Literature DB >> 31472702

A platform for primary tumor origin identification of circulating tumor cells via antibody cocktail-based in vivo capture and specific aptamer-based multicolor fluorescence imaging strategy.

Min Jia1, Yifei Mao1, Chuanchen Wu1, Shuo Wang2, Hongyan Zhang3.   

Abstract

Circulating tumor cells (CTCs) are expected to serve as a blood-based biomarker in the diagnosis of cancers at an early stage, providing an opportunity to increase the survival of cancer patients. Current techniques for CTC detection were designed for some particular types of cancer with confirmed primary tumor origin. In this work, a platform for the detection of two cancer types and the identification of the primary tumor origin of CTCs was established to meet the requirement of cancer diagnosis and clinical application. A combined strategy based on in vivo capture method using antibody cocktail and multicolor fluorescence imaging using aptamer was designed to achieve the high-efficiency capture of CTCs and the accurate location of the primary tumor. An antibody cocktail of epithelial cell adhesion molecule (EpCAM) and epidermal growth factor receptor (EGFR) was applied to capture breast cancer CTCs and hepatocellular CTCs in vivo. The capture efficiency of hepatocellular CTCs was significantly increased from 3.17% to 26.67% and the capture efficiency of breast cancer CTCs slightly increased from 27.00% to 29.84% compared with EpCAM-based capture of CTCs. Meanwhile, the primary tumor origins of breast cancer CTCs and hepatocellular CTCs were simultaneously distinguished by specific aptamer-based fluorescence probes without any signal crosstalk. The results of in vivo experiments using the dual tumor-bearing mouse model confirmed the feasibility of this method to capture CTCs and identify primary tumor origins. This simple and efficient approach has potential for future applications in cancer diagnosis and prognosis.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Antibody cocktail; Aptamer; Circulating tumor cells; In vivo capture; Primary tumor origin identification

Year:  2019        PMID: 31472702     DOI: 10.1016/j.aca.2019.07.051

Source DB:  PubMed          Journal:  Anal Chim Acta        ISSN: 0003-2670            Impact factor:   6.558


  2 in total

1.  Can we infer tumor presence of single cell transcriptomes and their tumor of origin from bulk transcriptomes by machine learning?

Authors:  Hua-Ping Liu; Dongwen Wang; Hung-Ming Lai
Journal:  Comput Struct Biotechnol J       Date:  2022-05-23       Impact factor: 6.155

2.  Selection and application of aptamers with high-affinity and high-specificity against dinophysistoxin-1.

Authors:  Zhen Li; Bo Hu; Rong Zhou; Xiaojuan Zhang; Ruizhe Wang; Yun Gao; Mingjuan Sun; Binghua Jiao; Lianghua Wang
Journal:  RSC Adv       Date:  2020-02-26       Impact factor: 4.036

  2 in total

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