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| Content Provider | World Health Organization (WHO)-Global Index Medicus |
|---|---|
| Author | Yu, Shentong Wei, Yifang Xu, Yuqiao Zhang, Yuan Li, Jipeng Zhang, Jian |
| Description | Country affiliation: China Author Affiliation: Yu S ( Department of Biochemistry and Molecular Biology, State Key Laboratory of Cancer Biology, The Fourth Military Medical University, Xi'an, 710032, China.); Wei Y ( Cadet Brigade of the Fourth Military Medical University, The Fourth Military Medical University, Xi'an, 710032, China.); Xu Y ( Department of Biochemistry and Molecular Biology, State Key Laboratory of Cancer Biology, The Fourth Military Medical University, Xi'an, 710032, China.); Zhang Y ( Department of Pathology, Xijing Hospital, State Key Laboratory of Cancer Biology, The Fourth Military Medical University, Xi'an, 710032, China.); Li J ( Department of Oncology, The State Key Discipline of Cell Biology, Xijing Hospital, The Fourth Military Medical University, Xi'an, 710032, China.); Zhang J ( State Key Laboratory of Cancer Biology, Institute of Digestive Diseases, Xijing Hospital, The Fourth Military Medical University, Xi'an, 710032, China. jipengli1974@aliyun.com.) |
| Abstract | Drug resistance currently represents a daunting challenge in the treatment of breast cancer patients. With an increased understanding of the underlying mechanisms of drug resistance, the role of extracellular vesicles (EVs) in the development of chemo-insensitivity attracts extensive attention. EVs are membrane-limited, cell type-dependent vesicles that are secreted by normal or malignant cells. EVs comprise various types of contents, including genetic cargoes, proteins, and specific lipids. The characteristics of the contents determine their specific functions in not only physiological but also pathological conditions. It has been demonstrated that miRNAs and proteins in EVs are strongly correlated with breast cancer drug resistance. Additionally, they may exert an influence on de novo and acquired resistance bioprocesses. With the advances in extraction and detection technologies, EVs have also been employed to precisely diagnose and predict the outcome of therapy in breast cancer. On the other hand, they can also be exploited as efficient delivery system in future anticancer applications. In this paper, we summarized relative mechanisms concerning the relationship between EVs and breast cancer drug resistance, and then, we provide up-to-date research advances in the clinical application of EVs. |
| File Format | HTM / HTML |
| ISSN | 10104283 |
| Issue Number | 3 |
| Journal | Tumor Biology |
| Volume Number | 37 |
| e-ISSN | 14230380 |
| Language | English |
| Publisher | Springer |
| Publisher Date | 2016-03-01 |
| Publisher Place | Netherlands |
| Access Restriction | Subscribed |
| Content Type | Text |
| Resource Type | Article |
| Subject | Medicine Cancer Research |
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