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TMB and Inflammatory Gene Expression Associated with Clinical Outcomes following Immunotherapy in Advanced Melanoma
F Stephen Hodi1, Jedd D Wolchok2,3,4,5, Dirk Schadendorf6
1Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts. stephen_hodi@dfci.harvard.edu.
Abstract:
Outcomes for patients with melanoma have improved over the past decade as a result of the development and FDA approval of immunotherapies targeting cytotoxic T lymphocyte antigen-4 (CTLA-4), programmed death-1 (PD-1), and programmed death ligand 1 (PD-L1). However, these therapies do not benefit all patients, and an area of intensive research investigation is identifying biomarkers that can predict which patients are most likely to benefit from them. Here, we report exploratory analyses of the associations of tumor mutational burden (TMB), a 4-gene inflammatory gene expression signature, and BRAF mutation status with tumor response, progression-free survival, and overall survival in patients with advanced melanoma treated as part of the CheckMate 066 and 067 phase III clinical trials evaluating immuno-oncology therapies. In patients enrolled in CheckMate 067 receiving the anti-PD-1 inhibitor nivolumab (NIVO) alone or in combination with the anti-CTLA-4 inhibitor ipilimumab (IPI) or IPI alone, longer survival appeared to associate with high (>median) versus low (≤median) TMB and with high versus low inflammatory signature scores. For NIVO-treated patients, the results regarding TMB association were confirmed in CheckMate 066. In addition, improved survival was observed with high TMB and absence of BRAF mutation. Weak correlations were observed between PD-L1, TMB, and the inflammatory signature. Combined assessment of TMB, inflammatory gene expression signature, and BRAF mutation status may be predictive for response to immune checkpoint blockade in advanced melanoma.
Insights
Identifying biomarkers like tumor mutational burden (TMB), inflammatory gene expression, and BRAF mutation status can predict patient response to immune checkpoint inhibitors for advanced melanoma.
Area of Science:
- Oncology
- Immunology
- Genetics
Background:
- Immunotherapies targeting CTLA-4, PD-1, and PD-L1 have improved melanoma outcomes.
- Not all patients benefit from current immunotherapies, necessitating biomarker discovery.
- Predictive biomarkers are crucial for optimizing treatment selection in advanced melanoma.
Purpose of the Study:
- To explore associations between tumor mutational burden (TMB), inflammatory gene expression signature, and BRAF mutation status with treatment outcomes.
- To identify predictive biomarkers for response to immune checkpoint blockade in advanced melanoma patients.
Main Methods:
- Exploratory analyses of phase III clinical trials (CheckMate 066 and 067).
- Evaluation of tumor mutational burden (TMB), a 4-gene inflammatory signature, and BRAF mutation status.
- Assessment of associations with tumor response, progression-free survival, and overall survival.
Main Results:
- Higher TMB and inflammatory signature scores correlated with longer survival in patients receiving nivolumab (anti-PD-1) alone or with ipilimumab (anti-CTLA-4).
- High TMB and absence of BRAF mutation were associated with improved survival in nivolumab-treated patients.
- Weak correlations were found between PD-L1, TMB, and the inflammatory signature.
Conclusions:
- Combined assessment of TMB, inflammatory gene expression, and BRAF mutation status may predict response to immune checkpoint blockade.
- These biomarkers hold potential for guiding treatment decisions in advanced melanoma.
- Further research is warranted to validate these findings for clinical application.
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