Microfluidic Arrays of Breast Tumor Spheroids for Drug Screening and Personalized Cancer Therapies

Elisabeth Prince1, Sina Kheiri2, Yihe Wang1

  • 1Department of Chemistry, University of Toronto, 80 St. George St, Toronto, Ontario, M5P 2Y2, Canada.

Insights

Developing advanced cancer models is crucial for effective therapies. This study introduces a microfluidic platform simulating tumor microenvironments to improve drug screening and personalized cancer treatment.

Area of Science:

  • Oncology
  • Biomedical Engineering
  • Microfluidics

Background:

  • Effective cancer therapies are hindered by a lack of preclinical models that accurately represent dynamic tumor microenvironments.
  • Interstitial flow significantly influences tumor response to chemotherapy, a factor often overlooked in conventional in vitro models.

Purpose of the Study:

  • To develop and validate a microfluidic platform for generating breast tumor spheroids under physiological flow conditions.
  • To enable time- and labor-efficient studies on drug dose and supply rate effects on breast tumor spheroid chemosensitivity.

Main Methods:

  • A microfluidic platform was engineered to create large arrays of breast tumor spheroids within a biomimetic hydrogel.
  • Spheroids were cultured under controlled, near-physiological interstitial flow conditions.
  • The platform was utilized to test drug efficacy using patient-derived cells from various breast cancer subtypes.

Main Results:

  • The platform successfully generated numerous breast tumor spheroids under biomimetic flow.
  • The study demonstrated the correlation between in vivo drug efficacy and the drug response observed in the on-chip spheroids.
  • The model showed efficiency in assessing the impact of drug dose and delivery rate on chemosensitivity.

Conclusions:

  • The developed microfluidic 'spheroids-on-a-chip' platform serves as a valuable in vitro preclinical model.
  • This platform supports the development of personalized cancer therapies by utilizing patient-derived cells.
  • It offers a robust system for the efficient screening of novel anticancer drugs.

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