4.7 Review

Emerging Advances of Detection Strategies for Tumor-Derived Exosomes

期刊

出版社

MDPI
DOI: 10.3390/ijms23020868

关键词

exosomes; tumor-derived exosomes; molecular biomarkers; detection methods

资金

  1. Zhejiang Provincial Natural Science Foundation of China [LY20H160008]
  2. Joint Funds of the Zhejiang Provincial Natural Science Foundation of China [LHDMZ22H300001]
  3. National Natural Science Foundation of China [82074052]
  4. Key Research Project of Zhejiang Provincial Traditional Chinese Medicine Science and Technology Program [2022ZZ024]
  5. Key projects of National Natural Science Foundation of China [81730108]

向作者/读者索取更多资源

Exosomes derived from tumor cells contain various molecular components that are crucial for tumorigenesis and cancer diagnosis. The interdisciplinary significance of exosome research requires advanced methods to detect and evaluate complex biofluids.
Exosomes derived from tumor cells contain various molecular components, such as proteins, RNA, DNA, lipids, and carbohydrates. These components play a crucial role in all stages of tumorigenesis and development. Moreover, they reflect the physiological and pathological status of parental tumor cells. Recently, tumor-derived exosomes have become popular biomarkers for non-invasive liquid biopsy and the diagnosis of numerous cancers. The interdisciplinary significance of exosomes research has also attracted growing enthusiasm. However, the intrinsic nature of tumor-derived exosomes requires advanced methods to detect and evaluate the complex biofluid. This review analyzes the relationship between exosomes and tumors. It also summarizes the exosomal biological origin, composition, and application of molecular markers in clinical cancer diagnosis. Remarkably, this paper constitutes a comprehensive summary of the innovative research on numerous detection strategies for tumor-derived exosomes with the intent of providing a theoretical basis and reference for early diagnosis and clinical treatment of cancer.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据