Blood-Derived Extracellular Vesicles as a Promising Liquid Biopsy Diagnostic Tool for Early Cancer Detection

Author:

He Dan1,Cui Bozhou2,Lv Hongkai3,Lu Shuxian1,Zhu Yuan1,Cheng Yuqiang3,Dang Lin4,Zhang Hong1

Affiliation:

1. Laboratory of Animal Center, Medical Experiment Center, Shaanxi University of Chinese Medicine, Xianyang 712046, China

2. Department of Experimental Surgery, Tangdu Hospital, Fourth Military Medical University, Xi’an 710038, China

3. Department of Clinical Medicine of Second Clinical Medical School, Shaanxi University of Chinese Medicine, Xianyang 712046, China

4. Basic Medical Academy, Shaanxi University of Chinese Medicine, Xianyang 712046, China

Abstract

Cancer poses a significant public health challenge worldwide, and timely screening has the potential to mitigate cancer progression and reduce mortality rates. Currently, early identification of most tumors relies on imaging techniques and tissue biopsies. However, the use of low-cost, highly sensitive, non-invasive detection methods for early cancer screening has become more attractive. Extracellular Vesicles (EVs) released by all living cells contain distinctive biological components, such as nucleic acids, proteins, and lipids. These vesicles play crucial roles in the tumor microenvironment and intercellular communication during tumor progression, rendering liquid biopsy a particularly suitable method for diagnosis. Nevertheless, challenges related to purification methods and validation of efficacy currently hinder its widespread clinical implementation. These limitations underscore the importance of refining isolation techniques and conducting comprehensive investigations on EVs. This study seeks to evaluate the potential of liquid biopsy utilizing blood-derived EVs as a practical, cost-effective, and secure approach for early cancer detection.

Funder

Shaanxi University of Chinese Medicine Doctoral Start-up Funding

Scientific Research Program Funded by Education Department of Shaanxi Provincial Government

Publisher

MDPI AG

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