Multi-Cancer Genome Profiling for Neurotrophic Tropomyosin Receptor Kinase (NTRK) Fusion Genes: Analysis of Profiling

Hinano Nishikubo1, Kyoka Kawabata1, Saki Kanei1

  • 1Molecular Oncology and Therapeutics, 1-4-3 Asahimachi, Abeno-ku, Osaka 545-8585, Japan.

Cancers
|July 12, 2025
PubMed

Insights

GenMineTOP (GMT) with RNA sequencing showed superior diagnostic ability for neurotrophic tropomyosin receptor kinase (NTRK) fusions compared to other multi-cancer genome profiling tests. This RNA-seq equipped test is particularly effective for detecting NTRK2 fusions.

Area of Science:

  • Oncology
  • Genomics
  • Molecular Diagnostics

Background:

  • Neurotrophic tropomyosin receptor kinase (NTRK) genes (NTRK1, NTRK2, NTRK3) encode tyrosine kinase receptors, and their fusions are oncogenic drivers in cancer.
  • Accurate detection of NTRK fusions is crucial for targeted cancer therapy.
  • Multi-cancer genome profiling tests (multi-CGP) are increasingly used for comprehensive genomic analysis.

Purpose of the Study:

  • To compare the diagnostic performance of five different multi-CGP tests for detecting NTRK fusions.
  • To identify the most effective multi-CGP test for NTRK fusion detection in a Japanese cohort.
  • To evaluate the utility of RNA sequencing in multi-CGP tests for identifying NTRK fusions.

Main Methods:

  • Retrospective analysis of 88,688 tumor cases from the C-CAT profiling database (2019-2024).
  • Comparison of NTRK fusion detection rates across five multi-CGP tests: NCC Oncopanel, FoundationOne CDx (F1), FoundationOne Liquid (F1L), GenMineTOP (GMT), and Guardant360.
  • Statistical analysis to compare the diagnostic abilities of the tests, with a focus on GMT's RNA sequencing capability.

Main Results:

  • NTRK fusions were detected in 175 (0.20%) of 88,688 cases.
  • GenMineTOP (GMT), equipped with RNA sequencing, showed significantly higher detection rates for NTRK fusions (0.68%) compared to the other four tests (p < 0.05).
  • GMT demonstrated superior detection of NTRK2 fusions (p < 0.001) and higher rates for FGFR1/FGFR3 fusions, while F1L showed higher rates for ALK and RET fusions.

Conclusions:

  • GenMineTOP (GMT), utilizing RNA sequencing, demonstrates significant diagnostic utility for NTRK fusions, particularly NTRK2.
  • The inclusion of RNA sequencing in multi-CGP tests enhances the detection of specific driver gene fusions like NTRK.
  • GMT represents a valuable tool for comprehensive cancer profiling and identifying actionable NTRK fusions.