Integration of bioinformatics analysis reveals ZNF248 as a potential prognostic and immunotherapeutic biomarker for LIHC: machine learning and experimental evidence.

ABSTRACT: Liver hepatocellular carcinoma (LIHC) is a major contributor to cancer-related mortality worldwide, posing substantial diagnostic and therapeutic challenges. Although zinc finger proteins (ZNFs) are known to play a role in LIHC, the specific function of ZNF248 remains poorly understood. In this study, we analyzed genomic and clinical data from The Cancer Genome Atlas (TCGA) to elucidate the role of ZNF248 through differential expression analysis, bioenrichment, immune response correlation, and drug sensitivity evaluation. Machine learning was employed to identify prognostic signatures derived from ZNF248, which were further validated using Receiver Operating Characteristic (ROC) analysis. Functional assays, including Western blot and rescue experiments, were performed to assess the impact

SUBMITTER: Weng L 

PROVIDER: S-EPMC11626259 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature