4.7 Review

Implications and pitfalls for cancer diagnostics exploiting extracellular vesicles

期刊

ADVANCED DRUG DELIVERY REVIEWS
卷 175, 期 -, 页码 -

出版社

ELSEVIER
DOI: 10.1016/j.addr.2021.05.029

关键词

Tumor marker; Biomarker; Exosomes; Oncology; Preventive screening; Therapy monitoring; miRNA

资金

  1. European Union's Horizon 2020 research and innovation programme (Marie Sklodowska-Curie project) [860303]
  2. Austrian Science Fund FWF [P 34137-B]

向作者/读者索取更多资源

Early detection of cancer remains a challenge in clinical diagnostics, but the combination of extracellular vesicle analysis with liquid biopsy has opened up new possibilities for tumor detection. This review summarizes the diversity of known EV species and their cargo molecules, discusses challenges and future directions in the application of liquid biopsy-based EV analytics in oncology.
Early detection of cancer in order to facilitate timely therapeutic interventions is an unsolved problem in today's clinical diagnostics. Tumors are detected so far mostly after pathological symptoms have emerged (usually already in progressed disease states), within preventive screenings, or occasionally as incidental finding. The emergence of extracellular vesicle (EV) analytics in combination with liquid biopsy sampling opened a plethora of new possibilities for the detection of tumors (and other diseases). This review gives an overview of the diversity of currently known EV species and the relevant cargo molecules representing potential biomarkers to detect, identify and characterize tumor cells. A number of molecules reported in recent years to be valuable targets for different aspects of cancer diagnostics, are presented. Furthermore, we discuss (technical) challenges and pitfalls related to the various potential applications (screening, diagnosis, prognosis, monitoring) of liquid biopsy based EV analytics, and give an outlook to possible future directions of this emerging field in oncology. (c) 2021 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

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