IMMU-66. PHYSIOLOGICALLY RELEVANT MURINE GLIOMA MODELS THAT REPRESENT GBM HETEROGENEITY AND ENABLE THE NEXT GENERATION OF DISCOVERY AND THERAPY EFFICACY STUDIES

Abstract To transform cancer drug development pipelines and gain a deeper mechanistic understanding of cancer: immune interactions, we desperately need better experimental models that faithfully recapitulate the cellular heterogeneity, complex and dynamic cell:cell interactions, and therapy responses in humans. To address this need, we developed and characterized a cohort of five new mouse glioma models in the C57BL6/j background. These transplantable tumorsphere models were derived from spontaneous gliomas that formed in genetically engineered mouse models with different oncogenic drivers, including EGFRviii, PDGFA, PTEN, p53, and NF1 mutations. They show a range of responses to standard of care (TMZ+IR) similar to GBM patients and all are resistant, to immune checkpoint inhibitors, anti-PD1+CTLA4, treatment, unlike the GL261 model and similar to GBM patients. We deeply characterized each model, including immune phenotyping and single-cell RNA-sequencing analyses. We also performed a cross-species comparison of human and mouse GBM and stromal cell phenotypes at the single-cell level. Our results show that new mouse models recapitulate the heterogeneity of glioma cell states observed in individual patients and, importantly, also the complex and immune suppressive TME. We demonstrate at the single-cell level that glioma-associated T and myeloid cell types are molecularly similar and conserved across species. Leveraging these data sets and experimental models, we are testing now novel immunotherapy targets for GBM.

Authors

Institutions

Publication Details

Journal
Neuro-Oncology
Published
2024-11-01
DOI
https://doi.org/10.1093/neuonc/noae165.0658
Primary Topic
Glioma Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

IMMU-66. PHYSIOLOGICALLY RELEVANT MURINE GLIOMA MODELS THAT REPRESENT GBM HETEROGENEITY AND ENABLE THE NEXT GENERATION OF DISCOVERY AND THERAPY EFFICACY STUDIES

Nourhan Abdelfattah, Kyuson Yun, Caiyi Wang, Han Nhat Tran et al.
Neuro-Oncology
Glioma Diagnosis and Treatment
article

IMMU-66. PHYSIOLOGICALLY RELEVANT MURINE GLIOMA MODELS THAT REPRESENT GBM HETEROGENEITY AND ENABLE THE NEXT GENERATION OF DISCOVERY AND THERAPY EFFICACY STUDIES

Nourhan Abdelfattah, Kyuson Yun, Caiyi Wang, Han Nhat Tran, Jia-Shiun Leu, José Manuel Santos De Varge Maldonado
article en

Abstract

Abstract To transform cancer drug development pipelines and gain a deeper mechanistic understanding of cancer: immune interactions, we desperately need better experimental models that faithfully recapitulate the cellular heterogeneity, complex and dynamic cell:cell interactions, and therapy responses in humans. To address this need, we developed and characterized a cohort of five new mouse glioma models in the C57BL6/j background. These transplantable tumorsphere models were derived from spontaneous gliomas that formed in genetically engineered mouse models with different oncogenic drivers, including EGFRviii, PDGFA, PTEN, p53, and NF1 mutations. They show a range of responses to standard of care (TMZ+IR) similar to GBM patients and all are resistant, to immune checkpoint inhibitors, anti-PD1+CTLA4, treatment, unlike the GL261 model and similar to GBM patients. We deeply characterized each model, including immune phenotyping and single-cell RNA-sequencing analyses. We also performed a cross-species comparison of human and mouse GBM and stromal cell phenotypes at the single-cell level. Our results show that new mouse models recapitulate the heterogeneity of glioma cell states observed in individual patients and, importantly, also the complex and immune suppressive TME. We demonstrate at the single-cell level that glioma-associated T and myeloid cell types are molecularly similar and conserved across species. Leveraging these data sets and experimental models, we are testing now novel immunotherapy targets for GBM.

Neuro-OncologyVol. 26(Supplement_8)
Houston Methodist (US), Cornell University (US)
Good health and well-being
Openalex Percentile: Top 64%
Glioma Diagnosis and Treatment
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.