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Updated: Feb 1, 2026

The Clinical Application of Tumor Treating Fields Therapy in Glioblastoma
Published on: April 16, 2019
Approach to evaluating tumor mutational burden in routine clinical practice
John Truesdell1, Vincent A Miller1, David Fabrizio1
1Foundation Medicine, Inc., Cambridge, MA, USA.
Abstract:
Immune checkpoint inhibition with monoclonal antibodies has emerged as a promising therapeutic approach but in most tumor types responses are unpredictable and observed in a minority of treated patients. Positive and negative predictive biomarkers for efficacy of these costly drugs are desperately needed. Immunohistochemistry (IHC) for programmed death ligand (PD-L1) expression in tumor and inflammatory infiltrate has emerged as one predictive biomarker of some value. However, multiple confounders including those inherent to any IHC and the unique complexities of the biology of the immune response have limited its utility. Tumor mutational burden (TMB) has emerged as a seemingly more promising predictive biomarker for immunotherapy with checkpoint inhibitors in several tumor types and is likely to be incorporated into future treatment algorithms for these agents. Given this, the need to define and standardize key parameters of the most promising biomarkers becomes essential to allow all stakeholders to make meaningful observations and inferences as to the efficacy of ostensibly similar agents and combinations in various settings. This review briefly summarizes approaches to measurement of TMB and ongoing efforts to achieve harmonization of this key biomarker.
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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