Department of Integrated Mathematical Oncology, Moffitt Cancer Center and Research Institute, SRB4, 12902 Magnolia Drive, Tampa, FL, 33612, USA.
Department of Medical Engineering, College of Engineering, University of South Florida, Tampa, FL, USA.
Sci Rep. 2021 Mar 11;11(1):5777. doi: 10.1038/s41598-021-85184-8.
Tumors experience temporal and spatial fluctuations in oxygenation. Hypoxia inducible transcription factors (HIF-α) respond to low levels of oxygen and induce re-supply oxygen. HIF-α stabilization is typically facultative, induced by hypoxia and reduced by normoxia. In some cancers, HIF-α stabilization becomes constitutive under normoxia. We develop a mathematical model that predicts how fluctuating oxygenation affects HIF-α stabilization and impacts net cell proliferation by balancing the base growth rate, the proliferative cost of HIF-α expression, and the mortality from not expressing HIF-α during hypoxia. We compare optimal net cell proliferation rate between facultative and constitutive HIF-α regulation in environments with different oxygen profiles. We find that that facultative HIF-α regulation promotes greater net cell proliferation than constitutive regulation with stochastic or slow periodicity in oxygenation. However, cell fitness is nearly identical for both HIF-α regulation strategies under rapid periodic oxygenation fluctuations. The model thus indicates that cells constitutively expressing HIF-α may be at a selective advantage when the cost of expression is low. In cancer, this condition is known as pseudohypoxia or the "Warburg Effect". We conclude that rapid and regular cycling of oxygenation levels selects for pseudohypoxia, and that this is consistent with the ecological theory of optimal defense.
肿瘤经历着氧合作用的时空波动。缺氧诱导转录因子 (HIF-α) 对低氧水平作出反应,并诱导氧气重新供应。HIF-α 的稳定通常是兼性的,由缺氧诱导,由正常氧合还原。在一些癌症中,HIF-α 在正常氧合下变得稳定。我们开发了一个数学模型,该模型通过平衡基础生长率、HIF-α 表达的增殖成本以及在缺氧期间不表达 HIF-α 的死亡率,预测氧合作用的波动如何影响 HIF-α 的稳定,并通过平衡基础生长率、HIF-α 表达的增殖成本以及在缺氧期间不表达 HIF-α 的死亡率,来预测其对净细胞增殖的影响。我们比较了在不同氧合作用谱环境中, facultative 和 constitutive HIF-α 调节的最优净细胞增殖率。我们发现,在氧合作用具有随机或缓慢周期性的情况下, facultative HIF-α 调节比 constitutive 调节更能促进净细胞增殖。然而,在快速周期性氧波动下,两种 HIF-α 调节策略的细胞适应性几乎相同。因此,该模型表明,当表达成本较低时,持续表达 HIF-α 的细胞可能具有选择性优势。在癌症中,这种情况被称为伪缺氧或“Warburg 效应”。我们得出结论,氧合作用水平的快速和规律循环选择了伪缺氧,这与最优防御的生态理论是一致的。