Speakers
Description
Glioblastoma is the most common and deadliest primary brain tumour in adults, with a median survival of 15 months under the current standard of care [1]. Its tumour microenvironment has been shown to be highly heterogeneous [2], meaning the magnitude of cell-cell interactions differ across space due to spatial differences. Agent-based models (ABMs) are well-suited for describing this spatial cell heterogeneity. When initialized with synthetic data obtained from single-cell imaging modalities, like imaging mass cytometry data, ABMs can capture realistic intra-tumoral dynamics [3]. In this talk, we show how spatial relationships between immune and cancer cells shape tumour-immune dynamics and influence predictions of immunotherapy outcomes. To this end, we build a glioblastoma-immune system ABM and include in our new spatial model immunotherapies previously modeled with an ordinary differential equation (ODE) model [4]. Unlike ABMs, ODE models have a very low computational cost. However, they assume cell populations are well-mixed. Our work lays the foundations for combining ABMs and ODE models to leverage both the spatial realism of the former and the computational efficiency of the latter in describing the overall tumour progression.
References
[1] @article{Trager_Geskin_Saenger_2020, title={Oncolytic Viruses for the Treatment of Metastatic Melanoma}, volume={21}, ISSN={1527-2729, 1534-6277}, url={http://link.springer.com/10.1007/s11864-020-0718-2}, DOI={10.1007/s11864-020-0718-2}, number={4}, journal={Current Treatment Options in Oncology}, author={Trager, Megan H. and Geskin, Larisa J. and Saenger, Yvonne M.}, year={2020}, month=apr, pages={26}, language={en} }
[2] @article{Karimi_Yu_Maritan_Perus_Rezanejad_Sorin_Dankner_Fallah_Doré_Zuo_et al._2023, title={Single-cell spatial immune landscapes of primary and metastatic brain tumours}, volume={614}, ISSN={0028-0836, 1476-4687}, url={https://www.nature.com/articles/s41586-022-05680-3}, DOI={10.1038/s41586-022-05680-3}, number={7948}, journal={Nature}, author={Karimi, Elham and Yu, Miranda W. and Maritan, Sarah M. and Perus, Lucas J. M. and Rezanejad, Morteza and Sorin, Mark and Dankner, Matthew and Fallah, Parvaneh and Doré, Samuel and Zuo, Dongmei and Fiset, Benoit and Kloosterman, Daan J. and Ramsay, LeeAnn and Wei, Yuhong and Lam, Stephanie and Alsajjan, Roa and Watson, Ian R. and Roldan Urgoiti, Gloria and Park, Morag and Brandsma, Dieta and Senger, Donna L. and Chan, Jennifer A. and Akkari, Leila and Petrecca, Kevin and Guiot, Marie-Christine and Siegel, Peter M. and Quail, Daniela F. and Walsh, Logan A.}, year={2023}, month=feb, pages={555–563}, language={en} }
[3] @article{Mongeon_Hébert-Doutreloux_Surendran_Karimi_Fiset_Quail_Walsh_Jenner_Craig_2024, title={Spatial computational modelling illuminates the role of the tumour microenvironment for treating glioblastoma with immunotherapies}, volume={10}, ISSN={2056-7189}, url={https://www.nature.com/articles/s41540-024-00419-4}, DOI={10.1038/s41540-024-00419-4}, number={1}, journal={npj Systems Biology and Applications}, author={Mongeon, Blanche and Hébert-Doutreloux, Julien and Surendran, Anudeep and Karimi, Elham and Fiset, Benoit and Quail, Daniela F. and Walsh, Logan A. and Jenner, Adrianne L. and Craig, Morgan}, year={2024}, month=aug, pages={91}, language={en} }
[4] @article{Mongeon_Craig_2025, title={Virtual Clinical Trial Reveals Significant Clinical Potential of Targeting Tumor‐Associated Macrophages and Microglia to Treat Glioblastoma}, volume={14}, ISSN={2163-8306, 2163-8306}, url={https://ascpt.onlinelibrary.wiley.com/doi/10.1002/psp4.70033}, DOI={10.1002/psp4.70033}, number={7}, journal={CPT: Pharmacometrics & Systems Pharmacology}, author={Mongeon, Blanche and Craig, Morgan}, year={2025}, month=july, pages={1156–1167}, language={en} }
