Application of graph models to the identification of transcriptomic oncometabolic pathways in human hepatocellular carcinoma

Abstract excerpt

Whole tissue transcriptomic analyses have been helpful to characterize molecular subtypes of hepatocellular carcinoma (HCC). Metabolic subtypes of human HCC have been defined, yet whether these different metabolic classes are clinically relevant or derive in actionable cancer vulnerabilities is still an unanswered question. Publicly available gene sets or gene signatures have been used to infer functional changes...

Topics

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• beta Catenin
• Carcinoma, Hepatocellular
• Gene Expression Profiling
• Gene Expression Regulation, Neoplastic
• Liver Neoplasms
• Metabolic Networks and Pathways
• Transcriptome
• Tumor Suppressor Protein p53

Identifiers and source

Literature Corpus work

ada26d5d-5101-530d-a5a4-f30bff344e62

DOI

10.1101/2024.04.30.24306608