NEIM-08 MODELING COMPETITION BETWEEN SUBPOPULATIONS WITH VARIABLE DNA CONTENT IN RESOURCE LIMITED MICROENVIRONMENTS

Abstract Resource limitations shape the outcome of competitions between heterogeneous pre-malignant cells. One example such heterogeneity is in ploidy (DNA content) High-ploidy cells need more resources, to synthesize increasing amounts DNA, RNA and proteins. To model how subpopulations with variable DNA-content compete resource limited environment human brain we developed a stochastic state-space (S3MB). The discretizes into voxels, whereby state each voxel defined by 8+ variables that are updated over time, including stiffness, glucose proliferating various DNA content. Well established Fokker-Planck partial differential equations govern spatial distribution resources We applied S3MB on sequencing imaging data obtained from primary GBM patient. sequenced four surgical specimens collected during 1st 2nd surgeries used HATCHET quantify its clonal composition it changes surgeries. identified two aneuploid 1.98 2.29 respectively. low-ploidy clone was dominant at time first surgery became even upon recurrence. MRI images were available before after registered MNI space. T1 post T2 flair scans acquired informed tumor cell densities per voxel. Magnetic Resonance Elastography PET/CT stiffness Glucose access performed parameter search recapitulate GBM’s density surgery. Results suggest high-ploidy subpopulation had higher Glucose-dependent proliferation rate, but lower death resulting differences subpopulations. Our results contribute better understanding genomics microenvironments interact fate decisions.