A role for microfluidic systems in precision medicine

Jose M Ayuso1,2,3, María Virumbrales-Muñoz2,3, Joshua M Lang3,4

  • 1Department of Dermatology, University of Wisconsin, Madison, WI, USA.

Insights

Functional microfluidic assays offer a more accurate way to predict cancer treatment response by analyzing patient cells. These advanced methods overcome limitations of traditional assays for better precision oncology outcomes.

Area of Science:

  • Oncology
  • Biomedical Engineering
  • Translational Medicine

Background:

  • Precision oncology aims to personalize cancer treatment based on molecular tumor profiles.
  • Current methods often rely on molecular alterations, but functional assays offer complementary predictive power.
  • Traditional functional assays using Petri dishes fail to capture tumor complexity, limiting their utility.

Purpose of the Study:

  • To review the application of microfluidic systems in precision medicine.
  • To discuss the current and future role of functional microfluidic assays in predicting cancer treatment efficacy.
  • To highlight microfluidic assays as a tool to enhance precision oncology.

Main Methods:

  • Review of existing literature on microfluidic systems in precision medicine.
  • Analysis of functional microfluidic assay designs and their application in cancer research.
  • Discussion of the advantages of microfluidic platforms over traditional cell-based assays.

Main Results:

  • Microfluidic systems have been applied in various aspects of precision medicine.
  • Functional microfluidic assays can better mimic the tumor microenvironment, providing more accurate treatment response predictions.
  • These assays address the limitations of conventional methods by incorporating tumor complexity.

Conclusions:

  • Functional microfluidic assays represent a promising advancement for precision oncology.
  • They offer a more accurate and reliable method for predicting patient-specific treatment responses.
  • The continued development of microfluidic technology will enhance their role as predictive biomarkers in cancer care.

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