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内皮细胞和肿瘤细胞间串扰的细胞数学模型凸显了血管内皮生长因子靶向治疗的反直觉效应。

Mathematical Modeling of Cellular Cross-Talk Between Endothelial and Tumor Cells Highlights Counterintuitive Effects of VEGF-Targeted Therapies.

机构信息

Department of Mathematics, Florida State University, Tallahassee, FL, USA.

Department of Mathematics, University of Michigan, Ann Arbor, MI, 48109, USA.

出版信息

Bull Math Biol. 2018 May;80(5):971-1016. doi: 10.1007/s11538-017-0273-6. Epub 2017 Apr 24.

Abstract

Tumor growth and progression are critically dependent on the establishment of a vascular support system. This is often accomplished via the expression of pro-angiogenic growth factors, including members of the vascular endothelial growth factor (VEGF) family of ligands. VEGF ligands are overexpressed in a wide variety of solid tumors and therefore have inspired optimism that inhibition of the different axes of the VEGF pathway-alone or in combination-would represent powerful anti-angiogenic therapies for most cancer types. When considering treatments that target VEGF and its receptors, it is difficult to tease out the differential anti-angiogenic and anti-tumor effects of all combinations experimentally because tumor cells and vascular endothelial cells are engaged in a dynamic cross-talk that impacts key aspects of tumorigenesis, independent of angiogenesis. Here we develop a mathematical model that connects intracellular signaling responsible for both endothelial and tumor cell proliferation and death to population-level cancer growth and angiogenesis. We use this model to investigate the effect of bidirectional communication between endothelial cells and tumor cells on treatments targeting VEGF and its receptors both in vitro and in vivo. Our results underscore the fact that in vitro therapeutic outcomes do not always translate to the in vivo situation. For example, our model predicts that certain therapeutic combinations result in antagonism in vivo that is not observed in vitro. Mathematical modeling in this direction can shed light on the mechanisms behind experimental observations that manipulating VEGF and its receptors is successful in some cases but disappointing in others.

摘要

肿瘤的生长和进展严重依赖于血管支持系统的建立。这通常是通过表达促血管生成生长因子来实现的,包括血管内皮生长因子 (VEGF) 配体家族的成员。VEGF 配体在各种实体瘤中过度表达,因此人们乐观地认为,抑制 VEGF 通路的不同轴——单独或联合——将代表针对大多数癌症类型的强大抗血管生成疗法。在考虑针对 VEGF 及其受体的治疗方法时,由于肿瘤细胞和血管内皮细胞之间存在动态的交叉对话,这会影响肿瘤发生的关键方面,而不仅仅是血管生成,因此很难从实验中梳理出所有组合的不同抗血管生成和抗肿瘤作用。在这里,我们开发了一个数学模型,将负责内皮细胞和肿瘤细胞增殖和死亡的细胞内信号与肿瘤的群体水平生长和血管生成联系起来。我们使用该模型研究了内皮细胞和肿瘤细胞之间的双向通信对针对 VEGF 及其受体的治疗方法的影响,无论是在体外还是体内。我们的研究结果强调了一个事实,即体外治疗结果并不总是转化为体内情况。例如,我们的模型预测,某些治疗组合在体内会产生拮抗作用,而在体外则不会观察到。朝这个方向进行数学建模可以揭示实验观察背后的机制,即操纵 VEGF 及其受体在某些情况下是成功的,但在其他情况下则令人失望。

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