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Gallbladder cancer integrated bioinformatics analysis of protein profile data

ABSTRACT

Aim:

Identifying the critical genes in that differentiate gall bladder cancer from the normal gall bladder and the related biological terms are the aim of this study.

Background:

Molecular mechanism underlying gall bladder cancer (GBC) trigger and developments 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 handled 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 that among them 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 biomarker.