Newcastle University Centre for Cancer, Translational and Clinical Research Institute, Paul O'Gorman Building, Newcastle University, Newcastle upon Tyne, NE2 4HH, UK.
Faculty of Medicine, Department of Surgery and Cancer, Imperial College London, Hammersmith Hospital Campus, London, W12 0NN, UK.
Oncogene. 2023 Aug;42(32):2417-2427. doi: 10.1038/s41388-023-02776-6. Epub 2023 Jul 12.
A key challenge in the clinical management and cause of treatment failure of prostate cancer (PCa) is its molecular, cellular and clinical heterogeneity. Modelling systems that fully recapitulate clinical diversity and resistant phenotypes are urgently required for the development of successful personalised PCa therapies. The advent of the three-dimensional (3D) organoid model has revolutionised preclinical cancer research through reflecting heterogeneity and offering genomic and environmental manipulation that has opened up unparalleled opportunities for applications in disease modelling, high-throughput drug screening and precision medicine. Despite these remarkable achievements of organoid technology, several shortcomings in emulating the complex tumor microenvironment and dynamic process of metastasis as well as the epigenome profile limit organoids achieving true in vivo functionality. Technological advances in tissue engineering have enabled the development of innovative tools to facilitate the design of improved 3D cancer models. In this review, we highlight the current in vitro 3D PCa models with a special focus on organoids and discuss engineering approaches to create more physiologically relevant PCa organoid models and maximise their translational relevance that ultimately will help to realise the transformational power of precision medicine.
前列腺癌(PCa)临床管理和治疗失败的一个关键挑战是其分子、细胞和临床异质性。为了开发成功的个性化 PCa 治疗方法,迫切需要能够充分再现临床多样性和耐药表型的建模系统。三维(3D)类器官模型的出现通过反映异质性和提供基因组和环境操作,彻底改变了临床前癌症研究,为疾病建模、高通量药物筛选和精准医学的应用开辟了前所未有的机会。尽管类器官技术取得了这些显著成就,但在模拟复杂的肿瘤微环境和转移的动态过程以及表观基因组特征方面存在一些不足之处,限制了类器官实现真正的体内功能。组织工程技术的进步使开发创新工具成为可能,从而有助于设计改进的 3D 癌症模型。在这篇综述中,我们重点介绍了目前的体外 3D PCa 模型,特别是类器官,并讨论了构建更具生理相关性的 PCa 类器官模型的工程方法,并最大限度地提高其转化相关性,最终将有助于实现精准医学的变革力量。