Identification of molecular subtypes and prognostic signature for hepatocellular carcinoma based on genes associated with homologous recombination deficiency.

{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:34912005", "kind": "science-record", "revision": 4, "content_hash": "sha256:1f8aefb3cfc6a6bd09a4b6acb88de4c8fc2da11a5727d175005a0c1ff61648b6", "created_at": "2026-11-01T17:36:37Z", "updated_at": "2026-11-01T22:05:22Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Identification of molecular subtypes and prognostic signature for hepatocellular carcinoma based on genes associated with homologous recombination deficiency.", "doi": "10.1038/s41598-021-03432-3", "pmid": "34912005", "authors": ["Hongsheng Lin", "Yangyi Xie", "Yinzhi Kong", "Li Yang", "Mingfen Li"], "journal": "Scientific reports", "year": 2021, "abstract": "Hepatocellular carcinoma (HCC) is a rapidly developing digestive tract carcinoma. The prognosis of patients and side effects caused by clinical treatment should be better improved. Nonnegative matrix factorization (NMF) clustering was performed using 109 homologous recombination deficiency (HRD)-related of HCC genes from The Cancer Genome Atlas (TCGA) database. Limma was applied to analyze subtype differences. Immune scores and clinical characteristics of different subtypes were compared. An HRD signature were built with least absolute shrinkage operator (LASSO) and multivariate Cox analysis. Performance of the signature system was then assessed by Kaplan-Meier curves and receiver operating characteristic (ROC) curves. We identified two molecular subtypes (C1 and C2), with C2 showing a significantly better prognosis than C1. C1 contained 3623 differentially expressed genes. A 4-gene prognostic signature for HCC was established, and showed a high predicting accuracy in validation sets, entire TCGA data set, HCCDB18 and GSE14520 queues. Moreover, the risk score was validated as an independent prognostic marker for HCC. Our research identified two molecular subtypes of HCC, and proposed a novel scoring system for evaluating the prognosis of HCC in clinical practice.", "claims": [{"id": "claim-method", "statement": "The HCC samples were clustered by NMF38.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:34912005", "locator": "sections[14] \"Molecular subtypes were identified by nonnegative matrix factorization (NMF) clustering\" paragraph 2", "quote": "The HCC samples were clustered by NMF38."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The datasets generated and/or analysed during the current study are available in the [GSE14520] repository, [https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE14520].", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:34912005", "locator": "sections[25] \"notes\" paragraph 1", "quote": "The datasets generated and/or analysed during the current study are available in the [GSE14520] repository, [https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE14520]."}], "state": "complete"}, {"id": "claim-target-result", "statement": "The study identified two molecular subtypes of HCC and proposed a 4-gene prognostic signature that was validated as an independent prognostic marker for HCC.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:34912005", "locator": "sections[0] \"Abstract\" paragraph 1", "quote": "We identified two molecular subtypes (C1 and C2), with C2 showing a significantly better prognosis than C1. C1 contained 3623 differentially expressed genes. A 4-gene prognostic signature for HCC was established, and showed a high predicting accuracy in validation sets, entire TCGA data set, HCCDB18 and GSE14520 queues. 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