Department of Chemical Engineering and Materials Science, University of California, Irvine, USA.
J Theor Biol. 2012 Jul 7;304:39-59. doi: 10.1016/j.jtbi.2012.02.030. Epub 2012 Mar 31.
We develop a multispecies continuum model to simulate the spatiotemporal dynamics of cell lineages in solid tumors. The model accounts for protein signaling factors produced by cells in lineages, and nutrients supplied by the microenvironment. Together, these regulate the rates of proliferation, self-renewal and differentiation of cells within the lineages, and control cell population sizes and distributions. Terminally differentiated cells release proteins (e.g., from the TGFβ superfamily) that feedback upon less differentiated cells in the lineage both to promote differentiation and decrease rates of proliferation (and self-renewal). Stem cells release a short-range factor that promotes self-renewal (e.g., representative of Wnt signaling factors), as well as a long-range inhibitor of this factor (e.g., representative of Wnt inhibitors such as Dkk and SFRPs). We find that the progression of the tumors and their response to treatment is controlled by the spatiotemporal dynamics of the signaling processes. The model predicts the development of spatiotemporal heterogeneous distributions of the feedback factors (Wnt, Dkk and TGFβ) and tumor cell populations with clusters of stem cells appearing at the tumor boundary, consistent with recent experiments. The nonlinear coupling between the heterogeneous expressions of growth factors and the heterogeneous distributions of cell populations at different lineage stages tends to create asymmetry in tumor shape that may sufficiently alter otherwise homeostatic feedback so as to favor escape from growth control. This occurs in a setting of invasive fingering, and enhanced aggressiveness after standard therapeutic interventions. We find, however, that combination therapy involving differentiation promoters and radiotherapy is very effective in eradicating such a tumor.
我们开发了一个多物种连续统模型来模拟实体瘤中细胞谱系的时空动力学。该模型考虑了细胞谱系中产生的蛋白质信号因子和微环境供应的营养物质。这些因素共同调节细胞谱系中细胞的增殖、自我更新和分化率,并控制细胞群体的大小和分布。终末分化的细胞释放蛋白质(例如 TGFβ 超家族),这些蛋白质会反馈到谱系中的较不成熟细胞,促进分化并降低增殖(和自我更新)率。干细胞释放一种短程因子来促进自我更新(例如代表 Wnt 信号因子),以及该因子的长程抑制剂(例如代表 Wnt 抑制剂如 Dkk 和 SFRPs)。我们发现肿瘤的进展及其对治疗的反应受信号过程的时空动态控制。该模型预测了反馈因子(Wnt、Dkk 和 TGFβ)和肿瘤细胞群体的时空异质分布的发展,在肿瘤边界出现干细胞簇,与最近的实验结果一致。生长因子的异质表达与不同谱系阶段的细胞群体的异质分布之间的非线性耦合往往会导致肿瘤形状的不对称性,这可能足以改变原本的自稳反馈,从而有利于逃避生长控制。这种情况发生在浸润性指状生长和标准治疗干预后侵袭性增强的情况下。然而,我们发现,涉及分化促进剂和放射疗法的联合治疗非常有效地根除了这种肿瘤。