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Fig. 7 | BMC Cancer

Fig. 7

From: Prediction of anti-CD25 and 5-FU treatments efficacy for pancreatic cancer using a mathematical model

Fig. 7

In silico assessment of treatments in the fuzzy setting. The membership function of the average of dynamics of cancer cells (panel A of figs. 7. A, B, C, and D), NK cells (panel B of figs. 7. A, B, C, and D), CTLs (panel C of figs. 7. A, B, C, and D), MDSCs (panel D of figs. 7. A, B, C, and D), T helper (panel E of figs. 7. A, B, C, and D), Treg (panel F of figs. 7. A, B, C, and D), cytokine IL-2 (panel G of figs. 7. A, B, C, and D), IFN-γ (panel H of figs. 7. A, B, C, and D), and TGF-β (panel K of figs. 7. A, B, C, and D) in the time interval from the start of therapies to day 150 for injection of 5-FU (on days 1, 2, 3, and 4) and anti-CD25 (on days 3, 6, 10, 13, 17 and 20) in fig. 7A, the different timing of 5-FU injection (fig. 7B), and for different timing of anti-CD25 injection (fig. 7C), and different timings of the combination of 5-FU and anti-CD25 (fig. 7D), in the fuzzy setting of kinetic parameter a1 = (0.9, 1, 1.1) × 4.3992×102

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