Gallbladder cancer integrated bioinformatics analysis of protein profile data

Mohammad Reza Zali; Mona Zamanian Azodi; Zahra Razzaghi; Mohammad Hossain Heydari

Gallbladder cancer integrated bioinformatics analysis of protein profile data

Gastroenterol Hepatol Bed Bench. 2019;12(Suppl1):S66-S73.

Authors

Mohammad Reza Zali¹, Mona Zamanian Azodi², Zahra Razzaghi³, Mohammad Hossain Heydari⁴

Affiliations

¹ Gastroenterology and Liver Diseases Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
² Proteomics Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
³ Laser Application in Medical Sciences Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
⁴ Proteomics Research Center, faculty of paramedical sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.

PMID: 32099604
PMCID: PMC7011054

Abstract

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: Biological process; Gallbladder cancer; Hub-bottleneck proteins; Protein-protein interaction network analysis.