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Construct a Five-gene Prognostic Model Involving T Cell Exhaustion and Metabolic Reprogramming for Predicting the Risk of Hepatocellular Carcinoma using LASSO Algorithm: Insights into Immune Infiltration and Drug Sensitivity

2026-06-18

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<title>Abstract</title> <p>Hepatocellular carcinomas (HCCs) ranks as the most commonly seen and deadly tumor in the world, whose pathogenesis has a close correlation with T cell exhaustion and metabolic reprogramming, which are two critical yet underexplored mechanisms and can profoundly shape the tumor immune microenvironment (TIME) to drive disease progression. This study was designed for constructing a prognos...

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Literature Corpus work
cce52a8a-5292-5432-b8fb-968f79307a63
DOI
10.21203/rs.3.rs-9709097/v1
Open publication

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Construct a Five-gene Prognostic Model Involving T Cell Exhaustion and Metabolic Reprogramming for Predicting the Risk of Hepatocellular Carcinoma using LASSO Algorithm: Insights into Immune Infiltration and Drug SensitivityDOI 10.21203/rs.3.rs-9709097/v1
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