Mahdipour-Shirayeh Ali, Kaveh Kamran, Kohandel Mohammad, Sivaloganathan Sivabal
Department of Applied Mathematics, University of Waterloo, Waterloo, Canada.
Program for Evolutionary Dynamics, Harvard University, Cambridge, United States of America.
PLoS One. 2017 Oct 30;12(10):e0187000. doi: 10.1371/journal.pone.0187000. eCollection 2017.
The unwelcome evolution of malignancy during cancer progression emerges through a selection process in a complex heterogeneous population structure. In the present work, we investigate evolutionary dynamics in a phenotypically heterogeneous population of stem cells (SCs) and their associated progenitors. The fate of a malignant mutation is determined not only by overall stem cell and non-stem cell growth rates but also differentiation and dedifferentiation rates. We investigate the effect of such a complex population structure on the evolution of malignant mutations. We derive exactly calculated results for the fixation probability of a mutant arising in each of the subpopulations. The exactly calculated results are in almost perfect agreement with the numerical simulations. Moreover, a condition for evolutionary advantage of a mutant cell versus the wild type population is given in the present study. We also show that microenvironment-induced plasticity in invading mutants leads to more aggressive mutants with higher fixation probability. Our model predicts that decreasing polarity between stem and non-stem cells' turnover would raise the survivability of non-plastic mutants; while it would suppress the development of malignancy for plastic mutants. The derived results are novel and general with potential applications in nature; we discuss our model in the context of colorectal/intestinal cancer (at the epithelium). However, the model clearly needs to be validated through appropriate experimental data. This novel mathematical framework can be applied more generally to a variety of problems concerning selection in heterogeneous populations, in other contexts such as population genetics, and ecology.
癌症进展过程中恶性肿瘤不受欢迎的演变是通过复杂异质群体结构中的选择过程出现的。在本研究中,我们研究了表型异质的干细胞(SCs)及其相关祖细胞群体中的进化动力学。恶性突变的命运不仅取决于干细胞和非干细胞的总体生长速率,还取决于分化和去分化速率。我们研究了这种复杂群体结构对恶性突变进化的影响。我们得出了每个亚群中出现的突变体固定概率的精确计算结果。精确计算结果与数值模拟几乎完全一致。此外,本研究给出了突变细胞相对于野生型群体具有进化优势的条件。我们还表明,侵袭性突变体中微环境诱导的可塑性会导致具有更高固定概率的更具侵袭性的突变体。我们的模型预测,干细胞和非干细胞更新之间极性的降低会提高非可塑性突变体的存活率;而这会抑制可塑性突变体的恶性发展。推导结果新颖且具有普遍性,在自然界具有潜在应用;我们在结直肠癌/肠道癌(上皮组织)的背景下讨论了我们的模型。然而,该模型显然需要通过适当的实验数据进行验证。这个新颖的数学框架可以更广泛地应用于各种关于异质群体中选择的问题,在其他背景下,如群体遗传学和生态学。