Microfluidic cell sorting by stiffness to examine heterogenic responses of cancer cells to chemotherapy

Muhymin Islam1, Roman Mezencev2,3, Brynn McFarland4

  • 1George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology, 801 Ferst Drive, Atlanta, GA, 30332-0405, USA.

Cell Death & Disease
|February 16, 2018
PubMed

Insights

This study introduces a microfluidic method to separate cancer cells by drug resistance, revealing new resistance mechanisms. This approach enhances chemotherapy effectiveness by targeting identified resistance pathways.

Area of Science:

  • Oncology
  • Biotechnology
  • Cell Biology

Background:

  • Cancer treatment faces challenges due to heterogeneous cell populations with varying drug responses.
  • Drug-resistant cancer cell sub-populations are scarce, hindering the study of resistance mechanisms.

Purpose of the Study:

  • To develop a label-free microfluidic technique for separating chemoresistant and chemosensitive cancer cells.
  • To identify molecular mechanisms underlying cancer drug resistance.
  • To validate the therapeutic potential of targeting identified resistance pathways.

Main Methods:

  • Utilized a label-free microfluidic device to sort cancer cells based on differential cellular stiffness.
  • Analyzed molecular distinctions between chemoresistant and chemosensitive cell sub-populations.
  • Investigated mechanisms including apoptosis sensitivity, metabolic activity, drug extrusion, and estrogen receptor involvement.

Main Results:

  • Successfully separated cancer cells into chemoresistant and chemosensitive populations.
  • Identified key drug resistance mechanisms: reduced apoptosis sensitivity, increased metabolism, drug extrusion, and estrogen receptor activity in leukemia.
  • Demonstrated a sevenfold increase in cytotoxicity by combining chemotherapy with inhibitors of identified resistance pathways.

Conclusions:

  • Microfluidic sorting is effective for isolating cancer cell sub-populations based on drug resistance.
  • This method facilitates the discovery of novel molecular mechanisms of drug resistance.
  • Targeting identified resistance pathways significantly enhances the efficacy of cancer therapies.

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