# Very High vs. High Tumor Mutational Burden Across Tumors: Real-World Associations with MSI, Pathway Features, and Immunotherapy Outcomes

**Authors:** Maria Fernanda Teixeira, Victoria Tomaz, Lucas Campos Barbosa e Silva, Uelson Donizete, Francisco Tustumi, Helder Imoto Nakaya, Juliana Rodrigues Beal, Fernando Moura, Mitesh J. Borad, Paulo Vidal Campregher, Pedro Luiz Serrano Uson Junior

PMC · DOI: 10.3390/biomedicines14030593 · Biomedicines · 2026-03-06

## TL;DR

This study finds that very high tumor mutational burden is strongly linked to microsatellite instability but does not improve immunotherapy outcomes compared to high TMB.

## Contribution

The paper introduces a real-world analysis of extreme TMB thresholds and their biological and clinical implications beyond standard classifications.

## Key findings

- Very high TMB was strongly associated with microsatellite instability (MSI) compared to high TMB.
- No significant differences in immunotherapy response or survival were observed between TMB-VH and TMB-H groups.
- Pathway-level genomic features did not show statistically significant differences between TMB groups.

## Abstract

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.

## Full-text entities

- **Diseases:** Tumor (MESH:D009369)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

_Full body text omitted from this summary view._ Fetch the complete paper as Markdown: https://tomesphere.com/paper/PMC13024517/full.md

## Figures

5 figures with captions in the complete paper: https://tomesphere.com/paper/PMC13024517/full.md

## References

16 references — full list in the complete paper: https://tomesphere.com/paper/PMC13024517/full.md

---
Source: https://tomesphere.com/paper/PMC13024517