Tumor mutational burden measurement using comprehensive genomic profiling assay

Hidenori Kage1, Shinji Kohsaka2, Kenji Tatsuno3

  • 1Next-Generation Precision Medicine Development Laboratory, Graduate School of Medicine, The University Tokyo, Tokyo, Japan.

Abstract

Insights

High tumor mutational burden (TMB) predicts response to immunotherapy. The Todai OncoPanel assay, particularly version 6, accurately measures TMB, with target TMB showing promise for clinical use.

Area of Science:

  • Oncology
  • Genomics
  • Immunotherapy

Background:

  • High tumor mutational burden (TMB) is associated with better response to immune checkpoint inhibitors.
  • Optimal methods for calculating TMB using comprehensive genomic profiling (CGP) assays are not well-established.

Purpose of the Study:

  • To evaluate the accuracy of TMB calculation using two versions of the Todai OncoPanel DNA assay.
  • To compare TMB measurements with whole exome sequencing (WES) and assess their correlation with clinical response in lung cancer patients.

Main Methods:

  • Todai OncoPanel DNA versions 3 and 6 were used to calculate TMB via three methods: target TMB, all coding TMB, and non-synonymous coding TMB.
  • TMB values were compared against WES-derived TMB.
  • Lung cancer patients treated with anti-PD-1/PD-L1 therapy were analyzed for TMB and PD-L1 expression.

Main Results:

  • Todai OncoPanel v6 demonstrated higher accuracy (91-96%) compared to v3 (71%) when correlated with WES TMB.
  • Patients with partial response or stable disease exhibited significantly higher non-synonymous coding TMB and PD-L1 expression than those with progressive disease.
  • A trend towards higher target TMB was observed in patients with better clinical outcomes.

Conclusions:

  • Improvements in Todai OncoPanel (v6), including increased gene targets and limited intronic regions, enhance TMB measurement accuracy.
  • Target TMB calculation may be the preferred method for assessing TMB in clinical settings.
  • Accurate TMB assessment is crucial for predicting immunotherapy response.

Related Concept Videos