Repository logo
Log in(current)
Repository logoMIT Open ScholarshipDSpace@MIT
  1. Home
  2. MIT Open Access Articles
  3. MIT Open Access Articles
  4. Human 3D vascularized organotypic microfluidic assays to study breast cancer cell extravasation

Human 3D vascularized organotypic microfluidic assays to study breast cancer cell extravasation

Thumbnail Image
Download
Name

Jeon-2015-Human 3D vacularized.pdf

Size

1.22 MB

Format

Adobe PDF

Checksum (MD5)

098a03a0cc4f2f9c3998c3e36d9b8fa3

Author(s)
Jeon, Jessie S.
•
Bersini, Simone
•
Gilardi, Mara
•
Dubini, Gabriele
•
Charest, Joseph L.
•
Moretti, Matteo
•
Kamm, Roger Dale
Date Issued
January 2015
Journal
Proceedings of the National Academy of Sciences
Publisher
National Academy of Sciences (U.S.)
Citation
Jeon, Jessie S., Simone Bersini, Mara Gilardi, Gabriele Dubini, Joseph L. Charest, Matteo Moretti, and Roger D. Kamm. “Human 3D Vascularized Organotypic Microfluidic Assays to Study Breast Cancer Cell Extravasation.” Proc Natl Acad Sci USA 112, no. 1 (December 18, 2014): 214–219.
Version
Final published version
Abstract
A key aspect of cancer metastases is the tendency for specific cancer cells to home to defined subsets of secondary organs. Despite these known tendencies, the underlying mechanisms remain poorly understood. Here we develop a microfluidic 3D in vitro model to analyze organ-specific human breast cancer cell extravasation into bone- and muscle-mimicking microenvironments through a microvascular network concentrically wrapped with mural cells. Extravasation rates and microvasculature permeabilities were significantly different in the bone-mimicking microenvironment compared with unconditioned or myoblast containing matrices. Blocking breast cancer cell A[subscript 3] adenosine receptors resulted in higher extravasation rates of cancer cells into the myoblast-containing matrices compared with untreated cells, suggesting a role for adenosine in reducing extravasation. These results demonstrate the efficacy of our model as a drug screening platform and a promising tool to investigate specific molecular pathways involved in cancer biology, with potential applications to personalized medicine.
MIT Department
Massachusetts Institute of Technology. Department of Biological Engineering
Massachusetts Institute of Technology. Department of Mechanical Engineering
Terms of Use
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
Persistent DSpace Link
http://hdl.handle.net/1721.1/98037
DOI of Published Version
https://doi.org/10.1073/pnas.1417115112
Repository logo
PrivacyPermissionsAccessibilityContact us
Repository logo
Notify us about copyright concerns.