Tumor-specific activity of precision medicines in the NCI-MATCH trial

Ivvone Zhou1, Deborah Plana2,3, Adam C Palmer1

  • 1Department of Pharmacology, Computational Medicine Program, UNC Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, 27599, USA.

Abstract

Insights

Precision cancer therapies show tumor-specific efficacy. Basket trials identified specific drug sensitivities in certain cancers, supporting their value for targeted treatment discovery.

Area of Science:

  • Oncology
  • Genomics
  • Clinical Trials

Background:

  • The National Cancer Institute (NCI)-MATCH trial investigated precision medicine by matching targeted therapies to genetic alterations in tumors, irrespective of cancer type.
  • Most NCI-MATCH subprotocols showed limited tumor shrinkage across all enrolled cancer types.
  • A hypothesis was formed that precision therapies might possess tumor type-specific efficacy, similar to conventional treatments.

Approach:

  • Permutation testing was used to analyze tumor volume change and progression-free survival data from ten NCI-MATCH subprotocols (435 patients).
  • Statistical significance was assessed using the Benjamini-Hochberg procedure to control the false discovery rate.

Key Points:

  • Six of ten subprotocols demonstrated statistically significant tumor-specific drug sensitivity.
  • Four subprotocols previously deemed ineffective showed potential tumor-specific activity upon re-analysis.
  • Identified potential applications include FGFR tyrosine kinase inhibitors for urothelial carcinomas with FGFR aberrations, MEK inhibitors for lung cancers with BRAF non-V600E mutations, and MEK inhibitors for cholangiocarcinomas with NRAS mutations.

Conclusions:

  • The study validates the utility of basket trials in precision oncology.
  • Basket trials can uncover tumor-specific drug activity even when therapies lack tumor-agnostic effects.
  • These findings facilitate the identification of targeted therapies for specific cancer types for future clinical investigation.

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