Not All Next Generation Sequencing Diagnostics are Created Equal: Understanding the Nuances of Solid Tumor Assay Design for Somatic Mutation Detection

被引:42
作者
Gray, Phillip N. [1 ]
Dunlop, Charles L. M. [1 ]
Elliott, Aaron M. [1 ]
机构
[1] Ambry Genet, 15 Argonaut, Aliso Viejo, CA 92656 USA
来源
CANCERS | 2015年 / 7卷 / 03期
关键词
next generation sequencing; cancer panels; target enrichment; copy number; molecular inversion probes; somatic; germline; IN-SITU HYBRIDIZATION; COPY NUMBER VARIATION; COMPARATIVE GENOMIC HYBRIDIZATION; HUMAN BREAST-CANCER; ATAXIA-TELANGIECTASIA; KRAS MUTATIONS; HER2; STATUS; ATM GENE; PCR; VALIDATION;
D O I
10.3390/cancers7030837
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
The molecular characterization of tumors using next generation sequencing (NGS) is an emerging diagnostic tool that is quickly becoming an integral part of clinical decision making. Cancer genomic profiling involves significant challenges including DNA quality and quantity, tumor heterogeneity, and the need to detect a wide variety of complex genetic mutations. Most available comprehensive diagnostic tests rely on primer based amplification or probe based capture methods coupled with NGS to detect hotspot mutation sites or whole regions implicated in disease. These tumor panels utilize highly customized bioinformatics pipelines to perform the difficult task of accurately calling cancer relevant alterations such as single nucleotide variations, small indels or large genomic alterations from the NGS data. In this review, we will discuss the challenges of solid tumor assay design/analysis and report a case study that highlights the need to include complementary technologies (i.e., arrays) and germline analysis in tumor testing to reliably identify copy number alterations and actionable variants.
引用
收藏
页码:1313 / 1332
页数:20
相关论文
共 80 条
[1]   Cell cycle checkpoint signaling through the ATM and ATR kinases [J].
Abraham, RT .
GENES & DEVELOPMENT, 2001, 15 (17) :2177-2196
[2]   Direct selection of human genomic loci by microarray hybridization [J].
Albert, Thomas J. ;
Molla, Michael N. ;
Muzny, Donna M. ;
Nazareth, Lynne ;
Wheeler, David ;
Song, Xingzhi ;
Richmond, Todd A. ;
Middle, Chris M. ;
Rodesch, Matthew J. ;
Packard, Charles J. ;
Weinstock, George M. ;
Gibbs, Richard A. .
NATURE METHODS, 2007, 4 (11) :903-905
[3]   A Commercial Real-Time PCR Kit Provides Greater Sensitivity than Direct Sequencing to Detect KRAS Mutations A Morphology-Based Approach in Colorectal Carcinoma [J].
Angulo, Barbara ;
Garcia-Garcia, Elena ;
Martinez, Rebeca ;
Suarez-Gauthier, Ana ;
Conde, Esther ;
Hidalgo, Manuel ;
Lopez-Rios, Fernando .
JOURNAL OF MOLECULAR DIAGNOSTICS, 2010, 12 (03) :292-299
[4]  
[Anonymous], CLIN CANC RES
[5]   PCR bias toward the wild-type k-ras and p53 sequences:: Implications for PCR detection of mutations and cancer diagnosis [J].
Barnard, R ;
Futo, V ;
Pecheniuk, N ;
Slattery, M ;
Walsh, T .
BIOTECHNIQUES, 1998, 25 (04) :684-+
[6]   Population-based estimates of breast cancer risks associated with ATM gene variants c.7271T > G and c.1066-6T > G (IVS10-6T > G) from the breast cancer family registry [J].
Bernstein, J. L. ;
Teraoka, S. ;
Southey, M. C. ;
Jenkins, M. A. ;
Andrulis, I. L. ;
Knight, J. A. ;
John, E. M. ;
Lapinski, R. ;
Wolitzer, A. L. ;
Whittemore, A. S. ;
West, D. ;
Seminara, D. ;
Olson, E. R. ;
Spurdle, A. B. ;
Chenevix-Trench, G. ;
Giles, G. G. ;
Hopper, J. L. ;
Concannon, P. .
HUMAN MUTATION, 2006, 27 (11) :1122-1128
[7]   A method for counting PCR template molecules with application to next-generation sequencing [J].
Casbon, James A. ;
Osborne, Robert J. ;
Brenner, Sydney ;
Lichtenstein, Conrad P. .
NUCLEIC ACIDS RESEARCH, 2011, 39 (12) :e81
[8]  
Chen K, 2009, NAT METHODS, V6, P677, DOI [10.1038/nmeth.1363, 10.1038/NMETH.1363]
[9]  
Chiang DY, 2009, NAT METHODS, V6, P99, DOI [10.1038/nmeth.1276, 10.1038/NMETH.1276]
[10]   The Validation and Clinical Implementation of BRCAplus: A Comprehensive High-Risk Breast Cancer Diagnostic Assay [J].
Chong, Hansook Kim ;
Wang, Tao ;
Lu, Hsiao-Mei ;
Seidler, Sara ;
Lu, Hong ;
Keiles, Steven ;
Chao, Elizabeth C. ;
Stuenkel, A. J. ;
Li, Xiang ;
Elliott, Aaron M. .
PLOS ONE, 2014, 9 (05)