Characteristics of lactate metabolism phenotype in hepatocellular carcinoma.

{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:37952028", "kind": "science-record", "revision": 2, "content_hash": "sha256:1c483d7868ab99cd796116115b40691550f1fbe0f681ab9539655cbe69b718c7", "created_at": "2026-11-01T19:02:50Z", "updated_at": "2026-11-01T21:31:54Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Characteristics of lactate metabolism phenotype in hepatocellular carcinoma.", "doi": "10.1038/s41598-023-47065-0", "pmid": "37952028", "authors": ["Jiacheng Zhang", "Keshuai Dong", "Xin Zhang", "Chunlei Li", "Jia Yu", "Weixing Wang"], "journal": "Scientific reports", "year": 2023, "abstract": "Hepatocellular carcinoma (HCC) is a highly heterogeneous cancer, and more effective prognostic markers are needed. Lactic acid has been proved to be an important metabolite involved in cancer development, metastasis, and the tumor microenvironment, affecting the prognosis of patients. The role of lactic acid metabolism regulators (LAMRs) in HCC is still unclear. In this study, we analyzed the status of LAMRs, a gene list containing lactate from Molecular Signatures database, in HCC and consensus clustering was performed based on these LAMRs. Cluster B showed higher infiltrations of immune cells, higher TME scores, and a poorer prognosis. We further constructed a risk score based on DEGs using LASSO and COX regression analysis between two clusters, which could effectively predict the prognosis of TCGA-LIHC patients. The GSE14520 cohort confirmed the result. We also examined the correlation of risk scores with clinical characteristics, genetic mutations, drug sensitivity, immune checkpoint inhibitors(ICIs), and immunotherapy. In conclusion, our findings will facilitate a further understanding of the role of partial lactate metabolism related genes in HCC and suggest a new risk score to predict prognosis.", "claims": [{"id": "claim-method", "statement": "LASSO and multivariate Cox analyses were performed on 194 DEGs with subtype-associated prognosis of LAMRs to further select the optimum prognostic risk related factors (Table S7).", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:37952028", "locator": "sections[23] \"Construction and validation of the prognostic LAMR risk-score\" paragraph 2", "quote": "LASSO and multivariate Cox analyses were performed on 194 DEGs with subtype-associated prognosis of LAMRs to further select the optimum prognostic risk related factors (Table S7)."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The datasets analyzed for this study can be found in the TCGA database (http://www.cancer.gov/tcga), including LIHC gene expression data (HTSeq-Counts and HTSeq-FPKM), GSE14520 (https://www.ncbi. nlm.nih.gov/geo) and IMvro210(http://research-pub.Gene.com/imvigor210corebiologies). 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