Feasibility and first reports of the MATCH-R repeated biopsy trial at Gustave Roussy

Gonzalo Recondo1, Linda Mahjoubi2, Aline Maillard3

  • 1Université Paris-Saclay, Institut Gustave Roussy, Inserm U981, Biomarqueurs prédictifs et nouvelles stratégies thérapeutiques en oncologie, 94800 Villejuif, France.

NPJ Precision Oncology
|September 23, 2020
PubMed

Insights

The MATCH-R trial successfully characterized molecular mechanisms of cancer treatment resistance using tumor biopsies and advanced sequencing. This feasibility study demonstrates that profiling resistant tumors can guide future therapeutic strategies.

Area of Science:

  • Oncology
  • Molecular Biology
  • Genomics

Background:

  • Understanding tumor resistance is crucial for developing effective cancer treatments.
  • Acquired resistance to targeted therapies and immunotherapies poses a significant clinical challenge.
  • Innovative strategies are needed to overcome treatment resistance in cancer patients.

Purpose of the Study:

  • To characterize the molecular mechanisms underlying acquired resistance to cancer treatments.
  • To assess the feasibility of a prospective trial (MATCH-R) for molecular profiling of resistant tumors.
  • To establish patient-derived xenograft (PDX) models from resistant tumors for further study.

Main Methods:

  • Prospective trial design with tumor biopsies from patients progressing after initial response.
  • Molecular profiling using whole exome sequencing, RNA sequencing, and targeted next-generation sequencing (NGS).
  • Establishment of patient-derived xenograft (PDX) models in immunocompromised mice.

Main Results:

  • High feasibility of obtaining quality tumor biopsies (91%) and performing molecular profiling (83% sufficient for NGS).
  • Successful molecular profiling of 278 tumor samples, including whole exome and RNA sequencing.
  • Establishment of 54 patient-derived xenograft (PDX) models from 163 implanted tumors (33% success rate).
  • Low rate of adverse events (7.6%) associated with tumor biopsies.

Conclusions:

  • Systematic molecular profiling of resistant tumors is feasible and provides insights into resistance mechanisms.
  • The development of patient-derived models of acquired resistance is achievable.
  • This approach can inform the selection of subsequent therapeutic strategies for cancer patients.

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