Cancer-Associated Fibroblasts Differentiated by Exosomes Isolated from Cancer Cells Promote Cancer Cell Invasionopen access
- Authors
- Kim, Kimin; Sohn, Yeh Joo; Lee, Ruri; Yoo, Hye Ju; Kang, Ji Yoon; Choi, Nakwon; Na, Dokyun; Yeon, Ju Hun
- Issue Date
- Nov-2020
- Publisher
- MDPI
- Keywords
- cancer-associated fibroblasts; cancer cell-derived exosomes; invasive cancer cells; cancer cell invasion; 3D microfluidics
- Citation
- INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, v.21, no.21, pp 1 - 18
- Pages
- 18
- Journal Title
- INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
- Volume
- 21
- Number
- 21
- Start Page
- 1
- End Page
- 18
- URI
- https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/43766
- DOI
- 10.3390/ijms21218153
- ISSN
- 1661-6596
1422-0067
- Abstract
- Cancer-associated fibroblasts (CAFs) in the cancer microenvironment play an essential role in metastasis. Differentiation of endothelial cells into CAFs is induced by cancer cell-derived exosomes secreted from cancer cells that transfer molecular signals to surrounding cells. Differentiated CAFs facilitate migration of cancer cells to different regions through promoting extracellular matrix (ECM) modifications. However, in vitro models in which endothelial cells exposed to cancer cell-derived exosomes secreted from various cancer cell types differentiate into CAFs or a microenvironmentally controlled model for investigating cancer cell invasion by CAFs have not yet been studied. In this study, we propose a three-dimensional in vitro cancer cell invasion model for real-time monitoring of the process of forming a cancer invasion site through CAFs induced by exosomes isolated from three types of cancer cell lines. The invasiveness of cancer cells with CAFs induced by cancer cell-derived exosomes (eCAFs) was significantly higher than that of CAFs induced by cancer cells (cCAFs) through physiological and genetic manner. In addition, different genetic tendencies of the invasion process were observed in the process of invading cancer cells according to CAFs. Our 3D microfluidic platform helps to identify specific interactions among multiple factors within the cancer microenvironment and provides a model for cancer drug development.
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