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Extracellular vesicle-derived DNA for performing EGFR genotyping of NSCLC patients

Overview of attention for article published in Molecular Cancer, January 2018
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1 Redditor

Citations

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Readers on

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64 Mendeley
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Title
Extracellular vesicle-derived DNA for performing EGFR genotyping of NSCLC patients
Published in
Molecular Cancer, January 2018
DOI 10.1186/s12943-018-0772-6
Pubmed ID
Authors

Jae Young Hur, Hee Joung Kim, Jong Sik Lee, Chang-Min Choi, Jae Cheol Lee, Min Kyo Jung, Chan Gi Pack, Kye Young Lee

Abstract

Tumor cells shed an abundance of extracellular vesicles (EVs) to body fluids containing bioactive molecules including DNA, RNA, and protein. Investigations in the field of tumor-derived EVs open a new horizon in understanding cancer biology and its potential as cancer biomarkers as well as platforms for personalized medicine. This study demonstrates that successfully isolated EVs from plasma and bronchoalveolar lavage fluid (BALF) of non-small cell lung cancer (NSCLC) patients contain DNA that can be used for EGFR genotyping through liquid biopsy. In both plasma and BALF samples, liquid biopsy results using EV DNA show higher accordance with conventional tissue biopsy compared to the liquid biopsy of cfDNA. Especially, liquid biopsy with BALF EV DNA is tissue-specific and extremely sensitive compared to using cfDNA. Furthermore, use of BALF EV DNA also demonstrates higher efficiency in comparison to tissue rebiopsy for detecting p.T790 M mutation in the patients who developed resistance to EGFR-TKIs. These finding demonstrate possibility of liquid biopsy using EV DNA potentially replacing the current diagnostic methods for more accurate, cheaper, and faster results.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 64 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 17%
Student > Master 9 14%
Researcher 8 13%
Other 4 6%
Student > Postgraduate 3 5%
Other 7 11%
Unknown 22 34%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 27 42%
Medicine and Dentistry 8 13%
Pharmacology, Toxicology and Pharmaceutical Science 2 3%
Engineering 2 3%
Agricultural and Biological Sciences 1 2%
Other 3 5%
Unknown 21 33%
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 03 February 2018.
All research outputs
#20,462,806
of 23,020,670 outputs
Outputs from Molecular Cancer
#1,489
of 1,731 outputs
Outputs of similar age
#378,015
of 440,723 outputs
Outputs of similar age from Molecular Cancer
#49
of 57 outputs
Altmetric has tracked 23,020,670 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.
So far Altmetric has tracked 1,731 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 440,723 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 57 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.