Identification of potential biomarkers in nasopharyngeal carcinoma based on protein interaction analysis
by Yulanda Antonius; Didik Huswo Utomo; Widodo
International Journal of Bioinformatics Research and Applications (IJBRA), Vol. 13, No. 4, 2017

Abstract: Nasopharyngeal carcinoma (NPC) is malignant tumour that strongly related to Epstein-Barr virus infection. Several methods are available for diagnosis but it only indicates the viral titre. This research aims to identify new potential biomarker and those contributions in NPC signalling pathway. Biomarker was identified by topological analysis, modularity analysis and functional analysis using Cytoscape 3.2.1. Furthermore, biomarkers' candidate expression was confirmed by microarray data from NCBI and analyzed by non-paired t-test. The results showed four potential biomarkers with the highest value in each parameter of topological analysis such as RPA1, USP7, UBC and TERF2, but only RPA1 included in protein module with the highest score of 4.526, while UBC and TERF2 involved in protein module with lower score. Moreover, RPA1 has high expression in NPC samples (p < 0.05; FC = 1.07) and mainly related to cell cycle pathway. This study might help to understand the NPC mechanism and develop an appropriate treatment.

Online publication date: Sat, 14-Oct-2017

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Bioinformatics Research and Applications (IJBRA):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com