Development and Validation of a Scalable Next-Generation Sequencing System for Assessing Relevant Somatic Variants in Solid Tumors

Daniel H. Hovelson(University of Michigan–Ann Arbor), Andrew S. McDaniel(University of Michigan–Ann Arbor), Andi K. Cani(University of Michigan–Ann Arbor), Bryan Johnson(Thermo Fisher Scientific (United States)), Kate Rhodes(Thermo Fisher Scientific (United States)), Paul D. Williams(Thermo Fisher Scientific (United States)), Santhoshi Bandla(Thermo Fisher Scientific (United States)), Geoffrey Bien(Thermo Fisher Scientific (United States)), Paul Choppa(Thermo Fisher Scientific (United States)), Fiona Hyland(Thermo Fisher Scientific (United States)), Rajesh Gottimukkala(Thermo Fisher Scientific (United States)), Guoying Liu(Thermo Fisher Scientific (United States)), Manimozhi Manivannan(Thermo Fisher Scientific (United States)), Jeoffrey Schageman(Thermo Fisher Scientific (United States)), Efren Ballesteros-Villagrana(Thermo Fisher Scientific (United States)), Catherine S. Grasso(Oregon Health & Science University), Michael J. Quist(Oregon Health & Science University), Venkata Yadati(University of Michigan–Ann Arbor), Anmol M. Amin(University of Michigan–Ann Arbor), Javed Siddiqui(University of Michigan–Ann Arbor), Bryan L. Betz(University of Michigan–Ann Arbor), Karen E. Knudsen(Thomas Jefferson University), Kathleen A. Cooney(University of Michigan–Ann Arbor), Felix Y. Feng(University of Michigan–Ann Arbor), Michael H. Roh(University of Michigan–Ann Arbor), Peter S. Nelson(Fred Hutch Cancer Center), Chia‐Jen Liu(University of Michigan–Ann Arbor), David G. Beer(Michigan Center for Translational Pathology), Peter Wyngaard(Thermo Fisher Scientific (United States)), Arul M. Chinnaiyan(University of Michigan–Ann Arbor), Seth Sadis(Thermo Fisher Scientific (United States)), Daniel R. Rhodes(University of Michigan–Ann Arbor), Scott A. Tomlins(Michigan Center for Translational Pathology)
Neoplasia
April 1, 2015
Cited by 227Open Access
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Abstract

Next-generation sequencing (NGS) has enabled genome-wide personalized oncology efforts at centers and companies with the specialty expertise and infrastructure required to identify and prioritize actionable variants. Such approaches are not scalable, preventing widespread adoption. Likewise, most targeted NGS approaches fail to assess key relevant genomic alteration classes. To address these challenges, we predefined the catalog of relevant solid tumor somatic genome variants (gain-of-function or loss-of-function mutations, high-level copy number alterations, and gene fusions) through comprehensive bioinformatics analysis of >700,000 samples. To detect these variants, we developed the Oncomine Comprehensive Panel (OCP), an integrative NGS-based assay [compatible with <20 ng of DNA/RNA from formalin-fixed paraffin-embedded (FFPE) tissues], coupled with an informatics pipeline to specifically identify relevant predefined variants and created a knowledge base of related potential treatments, current practice guidelines, and open clinical trials. We validated OCP using molecular standards and more than 300 FFPE tumor samples, achieving >95% accuracy for KRAS, epidermal growth factor receptor, and BRAF mutation detection as well as for ALK and TMPRSS2:ERG gene fusions. Associating positive variants with potential targeted treatments demonstrated that 6% to 42% of profiled samples (depending on cancer type) harbored alterations beyond routine molecular testing that were associated with approved or guideline-referenced therapies. As a translational research tool, OCP identified adaptive CTNNB1 amplifications/mutations in treated prostate cancers. Through predefining somatic variants in solid tumors and compiling associated potential treatment strategies, OCP represents a simplified, broadly applicable targeted NGS system with the potential to advance precision oncology efforts.


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