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Immune landscape of a genetically engineered murine model of glioma compared with human glioma
Daniel B. Zamler, … , Giulio F. Draetta, Jian Hu
Daniel B. Zamler, … , Giulio F. Draetta, Jian Hu
Published June 2, 2022
Citation Information: JCI Insight. 2022;7(12):e148990. https://doi.org/10.1172/jci.insight.148990.
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Research Article Neuroscience Oncology

Immune landscape of a genetically engineered murine model of glioma compared with human glioma

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Abstract

Novel therapeutic strategies targeting glioblastoma (GBM) often fail in the clinic, partly because preclinical models in which hypotheses are being tested do not recapitulate human disease. To address this challenge, we took advantage of our previously developed spontaneous Qk/Trp53/Pten (QPP) triple-knockout model of human GBM, comparing the immune microenvironment of QPP mice with that of patient-derived tumors to determine whether this model provides opportunity for gaining insights into tumor physiopathology and preclinical evaluation of therapeutic agents. Immune profiling analyses and single-cell sequencing of implanted and spontaneous tumors from QPP mice and from patients with glioma revealed intratumoral immune components that were predominantly myeloid cells (e.g., monocytes, macrophages, and microglia), with minor populations of T, B, and NK cells. When comparing spontaneous and implanted mouse samples, we found more neutrophils and T and NK cells in the implanted model. Neutrophils and T and NK cells were increased in abundance in samples derived from human high-grade glioma compared with those derived from low-grade glioma. Overall, our data demonstrate that our implanted and spontaneous QPP models recapitulate the immunosuppressive myeloid-dominant nature of the tumor microenvironment of human gliomas. Our model provides a suitable tool for investigating the complex immune compartment of gliomas.

Authors

Daniel B. Zamler, Takashi Shingu, Laura M. Kahn, Kristin Huntoon, Cynthia Kassab, Martina Ott, Katarzyna Tomczak, Jintan Liu, Yating Li, Ivy Lai, Rocio Zorilla-Veloz, Cassian Yee, Kunal Rai, Betty Y.S. Kim, Stephanie S. Watowich, Amy B. Heimberger, Giulio F. Draetta, Jian Hu

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Figure 5

Myeloid cell subtypes of human GBM are identified in the QPP model.

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Myeloid cell subtypes of human GBM are identified in the QPP model.
Clus...
Clustering at a resolution of 0.65 to reveal myeloid subtypes in the QPP mouse model tumor or human glioma. UMAPs of immune constituents from (A) QPP-derived tumor (n = 6) and (B) patient glioma (n = 15) samples showing clusters of myeloid subtypes and representative markers for the following populations: monocytes (Cd14 and CD14), microglia (Grn and GRN), complement-expressing microglia (C1qa and C1QA), macrophages (Itgam and ITGAM), M0-like macrophages (Pirb and LILRB1), M1-like macrophages (Il1b and IL1B), M2-like macrophages (Mrc1 and MRC1), DCs (Itgax and ITGAX), and myeloid-derived suppressor cells (S100a8 and S100A8). Given the spectral nature of myeloid differentiation and polarization many of these markers will be present in multiple subsets.

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ISSN 2379-3708

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