4.5 Article

Development and validation of the JAX Cancer Treatment Profile (TM) for detection of clinically actionable mutations in solid tumors

Journal

EXPERIMENTAL AND MOLECULAR PATHOLOGY
Volume 98, Issue 1, Pages 106-112

Publisher

ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.yexmp.2014.12.009

Keywords

Cancer; Actionable; Mutation; Panel; FFPE

Categories

Funding

  1. National Cancer Institute [P30 CA034196]
  2. NATIONAL CANCER INSTITUTE [P30CA034196] Funding Source: NIH RePORTER

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Background: The continued development of targeted therapeutics for cancer treatment has required the concomitant development of more expansive methods for the molecular profiling of the patient's tumor. We describe the validation of the JAX Cancer Treatment Profile(TM) (JAX-CTP(TM), a next generation sequencing (NGS)-based molecular diagnostic assay that detects actionable mutations in solid tumors to inform the selection of targeted therapeutics for cancer treatment. Methods: NGS libraries are generated from DNA extracted from formalin fixed paraffin embedded tumors. Using hybrid capture, the genes of interest are enriched and sequenced on the Illumina HiSeq 2500 or MiSeq sequencers followed by variant detection and functional and clinical annotation for the generation of a clinical report. Results: The JAX-CTP(TM) detects actionable variants, in the form of single nucleotide variations and small insertions and deletions (<= 50 bp) in 190 genes in specimens with a neoplastic cell content of >= 10%. The JAX-CTP(TM) is also validated for the detection of clinically actionable gene amplifications. Conclusions: There is a lack of consensus in the molecular diagnostics field on the best method for the validation of NGS-based assays in oncology, thus the importance of communicating methods, as contained in this report. The growing number of targeted therapeutics and the complexity of the tumor genome necessitate continued development and refinement of advanced assays for tumor profiling to enable precision cancer treatment. (C) 2014 Elsevier Inc. All rights reserved.

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