COPB2: A Novel Prognostic Biomarker That Affects Progression of HCC

• Published in: BioMed research international 2021, Vol.2021, p.6648078-14
• Main Authors: Zhang, Jiayao, Wang, Xiaoyu, Li, Guangbing, He, Jingyi, Lu, Ziwen, Yang, Yang, Jiang, Yong, Jiang, Liyong, Li, Feiyu, Liu, Jun
• Format: Article
• Language: English
• Subjects: Analysis; Biomarkers; Biomarkers, Tumor - genetics; Biomarkers, Tumor - metabolism; Biomedical research; Cancer; Carcinoma, Hepatocellular - genetics; Carcinoma, Hepatocellular - metabolism; Carcinoma, Hepatocellular - mortality; Carcinoma, Hepatocellular - pathology; Cell cycle; Cell Line, Tumor; Coatomer Protein - genetics; Coatomer Protein - metabolism; Consortia; Development and progression; Diagnosis; Disease Progression; Disease-Free Survival; Female; Gene expression; Gene set enrichment analysis; Genetic aspects; Genetic markers; Genomes; Genomics; Hepatocellular carcinoma; Hepatoma; Humans; Identification and classification; Liver cancer; Liver Neoplasms - genetics; Liver Neoplasms - metabolism; Liver Neoplasms - mortality; Liver Neoplasms - pathology; Male; Medical prognosis; Mesenchyme; Metastasis; Methods; Neoplasm Proteins - genetics; Neoplasm Proteins - metabolism; Pathogenesis; Phenotypes; Physiological aspects; Polyclonal antibodies; Properties; Proteins; Regression analysis; Regression models; Risk analysis; Risk factors; Signaling; Survival; Survival analysis; Survival Rate; Therapeutic targets; TOR protein; Tumors; Wound healing
• ISSN: 2314-6133; 2314-6141
• DOI: 10.1155/2021/6648078

Purpose. This study is aimed at investigating the expression, underlying biological function, and clinical significance of coatomer protein complex subunit beta 2 (COPB2) in hepatocellular carcinoma (HCC). Methods. HCC-related data were extracted from The Cancer Genome Atlas (TCGA) database, International Cancer Genome Consortium (ICGC) database, and Gene Expression Omnibus (GEO) database. A logistic regression module was applied to analyze the relationship between the expression of COPB2 and clinicopathologic characteristics. The Cox proportional hazard regression model and Kaplan–Meier method were used for survival analysis. Gene set enrichment analysis (GSEA) was used to annotate the underlying biological functions. Loss-of-function experiments were conducted to determine the underlying mechanisms. Results. COPB2 was overexpressed in HCC, and high expression of COPB2 was significantly correlated with higher alpha fetoprotein (AFP) (odds ratio OR=1.616, >20 vs. ≤20, p