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REVIEW article

Front. Chem.

Sec. Electrochemistry

Volume 13 - 2025 | doi: 10.3389/fchem.2025.1556595

This article is part of the Research Topic Advances in New Tools of Electrochemistry for the Bioanalysis View all articles

Advances in Electrochemical Biosensors for the detection of tumor-derived exosomes

Provisionally accepted
Jun Chen Jun Chen 1Zhou Zhao Zhou Zhao 2Honglin Zhu Honglin Zhu 1Xiaobing Li Xiaobing Li 1*
  • 1 University of Shanghai for Science and Technology, Shanghai, China
  • 2 Department of Pharmacy, Shanghai Ninth People’s Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China

The final, formatted version of the article will be published soon.

    Exosomes, released from diverse cells as nanoscale lipid bilayer vesicles, mediate intercellular communication and participate in various physiological and pathological processes. Thereinto, tumor-derived exosomes (T-EXOs) with molecular cargoes of parent tumor cells act as attractive biomarkers for tumor liquid biopsy. The amount of T-EXOs and their levels of contained specific proteins and nucleic acids are closely associated with cancer burden and classification. Nevertheless, the nanoscale size and relatively low abundance of exosomes, as well as complex body liquid matrix pose daunting challenges for efficient isolation and sensitive detection of T-EXOs.Biosensing as fast, convenient and accurate method, has been widely employed for the detection of biomarkers over the past decades. Among them, electrochemical sensors can sensitively detect biomarkers by measuring of the change of electrical signal caused by oxidation or reduction at the working electrode surface. This review aims to summarize the recent advance in electrochemical biosensors for quantification, and protein and RNA analysis of exosomes. Further, challenges and future perspectives for exosome-based liquid biopsy have been discussed.

    Keywords: Exosomes, Tumor-derived exosomes (T-EXOs), liquid biopsy, electrochemical biosensors, biomarkers

    Received: 07 Jan 2025; Accepted: 07 Mar 2025.

    Copyright: © 2025 Chen, Zhao, Zhu and Li. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Xiaobing Li, University of Shanghai for Science and Technology, Shanghai, China

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

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