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Very High vs. High Tumor Mutational Burden Across Tumors: Real-World Associations with MSI, Pathway Features, and Immunotherapy Outcomes
by
Moura, Fernando
, Barbosa e Silva, Lucas Campos
, Donizete, Uelson
, Campregher, Paulo Vidal
, Teixeira, Maria Fernanda
, Tomaz, Victoria
, Uson Junior, Pedro Luiz Serrano
, Tustumi, Francisco
, Nakaya, Helder Imoto
, Beal, Juliana Rodrigues
, Borad, Mitesh J.
in
Biomarkers
/ Cancer
/ Clinical medicine
/ DNA fingerprinting
/ DNA sequencing
/ Drug approval
/ Genes
/ Genomes
/ Genomics
/ Hypotheses
/ Immune checkpoint inhibitors
/ Immunotherapy
/ Medical diagnosis
/ Medical laboratories
/ Metabolism
/ Metastases
/ Metastasis
/ microsatellite instability
/ Next-generation sequencing
/ pathway analysis
/ precision oncology
/ Regulatory approval
/ Software
/ Solid tumors
/ Statistical analysis
/ Survival analysis
/ tumor mutational burden
/ Tumors
2026
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Very High vs. High Tumor Mutational Burden Across Tumors: Real-World Associations with MSI, Pathway Features, and Immunotherapy Outcomes
by
Moura, Fernando
, Barbosa e Silva, Lucas Campos
, Donizete, Uelson
, Campregher, Paulo Vidal
, Teixeira, Maria Fernanda
, Tomaz, Victoria
, Uson Junior, Pedro Luiz Serrano
, Tustumi, Francisco
, Nakaya, Helder Imoto
, Beal, Juliana Rodrigues
, Borad, Mitesh J.
in
Biomarkers
/ Cancer
/ Clinical medicine
/ DNA fingerprinting
/ DNA sequencing
/ Drug approval
/ Genes
/ Genomes
/ Genomics
/ Hypotheses
/ Immune checkpoint inhibitors
/ Immunotherapy
/ Medical diagnosis
/ Medical laboratories
/ Metabolism
/ Metastases
/ Metastasis
/ microsatellite instability
/ Next-generation sequencing
/ pathway analysis
/ precision oncology
/ Regulatory approval
/ Software
/ Solid tumors
/ Statistical analysis
/ Survival analysis
/ tumor mutational burden
/ Tumors
2026
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Very High vs. High Tumor Mutational Burden Across Tumors: Real-World Associations with MSI, Pathway Features, and Immunotherapy Outcomes
by
Moura, Fernando
, Barbosa e Silva, Lucas Campos
, Donizete, Uelson
, Campregher, Paulo Vidal
, Teixeira, Maria Fernanda
, Tomaz, Victoria
, Uson Junior, Pedro Luiz Serrano
, Tustumi, Francisco
, Nakaya, Helder Imoto
, Beal, Juliana Rodrigues
, Borad, Mitesh J.
in
Biomarkers
/ Cancer
/ Clinical medicine
/ DNA fingerprinting
/ DNA sequencing
/ Drug approval
/ Genes
/ Genomes
/ Genomics
/ Hypotheses
/ Immune checkpoint inhibitors
/ Immunotherapy
/ Medical diagnosis
/ Medical laboratories
/ Metabolism
/ Metastases
/ Metastasis
/ microsatellite instability
/ Next-generation sequencing
/ pathway analysis
/ precision oncology
/ Regulatory approval
/ Software
/ Solid tumors
/ Statistical analysis
/ Survival analysis
/ tumor mutational burden
/ Tumors
2026
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Very High vs. High Tumor Mutational Burden Across Tumors: Real-World Associations with MSI, Pathway Features, and Immunotherapy Outcomes
Journal Article
Very High vs. High Tumor Mutational Burden Across Tumors: Real-World Associations with MSI, Pathway Features, and Immunotherapy Outcomes
2026
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Overview
Background: Tumor mutational burden (TMB) is an FDA-approved biomarker for immune checkpoint inhibitor (ICI) therapy. However, its predictive value varies among tumor types and molecular contexts. We investigated whether a very high TMB identifies a biologically distinct subset and whether a higher cutoff provides additional clinical insights beyond the conventional high TMB threshold. Methods: We analyzed 133 patients with advanced solid tumors and TMB ≥ 10 mutations/Mb (mut/Mb) who underwent tumor genomic profiling using a 523-gene DNA/RNA next-generation sequencing panel. Tumors were stratified into prespecified TMB categories: 10–20 mut/Mb (TMB-H) and >20 mut/Mb (TMB-VH). The clinical characteristics, ICI outcomes (in the treated subset), and pathway-level genomic features were compared between groups. Results: TMB-VH was observed in 42/133 (31.6%) patients and spanned more than 20 tumor types. MSI was markedly more prevalent in TMB-VH than in TMB-H tumors (38.1% vs. 2.2%; Fisher’s exact p = 8.9 × 10−8). Pathway-level comparisons did not identify statistically significant differences after false discovery rate correction (all q > 0.05), and the observed patterns were descriptive in nature. In the ICI-treated subset with complete follow-up, objective response did not differ according to the TMB group. Overall survival (OS) was also similar between groups, whether measured from metastatic diagnosis (log-rank p = 0.937) or from ICI initiation (log-rank p = 0.814), although OS was numerically longer in the TMB-VH group in both analyses without reaching statistical significance. Conclusions: In this cohort study, TMB-VH was strongly associated with MSI but not independently associated with improved ICI outcomes. Larger multicenter cohorts are needed to validate pathway-oriented patterns and clarify the clinical utility of extreme TMB thresholds across various histologies. Integrating the functional context (e.g., MSI status, gene-level context, and pathway-level features) with TMB magnitude may enable more robust, tumor-aware biomarker models for immunotherapy selection.
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