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 nonpaired 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.
| Original language | English |
|---|---|
| Pages (from-to) | 376-388 |
| Number of pages | 13 |
| Journal | International Journal of Bioinformatics Research and Applications |
| Volume | 13 |
| Issue number | 4 |
| DOIs | |
| Publication status | Published - 2017 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- biomarker
- Latent protein
- Nasopharyngeal carcinoma
- Protein analysis
- Protein network
- tumourigenesis
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