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Assessing metastatic potential of breast cancer cells based on EGFR dynamics.
Liu, Yen-Liang; Chou, Chao-Kai; Kim, Mirae; Vasisht, Rohan; Kuo, Yu-An; Ang, Phyllis; Liu, Cong; Perillo, Evan P; Chen, Yu-An; Blocher, Katherine; Horng, Hannah; Chen, Yuan-I; Nguyen, Duc Trung; Yankeelov, Thomas E; Hung, Mien-Chie; Dunn, Andrew K; Yeh, Hsin-Chih.
Afiliação
  • Liu YL; Department of Biomedical Engineering, The University of Texas at Austin, Austin, TX, USA.
  • Chou CK; Department of Molecular and Cellular Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
  • Kim M; Department of Biomedical Engineering, The University of Texas at Austin, Austin, TX, USA.
  • Vasisht R; Department of Biomedical Engineering, The University of Texas at Austin, Austin, TX, USA.
  • Kuo YA; Department of Biomedical Engineering, The University of Texas at Austin, Austin, TX, USA.
  • Ang P; Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX, USA.
  • Liu C; Department of Biomedical Engineering, The University of Texas at Austin, Austin, TX, USA.
  • Perillo EP; Department of Biomedical Engineering, The University of Texas at Austin, Austin, TX, USA.
  • Chen YA; Department of Biomedical Engineering, The University of Texas at Austin, Austin, TX, USA.
  • Blocher K; Department of Biomedical Engineering, The University of Texas at Austin, Austin, TX, USA.
  • Horng H; Department of Bioengineering, The University of Maryland, College Park, MD, USA.
  • Chen YI; Department of Biomedical Engineering, The University of Texas at Austin, Austin, TX, USA.
  • Nguyen DT; Department of Biomedical Engineering, The University of Texas at Austin, Austin, TX, USA.
  • Yankeelov TE; Department of Biomedical Engineering, The University of Texas at Austin, Austin, TX, USA.
  • Hung MC; Institute for Computational Engineering and Sciences, The University of Texas, Austin, TX, USA.
  • Dunn AK; Department of Diagnostic Medicine, Dell Medical School, The University of Texas at Austin, Austin, TX, USA.
  • Yeh HC; Department of Oncology, Dell Medical School, The University of Texas at Austin, Austin, TX, USA.
Sci Rep ; 9(1): 3395, 2019 03 04.
Article em En | MEDLINE | ID: mdl-30833579
ABSTRACT
Derailed transmembrane receptor trafficking could be a hallmark of tumorigenesis and increased tumor invasiveness, but receptor dynamics have not been used to differentiate metastatic cancer cells from less invasive ones. Using single-particle tracking techniques, we  developed a phenotyping asssay named Transmembrane Receptor Dynamics (TReD), studied the dynamics of epidermal growth factor receptor (EGFR) in seven breast epithelial cell lines and developed a phenotyping assay named Transmembrane Receptor Dynamics (TReD). Here we show a clear evidence that increased EGFR diffusivity and enlarged EGFR confinement size in the plasma membrane (PM) are correlated with the enhanced metastatic potential in these cell lines. By comparing the TReD results with the gene expression profiles, we found a clear negative correlation between the EGFR diffusivities and the breast cancer luminal differentiation scores (r = -0.75). Upon the induction of epithelial-mesenchymal transition (EMT), EGFR diffusivity significantly increased for the non-tumorigenic MCF10A (99%) and the non-invasive MCF7 (56%) cells, but not for the highly metastatic MDA-MB-231 cell. We believe that the reorganization of actin filaments during EMT modified the PM structures, causing the receptor dynamics to change. TReD can thus serve as a new biophysical marker to probe the metastatic potential of cancer cells and even to monitor the transition of metastasis.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias da Mama / Receptores ErbB Limite: Female / Humans Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias da Mama / Receptores ErbB Limite: Female / Humans Idioma: En Ano de publicação: 2019 Tipo de documento: Article