JS07.6.A AGE-APPROPRIATE MODELS OF PAEDIATRIC BRAIN TUMOURS REVEAL THE INFLUENCE OF AGE ON TUMOUR-IMMUNE INTERACTION.

Abstract BACKGROUND The developing immune system of a child is distinct to that of an adult. These differences in the immune system are often ignored in preclinical paediatric cancer research, where adult mice are more commonly used, overlooking potential developmental influences on cancer-microenvironment interactions. These influences are of particular importance when testing immunotherapeutic agents for paediatric cancers. MATERIAL AND METHODS Here, we sought to understand the impact of age on brain tumour progression and tumour-immune interactions. To address this, we have developed paediatric brain cancer mouse models which reflect the developing microenvironment in which these tumours arise. Using spectral flow cytometry, RNA sequencing, and immunohistochemistry, we have characterised differences in the tumour-immune microenvironment of multiple orthotopically-implanted murine brain tumour models in juvenile mice compared to adults. RESULTS We found that identical brain tumour cells elicited tumours that grew faster in juvenile mice and had reduced immune cell infiltration compared to adults. Moreover, immune infiltrates were markedly distinct between juvenile and adult mice. Specifically, juvenile mice possessed more naïve-like CD8 T cells and reduced effector, resident, and exhausted-like CD8 T cells. Tumour-associated macrophages in juvenile mice had reduced MHC II expression and appeared polarized towards an anti-inflammatory state, potentially suppressing effective anti-tumour immune responses. Importantly, we demonstrate that repolarisation of macrophages using immune-modulating agents changed the paediatric tumour-infiltrating immune microenvironment towards a more “adult-like state”, that may enhance immunotherapy effectiveness. CONCLUSION Our findings highlight the significant influence of preclinical model age on cancer-microenvironment interactions. Acknowledging the challenge in finding an appropriate match for human development in mice, these data strongly support the use of age-relevant models in preclinical paediatric cancer studies, especially when evaluating agents which target the microenvironment.

Authors

Institutions

Publication Details

Journal
Neuro-Oncology
Published
2025-10-01
DOI
https://doi.org/10.1093/neuonc/noaf193.014
Primary Topic
Cancer Immunotherapy and Biomarkers
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

JS07.6.A AGE-APPROPRIATE MODELS OF PAEDIATRIC BRAIN TUMOURS REVEAL THE INFLUENCE OF AGE ON TUMOUR-IMMUNE INTERACTION.

Raelene Endersby, Rishi S. Kotecha, W. Joost Lesterhuis, Laurence C. Cheung et al.
Neuro-Oncology
Cancer Immunotherapy and Biomarkers
article

JS07.6.A AGE-APPROPRIATE MODELS OF PAEDIATRIC BRAIN TUMOURS REVEAL THE INFLUENCE OF AGE ON TUMOUR-IMMUNE INTERACTION.

Raelene Endersby, Rishi S. Kotecha, W. Joost Lesterhuis, Laurence C. Cheung, Nicholas G. Gottardo, Terrance G. Johns, Hilary Hii, Anne McDonnell, John K. Kuster, A. RENDLE SHORT, Merridee A. Wouters, Misty R. Jenkins, Zahra Abbas, Meegan Howlett, Timothy N. Phoenix, Nada Jabado, Jens Truong, Irudayam Maria Johnson, Timo Lassmann, Aziza Nassar, Omar Elaskalani, Sébastien Malinge, Hannah Smolders, C L Kleinmann
article en

Abstract

Abstract BACKGROUND The developing immune system of a child is distinct to that of an adult. These differences in the immune system are often ignored in preclinical paediatric cancer research, where adult mice are more commonly used, overlooking potential developmental influences on cancer-microenvironment interactions. These influences are of particular importance when testing immunotherapeutic agents for paediatric cancers. MATERIAL AND METHODS Here, we sought to understand the impact of age on brain tumour progression and tumour-immune interactions. To address this, we have developed paediatric brain cancer mouse models which reflect the developing microenvironment in which these tumours arise. Using spectral flow cytometry, RNA sequencing, and immunohistochemistry, we have characterised differences in the tumour-immune microenvironment of multiple orthotopically-implanted murine brain tumour models in juvenile mice compared to adults. RESULTS We found that identical brain tumour cells elicited tumours that grew faster in juvenile mice and had reduced immune cell infiltration compared to adults. Moreover, immune infiltrates were markedly distinct between juvenile and adult mice. Specifically, juvenile mice possessed more naïve-like CD8 T cells and reduced effector, resident, and exhausted-like CD8 T cells. Tumour-associated macrophages in juvenile mice had reduced MHC II expression and appeared polarized towards an anti-inflammatory state, potentially suppressing effective anti-tumour immune responses. Importantly, we demonstrate that repolarisation of macrophages using immune-modulating agents changed the paediatric tumour-infiltrating immune microenvironment towards a more “adult-like state”, that may enhance immunotherapy effectiveness. CONCLUSION Our findings highlight the significant influence of preclinical model age on cancer-microenvironment interactions. Acknowledging the challenge in finding an appropriate match for human development in mice, these data strongly support the use of age-relevant models in preclinical paediatric cancer studies, especially when evaluating agents which target the microenvironment.

Neuro-OncologyVol. 27(Supplement_3)
The Kids Research Institute Australia (AU), Walter and Eliza Hall Institute of Medical Research (AU), Curtin University (AU), Princess Margaret Hospital for Children (AU), Jewish General Hospital (CA), McGill Genome Centre (CA), McGill University (CA), University of Cincinnati (US), University of Cincinnati Medical Center (US)
Openalex Percentile: Top 62%
Cancer Immunotherapy and Biomarkers
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.