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Heterogeneity of response to immune checkpoint blockade in hypermutated experimental gliomas
Katrin Aslan1,2,3,4, Verena Turco1,2, Jens Blobner1,2
1DKTK Clinical Cooperation Unit Neuroimmunology and Brain Tumor Immunology, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Abstract:
Intrinsic malignant brain tumors, such as glioblastomas are frequently resistant to immune checkpoint blockade (ICB) with few hypermutated glioblastomas showing response. Modeling patient-individual resistance is challenging due to the lack of predictive biomarkers and limited accessibility of tissue for serial biopsies. Here, we investigate resistance mechanisms to anti-PD-1 and anti-CTLA-4 therapy in syngeneic hypermutated experimental gliomas and show a clear dichotomy and acquired immune heterogeneity in ICB-responder and non-responder tumors. We made use of this dichotomy to establish a radiomic signature predicting tumor regression after pseudoprogression induced by ICB therapy based on serial magnetic resonance imaging. We provide evidence that macrophage-driven ICB resistance is established by CD4 T cell suppression and Treg expansion in the tumor microenvironment via the PD-L1/PD-1/CD80 axis. These findings uncover an unexpected heterogeneity of response to ICB in strictly syngeneic tumors and provide a rationale for targeting PD-L1-expressing tumor-associated macrophages to overcome resistance to ICB.
Insights
Glioblastomas often resist immune checkpoint blockade (ICB). This study reveals macrophage-driven resistance via T cell suppression and identifies a radiomic signature to predict ICB response in experimental gliomas.
Area of Science:
- Oncology
- Immunology
- Radiology
Background:
- Malignant brain tumors like glioblastomas exhibit resistance to immune checkpoint blockade (ICB).
- Predicting ICB response and understanding resistance mechanisms are challenging due to a lack of biomarkers and limited tissue accessibility.
Purpose of the Study:
- Investigate ICB resistance mechanisms in experimental gliomas.
- Identify predictive biomarkers for ICB therapy response.
- Explore therapeutic strategies to overcome ICB resistance.
Main Methods:
- Utilized syngeneic hypermutated experimental gliomas to model resistance to anti-PD-1 and anti-CTLA-4 therapy.
- Employed serial magnetic resonance imaging (MRI) to develop a radiomic signature.
- Analyzed tumor microenvironment for immune cell populations and molecular interactions.
Main Results:
- Observed a dichotomy in ICB response and acquired immune heterogeneity between responder and non-responder tumors.
- Developed a radiomic signature capable of predicting tumor regression post-ICB therapy.
- Demonstrated that macrophage-driven resistance involves CD4 T cell suppression and T regulatory cell expansion via the PD-L1/PD-1/CD80 axis.
Conclusions:
- ICB resistance in gliomas is complex and heterogeneous, even in syngeneic models.
- A radiomic signature can predict response to ICB therapy.
- Targeting PD-L1-expressing tumor-associated macrophages presents a potential strategy to enhance ICB efficacy.
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