Microengineered 3D Tumor Models for Anti-Cancer Drug Discovery in Female-Related Cancers

Farbod Amirghasemi1, Emmanuela Adjei-Sowah1, Barbara A Pockaj2

  • 1School of Biological and Health Systems Engineering, Arizona State University, Tempe, AZ, 85287-9709, USA.

Insights

Developing novel 3D microengineered platforms offers a cost-effective and accurate alternative to animal models for anti-cancer drug discovery. These advanced tumor models accelerate the identification of new treatments, particularly for female-specific cancers.

Area of Science:

  • Oncology
  • Biomedical Engineering
  • Drug Discovery

Background:

  • Cancer presents a significant global health burden with high treatment costs.
  • Current preclinical models, often animal-based, have limitations in predicting human response and raise ethical concerns.
  • There is a critical need for innovative, cost-effective preclinical platforms to improve anti-cancer drug discovery, especially for female patients.

Purpose of the Study:

  • To review recent advancements in microengineered tumor models for anti-cancer drug discovery and screening.
  • To highlight the potential of these platforms in addressing challenges like chemoresistance and intratumor heterogeneity.
  • To focus on applications in female-related cancers and discuss improvements in survival rates due to sex disparities.

Main Methods:

  • Review of current literature on 3D microengineered platforms for cancer research.
  • Discussion of technologies including 3D tumor spheroids, microfluidic platforms, and bioprinted models.
  • Analysis of how these platforms address drug discovery challenges such as chemoresistance, heterogeneity, and toxicity.

Main Results:

  • Microengineered assays, particularly tumor-on-chip technology, show promise for physiologically relevant anti-cancer drug screening.
  • 3D microscale models offer insights into cancer complexities and drug resistance mechanisms efficiently.
  • These platforms can potentially replace conventional assays for high-throughput drug screening.

Conclusions:

  • Microengineered tumor models represent a significant advancement in preclinical anti-cancer drug discovery.
  • These platforms offer a more predictive, ethical, and cost-effective alternative to traditional methods.
  • Further development and application of these technologies are crucial for personalized cancer therapy and improved patient outcomes, especially in female-related cancers.