In Search of Representative Translational Cancer Model Systems

Abstract

Racial disparities in cancer outcomes are well documented across tumor types. For patients with breast cancer, Black women are more likely to present with more aggressive molecular features and more likely to die from disease, even after accounting for those features. Recent efforts have been aimed at developing translational model systems for precision medicine strategies, and a major focus has been on patient-derived organoids. Organoids allow for robust in vitro experimental platforms, including drug and CRISPR screens while maintaining more complex cancer and tumor microenvironment subpopulations than cell lines. For results that are broadly translationally relevant, it is important that cancer models are derived from the spectrum of human disease and humans with disease. In this issue of Cancer Research, Madorsky Rowdo and colleagues derive breast cancer organoids from patients with African ancestry and use CRISPR-Cas9 screens to identify novel therapeutic vulnerabilities. These findings demonstrate the promise of representative cancer model systems to facilitate discoveries that are most likely to translate to improved therapy for all patients. See related article by Madorsky Rowdo et al., p. 551