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Identification of plasma microRNA profiles for primary resistance to EGFR-TKIs in advanced non-small cell lung cancer (NSCLC) patients with EGFR activating mutation

Overview of attention for article published in Journal of Hematology & Oncology, November 2015
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3 X users
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1 Redditor

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47 Dimensions

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64 Mendeley
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Title
Identification of plasma microRNA profiles for primary resistance to EGFR-TKIs in advanced non-small cell lung cancer (NSCLC) patients with EGFR activating mutation
Published in
Journal of Hematology & Oncology, November 2015
DOI 10.1186/s13045-015-0210-9
Pubmed ID
Authors

Shuhang Wang, Xiaomei Su, Hua Bai, Jun Zhao, Jianchun Duan, Tongtong An, Minglei Zhuo, Zhijie Wang, Meina Wu, Zhenxiang Li, Jian Zhu, Jie Wang

Abstract

EGFR mutation is a strong predictor of efficacy of epidermal growth factor receptor tyrosine kinase inhibitor (EGFR-TKIs) therapy in advanced non-small cell lung cancer (NSCLC). However, around 20-30 % of EGFR-mutated cases showed no response to EGFR-TKIs, suggesting that other determinants beyond EGFR mutation likely exist. This study analyzed the role of microRNAs (miRNAs) in primary resistance to EGFR-TKIs in advanced NSCLC patients with EGFR mutation. Training group: 20 advanced NSCLC patients with EGFR 19 deletion treated with first-line EGFR-TKIs were enrolled; half of them had dramatic responses while the other half had primary resistance. Matched plasma samples were collected for miRNA profiling using TaqMan low-density array (TLDA). Bioinformatics analyses were used to identify related miRNAs possibly accounted for resistance. Testing group: Quantitative reverse transcriptase PCR (qRT-PCR) was employed to detect the level of miRNA with significant differential expression in the training set. Validation group: Another cohort with EGFR 19 deletion mutations, who had dramatically different responses to EGFR-TKI, was used to validate the difference of miRNA expression between the sensitive and resistant groups using RT-PCR. Training group: 153 miRNAs were found to be differentially expressed between the sensitive and resistant groups. Potential target genes were predicted with a target scan database. Twelve differentially expressed miRNAs were selected for the analysis because of their known roles in tumorigenesis of lung cancer, resistance to drugs, and regulation of EGFR pathway. Training group: three out of the 12 miRNAs (miR-21, AmiR-27a, and miR-218) were verified to have significantly higher expression (P miR-21 = 0.004, P miR-27a = 0.009, P miR-218 = 0.041, respectively) in the resistant group compared to the sensitive group. Validation group: The expression levels of these three miRNAs were validated to be significantly different (P = 0.011, 0.011, 0.026, respectively) in the validation cohort (n = 34). Higher expression levels of miR-21, AmiR-27a, and miR-218 detected in this study suggest potential roles of these miRNAs in primary resistance to EGFR-TKI in advanced NSCLC patients with EGFR exon 19 deletion mutations. These findings need to be further confirmed in a study with a larger sample size.

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The data shown below were collected from the profiles of 3 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 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Belgium 1 2%
Unknown 63 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 17%
Researcher 10 16%
Student > Master 9 14%
Student > Bachelor 6 9%
Other 5 8%
Other 12 19%
Unknown 11 17%
Readers by discipline Count As %
Medicine and Dentistry 18 28%
Biochemistry, Genetics and Molecular Biology 9 14%
Agricultural and Biological Sciences 7 11%
Pharmacology, Toxicology and Pharmaceutical Science 3 5%
Neuroscience 2 3%
Other 6 9%
Unknown 19 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 20 January 2016.
All research outputs
#13,958,854
of 22,832,057 outputs
Outputs from Journal of Hematology & Oncology
#654
of 1,192 outputs
Outputs of similar age
#141,041
of 282,576 outputs
Outputs of similar age from Journal of Hematology & Oncology
#12
of 22 outputs
Altmetric has tracked 22,832,057 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,192 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.7. This one is in the 43rd percentile – i.e., 43% 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 282,576 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.