↓ Skip to main content

Evaluation of a novel saliva‐based epidermal growth factor receptor mutation detection for lung cancer: A pilot study

Overview of attention for article published in Thoracic Cancer, May 2016
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
1 tweeter
reddit
1 Redditor

Citations

dimensions_citation
42 Dimensions

Readers on

mendeley
38 Mendeley
Title
Evaluation of a novel saliva‐based epidermal growth factor receptor mutation detection for lung cancer: A pilot study
Published in
Thoracic Cancer, May 2016
DOI 10.1111/1759-7714.12350
Pubmed ID
Authors

Dan Pu, Hao Liang, Fang Wei, David Akin, Ziding Feng, QingXiang Yan, Yin Li, Yan Zhen, Lin Xu, Gaochao Dong, Huajing Wan, Jingsi Dong, Xiaoming Qiu, Changlong Qin, Daxing Zhu, Xi Wang, Tong Sun, Wenbiao Zhang, Canjun Li, Xiaojun Tang, Youlin Qiao, David T.W. Wong, Qinghua Zhou

Abstract

This article describes a pilot study evaluating a novel liquid biopsy system for non-small cell lung cancer (NSCLC) patients. The electric field-induced release and measurement (EFIRM) method utilizes an electrochemical biosensor for detecting oncogenic mutations in biofluids. Saliva and plasma of 17 patients were collected from three cancer centers prior to and after surgical resection. The EFIRM method was then applied to the collected samples to assay for exon 19 deletion and p.L858 mutations. EFIRM results were compared with cobas results of exon 19 deletion and p.L858 mutation detection in cancer tissues. The EFIRM method was found to detect exon 19 deletion with an area under the curve (AUC) of 1.0 in both saliva and plasma samples in lung cancer patients. For L858R mutation detection, the AUC of saliva was 1.0, while the AUC of plasma was 0.98. Strong correlations were also found between presurgery and post-surgery samples for both saliva (0.86 for exon 19 and 0.98 for L858R) and plasma (0.73 for exon 19 and 0.94 for L858R). Our study demonstrates the feasibility of utilizing EFIRM to rapidly, non-invasively, and conveniently detect epidermal growth factor receptor mutations in the saliva of patients with NSCLC, with results corresponding perfectly with the results of cobas tissue genotyping.

Twitter Demographics

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

Mendeley readers

The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 38 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 24%
Researcher 5 13%
Student > Postgraduate 3 8%
Professor > Associate Professor 3 8%
Student > Master 3 8%
Other 8 21%
Unknown 7 18%
Readers by discipline Count As %
Medicine and Dentistry 9 24%
Biochemistry, Genetics and Molecular Biology 9 24%
Agricultural and Biological Sciences 3 8%
Neuroscience 2 5%
Engineering 2 5%
Other 2 5%
Unknown 11 29%

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 08 July 2016.
All research outputs
#12,701,633
of 15,996,627 outputs
Outputs from Thoracic Cancer
#211
of 534 outputs
Outputs of similar age
#187,781
of 268,491 outputs
Outputs of similar age from Thoracic Cancer
#8
of 14 outputs
Altmetric has tracked 15,996,627 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 534 research outputs from this source. They receive a mean Attention Score of 2.6. This one is in the 39th percentile – i.e., 39% 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 268,491 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.