Validation of Next Generation Sequencing Technologies in Comparison to Current Diagnostic Gold Standards for BRAF, EGFR and KRAS Mutational Analysis

被引:82
作者
McCourt, Clare M. [1 ]
McArt, Darragh G. [1 ]
Mills, Ken [2 ]
Catherwood, Mark A. [2 ,4 ]
Maxwell, Perry [1 ,4 ]
Waugh, David J. [3 ]
Hamilton, Peter [1 ]
O'Sullivan, Joe M. [3 ,4 ]
Salto-Tellez, Manuel [1 ,3 ,4 ,5 ,6 ]
机构
[1] Queens Univ Belfast, Mol Pathol Programme, Ctr Canc Res & Cell Biol, Belfast, Antrim, North Ireland
[2] Queens Univ Belfast, Ctr Canc Res & Cell Biol, Haematol Programme, Belfast, Antrim, North Ireland
[3] Queens Univ Belfast, Prostate Canc Programme, Ctr Canc Res & Cell Biol, Belfast, Antrim, North Ireland
[4] Belfast City Hosp, Belfast Trust, Belfast BT9 7AD, Antrim, North Ireland
[5] Natl Univ Hlth Syst, Canc Sci Inst Singapore, Singapore, Singapore
[6] Natl Univ Singapore, Singapore 117548, Singapore
来源
PLOS ONE | 2013年 / 8卷 / 07期
关键词
LUNG ADENOCARCINOMAS;
D O I
10.1371/journal.pone.0069604
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Next Generation Sequencing (NGS) has the potential of becoming an important tool in clinical diagnosis and therapeutic decision-making in oncology owing to its enhanced sensitivity in DNA mutation detection, fast-turnaround of samples in comparison to current gold standard methods and the potential to sequence a large number of cancer-driving genes at the one time. We aim to test the diagnostic accuracy of current NGS technology in the analysis of mutations that represent current standard-of-care, and its reliability to generate concomitant information on other key genes in human oncogenesis. Thirteen clinical samples (8 lung adenocarcinomas, 3 colon carcinomas and 2 malignant melanomas) already genotyped for EGFR, KRAS and BRAF mutations by current standard-of-care methods (Sanger Sequencing and q-PCR), were analysed for detection of mutations in the same three genes using two NGS platforms and an additional 43 genes with one of these platforms. The results were analysed using closed platform-specific proprietary bioinformatics software as well as open third party applications. Our results indicate that the existing format of the NGS technology performed well in detecting the clinically relevant mutations stated above but may not be reliable for a broader unsupervised analysis of the wider genome in its current design. Our study represents a diagnostically lead validation of the major strengths and weaknesses of this technology before consideration for diagnostic use.
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