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Nanotopography as Artificial Microenvironment for Accurate Visualization of Metastasis Development via Simulation of ECM Dynamics.
Tai, Chun-San; Lan, Kuan-Chun; Wang, Erick; Chan, Fu-Erh; Hsieh, Ming-Ting; Huang, Ching-Wen; Weng, Shun-Long; Chen, Po-Chun; Chen, Wen Liang.
Afiliación
  • Tai CS; Department of Biological Science and Technology, College of Biological Science and Technology, National Chiao Tung University, Hsinchu, Taiwan.
  • Lan KC; Institute of Molecular Medicine and Bioengineering, National Chiao Tung University, Hsinchu, Taiwan.
  • Wang E; Department of Biological Science and Technology, College of Biological Science and Technology, National Chiao Tung University, Hsinchu, Taiwan.
  • Chan FE; Institute of Molecular Medicine and Bioengineering, National Chiao Tung University, Hsinchu, Taiwan.
  • Hsieh MT; Department of Biological Science and Technology, College of Biological Science and Technology, National Chiao Tung University, Hsinchu, Taiwan.
  • Huang CW; Department of Materials and Mineral Resources Engineering, National Taipei University of Technology, Taipei, Taiwan.
  • Weng SL; Department of Materials and Mineral Resources Engineering, National Taipei University of Technology, Taipei, Taiwan.
  • Chen PC; Department of Biological Science and Technology, College of Biological Science and Technology, National Chiao Tung University, Hsinchu, Taiwan.
  • Chen WL; Division of Thoracic Surgery, Department of Surgery, Shuang Ho Hospital, Taipei Medical University, New Taipei City, Taiwan.
Nano Lett ; 21(3): 1400-1411, 2021 02 10.
Article en En | MEDLINE | ID: mdl-33522822
ABSTRACT
Metastatic progression is mediated by complex interactions between deregulated extracellular matrix (ECM) and cancer cells and remains a major challenge in cancer management. To investigate the role of ECM dynamics in promoting metastasis development, we developed an artificial microenvironment (AME) platform comprised of nanodot arrays of increasing diameter. Cells cultured on the platform showed increasing signs of mesenchymal-like cell transition as AME diameter increased, suggesting accurate simulation of ECM-mediated gene regulation. Gene expression was analyzed to determine genes significant to transition, which were then used to select appropriate small molecule drugs for time course treatments. Our results suggest that the platform can identify critical target genes as well as possible drug candidates. Overall, the AME platform allows for the study of intricate ECM-induced gene expression trends across metastasis development that would otherwise be difficult to visualize in vivo and may open new avenues toward successful personalized cancer management.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Microambiente Tumoral / Neoplasias Límite: Humans Idioma: En Revista: Nano Lett Año: 2021 Tipo del documento: Article País de afiliación: Taiwán

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Microambiente Tumoral / Neoplasias Límite: Humans Idioma: En Revista: Nano Lett Año: 2021 Tipo del documento: Article País de afiliación: Taiwán