An individual diagnosis of uterine cancer stem cells by SNP analysis

单核苷酸多态性（snp）分析有望成为药物治疗中的个体化医学。在本研究中，我们试图提取与子宫癌辅助化疗药物反应相关的snp，作为癌症干细胞的个体诊断。进行综合SNP分析，鉴定出药物代谢基因的特异性SNP。这些snp可能有助于预测化疗的毒性和效果。基于基因组信息的癌症干细胞个体诊断可能适用于子宫癌和其他癌症的新的个性化治疗。

Single nucleotide polymorphisms (SNPs) analysis is expected as the personalized medicine in pharmacotherapy. In this study, we attempted to extract SNPs correlated with drug response of adjuvant chemotherapy for uterine cancer as an individual diagnosis of cancer stem cells.A comprehensive SNP analysis was conducted, and specific SNPs on drug metabolism genes were identified. These SNPs may be useful in predicting toxicities as well as effects of chemotherapy.An individual diagnosis of cancer stem cells based on genomic information could apply to a new personalized treatment for uterine and other cancers.