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Updated: Oct 7, 2025

Predictive Immune Modeling of Solid Tumors
Published on: February 25, 2020
Tumor-Specific and Tumor-Agnostic Molecular Signatures Associated With Response to Immune Checkpoint Inhibitors
Daniel Schlauch1,2, Xiaotong Fu1,2, Suzanne F Jones1
1Sarah Cannon Research Institute, Nashville, TN.
Purpose:
Next-generation sequencing (NGS) testing is being incorporated into routine standard of care for patients with cancer. Immune checkpoint inhibitors (CPIs) are approved for use in both tumor-specific and tumor-agnostic indications. We sought to determine tumor type-specific or tumor-agnostic correlations between mutations detected by NGS and response to CPIs.
Materials And Methods:
A retrospective analysis of 26,004 patient records with NGS data available was conducted. Time to treatment failure and overall survival analyses were performed. Hazard ratios and associated statistics were computed in the R programming language. The study was considered exempt from internal review board review and data were considered nonhuman subjects.
Results:
Response to CPIs varied between tumor types with melanoma and lung cancer performing relatively better on CPIs than other tumor types. Within tumor types, response to CPIs was stratified by mutations in specific genes. Tumor-agnostic markers including high tumor mutation burden and microsatellite instability-high were also associated with longer time to treatment failure on CPIs. Importantly, within the high tumor mutation burden and microsatellite instability-high groups, mutations in individual genes correlate with response to CPIs.
Conclusion:
The results from commercial NGS panels may be used to stratify patients for response to CPIs. In tumors where CPIs show relatively low efficacy, there may be distinct patient populations-based on gene mutation status-that are predicted to have better response to CPIs. Likewise, there may be distinct patient populations who do relatively worse on CPIs within tumor types known to respond well to CPIs.
Insights
Next-generation sequencing (NGS) identifies specific gene mutations that correlate with patient response to immune checkpoint inhibitors (CPIs). This can help personalize cancer treatment by predicting who will benefit most from CPIs.
Area of Science:
- Oncology
- Genomics
- Immunotherapy
Background:
- Next-generation sequencing (NGS) is increasingly used in cancer care.
- Immune checkpoint inhibitors (CPIs) are a key cancer therapy with broad indications.
Purpose of the Study:
- To investigate correlations between genetic mutations identified by NGS and patient response to CPIs.
- To explore both tumor-specific and tumor-agnostic patterns in CPI response.
Main Methods:
- Retrospective analysis of 26,004 cancer patient records with NGS data.
- Evaluation of time to treatment failure and overall survival.
- Statistical analysis using hazard ratios computed in R.
Main Results:
- CPI response varied by tumor type, with melanoma and lung cancer showing better outcomes.
- Specific gene mutations within tumor types correlated with CPI response.
- Tumor-agnostic markers like high tumor mutation burden and microsatellite instability-high were linked to improved treatment outcomes.
Conclusions:
- NGS results can stratify cancer patients for CPI treatment efficacy.
- Gene mutation status may identify patient subgroups with predicted better or worse responses to CPIs, even within responsive or non-responsive tumor types.
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