Mouse models remain indispensable for advancing our understanding of breast cancer biology, offering a versatile platform to investigate tumor initiation, progression, metastasis, and therapeutic response in physiologically relevant contexts. Their ability to recapitulate key features of human disease has made them central to discoveries in cancer genetics, tumor microenvironment interactions, and the development of targeted therapies.

Despite their value, the field continues to face challenges, including variability in model fidelity, limited representation of tumor heterogeneity, and the need for better alignment between preclinical findings and clinical outcomes. These issues underscore the ongoing need for robust comparative analyses, improved modeling strategies, and greater transparency in experimental design and reporting.

This collection aims to present method articles, original research, and reviews that collectively advance the development, characterization, and application of mouse models in breast cancer research. By integrating innovations in model engineering, emerging insights into disease mechanisms, and critical evaluations of current approaches, the Collection seeks to promote reproducibility, enhance translational relevance, and support future breakthroughs.

The scientific community will benefit from an integrated resource that highlights cutting-edge discoveries while contextualizing them within broader conceptual and technical frameworks. Researchers will gain access to detailed methodological workflows, new experimental findings, and authoritative syntheses of current knowledge, fostering collaboration and accelerating progress in understanding and treating breast cancer.