Approach to evaluating tumor mutational burden in routine clinical practice

John Truesdell1, Vincent A Miller1, David Fabrizio1

  • 1Foundation Medicine, Inc., Cambridge, MA, USA.

Insights

Predicting immunotherapy response is crucial. This review explores tumor mutational burden (TMB) as a promising biomarker, discussing measurement and standardization efforts for better treatment outcomes.

Area of Science:

  • Oncology
  • Immunology
  • Biomarker Discovery

Background:

  • Immune checkpoint inhibitors offer therapeutic promise but patient response is often unpredictable.
  • Predictive biomarkers are essential for selecting patients likely to benefit from these costly treatments.
  • Programmed death ligand (PD-L1) expression via immunohistochemistry (IHC) is a limited predictive biomarker due to biological and technical complexities.

Purpose of the Study:

  • To review current approaches for measuring tumor mutational burden (TMB).
  • To highlight ongoing efforts in harmonizing TMB as a predictive biomarker for immunotherapy.
  • To underscore the need for standardized biomarker assessment in cancer treatment.

Main Methods:

  • Review of existing literature on TMB measurement techniques.
  • Discussion of standardization initiatives for TMB assessment.
  • Analysis of TMB's role as a predictive biomarker in immunotherapy.

Main Results:

  • Tumor mutational burden (TMB) shows promise as a predictive biomarker for immunotherapy efficacy across various tumor types.
  • TMB is expected to be integrated into future treatment algorithms for immune checkpoint inhibitors.
  • Standardization of TMB measurement is critical for consistent and reliable clinical application.

Conclusions:

  • Harmonizing TMB measurement is essential for accurate prediction of immunotherapy response.
  • Standardized TMB assessment will facilitate meaningful comparisons of treatment efficacy.
  • Further efforts are needed to refine and standardize TMB as a key biomarker in clinical oncology.

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