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Updated: Jul 9, 2025

Predictive Immune Modeling of Solid Tumors
Published on: February 25, 2020
Utility of Tumor Mutational Burden as a Biomarker for Response to Immune Checkpoint Inhibition in the VA Population
Micaela R Scobie1,2, Katherine I Zhou2,3, Sara Ahmed1
1Department of Veterans Affairs, National Oncology Program, Washington, DC.
Purpose:
Immune checkpoint inhibitors (ICIs) are used for an increasing number of indications across various tumor types, as well as several tumor-agnostic indications in patients with advanced cancer. Although many patients benefit from ICI therapy, others do not, highlighting a need for better predictive biomarkers. Tumor mutational burden (TMB) reflects the global number of mutations within a tumor and has been widely explored as a predictive biomarker of ICI response. The current tumor type-agnostic US Food and Drug Administration approval of pembrolizumab for metastatic solid tumors defines high TMB (TMB-H) as ≥10 mut/Mb as measured by FoundationOne CDx. This fixed cutoff may not be the ideal value across all solid tumors.
Methods:
We performed a retrospective analysis of the association of survival outcomes with TMB in patients treated with ICI for five major cancer types, using real-world data from the VA. Survival was measured from initiation of ICI, and Kaplan-Meier survival curves were compared by log-rank test.
Results:
Overall survival (OS) was significantly longer for patients with TMB-H versus TMB low tumors in non-small-cell lung cancer (NSCLC; n = 1,593), head and neck (H&N) cancer (n = 222), and urothelial cancer (n = 332). OS was not significantly different based on TMB status in melanoma (n = 207) or esophageal/gastric cancer (n = 248).
Conclusion:
Consistent with previous studies, a predictive value of TMB ≥10 mut/Mb for ICI response was found in NSCLC and H&N, but not in esophageal/gastric cancer. Although inconclusive in the literature, significant association was found in urothelial cancer. The predictive value of TMB in melanoma was inconclusive. Our analysis does not support the use of a fixed threshold for TMB as a standalone predictive biomarker for ICI across all solid tumors.
Insights
Tumor mutational burden (TMB) predicts response to immune checkpoint inhibitors (ICIs) in some cancers but not others. A fixed TMB threshold is not universally applicable across all solid tumors for predicting ICI efficacy.
Area of Science:
- Oncology
- Immunotherapy
- Biomarker Research
Background:
- Immune checkpoint inhibitors (ICIs) offer new treatment avenues for advanced cancers.
- Predictive biomarkers are crucial as not all patients respond to ICI therapy.
- Tumor mutational burden (TMB) is explored as a predictive biomarker for ICI response.
Purpose of the Study:
- To retrospectively analyze the association between TMB and survival outcomes in patients treated with ICIs.
- To evaluate TMB as a predictive biomarker across five major cancer types using real-world data.
- To assess the validity of a fixed TMB threshold (≥10 mut/Mb) for ICI response.
Main Methods:
- Retrospective analysis of real-world data from the VA healthcare system.
- Inclusion of patients with five major cancer types treated with ICIs.
- Survival analysis using Kaplan-Meier curves and log-rank tests.
Main Results:
- Overall survival (OS) was significantly longer in patients with high TMB (TMB-H) in non-small-cell lung cancer (NSCLC), head and neck (H&N) cancer, and urothelial cancer.
- No significant difference in OS based on TMB status was observed in melanoma or esophageal/gastric cancer.
- A TMB threshold of ≥10 mut/Mb predicted ICI response in NSCLC and H&N cancer, but not in esophageal/gastric cancer.
Conclusions:
- The predictive value of TMB for ICI response varies by cancer type.
- A fixed TMB threshold is not a universally applicable standalone biomarker for ICI response across all solid tumors.
- Further research is needed to refine TMB's role and explore its predictive value in specific cancer types like urothelial cancer and melanoma.
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