Quantitative heterogeneity and subgroup classification based on motility of breast cancer cells

Ling Xiong, Yanping Liu, Ruchuan Liu, Wei Yuan, Gao Wang, Yi He, Jianwei Shuai, Yang Jiao, Xixiang Zhang, Weijing Han, Junle Qu, Liyu Liu

Research output: Contribution to journalArticlepeer-review

Abstract

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.

Original languageEnglish (US)
Article number108701
JournalChinese Physics B
Volume28
Issue number10
DOIs
StatePublished - 2019

Keywords

  • cancer metastasis
  • invasion potential
  • motility heterogeneity
  • three-dimensional microenvironment

ASJC Scopus subject areas

  • Physics and Astronomy(all)

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