Literature DB >> 32738648

Identification of programmed death ligand-1 positive exosomes in breast cancer based on DNA amplification-responsive metal-organic frameworks.

Ya Cao1, Ying Wang2, Xiaomeng Yu1, Xihui Jiang3, Gang Li4, Jing Zhao5.   

Abstract

Cancer-derived exosomes have recently emerged as potent candidates for diagnosis and prognosis of breast cancer. As an example, programmed death ligand-1 positive (PD-L1+) exosomes are found to be correlated with the progression and immunotherapy response of breast cancer, and therefore show great potential in liquid biopsy. Herein, we propose an electrochemical biosensing method for accurate identification of PD-L1+ exosomes by using DNA amplification-responsive metal-organic frameworks, PVP@HRP@ZIF-8. Specially, PD-L1+ exosomes are captured by anti-CD63 functionalized magnetic beads and bound with anti-PD-L1-linked capture probe. Then, in situ hyperbranched rolling circle amplification, a typical DNA amplification reaction, is conducted using the surface-attached capture probes as primers, which lows environmental pH. As a result, disassembly of PVP@HRP@ZIF-8 takes place, leading to the release of enzymes, which can arouse amplified electrochemical responses for the identification of target exosomes. Experimental results reveal that the biosensing method displays a linear range for PD-L1+ exosomes identification from 1 × 103 to 1 × 1010 particles/mL and the detection limit reaches 334 particles/mL. What is more, by using the method, elevated level of circulating PD-L1+ exosomes is found in the undiluted serum samples from patients with breast cancer, particularly for metastatic breast cancer, revealing a positive correlation of the PD-L1+ exosome level with the tumor staging and disease progression of breast cancer. Therefore, the biosensing method may be valuable for not only exosome identification but also providing reference information for diagnosis and real-time monitoring of breast cancer in the future.
Copyright © 2020 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Breast cancer; Electrochemical technique; Hyperbranched rolling circle amplification; Metal-organic framework; Programmed death ligand-1

Mesh:

Substances:

Year:  2020        PMID: 32738648     DOI: 10.1016/j.bios.2020.112452

Source DB:  PubMed          Journal:  Biosens Bioelectron        ISSN: 0956-5663            Impact factor:   10.618


  9 in total

Review 1.  Biosensor-based assay of exosome biomarker for early diagnosis of cancer.

Authors:  Ying Deng; Zhaowei Sun; Lei Wang; Minghui Wang; Jie Yang; Genxi Li
Journal:  Front Med       Date:  2021-09-27       Impact factor: 4.592

Review 2.  Harnessing the Therapeutic Potential of Extracellular Vesicles for Biomedical Applications Using Multifunctional Magnetic Nanomaterials.

Authors:  Letao Yang; Kapil D Patel; Christopher Rathnam; Ramar Thangam; Yannan Hou; Heemin Kang; Ki-Bum Lee
Journal:  Small       Date:  2022-02-08       Impact factor: 15.153

3.  Rapid Capturing and Chemiluminescent Sensing of Programmed Death Ligand-1 Expressing Extracellular Vesicles.

Authors:  Adeel Khan; Kaili Di; Haroon Khan; Nongyue He; Zhiyang Li
Journal:  Biosensors (Basel)       Date:  2022-04-28

4.  Anticipating metastasis through electrochemical immunosensing of tumor hypoxia biomarkers.

Authors:  Cristina Muñoz-San Martín; Maria Gamella; María Pedrero; Ana Montero-Calle; Víctor Pérez-Ginés; Jordi Camps; Meritxell Arenas; Rodrigo Barderas; José M Pingarrón; Susana Campuzano
Journal:  Anal Bioanal Chem       Date:  2021-02-26       Impact factor: 4.142

5.  Surfactant-guided spatial assembly of nano-architectures for molecular profiling of extracellular vesicles.

Authors:  Zhigang Wang; Haitao Zhao; Yan Zhang; Auginia Natalia; Chin-Ann J Ong; Melissa C C Teo; Jimmy B Y So; Huilin Shao
Journal:  Nat Commun       Date:  2021-06-30       Impact factor: 14.919

Review 6.  Advanced Nanotechnologies for Extracellular Vesicle-Based Liquid Biopsy.

Authors:  Li Min; Binshuai Wang; Han Bao; Xinran Li; Libo Zhao; Jingxin Meng; Shutao Wang
Journal:  Adv Sci (Weinh)       Date:  2021-08-31       Impact factor: 16.806

Review 7.  Exosomes as a new frontier of cancer liquid biopsy.

Authors:  Dan Yu; Yixin Li; Maoye Wang; Jianmei Gu; Wenrong Xu; Hui Cai; Xinjian Fang; Xu Zhang
Journal:  Mol Cancer       Date:  2022-02-18       Impact factor: 27.401

Review 8.  Exosomes and cancer - Diagnostic and prognostic biomarkers and therapeutic vehicle.

Authors:  Xia Wang; Lu Tian; Jingyi Lu; Irene Oi-Lin Ng
Journal:  Oncogenesis       Date:  2022-09-15       Impact factor: 6.524

Review 9.  Recent Advances in Detection for Breast-Cancer-Derived Exosomes.

Authors:  Qin Tang; Xinying Xiao; Ranhao Li; Hailun He; Shanni Li; Changbei Ma
Journal:  Molecules       Date:  2022-10-07       Impact factor: 4.927

  9 in total

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