Liang Yi, Zhang Hui, Feng Qi-Sheng, Cai Man-Bo, Deng Wen, Qin Dajiang, Yun Jing-Ping, Tsao George Sai Wah, Kang Tiebang, Esteban Miguel Angel, Pei Duanqing, Zeng Yi-Xin
Department of Experimental Research, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, People's Republic of China.
Chin J Cancer. 2013 Apr;32(4):205-12. doi: 10.5732/cjc.012.10065. Epub 2012 Jun 14.
The discovery of induced pluripotent stem cells(iPSCs) is a promising advancement in the field of regenerative medicine. Previous studies have indicated that the teratoma-forming propensity of iPSCs is variable; however, the relationship between tumorigenic potential and genomic instability in human iPSCs (HiPSCs) remains to be fully elucidated. Here, we evaluated the malignant potential of HiPSCs by using both colony formation assays and tumorigenicity tests. We demonstrated that HiPSCs formed tumorigenic colonies when grown in cancer cell culture medium and produced malignancies in immunodeficient mice. Furthermore, we analyzed genomic instability in HiPSCs using whole-genome copy number variation analysis and determined that the extent of genomic instability was related with both the cells' propensity to form colonies and their potential for tumorigenesis. These findings indicate a risk for potential malignancy of HiPSCs derived from genomic instability and suggest that quality control tests, including comprehensive tumorigenicity assays and genomic integrity validation, should be rigorously executed before the clinical application of HiPSCs. In addition, HiPSCs should be generated through the use of combined factors or other approaches that decrease the likelihood of genomic instability.
诱导多能干细胞(iPSCs)的发现是再生医学领域一项有前景的进展。先前的研究表明,iPSCs形成畸胎瘤的倾向是可变的;然而,人类iPSCs(HiPSCs)的致瘤潜力与基因组不稳定性之间的关系仍有待充分阐明。在此,我们通过集落形成试验和致瘤性测试评估了HiPSCs的恶性潜能。我们证明,HiPSCs在癌细胞培养基中生长时会形成致瘤性集落,并在免疫缺陷小鼠中产生恶性肿瘤。此外,我们使用全基因组拷贝数变异分析来分析HiPSCs中的基因组不稳定性,并确定基因组不稳定性的程度与细胞形成集落的倾向及其致瘤潜力均相关。这些发现表明源自基因组不稳定性的HiPSCs存在潜在恶性风险,并表明在HiPSCs临床应用之前应严格执行包括全面致瘤性检测和基因组完整性验证在内的质量控制测试。此外,应通过使用联合因子或其他降低基因组不稳定性可能性的方法来生成HiPSCs。