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. 2019;12(Suppl1):S66-S73.

Gallbladder cancer integrated bioinformatics analysis of protein profile data

Mohammad Reza Zali  1 , Mona Zamanian Azodi  2 , Zahra Razzaghi  3 , Mohammad Hossain Heydari  4
Affiliations

Gallbladder cancer integrated bioinformatics analysis of protein profile data

Mohammad Reza Zali et al. Gastroenterol Hepatol Bed Bench. 2019.

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.

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Conflict of interest statement

The authors declare that they have no conflict of interest.

Figures

Figure 1
Figure 1
String network of 27 DEPs of GBC with 27 links; Seven proteins remained as individual proteins in the network
Figure 2
Figure 2
String network of 77 nodes with 917 links; Nodes with the highest degree and betweenness values are larger in size and darker orange, respectively
Figure 3
Figure 3
A pie chart view of biological processes identified by ClueGO for 27 DEPs. The astricks indicate the signficance of the grouping
See this image and copyright information in PMC

References

    1. Tan Y, Ma SY, Wang FQ, Meng HP, Mei C, Liu A, et al. Proteomic-based analysis for identification of potential serum biomarkers in gallbladder cancer. Oncol Rep. 2011;26:853–9. - PubMed
    1. Wi Y, Woo H, Won YJ, Jang JY, Shin A. Trends in gallbladder cancer incidence and survival in Korea. Cancer Res Treat. 2018;50:1444. - PMC - PubMed
    1. Jaruvongvanich V, Yang JD, Peeraphatdit T, Roberts LR. The incidence rates and survival of gallbladder cancer in the USA. Eur J Cancer Prev. 2019;28:1–9. - PubMed
    1. Tuo JY, Zhang M, Zheng RS, Zhang SW, Li GC, Yang NN, et al. Report of incidence and mortality of gallbladder cancer in China, 2014. Zhonghua Zhong Liu Za Zhi. 2018;40:894–899. - PubMed
    1. Nazemalhosseini-Mojarad E, Haghighi A, Taghipour N, Keshavarz A, Mohebi SR, Zali MR, et al. Subtype analysis of Cryptosporidium parvum and Cryptosporidium hominis isolates from humans and cattle in Iran. Vet Parasitol. 2011;179:250–2. - PubMed

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