Gatenby R A
Fels Institute for Molecular Biology, Temple University Hospitial, Philadelphia, Pennsylvania 19140, USA.
Cancer Res. 1995 Sep 15;55(18):4151-6.
Increased glycolysis in transformed cell coupled with increased membrane Na+/H+ exchange produces significant environmental fluctuations in and around tumors, including enhanced local glucose consumption and based competition model that examines the effects of these environmental changes on tumor-host interaction. By generating a critical parameter (J) for each population at the tumor-host interface, the interactive dynamics can be predicted. Although necessarily limited by simplifying assumptions, the model demonstrates that the metabolic changes of transformation and their environmental consequences could confer significant advantages on tumor populations by decreasing their J value and, through the generation of glucose and pH gradients, increasing the J value of adjacent normal cells. Thus, the well-documented metabolic changes associated with transformation, including increased glycolysis, glucose utilization, and lactic acid production with reversal of the normal intracellular-extracellular pH gradient, phenomena now consistently demonstrated in human tumors in situ, provide a potential mechanism of tumor invasion that is simple, complete, and sufficiently general to apply to many classes of tumors. The model explicitly predicts that in situ measurement of tumor glucose utilization and H+ production will determine prognosis. Furthermore, it predicts therapies that chronically reduce tumor glucose utilization and/or H+ production or increase the buffering capacity in normal tissue will be effective in tumor prevention and tumor treatment.
转化细胞中糖酵解增加,再加上细胞膜上钠氢交换增加,会在肿瘤内部及其周围产生显著的环境波动,包括局部葡萄糖消耗增加。基于竞争模型研究了这些环境变化对肿瘤与宿主相互作用的影响。通过为肿瘤-宿主界面处的每个群体生成一个关键参数(J),可以预测相互作用的动态变化。尽管该模型必然受到简化假设的限制,但它表明转化的代谢变化及其环境后果可以通过降低肿瘤群体的J值,并通过产生葡萄糖和pH梯度来增加相邻正常细胞的J值,从而赋予肿瘤群体显著优势。因此,与转化相关的、有充分文献记载的代谢变化,包括糖酵解增加、葡萄糖利用增加、乳酸产生增加以及正常细胞内外pH梯度的逆转,这些现象现在在人类原位肿瘤中得到了一致证实,提供了一种简单、完整且足够通用的肿瘤侵袭潜在机制,适用于许多类型的肿瘤。该模型明确预测,原位测量肿瘤葡萄糖利用和氢离子产生将决定预后。此外,它预测长期降低肿瘤葡萄糖利用和/或氢离子产生或增加正常组织缓冲能力的治疗方法将在肿瘤预防和治疗中有效。