Leveraging preclinical models of metastatic breast cancer

Diego A Pedroza1, Yang Gao1, Xiang H-F Zhang1

  • 1Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX, United States of America; Lester and Sue Smith Breast Center, Baylor College of Medicine, Houston, TX, United States of America; Dan L. Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX, United States of America.

Insights

Preclinical models for established breast cancer metastasis are limited, hindering new treatment development. This review examines current models and challenges, including tumor heterogeneity and immune microenvironment differences, impacting treatment efficacy.

Area of Science:

  • Oncology
  • Translational Research
  • Cancer Metastasis

Background:

  • Established breast cancer metastasis presents limited therapeutic options.
  • Preclinical research predominantly focuses on primary tumors, not established metastatic disease.

Purpose of the Study:

  • To review current preclinical models for macro-metastatic breast cancer.
  • To identify challenges and limitations within these models.
  • To discuss implications for developing effective metastatic breast cancer treatments.

Main Methods:

  • Review of existing literature on preclinical macro-metastatic breast cancer models.
  • Analysis of syngeneic, GEMM, PDX, and xenograft models.
  • Discussion of challenges including neoantigens, metastasis types, and tumor heterogeneity.

Main Results:

  • Current preclinical models face challenges like fluorophore-immunogenic neoantigens and differences between experimental and spontaneous metastasis.
  • Tumor heterogeneity and cell plasticity in the tumor immune microenvironment (TIME) of metastatic sites are significant concerns.
  • The efficacy of immune checkpoint blockade (ICB) may vary between primary and metastatic tumors.

Conclusions:

  • Improved preclinical models are crucial for developing effective treatments for metastatic breast cancer.
  • Addressing model limitations, such as tumor heterogeneity and immune microenvironment dynamics, is essential.
  • Further research is needed to understand how TIME plasticity affects treatment response in metastatic settings.

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