A novel integrative machine learning-based prognostic model reveals lactylation regulation in hepatocellular carcinoma progression

Hepatocellular carcinoma (HCC) is one of the most common malignant liver tumor with poor clinical outcomes. Accumulated evidence has demonstrated lactylation plays a vital role in the metabolic reprogramming. However the mechanisms underlying the role of lactylation in the regulation of HCC progression remain largely unknown. This study aims to construct a prognostic model based on lactylation-related metabolism genes, and further explore its prognostic significance and biological function in HCC.肝细胞癌（Hepatocellular carcinoma）是临床预后较差的最常见肝脏恶性肿瘤之一。日益增多的研究证据表明，乳酸化（lactylation）在代谢重编程（metabolic reprogramming）过程中发挥关键调控作用。然而，乳酸化调控肝细胞癌进展的具体分子机制目前仍未被充分阐明。本研究旨在构建基于乳酸化相关代谢基因的预后模型，并进一步探讨该模型在肝细胞癌中的预后价值及其生物学功能。