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Exosomes in tumor microenvironment: novel transporters and biomarkers

Overview of attention for article published in Journal of Translational Medicine, October 2016
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Title
Exosomes in tumor microenvironment: novel transporters and biomarkers
Published in
Journal of Translational Medicine, October 2016
DOI 10.1186/s12967-016-1056-9
Pubmed ID
Authors

Zhen Wang, Jun-Qiang Chen, Jin-lu Liu, Lei Tian

Abstract

Tumor microenvironment (TME) plays an integral part in the biology of cancer, participating in tumor initiation, progression, and response to therapy. Exosome is an important part of TME. Exosomes are small vesicles formed in vesicular bodies with a diameter of 30-100 nm and a classic "cup" or "dish" morphology. They can contain microRNAs, mRNAs, DNA fragments and proteins, which are shuttled from a donor cell to recipient cells. Exosomes secreted from tumor cells are called tumor-derived (TD) exosomes. There is emerging evidence that TD exosomes can construct a fertile environment to support tumor proliferation, angiogenesis, invasion and premetastatic niche preparation. TD exosomes also may facilitate tumor growth and metastasis by inhibiting immune surveillance and by increasing chemoresistance via removal of chemotherapeutic drugs. Therefore, TD-exosomes might be potential targets for therapeutic interventions via their modification or removal. For example, exosomes can serve as specific delivery vehicles to tumors of drugs, small molecules, or agents of prevention and gene therapy. Furthermore, the biomarkers detected in exosomes of biological fluids imply a potential for exosomes in the early detection and diagnosis, prediction of therapeutic efficacy, and determining prognosis of cancer. Although exosomes may serve as cancer biomarkers and aid in the treatment of cancer, we have a long way to go before we can further enhance the anti-tumor therapy of exosomes and develop exosome-based cancer diagnostic and therapeutic strategies.

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The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 189 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 189 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 32 17%
Student > Master 29 15%
Researcher 21 11%
Student > Bachelor 18 10%
Student > Doctoral Student 14 7%
Other 28 15%
Unknown 47 25%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 52 28%
Medicine and Dentistry 27 14%
Agricultural and Biological Sciences 19 10%
Immunology and Microbiology 9 5%
Pharmacology, Toxicology and Pharmaceutical Science 6 3%
Other 23 12%
Unknown 53 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 19 October 2016.
All research outputs
#20,349,664
of 22,896,955 outputs
Outputs from Journal of Translational Medicine
#3,323
of 4,008 outputs
Outputs of similar age
#273,131
of 315,882 outputs
Outputs of similar age from Journal of Translational Medicine
#69
of 73 outputs
Altmetric has tracked 22,896,955 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
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We're also able to compare this research output to 73 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.