4.7 Review

Engineering Breast Cancer On-chip-Moving Toward Subtype Specific Models

出版社

FRONTIERS MEDIA SA
DOI: 10.3389/fbioe.2021.694218

关键词

breast cancer; microfluidics; tumor microenvironment; tumor-on-chip; preclinical model

资金

  1. European Molecular Biology Laboratory (EMBL) Barcelona

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Breast cancer is the second leading cause of death among women worldwide. Different subtypes have different treatment strategies, and personalized treatments targeting components of the tumor microenvironment may help slow breast cancer progression, particularly for triple negative subtypes.
Breast cancer is the second leading cause of death among women worldwide, and while hormone receptor positive subtypes have a clear and effective treatment strategy, other subtypes, such as triple negative breast cancers, do not. Development of new drugs, antibodies, or immune targets requires significant re-consideration of current preclinical models, which frequently fail to mimic the nuances of patient-specific breast cancer subtypes. Each subtype, together with the expression of different markers, genetic and epigenetic profiles, presents a unique tumor microenvironment, which promotes tumor development and progression. For this reason, personalized treatments targeting components of the tumor microenvironment have been proposed to mitigate breast cancer progression, particularly for aggressive triple negative subtypes. To-date, animal models remain the gold standard for examining new therapeutic targets; however, there is room for in vitro tools to bridge the biological gap with humans. Tumor-on-chip technologies allow for precise control and examination of the tumor microenvironment and may add to the toolbox of current preclinical models. These new models include key aspects of the tumor microenvironment (stroma, vasculature and immune cells) which have been employed to understand metastases, multi-organ interactions, and, importantly, to evaluate drug efficacy and toxicity in humanized physiologic systems. This review provides insight into advanced in vitro tumor models specific to breast cancer, and discusses their potential and limitations for use as future preclinical patient-specific tools.

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