Chemotaxis model for breast cancer cells based on signal-to-noise ratio = 신호 대비 잡음 비를 이용한 유방암세포의 화학주성 모델

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Chemotaxis, a biased migration of cells under a chemical gradient, plays a significant role in diverse biological phenomena including cancer metastasis. Stromal cells release signaling proteins to induce chemotaxis, which leads to organ-specific metastasis. Epidermal growth factor (EGF) is an example of the chemical attractants, and its gradient stimulates metastasis of breast cancer cells. Hence, the interactions between EGF and breast cancer cells have long been a subject of interest for oncologists and clinicians. However, most current approaches do not systematically separate the effects of gradient and absolute concentration of EGF on chemotaxis of breast cancer cells. In this work, we develop a theoretical model based on signal-to-noise ratio to represent stochastic properties and report our microfluidic experiments to verify the analytical predictions from the model. The results demonstrate that even under the same EGF concentration gradients (0 – 50 ng/ml or 0 – 150 ng/ml), breast cancer cells reveal more evident chemotaxis pattern when the absolute EGF concentrations are low. Moreover, we found that reducing the number of EGF receptors (EGFRs) with addition of EGFR antibody (1 ng/ml) can promote chemotaxis at an EGF gradient of 0 – 1 ng/ml as shown by chemotaxis index (0.121 ± 0.037, reduced EGFRs vs. 0.003 ± 0.041, control). This counterintuitive finding suggests that EGFR-targeted therapy may stimulate metastasis of breast cancer as the partial suppression of the receptors makes the number of receptors close to the optimal one for chemotaxis. This analysis should be considered in anticancer drug design.
Advisors
Jeon, Jessie Sungyunresearcher전성윤researcher
Description
한국과학기술원 :기계공학과,
Publisher
한국과학기술원
Issue Date
2019
Identifier
325007
Language
eng
Description

학위논문(석사) - 한국과학기술원 : 기계공학과, 2019.2,[1책 :]

Keywords

Chemotaxis▼abreast cancer cell▼amicrofluidics; 화학주성▼a유방암세포▼a미세유체

URI
http://hdl.handle.net/10203/265941
Link
http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=843074&flag=dissertation
Appears in Collection
ME-Theses_Master(석사논문)
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