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An Integrated Computational/Experimental Model of Lymphoma Growth

Figure 8

Vasculature and angiogenesis in the lymph node tumor.

Observations in living mice using intravital microscopy (A, B, C: red – functional blood vessels; shown for Eμ-myc p53-/- tumor) provide information to qualitatively compare the vessel formation (D, E, F: red – highest flow; white – lowest; dots indicate vessel points of origin from pre-existing vasculature (not shown)) in the computational model (calibrated from other data, see Text S1). The modeling of diffusion of cell substrates (e.g., oxygen and cell nutrients) within the tumor enables prediction of the spatial distribution of lymphoma cells (inset, shown for one vessel cross-section; brown: highest concentration of cells; white: lowest concentration of cells) as their viability is modulated by access to the oxygen and nutrients diffusing from the vasculature into the surrounding tissue (Eq. 2).

Figure 8

doi: https://doi.org/10.1371/journal.pcbi.1003008.g008