Bartlett Richard, Everett William, Lim Santi, G Natasha, Loizidou Marilena, Jell Gavin, Tan Aaron, Seifalian Alexander M
Centre for Nanotechnology & Regenerative Medicine, Research Department of Nanotechnology, UCL Division of Surgery & Interventional Science, University College London (UCL), London, UK; UCL Medical School, University College London (UCL), London, UK.
Centre for Nanotechnology & Regenerative Medicine, Research Department of Nanotechnology, UCL Division of Surgery & Interventional Science, University College London (UCL), London, UK.
Transl Oncol. 2014 Dec;7(6):657-64. doi: 10.1016/j.tranon.2014.10.006.
With greater technological advancements and understanding of pathophysiology, "personalized medicine" has become a more realistic goal. In the field of cancer, personalized medicine is the ultimate objective, as each cancer is unique and each tumor is heterogeneous. For many decades, researchers have relied upon studying the histopathology of tumors in the hope that it would provide clues to understanding the pathophysiology of cancer. Current preclinical research relies heavily upon two-dimensional culture models. However, these models have had limited success in recreating the complex interactions between cancer cells and the stroma environment in vivo. Thus, there is increasing impetus to shift to three-dimensional models, which more accurately reflect this phenomenon. With a more accurate in vitro tumor model, drug sensitivity can be tested to determine the best treatment option based on the tumor characteristics. Many methods have been developed to create tumor models or "tumoroids," each with its advantages and limitations. One significant problem faced is the replication of angiogenesis that is characteristic of tumors in vivo. Nonetheless, if three-dimensional models could be standardized and implemented as a preclinical research tool for therapeutic testing, we would be taking a step towards making personalized cancer medicine a reality.
随着技术的更大进步以及对病理生理学的更深入理解,“个性化医疗”已成为一个更现实的目标。在癌症领域,个性化医疗是最终目标,因为每种癌症都是独特的,且每个肿瘤都是异质性的。几十年来,研究人员一直依赖研究肿瘤的组织病理学,希望它能为理解癌症的病理生理学提供线索。当前的临床前研究严重依赖二维培养模型。然而,这些模型在重现癌细胞与体内基质环境之间的复杂相互作用方面取得的成功有限。因此,转向更能准确反映这一现象的三维模型的动力越来越大。借助更精确的体外肿瘤模型,可以测试药物敏感性,以根据肿瘤特征确定最佳治疗方案。已经开发出许多方法来创建肿瘤模型或“类肿瘤”,每种方法都有其优缺点。面临的一个重大问题是体内肿瘤特有的血管生成的复制。尽管如此,如果三维模型能够标准化并作为治疗测试的临床前研究工具实施,我们将朝着使个性化癌症医疗成为现实迈出一步。