCC patients.", "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:34966653"], "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. This lane did not download the dataset or read its licence.", "duration_hours": null, "parameters": {}, "inputs": ["data:geo:GSE14520"], "outputs": ["the source data with its repository provenance"], "instruments": [], "reagents": []}, {"id": "run_analysis", "order": 3, "name": "Run the published analysis", "kind": "analysis", "state": "complete", "blocked_on": null, "description": "Apply the paper's statistical method to the resolved series and compare the result with the published target.", "duration_hours": null, "parameters": {}, "inputs": ["data:geo:GSE14520"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:34966653", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.14218/JCTH.2020.00152", "sha256": "sha256:ff84c31ca68492c3ca6f9f53d3781de29e745292d819f622ecf0bb33ff282d14", "bytes": 31480, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "10.14218/JCTH.2020.00152", "version": null, "note": "Full article fetched from PMC; the checksum covers the rendered section body, not the original XML bytes.", "structure": {"pmcid": "PMC8666363", "source": "europe_pmc_fulltext", "coverage": "whole_body_without_references", "text_hash_scope": "rendered_section_body"}}, {"id": "data:geo:GSE14520", "role": "raw", "format": "geo-series", "media_type": "application/vnd.ncbi.geo-series+json", "uri": "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE14520", "sha256": null, "bytes": null, "access": "open", "state": "resolved", "reader": null, "reader_status": "reader_required", "identifier": "GSE14520", "version": null, "note": "All data are available upon request.", "structure": {"repository": "GEO", "access_route": "GEO accession URL", 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