Actionable Structural Variant Detection via RNA-NGS and DNA-NGS in Patients With Advanced Non-Small Cell Lung Cancer

Dwight Owen1, Rotem Ben-Shachar2, Josephine Feliciano3

  • 1Ohio State University School of Medicine, Columbus.

JAMA Network Open
|November 4, 2024
PubMed
Abstract

Insights

RNA next-generation sequencing (NGS) combined with DNA-NGS detects more actionable structural variants in advanced non-small cell lung cancer (NSCLC) than DNA-NGS alone. Routine RNA-NGS implementation is suggested for improved NSCLC care.

Area of Science:

  • Oncology
  • Genomics
  • Molecular Diagnostics

Background:

  • National Comprehensive Cancer Network (NCCN) guidelines suggest RNA next-generation sequencing (NGS) may enhance detection of fusions and splicing variants in non-small cell lung cancer (NSCLC).
  • Despite recommendations, RNA-NGS adoption in routine oncology clinical care remains limited.

Purpose of the Study:

  • To compare the detection of NCCN-recommended actionable structural variants (aSVs) using concurrent DNA and RNA-NGS versus DNA-NGS alone in advanced lung adenocarcinoma.
  • To analyze clinical evidence from a diverse patient cohort with advanced lung adenocarcinoma.

Main Methods:

  • A multisite, retrospective cohort study of 5570 patients with advanced lung adenocarcinoma.
  • Analysis of linked molecular and clinical data from the Tempus multimodal database (February 2021 - October 2023).
  • Concurrent DNA and RNA-NGS solid-tissue profiling assays were performed.

Main Results:

  • Concurrent RNA-NGS and DNA-NGS identified 15.3% more patients with aSVs compared to DNA-NGS alone.
  • This included a 14.3% increase in actionable fusions and an 18.6% increase in MET exon 14 skipping alterations.
  • Emerging structural variants (eSVs) showed a 0.7% prevalence, with DNA-NGS alone detecting only 47.5% of them.

Conclusions:

  • Concurrent RNA-NGS and DNA-NGS demonstrate superior detection rates for multiple NCCN-recommended biomarkers in advanced NSCLC.
  • The findings support the routine implementation of RNA-NGS in the clinical care of advanced NSCLC patients for comprehensive variant detection.