↓ Skip to main content

Circulating DNA addresses cancer monitoring in non small cell lung cancer patients for detection and capturing the dynamic changes of the disease

Overview of attention for article published in SpringerPlus, April 2016
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
2 X users

Citations

dimensions_citation
27 Dimensions

Readers on

mendeley
37 Mendeley
Title
Circulating DNA addresses cancer monitoring in non small cell lung cancer patients for detection and capturing the dynamic changes of the disease
Published in
SpringerPlus, April 2016
DOI 10.1186/s40064-016-2141-5
Pubmed ID
Authors

Zhangjing Wei, Nirej Shah, Chong Deng, Xuehui Xiao, Tenglang Zhong, Xiansong Li

Abstract

Monitoring of key markers for lung cancer detection and tracking of acquired drug resistance is critical for the management of the disease. We aim to ascertain the value of monitoring both total cell free DNA concentrations and mutant EGFR DNA content within diverse groups of individuals most vulnerable to the disease. We proposed longitudinal monitoring of circulating DNA using digital PCR. Circulating DNA present in peripheral blood can be obtained non-invasively and provide timely disease status update. 25 heavy smokers and 50 patients undergoing TKI therapy were recruited. Peripheral blood specimens were taken at different time points and their circulating DNA were analyzed and quantified. Significant higher concentrations of total cell free DNA were detected when compared with healthy high-risk individuals. Levels were stable throughout the treatment cycles, which makes it potentially a useful tool for patient stratification. Concurrent mutant T790M DNA detection of lung cancer patients at baseline achieved 82 % concordance with matched tissue analysis. Samples initially negative for the T790M gene mutation that became positive during treatment were corroborated with a repeat biopsy. The results showed its usefulness for serial monitoring. Monitoring of circulating DNA addresses the need for disease detection and shows the ability to capture the dynamic changes of the disease.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users 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 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 37 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 22%
Student > Bachelor 7 19%
Other 6 16%
Student > Master 5 14%
Student > Ph. D. Student 4 11%
Other 2 5%
Unknown 5 14%
Readers by discipline Count As %
Medicine and Dentistry 11 30%
Biochemistry, Genetics and Molecular Biology 10 27%
Agricultural and Biological Sciences 6 16%
Pharmacology, Toxicology and Pharmaceutical Science 3 8%
Chemistry 1 3%
Other 1 3%
Unknown 5 14%
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 May 2016.
All research outputs
#15,373,286
of 22,870,727 outputs
Outputs from SpringerPlus
#935
of 1,850 outputs
Outputs of similar age
#179,398
of 298,932 outputs
Outputs of similar age from SpringerPlus
#80
of 139 outputs
Altmetric has tracked 22,870,727 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,850 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 35th percentile – i.e., 35% 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 298,932 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 139 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.