Centre for Medical Informatics, Usher Institute, The University of Edinburgh, Edinburgh EH16 4UX, United Kingdom;
Mathematical Institute, University of Oxford, Oxford OX2 6GG, United Kingdom.
Proc Natl Acad Sci U S A. 2020 Nov 10;117(45):27811-27819. doi: 10.1073/pnas.2007770117. Epub 2020 Oct 27.
Oxygen heterogeneity in solid tumors is recognized as a limiting factor for therapeutic efficacy. This heterogeneity arises from the abnormal vascular structure of the tumor, but the precise mechanisms linking abnormal structure and compromised oxygen transport are only partially understood. In this paper, we investigate the role that red blood cell (RBC) transport plays in establishing oxygen heterogeneity in tumor tissue. We focus on heterogeneity driven by network effects, which are challenging to observe experimentally due to the reduced fields of view typically considered. Motivated by our findings of abnormal vascular patterns linked to deviations from current RBC transport theory, we calculated average vessel lengths [Formula: see text] and diameters [Formula: see text] from tumor allografts of three cancer cell lines and observed a substantial reduction in the ratio [Formula: see text] compared to physiological conditions. Mathematical modeling reveals that small values of the ratio λ (i.e., [Formula: see text]) can bias hematocrit distribution in tumor vascular networks and drive heterogeneous oxygenation of tumor tissue. Finally, we show an increase in the value of λ in tumor vascular networks following treatment with the antiangiogenic cancer agent DC101. Based on our findings, we propose λ as an effective way of monitoring the efficacy of antiangiogenic agents and as a proxy measure of perfusion and oxygenation in tumor tissue undergoing antiangiogenic treatment.
肿瘤组织中的氧气异质性被认为是治疗效果的限制因素。这种异质性源于肿瘤异常的血管结构,但异常结构与氧气输送受损之间的确切联系机制仅部分被理解。在本文中,我们研究了红细胞(RBC)运输在肿瘤组织中氧气异质性形成中的作用。我们专注于由网络效应引起的异质性,由于通常考虑的视场较小,因此很难从实验上观察到这种异质性。受到与 RBC 运输理论偏差相关的异常血管模式的发现的启发,我们从三种癌细胞系的肿瘤同种异体中计算了平均血管长度[Formula: see text]和直径[Formula: see text],并观察到与生理条件相比,[Formula: see text]的比值显著降低。数学建模表明,比值 λ 的小值(即[Formula: see text])可以偏置肿瘤血管网络中的红细胞比容分布,并驱动肿瘤组织的不均匀氧合。最后,我们表明在使用抗血管生成癌症药物 DC101 治疗后,肿瘤血管网络中的 λ 值增加。基于我们的发现,我们提出 λ 作为监测抗血管生成药物疗效的有效方法,以及作为接受抗血管生成治疗的肿瘤组织灌注和氧合的代理指标。