Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.12540/89
Title: Exome sequencing identifies potentially druggable mutations in nasopharyngeal carcinoma
Authors: Chow, Yock P. 
Tan, Lu P. 
Chai, San J. 
Aziz, Norazlin A. 
Choo, Siew W. 
Lim, Paul V. H. 
Pathmanathan, Rajadurai 
Kornain, Noor K. M. 
Lum, Chee L. 
Pua, Kin C. 
Yap, Yoke Y. 
Tan, Tee Y. 
Teo, Soo H. 
Khoo, Alan S. 
Patel, Vyomesh 
Issue Date: 2017
Publisher: Springer Nature
Source: Chow, Y. P., Tan, L. P., Aziz, N. A., Choo, S. W., Lim, P. V. H., Pathmanathan, R., ... & Tan, T. Y. (2017). Exome sequencing identifies potentially druggable mutations in nasopharyngeal carcinoma. Scientific Reports, 7, 42980.
Journal: Scientific Reports 
Abstract: In this study, we first performed whole exome sequencing of DNA from 10 untreated and clinically annotated fresh frozen nasopharyngeal carcinoma (NPC) biopsies and matched bloods to identify somatically mutated genes that may be amenable to targeted therapeutic strategies. We identified a total of 323 mutations which were either non-synonymous (n = 238) or synonymous (n = 85). Furthermore, our analysis revealed genes in key cancer pathways (DNA repair, cell cycle regulation, apoptosis, immune response, lipid signaling) were mutated, of which those in the lipid-signaling pathway were the most enriched. We next extended our analysis on a prioritized sub-set of 37 mutated genes plus top 5 mutated cancer genes listed in COSMIC using a custom designed HaloPlex target enrichment panel with an additional 88 NPC samples. Our analysis identified 160 additional non-synonymous mutations in 37/42 genes in 66/88 samples. Of these, 99/160 mutations within potentially druggable pathways were further selected for validation. Sanger sequencing revealed that 77/99 variants were true positives, giving an accuracy of 78%. Taken together, our study indicated that ~72% (n = 71/98) of NPC samples harbored mutations in one of the four cancer pathways (EGFR-PI3K-Akt-mTOR, NOTCH, NF-κB, DNA repair) which may be potentially useful as predictive biomarkers of response to matched targeted therapies.
URI: https://hdl.handle.net/20.500.12540/89
DOI: 10.1038/srep42980
Appears in Collections:Scholarly Publications

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