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ABSTRACT: Background
The occurrence rate of liver cancer is increasing in recent years. The significance of lactylation in tumor cells should not be neglected. This study aimed to discover a gene signature related to lactylation that can be used for diagnostic applications.Methods
Data were downloaded from The Cancer Genome Atlas (TCGA), GSE14520, GSE84402, and GSE62232 datasets. Differential analysis and random forest analysis were performed in hepatocellular carcinoma (HCC). Receiver operating characteristic (ROC) curve was used to evaluate diagnostic efficiency, and logistic regression was established to obtain the risk score equation. Besides, the expression of genes in the signature was identified by TCGA database and verified by real-time quantitative polymerase chain reaction
SUBMITTER: Zhang J
PROVIDER: S-EPMC11833428 | biostudies-literature | 2025 Jan
REPOSITORIES: biostudies-literature