Wang Chih-Hung, Weng Chen-Hsun, Che Yu-Jui, Wang Kuan, Lee Gwo-Bin
1. Department of Power Mechanical Engineering, National Tsing Hua University, Hsinchu, Taiwan.
4. Nanomedicine Program and Institute of Biological Chemistry, Academia Sinica, Taipei, Taiwan.
Theranostics. 2015 Feb 5;5(4):431-42. doi: 10.7150/thno.10891. eCollection 2015.
Ovarian cancer is one of the leading causes of female mortality worldwide. Unfortunately, there are currently few high-specificity candidate oligopeptide targeting agents that can be used for early diagnosis of this cancer. It has been suggested that cancer-specific oligopeptides could be screened from a phage display library. However, conventional methods are tedious, labor-intensive, and time consuming. Therefore, a novel, integrated microfluidic system was developed to automate the entire screening process for ovarian cancer cell-specific oligopeptides. An oligopeptide screened with microfluidic chip-based technique was demonstrated to have high affinity to ovarian cancer cells and demonstrated relatively low binding to other cancer cells, indicating a high specificity. Furthermore, the developed method consumed relatively low volumes of samples and reagents; only 70 μL of reactant was used within the whole experimental process. Each panning process was also significantly shortened to only 7.5 hours. Therefore, the screened oligopeptide could be used to isolate ovarian cancer cells in a rapid manner, thus greatly expediting the diagnosis and its application as oligopeptide targeting agent for theranostics of this cancer.
卵巢癌是全球女性死亡的主要原因之一。不幸的是，目前几乎没有可用于这种癌症早期诊断的高特异性候选寡肽靶向剂。有人提出，可以从噬菌体展示文库中筛选癌症特异性寡肽。然而，传统方法繁琐、 labor-intensive且耗时。因此，开发了一种新型的集成微流控系统，以实现卵巢癌细胞特异性寡肽整个筛选过程的自动化。用基于微流控芯片技术筛选出的一种寡肽被证明对卵巢癌细胞具有高亲和力，而与其他癌细胞的结合相对较低，表明具有高特异性。此外，所开发的方法消耗的样品和试剂体积相对较小；整个实验过程仅使用70μL反应物。每次淘选过程也显著缩短至仅7.5小时。因此，筛选出的寡肽可用于快速分离卵巢癌细胞，从而大大加快诊断速度及其作为该癌症治疗诊断用寡肽靶向剂的应用。
