Abstract A48: Computational modeling of vessel growth and blood flow in the tumor microvasculature

• Published in: Cancer research (Chicago, Ill.) Vol. 77; no. 2_Supplement; p. A48
• Main Authors: Lee, Tae-Rin, Yoo, Sung Sic, Jo, Junhong, Go, Anna, Seo, Hyung-Kwon
• Format: Journal Article
• Language: English
• Published: 15-01-2017
• ISSN: 0008-5472; 1538-7445
• DOI: 10.1158/1538-7445.EPSO16-A48

Abstract
Tumor-induced angiogenesis is important to understand the mechanism of tumor growth. However, due to its heterogeneous microenvironment, it is challenging to elucidate the correlation between tumor growth and angiogenesis. In this talk, we develop a computational model of tumor-induced angiogenesis with blood flow. The complex steps of angiogenesis are expressed by mathematical models from diffusion of growth factor, sprouting from existing vessels, vessel growth and anastomosis. Furthermore, the blood flow in the new vessels is simulated by using one dimensional flow model with hematocrit redistribution. First of all, the computational model will be validated by comparing with experimental data. In addition, the developed model will be tested in predicting tumor-induced angiogenesis with different model parameters. Finally, the future perspectives of computational modeling in tumor-induced angiogenesis will be fully discussed.
Note: This abstract was not presented at the conference.
Citation Format: Tae-Rin Lee, Sung Sic Yoo, Junhong Jo, Anna Go, Hyung-Kwon Seo. Computational modeling of vessel growth and blood flow in the tumor microvasculature. [abstract]. In: Proceedings of the AACR Special Conference on Engineering and Physical Sciences in Oncology; 2016 Jun 25-28; Boston, MA. Philadelphia (PA): AACR; Cancer Res 2017;77(2 Suppl):Abstract nr A48.