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High tumour mutation burden improves overall survival in solid tumours treated with immune checkpoint inhibitors

High tumour mutation burden improves overall survival in solid tumours treated with immune checkpoin…
Photo by Pedro Forester Da Silva / Unsplash
Key Takeaway
Note high TMB improves OS in ICI-treated solid tumours but associations vary by cancer type and treatment.

This systematic review and meta-analysis examined the relationship between tumour mutation burden and clinical outcomes in patients with solid tumours. The analysis included 5278 patients receiving immune checkpoint inhibitors or chemotherapy. The study evaluated high tumour mutation burden versus low tumour mutation burden cohorts and compared ultra-high tumour mutation burden against a universal 10 mut/Mb cut-off. The primary outcome was overall survival, with progression-free survival as a secondary outcome. The setting of the included studies was not reported in the source data. Methodological variability, cut-off thresholds, sequencing platforms, and cut-off definitions were identified as key limitations. Funding or conflicts of interest were not reported.

In non-small cell lung cancer, high tumour mutation burden was significantly associated with improved overall survival. The hazard ratio was 0.56. For selected gastrointestinal cancers, high tumour mutation burden was significantly associated with improved overall survival. The hazard ratio was 0.36. In advanced or recurrent tumours, high tumour mutation burden was significantly associated with improved overall survival. The hazard ratio was 0.52. For ICI-treated patients receiving combined anti-PD-L1/PD-1 and anti-CTLA-4 therapy, high tumour mutation burden was significantly associated with improved overall survival. The hazard ratio was 0.47. Progression-free survival in these patients with combined therapy also showed improvement. The hazard ratio was 0.50.

In chemotherapy-treated cohorts, high tumour mutation burden was associated with better outcomes, but the association was less consistent. The hazard ratio for overall survival was 0.60. The hazard ratio for progression-free survival was 0.55. When comparing ultra-high tumour mutation burden to a universal 10 mut/Mb cut-off, ultra-high tumour mutation burden had better overall survival. The hazard ratio was 0.44 versus 0.58. Non-beneficial associations were observed in glioma and penile squamous cell carcinoma.

Safety and tolerability findings were not reported in the source data. Adverse events, serious adverse events, discontinuations, and tolerability were not reported. The study did not provide absolute numbers for outcomes or confidence intervals for the effect sizes. The 95% CI was not reported for any primary or secondary outcome. P-values were not reported for the specific comparisons listed.

These results suggest that standardising tumour mutation burden assessment and refining relevant thresholds are essential for optimising its role in precision oncology. The evidence indicates that high tumour mutation burden generally predicts better survival in patients receiving immune checkpoint inhibitors. However, the association was weaker and inconsistent in chemotherapy-treated cohorts. The lack of reported safety data limits the ability to assess the risk-benefit profile of tumour mutation burden stratification. Questions remain regarding the optimal cut-off thresholds for different tumour types and the impact of sequencing platform variability on mutation burden measurement.

The findings highlight the need for caution when interpreting tumour mutation burden as a predictive biomarker across all solid tumour types. The variability in cut-off definitions and sequencing platforms may influence the observed associations. Clinicians should consider the specific tumour type and treatment regimen when evaluating the potential utility of tumour mutation burden testing. The absence of reported adverse events means that safety profiles cannot be directly compared between high and low tumour mutation burden groups. Further research is needed to address these gaps and establish standardized protocols for tumour mutation burden assessment in clinical practice.

Study Details

Study typeMeta analysis
Sample sizen = 5,278
EvidenceLevel 1
PublishedMay 2026
View Original Abstract ↓
BACKGROUND: Tumour mutation burden (TMB) is an emerging pan-cancer biomarker with predictive value for immune checkpoint inhibitor (ICI) outcomes, yet evidence is inconsistent due to methodological variability and cut-off thresholds. This systematic review and meta-analysis evaluated the impact of TMB on overall survival (OS) and progression-free survival (PFS) across solid tumours in ICI-treated cohorts and its predictive relevance in non-ICI-treated cohorts. METHODS: Following PRISMA 2020 guidelines, we searched PubMed, Scopus, ScienceDirect and Cochrane for studies published between 2010 and 2024 reporting hazard ratios (HRs) and 95% confidence intervals (CIs) for OS and PFS in high- versus low-TMB cohorts. High and low TMB were defined by study-specific cut-offs, and ultra-high TMB was defined as the top 20% of cohort-specific values. Study quality was assessed with the Newcastle-Ottawa Scale; heterogeneity with I; publication bias with funnel plots/Egger's test; and robustness by leave-one-out analysis. RESULTS: 5278 patients across 28 studies were analysed. High TMB, defined by cohort-specific cut-offs, was significantly associated with improved OS and PFS, particularly in non-small cell lung cancer (OS: HR = 0.56), selected gastrointestinal cancers (OS: HR = 0.36), and advanced/recurrent tumours (OS: HR = 0.52). Benefits were greatest in ICI-treated patients, especially with combined anti-PD-L1/PD-1 and anti-CTLA-4 therapy (OS: HR = 0.47; PFS: HR = 0.50). Chemotherapy-treated cohorts also showed better outcomes, but less consistently (OS: HR = 0.60; PFS: HR = 0.55). Ultra-high TMB had better OS than the universal 10 mut/Mb cut-off (HR = 0.44 vs. 0.58). Non-beneficial associations were observed in glioma and penile squamous cell carcinoma, highlighting disease-specific variability. Sequencing platforms and cut-off definitions remained sources of heterogeneity. CONCLUSION: TMB demonstrates prognostic relevance and predictive utility in a histology- and treatment-context-dependent manner, with the most consistent associations in selected ICI-treated tumours. Associations in non-ICI-treated cohorts were weaker and inconsistent, indicating putative predictive value. Standardising TMB assessment and refining relevant thresholds are essential for optimising its role in precision oncology. TRIAL REGISTRATION: PROSPERO Registration Number: CRD42024608809.
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