Neoplasia: An International Journal for Oncology Research (Apr 2015)

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

  • Daniel H. Hovelson,
  • Andrew S. McDaniel,
  • Andi K. Cani,
  • Bryan Johnson,
  • Kate Rhodes,
  • Paul D. Williams,
  • Santhoshi Bandla,
  • Geoffrey Bien,
  • Paul Choppa,
  • Fiona Hyland,
  • Rajesh Gottimukkala,
  • Guoying Liu,
  • Manimozhi Manivannan,
  • Jeoffrey Schageman,
  • Efren Ballesteros-Villagrana,
  • Catherine S. Grasso,
  • Michael J. Quist,
  • Venkata Yadati,
  • Anmol Amin,
  • Javed Siddiqui,
  • Bryan L. Betz,
  • Karen E. Knudsen,
  • Kathleen A. Cooney,
  • Felix Y. Feng,
  • Michael H. Roh,
  • Peter S. Nelson,
  • Chia-Jen Liu,
  • David G. Beer,
  • Peter Wyngaard,
  • Arul M. Chinnaiyan,
  • Seth Sadis,
  • Daniel R. Rhodes,
  • Scott A. Tomlins

DOI
https://doi.org/10.1016/j.neo.2015.03.004
Journal volume & issue
Vol. 17, no. 4
pp. 385 – 399

Abstract

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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 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.