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Updated: Oct 8, 2025

Testing Cancer Immunotherapeutics in a Humanized Mouse Model Bearing Human Tumors
Published on: December 16, 2022
Reverse Translating Molecular Determinants of Anti-Programmed Death 1 Immunotherapy Response in Mouse Syngeneic Tumor
Peter Georgiev1, Eric S Muise2, Douglas E Linn3
1Department of Discovery Oncology, Merck & Co., Inc., Kenilworth, New Jersey.
This study validates tumor mutational burden (TMB) and T-cell-inflamed gene expression profile (GEP) as biomarkers for predicting response to PD-1 blockade immunotherapy in preclinical cancer models. Findings reveal mechanisms of response and resistance, guiding future combination strategies.
Area of Science:
- Immunology
- Oncology
- Genomics
Background:
- The programmed death 1/programmed death ligand 1 (PD-1/PD-L1) pathway is a key target in cancer immunotherapy.
- Somatic tumor mutational burden (TMB) and T-cell-inflamed gene expression profile (GEP) are established biomarkers for predicting response to anti-PD-1/PD-L1 therapy.
Purpose of the Study:
- To assess the association between TMB, murine-GEP, and the efficacy of PD-1 inhibition in preclinical syngeneic mouse models.
- To explore underlying biological mechanisms of response and resistance to PD-1 blockade.
- To evaluate combination strategies involving PD-1 inhibition with chemotherapy or antiangiogenic agents.
Main Methods:
- Utilized 11 preclinical syngeneic mouse tumor models treated with a murinized anti-PD-1 antibody (muDX400).
- Classified treatment response into highly responsive, partially responsive, and intrinsically resistant categories.
- Performed molecular and cellular profiling, including genomic analysis of TMB and murine-GEP, and assessed gene signatures related to angiogenesis, myeloid-derived suppressor cells, and TGFβ biology.
Main Results:
- Demonstrated a correlation between baseline TMB, murine-GEP, and response to muDX400 treatment.
- Identified distinct immune cell infiltration and activation patterns in responsive versus resistant tumors.
- Showed that murine-GEP can predict efficacy of combination therapies with chemotherapy or antiangiogenic agents.
Conclusions:
- Preclinical models confirm TMB and murine-GEP as predictive biomarkers for PD-1 blockade efficacy.
- Genomic and immune profiling provides insights into mechanisms of response and resistance.
- Findings support the use of these models for evaluating novel combination immunotherapies.
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