Molecular Oncology (Nov 2023)

A rapid, multiplex digital PCR assay to detect gene variants and fusions in non‐small cell lung cancer

  • Bryan Leatham,
  • Katie McNall,
  • Hari K. K. Subramanian,
  • Lucien Jacky,
  • John Alvarado,
  • Dominic Yurk,
  • Mimi Wang,
  • Donald C. Green,
  • Gregory J. Tsongalis,
  • Aditya Rajagopal,
  • Jerrod J. Schwartz

DOI
https://doi.org/10.1002/1878-0261.13523
Journal volume & issue
Vol. 17, no. 11
pp. 2221 – 2234

Abstract

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Digital PCR (dPCR) is emerging as an ideal platform for the detection and tracking of genomic variants in cancer due to its high sensitivity and simple workflow. The growing number of clinically actionable cancer biomarkers creates a need for fast, accessible methods that allow for dense information content and high accuracy. Here, we describe a proof‐of‐concept amplitude modulation‐based multiplex dPCR assay capable of detecting 12 single‐nucleotide and insertion/deletion (indel) variants in EGFR, KRAS, BRAF, and ERBB2, 14 gene fusions in ALK, RET, ROS1, and NTRK1, and MET exon 14 skipping present in non‐small cell lung cancer (NSCLC). We also demonstrate the use of multi‐spectral target‐signal encoding to improve the specificity of variant detection by reducing background noise by up to an order of magnitude. The assay reported an overall 100% positive percent agreement (PPA) and 98.5% negative percent agreement (NPA) compared with a sequencing‐based assay in a cohort of 62 human formalin‐fixed paraffin‐embedded (FFPE) samples. In addition, the dPCR assay rescued actionable information in 10 samples that failed to sequence, highlighting the utility of a multiplexed dPCR assay as a potential reflex solution for challenging NSCLC samples.

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