Jiang Xinbang, Ma Boya, Sun Momo, Guo Chen, Liu Zhuang, Du Yunzheng, Wang Biao, Li Nan, Chen Mengya, Zhang Yanjia, Shen Jie, Ou Lailiang
Key Laboratory of Bioactive Materials, Ministry of Education, College of Life Science, Nankai University, Tianjin 300071, China.
Tianjin First Central Hospital, Tianjin 300192, China.
Anal Chem. 2023 Aug 15;95(32):11885-11891. doi: 10.1021/acs.analchem.3c00143. Epub 2023 Jun 22.
As a biomarker of hepatocellular carcinoma (HCC) biopsy, circulating tumor cells (CTCs) are often used in the diagnosis of cancer and treatment guidance. For CTCs detection, immuno-magnetic nanoparticles (IMNs) are one of the most commonly used platforms. However, the nonspecific adsorption of proteins and non-tumor cells weakens the performance of IMNs to capture CTCs. In this work, we developed an IMNs platform which was constructed by a biomimetic protein corona precoating and a polyethylene glycol (PEG) spacer to form the PEG and corona-coated IMNs (IP-CMNs). Due to the dual stealth effect of protein corona precoating and PEG spacer, the nonspecific protein adsorption and cell binding of P-CMNs could reduce by ∼5.5- and ∼5.4-fold, respectively, compared with those of unmodified particles. Furthermore, the PEG spacer could not only reduce the interaction between IP-CMNs and leukocytes but also enhance the capture performance toward tumor cells. By using artificial blood samples, the capture efficiency of IP-CMNs toward rare CTCs was found to be 88.3%, while it was 70.5% by using commercial IMNs. Finally, CTCs were successfully isolated in all HCC patient blood samples (7/7) using IP-CMNs. These results provide insight into the use of the multifunctional nanoplatform as a useful tool for CTCs detection.
作为肝细胞癌(HCC)活检的生物标志物,循环肿瘤细胞(CTC)常用于癌症诊断和治疗指导。对于CTC检测,免疫磁性纳米颗粒(IMN)是最常用的平台之一。然而,蛋白质和非肿瘤细胞的非特异性吸附会削弱IMN捕获CTC的性能。在这项工作中,我们开发了一种IMN平台,该平台由仿生蛋白冠预涂层和聚乙二醇(PEG)间隔物构建而成,形成了PEG和冠涂层IMN(IP-CMN)。由于蛋白冠预涂层和PEG间隔物的双重隐身效应,与未修饰的颗粒相比,P-CMN的非特异性蛋白吸附和细胞结合分别可减少约5.5倍和约5.4倍。此外,PEG间隔物不仅可以减少IP-CMN与白细胞之间的相互作用,还可以提高对肿瘤细胞的捕获性能。通过使用人工血样,发现IP-CMN对罕见CTC的捕获效率为88.3%,而使用商业IMN时为70.5%。最后,使用IP-CMN在所有HCC患者血样(7/7)中成功分离出CTC。这些结果为多功能纳米平台作为CTC检测的有用工具的应用提供了见解。