Experimental models of endocrine responsive breast cancer: strengths, limitations, and use

Robert Clarke1, Brandon C Jones2, Catherine M Sevigny2,3

  • 1The Hormel Institute and Department of Biochemistry, Molecular Biology and Biophysics, University of Minnesota, Austin, MN 55912, USA.

Insights

Estrogen receptor-positive (ER+) breast cancer models are crucial for understanding endocrine therapy response and resistance. This review details available ER+ breast cancer models, their strengths, and limitations for research.

Area of Science:

  • Oncology
  • Molecular Biology
  • Endocrinology

Background:

  • Estrogen receptor-alpha (ER+) breast cancers are the most prevalent subtype, accounting for approximately 70% of new cases.
  • Despite their prevalence, adequate experimental models for ER+ breast cancer remain relatively limited.
  • Existing models have been instrumental in understanding cellular responses to endocrine therapies and ER's role in cell fate signaling.

Purpose of the Study:

  • To review and discuss the primary experimental models used for studying ER+ breast cancer.
  • To evaluate the general strengths and limitations of each model type.
  • To provide insights into optimizing the use of these models for future research.

Main Methods:

  • Discussion of 2D and 3D cell cultures of established cell lines.
  • Review of cell line- and patient-derived xenografts.
  • Consideration of chemically induced rodent models.

Main Results:

  • The available models, despite limitations, have significantly advanced the understanding of ER+ breast cancer.
  • These models facilitate the study of mechanisms underlying therapy action and resistance.
  • Models are essential for hypothesis testing that is difficult or unethical in human subjects.

Conclusions:

  • A comprehensive panel of experimental models is available for ER+ breast cancer research.
  • Understanding the strengths and limitations of each model is key to effective utilization.
  • These models remain indispensable for critical research in ER+ breast cancer treatment and resistance mechanisms.