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ABSTRACT: Objective
This research aimed to identify alternative splicing (AS) variants in hepatocellular carcinoma (HCC) and assess their prognostic biomarker potential. We analyzed genome-wide prognostic-associated AS events to pinpoint specific genes that could predict HCC patient outcomes and serve as therapeutic targets.Methods
Analyzing 343 liver cancer samples from The Cancer Genome Atlas (TCGA) via RNA-seq, we evaluated the impact of seven AS patterns on HCC. We constructed a prognostic prediction model using Cox proportional hazards regression and developed a splicing network by correlating survival-associated AS events with splicing factor expression. Notably, we investigated Formiminotransferase cyclodeaminase (FTCD) gene for its role in liver cancer cell proliferation and
SUBMITTER: Zhang Y
PROVIDER: S-EPMC11599552 | biostudies-literature | 2024 Nov
REPOSITORIES: biostudies-literature