Pan-cancer molecular tumor board experience with biomarker-driven precision immunotherapy

Bryan H Louie1, Shumei Kato2, Ki Hwan Kim3

  • 1Center for Personalized Cancer Therapy and Division of Hematology and Oncology, Department of Medicine, UC San Diego Moores Cancer Center, La Jolla, CA, USA. b1louie@health.ucsd.edu.

NPJ Precision Oncology
|September 22, 2022
PubMed

Insights

A Molecular Tumor Board (MTB) improved outcomes for advanced cancer patients receiving immune checkpoint blockade (ICB) by matching therapies to tumor molecular profiles. Higher matching scores correlated with significantly longer progression-free and overall survival, demonstrating precision medicine

Area of Science:

  • Oncology
  • Genomics
  • Immunotherapy

Background:

  • Most advanced cancer patients do not benefit from immune checkpoint blockade (ICB).
  • Tumor/immune/genome interactions are complex and may limit ICB efficacy.
  • N-of-One therapies aim to personalize treatment for refractory cancers.

Purpose of the Study:

  • To evaluate the impact of a multidisciplinary Molecular Tumor Board (MTB) on N-of-One therapy selection and patient outcomes.
  • To assess the correlation between molecular profile matching and clinical benefit in advanced cancer patients receiving ICB.
  • To identify factors associated with improved survival in patients treated with precision medicine strategies.

Main Methods:

  • Implementation of a multidisciplinary MTB to review multi-omic cancer data.
  • Selection of 80 advanced, refractory cancer patients who received ICB based on MTB recommendations.
  • Analysis of the degree of matching between tumor molecular characteristics and administered therapy (Matching Score).
  • Comparison of progression-free survival (PFS), overall survival (OS), and clinical benefit rates (CBR) between high and low Matching Score groups.

Main Results:

  • 75% of patients had a high degree of matching (≥50%) between tumor molecular profiles and therapy.
  • Patients with high Matching Scores had significantly longer median PFS (6.4 vs. 3.0 months) and OS (15.3 vs. 4.7 months).
  • Higher clinical benefit rates were observed in the high Matching Score group (53% vs. 21%).
  • Only the degree of matching and patient age independently correlated with outcomes; individual biomarkers did not.

Conclusions:

  • A precision medicine strategy using an MTB to match therapies, including ICB, to molecular profiles in advanced cancers is associated with improved clinical outcomes.
  • The degree of molecular matching, not the number of drugs or specific biomarkers, is a key predictor of treatment success.
  • MTBs can facilitate personalized treatment approaches for refractory cancers, enhancing efficacy of therapies like ICB.

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