Silva Jessica, Oliveira Paula A, Duarte José Alberto, Faustino-Rocha Ana I
Centre for the Research and Technology of Agro-Environmental and Biological Sciences (CITAB), University of Trás-os-Montes and Alto Douro (UTAD), Vila Real, Portugal;
Institute for Innovation, Capacity Building and Sustainability of Agri-food Production (Inov4Agro), Vila Real, Portugal.
In Vivo. 2025 Jan-Feb;39(1):1-16. doi: 10.21873/invivo.13800.
Breast cancer research heavily relies on diverse model systems to comprehend disease progression, develop novel diagnostics, and evaluate new therapeutic strategies. This review offers a comprehensive overview of mammary cancer models, covering both ex vivo and in vivo approaches. We delve into established techniques, such as cell culture and explore cutting-edge advancements, like tumor-on-a-chip and bioprinting. The in vivo section encompasses spontaneous, induced, and transplanted models, genetically engineered models, chick chorioallantoic membrane assays, and the burgeoning field of in silico models. Additionally, this article briefly highlights the key discoveries made using these models, significantly enhancing our understanding of breast cancer. In essence, this article serves as a comprehensive compass, charting the trajectory of mammary cancer modeling from its early beginnings to the promising vistas of tomorrow.
乳腺癌研究严重依赖于多种模型系统，以了解疾病进展、开发新型诊断方法并评估新的治疗策略。本综述全面概述了乳腺癌模型，涵盖体外和体内方法。我们深入探讨了既定技术，如细胞培养，并探索了前沿进展，如芯片上的肿瘤和生物打印。体内部分包括自发、诱导和移植模型、基因工程模型、鸡胚绒毛尿囊膜试验以及新兴的计算机模拟模型领域。此外，本文简要强调了使用这些模型所取得的关键发现，显著增进了我们对乳腺癌的理解。本质上，本文就像一个全面的指南针，描绘了乳腺癌建模从早期起源到未来充满希望的前景的发展轨迹。
