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Get Free AccessAbstract Although strategies for circulating tumor cells (CTCs) enrichment have been proposed, the practical effects of clinical CTCs detection are far from satisfactory. Generally, the methodologies for CTCs detection aim at naturally occurring targets, but misdetection/interferences are prevalent due to the diverse phenotypes and subpopulations of CTCs with high heterogeneity. Herein, a CTCs isolation system based on the “labeling-capture-release” process is demonstrated for precise and high-efficient enrichment of CTCs from clinical blood samples. The mechanism which is based on abnormal glyco-metabolism of tumor cells including CTCs can be utilized for the surface decoration of CTCs with artificial azido groups. With the aid of bio-orthogonal plates designed with DBCO- and disulfide groups and exploiting the anti-fouling effects, the cells labeled with azido groups can be captured via a copper-free click reaction and released in a non-destructive manner during subsequent disulfide reduction. The technique is demonstrated to label multiple different types of tumor cells with the EpCAM+/- phenotypes and adherent/suspended status, and all the epithelial/interstitial/hybrid phenotypes of CTCs can be separated from clinical blood samples from 25 patients with 10 different cancer types. Moreover, our strategy is superior to the clinically approved CTCs detection system from the perspective of broad-spectrum and accurate recognition of heterogeneous CTCs. The capturing efficiency of this isolation system is over 80% and the release efficiency exceeds 90%. Most of the released CTCs survive with maintained glycolytic activity thus boding well for downstream applications such as drug susceptibility tests using viable CTCs.
Zhiqi Lao, Xiaoxue Ren, Dehua Zhuang, Lingxia Xie, Yucong Zhang, Wei Li, Zhenyou Jiang, Yue Chen, Penghui Li, Liping Tong, Paul Kim Ho Chu, Huaiyu Wang (2024). Beyond enumeration: Phenotype independent “labeling-capture-release” process enabling precise detection of circulating tumour cells and downstream applications. , DOI: https://doi.org/10.1101/2024.03.27.586941.
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Type
Preprint
Year
2024
Authors
12
Datasets
0
Total Files
0
Language
en
DOI
https://doi.org/10.1101/2024.03.27.586941
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