Recent advances in microfluidic chip technologies for applications as preclinical testing devices for the diagnosis

Thirunavukkarasu Palaniyandi1, Maddaly Ravi2, Asha Sivaji3

  • 1Department of Biotechnology, Dr. M.G.R. Educational and Research Institute, Chennai, Tamil Nadu 600095, India; ACS-Advanced Medical Research Institute, Dr. M.G.R Educational and Research Institute, Maduravoyal, Chennai 600095, India.

PubMed

Insights

Triple-negative breast cancer (TNBC) is aggressive and lacks targeted therapies. This review explores microfluidic tumor-on-a-chip models for efficient drug screening and personalized treatment development in TNBC.

Area of Science:

  • Oncology
  • Biotechnology
  • Materials Science

Background:

  • Triple-negative breast cancer (TNBC) is the most lethal breast cancer subtype due to the lack of targeted therapies.
  • Current 3D tumor models face challenges in obtaining sufficient high-quality cells from clinical samples.
  • There is a critical need for efficient methods to generate homogeneous tumor models for personalized treatment.

Purpose of the Study:

  • To review the application of tumor-on-a-chip technology for triple-negative breast cancer (TNBC) research.
  • To highlight microfluidic chip manufacturing for creating advanced preclinical models.
  • To discuss drug screening and treatment strategies for TNBC using these models.

Main Methods:

  • Review of microfluidic technologies for generating 3D tumor models.
  • Analysis of tumor-on-a-chip platforms for drug discovery in TNBC.
  • Focus on cancer biomarker diagnostics and preclinical model development.

Main Results:

  • Microfluidic systems offer precise control over particle size and composition for drug delivery.
  • Tumor-on-a-chip models provide a more accurate in vivo representation compared to 2D models.
  • These advanced models facilitate efficient drug screening and personalized treatment strategies.

Conclusions:

  • Microfluidic tumor-on-a-chip technology presents a promising avenue for advancing TNBC research and treatment.
  • This approach addresses limitations of traditional models, enabling rapid generation of homogeneous tumor models.
  • Further development in this area is crucial for improving outcomes for TNBC patients.

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