Translational Oncology (Jan 2021)

Integration of whole-exome and anchored PCR-based next generation sequencing significantly increases detection of actionable alterations in precision oncology

  • Shaham Beg,
  • Rohan Bareja,
  • Kentaro Ohara,
  • Kenneth Wha Eng,
  • David C. Wilkes,
  • David J. Pisapia,
  • Wael Al Zoughbi,
  • Sarah Kudman,
  • Wei Zhang,
  • Rema Rao,
  • Jyothi Manohar,
  • Troy Kane,
  • Michael Sigouros,
  • Jenny Zhaoying Xiang,
  • Francesca Khani,
  • Brian D. Robinson,
  • Bishoy M. Faltas,
  • Cora N. Sternberg,
  • Andrea Sboner,
  • Himisha Beltran,
  • Olivier Elemento,
  • Juan Miguel Mosquera

Journal volume & issue
Vol. 14, no. 1
p. 100944

Abstract

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Background: Frequency of clinically relevant mutations in solid tumors by targeted and whole-exome sequencing is ∼30%. Transcriptome analysis complements detection of actionable gene fusions in advanced cancer patients. Goal of this study was to determine the added value of anchored multiplex PCR (AMP)-based next-generation sequencing (NGS) assay to identify further potential drug targets, when coupled with whole-exome sequencing (WES). Methods: Selected series of fifty-six samples from 55 patients enrolled in our precision medicine study were interrogated by WES and AMP-based NGS. RNA-seq was performed in 19 cases. Clinically relevant and actionable alterations detected by three methods were integrated and analyzed. Results: AMP-based NGS detected 48 fusions in 31 samples (55.4%); 31.25% (15/48) were classified as targetable based on published literature. WES revealed 29 samples (51.8%) harbored targetable alterations. TMB-high and MSI-high status were observed in 12.7% and 1.8% of cases. RNA-seq from 19 samples identified 8 targetable fusions (42.1%), also captured by AMP-based NGS. When number of actionable fusions detected by AMP-based NGS were added to WES targetable alterations, 66.1% of samples had potential drug targets. When both WES and RNA-seq were analyzed, 57.8% of samples had targetable alterations. Conclusions: This study highlights importance of an integrative genomic approach for precision oncology, including use of different NGS platforms with complementary features. Integrating RNA data (whole transcriptome or AMP-based NGS) significantly enhances detection of potential targets in cancer patients. In absence of fresh frozen tissue, AMP-based NGS is a robust method to detect actionable fusions using low-input RNA from archival tissue.

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