Discovery of Gene Fusions in Driver-Negative Cancer Samples From the National Cancer Institute-Molecular Analysis for

Stefan T Kaluziak1, Elizabeth M Codd1, Rashi Purohit1

  • 1Pathology Department, Massachusetts General Hospital, Boston, MA.

JCO Precision Oncology
|December 5, 2024
PubMed
Abstract

Insights

Reanalyzing cancer samples with anchored multiplex PCR (AMP) identified significantly more gene fusions than initially detected by the National Cancer Institute-Molecular Analysis for Therapy Choice (NCI-MATCH) trial, revealing potentially actionable targets for precision medicine.

Area of Science:

  • Oncology
  • Genetics
  • Molecular Biology

Background:

  • The National Cancer Institute-Molecular Analysis for Therapy Choice (NCI-MATCH) trial aimed to match patients to targeted therapies based on genetic alterations, irrespective of tumor type.
  • The initial NCI-MATCH screening using multiplex PCR identified gene fusions in 3.65% of 5,540 patients, a rate lower than expected.
  • Limitations of the NCI-MATCH assay included the inability to detect novel fusions and a requirement for prior knowledge of both fusion partners.

Purpose of the Study:

  • To re-evaluate NCI-MATCH samples negative for mutations-of-interest (MOI) using a more sensitive fusion detection technology.
  • To assess the prevalence of gene fusions missed by the original NCI-MATCH assay.
  • To identify potentially actionable fusions for precision oncology.

Main Methods:

  • 663 MOI-negative samples from the NCI-MATCH trial were reprocessed using anchored multiplex PCR (AMP) kits.
  • RNA samples were sequenced, and identified fusions were manually reviewed and orthogonally verified.
  • AMP technology allows fusion detection with knowledge of only one fusion partner.

Main Results:

  • Anchored multiplex PCR (AMP) identified 148 fusions in 142 out of 663 reanalyzed patients (21%), significantly increasing the detection rate.
  • Of the newly identified fusions, 120 were not covered by the original Oncomine Comprehensive Assay (OCA) panel used in NCI-MATCH.
  • Actionable fusions were found in 32 patients, including novel fusions in 24 patients. High fusion rates were observed in cholangiocarcinomas (35%) and sarcomas (39%).

Conclusions:

  • Advanced fusion detection technology like AMP significantly enhances the identification of gene fusions missed by earlier assays.
  • A substantial number of patients in the NCI-MATCH cohort harbored potentially actionable fusions that were previously undetected.
  • Optimizing fusion detection capabilities in genotyping assays is crucial for advancing precision medicine and improving patient outcomes.

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