Integrated profiling identifies ITGB3BP as prognostic biomarker for hepatocellular carcinoma.

摘要: Hepatocellular carcinoma (HCC) is a highly malignant tumor. In this study, we sought to identify novel biomarker for HCC by analyzing transcriptome and clinical data. The R software was used analyze the differentially expressed genes (DEGs) in datasets GSE74656 GSE84598 downloaded from Gene Expression Omnibus database, followed functional annotation. A total of 138 shared DEGs were screened two datasets. They mainly enriched "Metabolic pathways" pathway (Padj = 8.21E-08) involved carboxylic acid metabolic process 0.0004). top 10 hub found protein-protein interaction analysis upregulated tissues compared normal Cancer Genome Atlas database. Survival distinguished 8 CENPE, SPDL1, Hyaluronan-mediated motility receptor, Rac GTPase activating protein 1, Thyroid hormone receptor interactor 13, cytoskeleton-associated (CKAP) 2, CKAP5, Integrin subunit beta 3 binding (ITGB3BP) considered as prognostic genes. Multivariate cox regression indicated that all independent factors HCC. Furthermore, receiver operating characteristic curve revealed 8-hub model had better prediction performance overall survival T stage (p 0.008) significantly improved value 0.002). Human Protein showed expression ITGB3BP HCC, so further verified our cohort. results associated with lymph node metastasis.