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MINI REVIEW article

Front. Cell Dev. Biol.

Sec. Cancer Cell Biology

Volume 13 - 2025 | doi: 10.3389/fcell.2025.1560583

Exosomes and Their Cargo Proteins in Diagnosis, process and Treatment of Gastric Cancer

Provisionally accepted
Wenjing  LuWenjing LuMinghan  LiMinghan LiDanZeng  LaMuDanZeng LaMuHui  QianHui QianZhaofeng  LiangZhaofeng Liang*Xuezhong  XuXuezhong Xu
  • Jiangsu University, Zhenjiang, China

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

Gastric cancer is one of the common malignant tumors of digestive tract. Early diagnosis, process monitoring, and appropriate treatment strategies are crucial to reducing mortality and improving patient outcomes. However, the lack of specific early symptoms and reliable diagnostic markers often leads to delayed diagnosis and suboptimal treatment strategies. Exosomes, as small vesicular structures derived from endosomes, play crucial roles in cell-to-cell communication and have emerged as promising biomarkers and therapeutic targets in various cancers, including gastric cancer. This comprehensive review delves into the significance of exosomes and their cargo proteins, particularly focusing on their applications in the diagnosis, progress and treatment of gastric cancer. Based on this review, we believe that the real-time release characteristics of extracellular vesicle proteins make them an ideal tool for dynamically monitoring gastric cancer progression and treatment response. The potential of extracellular vesicles in "liquid biopsy" can be explored to replace traditional invasive examinations and achieve non-invasive and continuous disease monitoring. In the future, nanotechnology can be combined with artificial intelligence to develop an efficient extracellular vesicle protein capture and analysis platform, in order to enhance diagnostic sensitivity and specificity.

Keywords: Exosomes, Proteins, diagnosis, occurrence, development, Treatment, gastric cancer

Received: 14 Jan 2025; Accepted: 26 Jun 2025.

Copyright: © 2025 Lu, Li, LaMu, Qian, Liang and Xu. 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: Zhaofeng Liang, Jiangsu University, Zhenjiang, China

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