Atomic force microscopy for single cell analysis and mechanophenotyping of circulating tumor cells

Ayoub Glia, Muhammedin Deliorman, Mohammad A. Qasaimeh

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Circulating tumor cells (CTCs) are attracting increasing interest in medical sciences as they play a key role to understanding cancer metastasis. The possibility to phenotype CTCs based on their physiological nature, biological responses, and defense mechanisms could open new venues for precision diagnosis, personalized treatments, and preventative measures. In this work, we employed Atomic Force Microscopy (AFM) for mechanophenotyping clinical prostate CTCs based on their measured elastic and adhesive properties. We performed the AFM force measurements on different cancer cell lines, namely MCF7 cells (breast cancer), LNCaP and PC3 cells (prostate cancer), and compared the results with clinical CTCs isolated from blood of prostate cancer patients.

Original languageEnglish (US)
Title of host publicationProceedings of MARSS 2020
Subtitle of host publicationInternational Conference on Manipulation, Automation, and Robotics at Small Scales
EditorsSinan Haliyo, Mokrane Boudaoud, Albert Sill, Sergej Fatikow
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728193496
DOIs
StatePublished - Jul 13 2020
Event2020 International Conference on Manipulation, Automation, and Robotics at Small Scales, MARSS 2020 - Toronto, Canada
Duration: Jul 13 2020Jul 17 2020

Publication series

NameProceedings of MARSS 2020: International Conference on Manipulation, Automation, and Robotics at Small Scales

Conference

Conference2020 International Conference on Manipulation, Automation, and Robotics at Small Scales, MARSS 2020
CountryCanada
CityToronto
Period7/13/207/17/20

Keywords

  • AFM
  • CTCs
  • CellAdhesion
  • Diagnostics
  • Liquid Biopsy
  • Microfluidics
  • Phenotyping
  • Prostate
  • Viscoelasticity

ASJC Scopus subject areas

  • Fluid Flow and Transfer Processes
  • Artificial Intelligence
  • Mechanical Engineering
  • Control and Optimization

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