Bioinformatics based upon multiomic analysis of the role of CIP2A in cholangiocarcinoma and its prognostic correlation
Objective To explore the expression of CIP2A in intrahepatic cholangiocarcinoma(ICC)and examine its correlation with tumor characteristics.Methods Between 2010 and 2020,ICC and adjacent normal tissues were harvested from 66 operated ICC patients.General profiles,clinical pathological parameters and tissue samples were collected.The expression of CIP2A in ICC was analyzed by the database of GEPIA2.Western blot,real-time fluorescent quantitative polymerase chain reaction(qRT-PCR)and immunohistochemical stain were utilized for detecting the expression level of CIP2A.The relationship between CIP2A expression level and clinical pathological parameters was analyzed by immunohistochemical stain.The database of GEPIA2 was accessing for examining the relationship between CIP2A expression and overall survival and disease-free survival.RBE cell line was cultured in vitro.After silencing CIP2A by siRNA transfection,transcriptome sequencing was performed to preliminarily analyze the genes and signal pathways related to CIP2A.Results As compared with adjacent tissues,the levels of CIP2A mRNA and protein spiked markedly in ICC.A high expression of CIP2A was associated with tumor differentiation,vascular invasion and lymph node metastasis(P<0.05).Furthermore,CIP2A was correlated closely with tumor microenvironment,proteoglycan regulation,PI3K-AKT signaling pathway,lipid metabolism and ribosome regulation pathways.Conclusion A high expression of CIP2A is correlated closely with the clinical characteristics of ICC.Combining omics with clinical feature analysis may help to elucidate the role of CIP2A in the occurrence and development of ICC from the perspective of clinical tumor samples.This study provides theoretical rationales and potential therapeutic targets for the molecular mechanism of ICC progression.