Related Experiment Video
Updated: Jan 19, 2026

Flow-sorting and Exome Sequencing of the Reed-Sternberg Cells of Classical Hodgkin Lymphoma
Published on: June 10, 2017
Measuring Tumor Mutational Burden Using Whole-Exome Sequencing
1Molecular Characterization Laboratory, Frederick National Laboratory for Cancer Research, Leidos Biomedical Research, Inc., Frederick, MD, USA. tomas.vilimas@nih.gov.
Abstract:
Cancer immunotherapy, particularly a class of antibodies targeting the CTLA4 and PD-1/PD-L1 negative regulators of immune response (collectively called the immune checkpoint), is one of the most promising approaches for cancer treatment and the use of immune checkpoint inhibitors (ICI) has demonstrated remarkable success in several types of cancer. In studies of unselected patient populations, it was shown that melanoma, non small cell lung cancer (NSCLC), renal cell carcinoma and urothelial carcinoma patients treated with CTLA-4, PD-1 or PD-L1 inhibitors had an improved objective response and overall survival relative to chemotherapy or historical trends, and several ICIs have been approved for the treatment of these and other indications.More recently, several groups found that response to ICI therapy strongly correlates with a high burden of single nucleotide variant (SNV) mutations in the tumor genome, termed tumor mutational burden (TMB), usually expressed as the number of nonsynonymous single nucleotide variants per megabase of sequenced genome. These studies showed that TMB is a promising predictive biomarker for ICI response in melanoma, urothelial carcinoma and a subset of NSCLC patients. High TMB relates to ICI response via the production of increased numbers of novel, mutant peptide antigens (neoantigens), resulting in enhanced recognition and killing of neoantigen-presenting tumor cells by cytotoxic CD8+ T cells.In this chapter I describe the current best-practice methods for measuring TMB in tumor specimens using whole-exome sequencing (WES).
Insights
Tumor mutational burden (TMB) is a key predictor of cancer immunotherapy response. Measuring TMB using whole-exome sequencing (WES) helps identify patients likely to benefit from immune checkpoint inhibitors (ICIs).
Area of Science:
- Oncology
- Immunology
- Genomics
Background:
- Cancer immunotherapy utilizing immune checkpoint inhibitors (ICIs) targeting CTLA-4 and PD-1/PD-L1 has shown significant success in various cancers.
- Patient response to ICIs correlates with tumor mutational burden (TMB), a measure of single nucleotide variant (SNV) mutations within the tumor genome.
Purpose of the Study:
- To present best-practice methods for measuring TMB in tumor specimens.
- To highlight TMB as a predictive biomarker for ICI therapy efficacy.
Main Methods:
- Whole-exome sequencing (WES) is employed for TMB measurement.
- TMB is quantified as the number of nonsynonymous SNVs per megabase of the sequenced genome.
Main Results:
- High TMB is associated with improved objective response and overall survival in patients treated with ICIs.
- TMB predicts ICI response in melanoma, urothelial carcinoma, and a subset of non-small cell lung cancer (NSCLC) patients.
Conclusions:
- TMB is a promising predictive biomarker for guiding ICI therapy selection.
- Increased TMB leads to more neoantigens, enhancing T cell-mediated tumor cell killing and response to immunotherapy.
Related Concept Videos
08:53Flow-sorting and Exome Sequencing of the Reed-Sternberg Cells of Classical Hodgkin Lymphoma
11:15Next Generation Sequencing for the Detection of Actionable Mutations in Solid and Liquid Tumors
11:11Detection of Rare Mutations in CtDNA Using Next Generation Sequencing
Mutations
03:23Measurement of the In Vivo Burden of Bacteria Expressing Luciferase in an Insect Larva
07:44Measuring Microbial Mutation Rates with the Fluctuation Assay

