Gallbladder cancer integrated bioinformatics analysis of protein profile data

Aim: Identifying the critical genes that differentiate gall bladder cancer from a normal gall bladder and the related biological terms was the aim of this study. Background: The molecular mechanism underlying gall bladder cancer (GBC) trigger and development still requires investigations. Potential therapeutic biomarkers can be identified through protein-protein interaction network prediction of proteome as a complementary study. Methods: Here, a literature review of proteomics studies of gall bladder cancer from 2010 to 2019 was undertaken to screen differentially expressed proteins in this cancer. A network of 27 differentially expressed proteins (DEPs) via Cytoscape 3.7.1 and its plug-ins was constructed and analyzed. Results: Ten proteins were introduced as hub-bottlenecks among which four were from DEPs. The gene ontology analysis also indicated that positive regulation of multi-organism process and regulation of response to biotic stimulus are the most disrupted biological processes of GBC considering their relationships with the DEPs. Conclusion: ACTG, ALB, GGH, and DYNC1H1, and relative biological terms were introduced as drug targets and possible diagnostic biomarkers. Keywords: Gallbladder cancer, Protein-protein interaction network analysis, Hub-bottleneck proteins, Biological process. (Please cite as: Zali MR, Zamanian Azodi M, Razaghi Z, Heydari MH. Gallbladder cancer integrated bioinformatics analysis of protein profile data. Gastroenterol Hepatol Bed Bench 2019;12(Suppl.1):S66-S73).