Department of Integrative Biology and Pharmacology, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, USA.
Women's Health Institute, Cleveland Clinic Foundation, Cleveland, OH, USA.
Adv Exp Med Biol. 2018;1119:169-183. doi: 10.1007/5584_2018_257.
In 2006, Noble Prize laureate Shinya Yamanaka discovered that a set of transcription factors can reprogram terminally differentiated somatic cells to a pluripotent stem cell state. Since then, induced pluripotent stem cells (iPSCs) have come into the public spotlight. Amidst a growing field of promising clinical uses of iPSCs in recent years, cancer disease modeling has emerged as a particularly promising and rapidly translatable application of iPSCs. Technological advances in genome editing over the past few years have facilitated increasingly rapid progress in generation of iPSCs with clearly defined genetic backgrounds to complement existing patient-derived models. Improved protocols for differentiation of iPSCs, engineered iPSCs and embryonic stem cells (ESCs) now permit the study of disease biology in the majority of somatic cell types. Here, we highlight current efforts to create patient-derived iPSC disease models to study various cancer types. We review the advantages and current challenges of using iPSCs in cancer disease modeling.
2006 年,诺贝尔奖得主山中伸弥发现,一组转录因子可以将终末分化的体细胞重编程为多能干细胞状态。自那时以来,诱导多能干细胞(iPSCs)已成为公众关注的焦点。近年来,iPSCs 在许多有前途的临床应用领域中备受关注,癌症疾病建模作为 iPSCs 的一个特别有前途且快速转化的应用领域也逐渐兴起。过去几年中,基因组编辑技术的进步促进了具有明确遗传背景的 iPSCs 的快速产生,从而补充了现有的患者衍生模型。改进的 iPSCs、工程化 iPSCs 和胚胎干细胞(ESCs)的分化方案现在允许在大多数体细胞类型中研究疾病生物学。在这里,我们重点介绍了创建患者来源的 iPSC 疾病模型以研究各种癌症类型的最新进展。我们回顾了使用 iPSCs 进行癌症疾病建模的优势和当前挑战。