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ABSTRACT: Background
Hepatocellular carcinoma (HCC) is one of the most prevalent and lethal cancers worldwide, with death rates increasing by approximately 2-3% per year. The high mortality and poor prognosis of HCC are primarily due to inaccurate early diagnosis and lack of monitoring when liver transplantation is not feasible. Fatty acid (FA) metabolism is a critical metabolic pathway that provides energy and signaling factors in cancer, particularly in HCC, and promotes malignancy. Therefore, it is essential to explore specific FA metabolism-related diagnostic and prognostic signatures that can enable the effective early diagnosis and monitoring of HCC.Methods
In this study, we used genes associated with FA metabolism pathway and weighted gene co-expression network analysis (WGCNA
SUBMITTER: Zhao SS
PROVIDER: S-EPMC11566841 | biostudies-literature | 2024 Nov
REPOSITORIES: biostudies-literature