Tumor mutational burden analysis of 2,000 Japanese cancer genomes using whole exome and targeted gene panel

Keiichi Hatakeyama1, Takeshi Nagashima2,3, Kenichi Urakami2

  • 1Medical Genetics Division, Shizuoka Cancer Center Research Institute.

Insights

Tumor mutational burden (TMB) estimation using targeted panels shows good correlation with whole exome sequencing for high-TMB tumors. However, panel sequencing may overestimate TMB in low-TMB cancers, missing specific mutation patterns.

Area of Science:

  • Oncology
  • Genomics
  • Cancer Research

Background:

  • Tumor mutational burden (TMB) is a key biomarker for predicting immunotherapy response.
  • Targeted gene panels are commonly used for TMB estimation, but their accuracy compared to whole exome sequencing (WES) is not well-established across diverse cancer types.

Purpose of the Study:

  • To compare TMB estimations between targeted panel sequencing and WES in a large cohort of Japanese solid tumors.
  • To evaluate the reliability of targeted panel sequencing for TMB assessment in different tumor mutation strata.

Main Methods:

  • Analysis of 2,908 Japanese solid tumors using next-generation sequencing.
  • Comparison of TMB data generated by a 409-gene targeted panel and WES.
  • Selection of 2,040 samples with sufficient tumor cellularity for TMB analysis.

Main Results:

  • A strong correlation between WES-derived TMB and panel-based estimated TMB (eTMB) was observed in high-TMB tumors (≥20 mutations/Mb).
  • Panel sequencing tended to overestimate TMB in low-TMB tumors, potentially masking specific mutation features like EGFR accumulations in lung cancer.
  • Accurate TMB estimation by panels was maintained in tumors with high-frequency mutations, such as those with POLE mutations or microsatellite instability.

Conclusions:

  • Targeted gene panels can reliably estimate TMB in high-TMB and hypermutator tumors.
  • Caution is advised when interpreting panel-based TMB in low-TMB tumors due to potential overestimation.
  • These findings offer valuable insights for clinical TMB assessment using targeted panels.

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