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Updated: Jun 15, 2025

Integration of Wet and Dry Bench Processes Optimizes Targeted Next-generation Sequencing of Low-quality and Low-quantity Tumor Biopsies
Published on: April 11, 2016
Tumour mutational burden: clinical utility, challenges and emerging improvements
Jan Budczies1,2,3, Daniel Kazdal4,5,6, Michael Menzel4,6
1Institute of Pathology, Heidelberg University Hospital, Heidelberg, Germany. jan.budczies@med.uni-heidelberg.de.
Tumour mutational burden (TMB) predicts response to cancer immunotherapies. Ongoing research enhances TMB assessment and integrates it with other biomarkers for improved patient outcomes.
Area of Science:
- Oncology
- Genomics
- Immunology
Background:
- Tumour mutational burden (TMB) is the count of somatic mutations in cancer genomes and varies by cancer type.
- TMB is a validated biomarker for predicting response to immune-checkpoint inhibitors, leading to approvals like pembrolizumab for TMB-high tumors.
- Current research addresses limitations in TMB assessment and explores its broader clinical utility.
Purpose of the Study:
- To review the current landscape and future directions of research in tumour mutational burden (TMB).
- To highlight advancements in TMB assessment methodologies and conceptual frameworks.
- To emphasize the integration of TMB with other biomarkers for enhanced cancer treatment strategies.
Main Methods:
- Review of retrospective and prospective research on TMB as a predictive biomarker.
- Analysis of advancements in laboratory quality control for TMB assessment, addressing panel scope and tumour purity.
- Exploration of refined TMB concepts (clonal, persistent, HLA-corrected TMB, neoantigen load, mutational signatures).
- Examination of TMB integration with biomarkers like PD-L1, microsatellite instability, and immune gene expression.
Main Results:
- TMB has been established as a predictive biomarker for immune-checkpoint inhibitor response.
- Research is progressing in enhancing TMB measurement accuracy and refining its definition.
- Integration of TMB with other biomarkers shows promise for personalized cancer therapy.
Conclusions:
- Understanding TMB's role in cancer pathogenesis and immune recognition is crucial for oncology.
- Continued evolution of TMB assessment and integration with other biomarkers will advance precision oncology.
- Further research is needed to ascertain optimal TMB thresholds and applicability across all cancer types.
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