Spatial cumulant models enable spatially informed treatment strategies and analysis of local interactions in cancer systems

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SUMMARY

    Such cell-cell interactions have been identified as factors that drive eco-evolutionary dynamics of cancer cell populations (Merlo et_al 2006; Reynolds et_al 2020). In IBMs, cells can be modelled as individuals that evolve on a spatial domain and partake in interactions with other cells in their neighbourhood (Metzcar et_al 2019; Chamseddine and Rejniak 2020). IBMs are naturally able to incorporate local cell-cell interactions, spatial population structures and stochastic variations between cells and biological events. MFPMs can not faithfully capture the dynamics of spatially structured systems with localised cell-cell interactions, such as . . .

     

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