Rodriguez-Brenes Ignacio A, Wodarz Dominik, Komarova Natalia L
Department of Mathematics, University of California, Irvine, CA 92651, USA; Department of Ecology and Evolution, University of California, Irvine, CA 92651, USA.
Department of Mathematics, University of California, Irvine, CA 92651, USA; Department of Ecology and Evolution, University of California, Irvine, CA 92651, USA.
Math Biosci. 2015 Dec;270(Pt A):135-41. doi: 10.1016/j.mbs.2015.08.009. Epub 2015 Sep 4.
Healthy human tissue is highly regulated to maintain homeostasis. Secreted negative feedback factors that inhibit stem cell division and stem cell self-renewal play a fundamental role in establishing this control. The appearance of abnormal cancerous growth requires an escape from these regulatory mechanisms. In a previous study we found that for non-solid tumors if feedback inhibition on stem cell self-renewal is lost, but the feedback on the division rate is still intact, then the tumor dynamics are characterized by a relatively slow sub-exponential growth that we called inhibited growth. Here we characterize the cell dynamics of inhibited cancer growth by modeling feedback inhibition using Hill equations. We find asymptotic approximations for the growth rates of the stem cell and differentiated cell populations in terms of the strength of the inhibitory signal: stem cells grow as a power law t(1/k+1),and the differentiated cells grow as t(1/k), where k is the Hill coefficient in the feedback law regulating cell divisions. It follows that as the tumor grows, undifferentiated cells take up an increasingly large fraction of the population. Implications of these results for specific cancers including CML are discussed. Understanding how the regulatory mechanisms that continue to operate in cancer affect the rate of disease progression can provide important insights relevant to chronic or other slow progressing types of cancer.
健康的人体组织受到高度调节以维持体内平衡。分泌的抑制干细胞分裂和自我更新的负反馈因子在建立这种控制中起着基本作用。异常癌性生长的出现需要逃脱这些调节机制。在先前的一项研究中,我们发现对于非实体瘤,如果对干细胞自我更新的反馈抑制丧失,但对分裂速率的反馈仍然完好,则肿瘤动力学的特征是相对缓慢的亚指数生长,我们称之为抑制性生长。在这里,我们通过使用希尔方程对反馈抑制进行建模来表征抑制性癌症生长的细胞动力学。我们根据抑制信号的强度找到了干细胞和分化细胞群体生长速率的渐近近似值:干细胞以幂律t(1/k + 1)生长,分化细胞以t(1/k)生长,其中k是调节细胞分裂的反馈定律中的希尔系数。由此可见,随着肿瘤的生长,未分化细胞在群体中所占的比例越来越大。讨论了这些结果对包括慢性粒细胞白血病在内的特定癌症的影响。了解在癌症中持续运作的调节机制如何影响疾病进展速度,可以为与慢性或其他进展缓慢型癌症相关的重要见解提供依据。