A2M is a potential core gene in intrahepatic cholangiocarcinoma

• Published in: BMC cancer 2022-01, Vol.22 (1), p.5-5, Article 5
• Main Authors: Zhang, Guanran, Liu, Xuyue, Sun, Zhengyang, Feng, Xiaoning, Wang, Haiyan, Hao, Jing, Zhang, Xiaoli
• Format: Article
• Language: English
• Subjects: A2M; alpha-Macroglobulins - genetics; Bile Duct Neoplasms - genetics; Bile ducts; Bioinformatics; Biomarkers, Tumor - genetics; Cholangiocarcinoma; Cholangiocarcinoma - genetics; Databases, Genetic; Datasets; DNA microarrays; Gene expression; Gene Expression Profiling; Gene Expression Regulation, Neoplastic - genetics; Gene Ontology; Genetic aspects; Genomes; Globulin; Health aspects; Hepatocellular carcinoma; Hub genes; Humans; Intrahepatic cholangiocarcinoma; Liver cancer; Medical prognosis; Microarray Analysis; Morbidity; Patients; Prognosis; Proteins; Risk Factors; Software; Survival; Survival Analysis; Therapeutic applications; Therapeutic targets; Tumors
• ISSN: 1471-2407; 1471-2407
• DOI: 10.1186/s12885-021-09070-2

Intrahepatic cholangiocarcinoma (ICC) is a type of malignant tumor ranking the second in the incidence of primary liver cancer following hepatocellular carcinoma. Both the morbidity and mortality have been increasing in recent years. Small duct type of ICC has potential therapeutic targets. But overall, the prognosis of patients with ICC is usually very poor. To search latent therapeutic targets for ICC, we programmatically selected the five most suitable microarray datasets. Then, we made an analysis of these microarray datasets (GSE26566, GSE31370, GSE32958, GSE45001 and GSE76311) collected from the Gene Expression Omnibus (GEO) database. The GEO2R tool was effective to find out differentially expressed genes (DEGs) between ICC and normal tissue. Gene Ontology (GO) function and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis were executed using the Database for Annotation, Visualization and Integrated Discovery (DAVID) v 6.8. The Search Tool for the Retrieval of Interacting Genes (STRING) database was used to analyze protein-protein interaction of these DEGs and protein-protein interaction of these DEGs was modified by Cytoscape3.8.2. Survival analysis was performed using Gene Expression Profiling Interactive Analysis (GEPIA) online analysis tool. A total of 28 upregulated DEGs and 118 downregulated DEGs were screened out. Then twenty hub genes were selected according to the connectivity degree. The survival analysis results showed that A2M was closely related to the pathogenesis and prognosis of ICC and was a potential therapeutic target for ICC. According to our study, low A2M expression in ICC compared to normal bile duct tissue was an adverse prognostic factor in ICC patients. The value of A2M in the treatment of ICC needs to be further studied.