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Updated: Oct 18, 2025

Identifying DNA Mutations in Purified Hematopoietic Stem/Progenitor Cells
Published on: February 24, 2014
Hypermutation, Mismatch Repair Deficiency, and Defining Predictors of Response to Checkpoint Blockade
Laura S Graham1, Colin C Pritchard2,3, Michael T Schweizer4
1Division of Oncology, Department of Medicine, University of Colorado, Aurora, Colorado. schweize@uw.edu laura.graham@cuanschutz.edu.
Abstract:
Mutational burden is positively correlated with tumor neoantigen load and studies have demonstrated an association between high tumor mutational burden (TMB) and response to checkpoint blockade. On the basis of a phase II study, the anti-PD-1 therapy, pembrolizumab, was given FDA approval for use in any solid tumor with a high TMB (i.e., >10 mutations/megabase) as assessed by the FoundationOne companion diagnostic. This was an important step in expanding a potentially efficacious treatment option to patients who are likely to benefit and have limited other therapies available. Following this approval, there has been debate regarding the wide applicability of this approval and the most appropriate use of TMB as a predictive biomarker, with several studies questioning the predictive utility of TMB in this context. We discuss the scientific rationale and utility of using TMB as a tool to predict response to immunotherapy as well as address this biomarker's limitations.
Insights
High tumor mutational burden (TMB) predicts response to immunotherapy like pembrolizumab. However, its broad applicability and utility as a predictive biomarker are debated, warranting a discussion of its limitations.
Area of Science:
- Oncology
- Immunotherapy
- Biomarker Research
Background:
- High tumor mutational burden (TMB) correlates with neoantigen load and response to immune checkpoint inhibitors.
- Pembrolizumab, an anti-PD-1 therapy, received FDA approval for solid tumors with high TMB (>10 mutations/megabase) based on a Phase II study.
- This approval expanded treatment options for patients likely to benefit from immunotherapy.
Purpose of the Study:
- To discuss the scientific rationale and utility of TMB as a predictive biomarker for immunotherapy response.
- To address the limitations and ongoing debate surrounding the predictive value of TMB.
Main Methods:
- Review of existing studies and clinical trial data.
- Analysis of the scientific basis for TMB as a predictive biomarker.
- Discussion of the clinical implications and limitations of TMB testing.
Main Results:
- TMB is associated with response to checkpoint blockade therapies.
- FDA approval of pembrolizumab for high TMB solid tumors marked a significant advancement.
- Concerns and debates exist regarding the predictive accuracy and broad applicability of TMB.
Conclusions:
- TMB serves as a valuable biomarker for predicting immunotherapy response in certain solid tumors.
- Further research and critical evaluation are necessary to fully understand TMB's utility and limitations.
- The role of TMB in guiding treatment decisions requires careful consideration within the broader clinical context.
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