Quantitative heterogeneity and subgroup classification based on motility of breast cancer cells
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Type
ArticleAuthors
Xiong, LingLiu, Yanping
Liu, Ruchuan
Yuan, Wei
Wang, Gao
He, Yi
Shuai, Jianwei
Jiao, Yang
Zhang, Xixiang

Han, Weijing
Qu, Junle
Liu, Liyu
KAUST Department
Material Science and Engineering ProgramPhysical Science and Engineering (PSE) Division
Date
2019-09-27Online Publication Date
2019-09-27Print Publication Date
2019-09Embargo End Date
2020-08-14Permanent link to this record
http://hdl.handle.net/10754/660984
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Show full item recordAbstract
Cancer cell motility and its heterogeneity play an important role in metastasis, which is responsible for death of 90% of cancer patients. Here, in combination with a microfluidic technique, single-cell tracking, and systematic motility analysis, we present a rapid and quantitative approach to judge the motility heterogeneity of breast cancer cells MDA-MB-231 and MCF-7 in a well-defined three-dimensional (3D) microenvironment with controllable conditions. Following this approach, identification of highly mobile active cells in a medium with epithelial growth factor will provide a practical tool for cell invasion and metastasis investigation of multiple cancer cell types, including primary cells. Further, this approach could potentially become a speedy (∼hours) and efficient tool for basic and clinical diagnosis.Citation
Xiong, L., Liu, Y., Liu, R., Yuan, W., Wang, G., He, Y., … Liu, L. (2019). Quantitative heterogeneity and subgroup classification based on motility of breast cancer cells. Chinese Physics B, 28(10), 108701. doi:10.1088/1674-1056/ab3af4Sponsors
Project supported by the National Natural Science Foundation of China (Grant Nos. 11674043 and 11604030), the Fundamental Research Funds for the Central Universities, China (Grant No. 2018CDJDWL0011), the Fundamental and Advanced Research Program of Chongqing, China (Grant No. cstc2018jcyjAX0338), and Arizona State University Start-up Funds, USA.Publisher
IOP PublishingJournal
Chinese Physics BAdditional Links
https://iopscience.iop.org/article/10.1088/1674-1056/ab3af4ae974a485f413a2113503eed53cd6c53
10.1088/1674-1056/ab3af4