Clinical utility of the Oncomine Dx Target Test multi-CDx system and the possibility of utilizing those original

Ayaka Saito1, Hideki Terai1,2, Tae-Jung Kim3

  • 1Department of Internal Medicine (Pulmonary Medicine), School of Medicine, Keio University, Tokyo, Japan.

Cancer Medicine
|March 8, 2024
PubMed
Abstract

Insights

The Oncomine Dx Target Test (ODxTT) may miss rare EGFR mutations in non-small cell lung cancer (NSCLC) patients. Re-analysis of ODxTT sequence data can identify these overlooked driver mutations.

Area of Science:

  • Oncology
  • Genetics
  • Molecular Diagnostics

Background:

  • Companion diagnostics are vital for non-small cell lung cancer (NSCLC) treatment selection.
  • The Oncomine Dx Target Test (ODxTT) is a widely used diagnostic system.
  • The ability of ODxTT to detect rare driver gene mutations requires further evaluation.

Purpose of the Study:

  • To assess the performance of the Oncomine Dx Target Test (ODxTT) in identifying driver gene mutations in NSCLC.
  • To specifically evaluate ODxTT's sensitivity for detecting epidermal growth factor receptor (EGFR) mutations.
  • To investigate the potential for ODxTT to miss rare mutations.

Main Methods:

  • Retrospective analysis of 90 NSCLC patients tested with ODxTT at Keio University Hospital (May 2020 - March 2022).
  • Samples underwent both DNA and RNA testing.
  • Driver gene mutation status was assessed, with a focus on identifying missed mutations.

Main Results:

  • Driver mutations were detected in 62.2% of patients (56/90).
  • ODxTT failed to detect mutations in 34 specimens, but subsequent analysis revealed EGFR mutations in two and a KRAS mutation in one patient.
  • EGFR mutations were missed by ODxTT in 3.7% of cases overall, with similar findings in South Korean datasets, indicating potential for cross-border oversight.

Conclusions:

  • The ODxTT system may not detect rare EGFR mutations due to its sequence analysis program, even with adequate samples.
  • These rare mutations, excluded from the ODxTT's standard list, can be identified by re-analyzing ODxTT sequence data using next-generation sequencing.
  • This highlights the importance of reviewing raw sequence data for comprehensive mutation detection in NSCLC.