Fig. 8: Effect of fluctuating decorin on dynamics of receptor binding and tumor growth. | npj Systems Biology and Applications

Fig. 8: Effect of fluctuating decorin on dynamics of receptor binding and tumor growth.

From: Asthma-mediated control of optic glioma growth via T cell-microglia interactions: A mathematical model

Fig. 8

Time courses of binding activities (B), NFκB and CCL5 (C) in response to fluctuating decorin stimulus (A): \(D(t)=100\cos (\pi t/120)+100\). D Time courses of the tumor cell populations in response to a fixed ([D] = 2 (blue dashes); [D] = 200 (black dots)) and fluctuating decorin level. Fluctuating decorin expression induces transitions between \({{\mathbb{P}}}_{{\rm{t}}}\)- and \({{\mathbb{P}}}_{{\rm{a}}}\)-phenotypes, leading to transient glioma growth over time (t1, t2, t3, t4). The decorin-dominant \({{\mathbb{P}}}_{{\rm{t}}}\)-regions were shaded in pink in (C, D). E The scaled \([\overline{D\cdot {R}_{2}}]\)-to-\([\overline{{L}_{4}\cdot {R}_{2}}]\) ratio (called RDe) and tumor size for three decorin conditions in (D). F Negative correlations between the tumor volume and RDe. Base parameter: \({K}_{{\rm{D}}}^{{\rm{DCN}}}=\frac{{b}_{3}^{-}}{{b}_{3}^{+}}\)=10 nM. Other parameters are given in Table 1. Initial conditions: [R2](0) = 50, \([\overline{{L}_{4}\cdot {R}_{1}}](0)=0\), \([\overline{{L}_{4}\cdot {R}_{2}}](0)=0\), \([\overline{D\cdot {R}_{2}}](0)=0\).

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