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The non-small cell lung cancer EGFR extracellular domain mutation, M277E, is oncogenic and drug-sensitive

Overview of attention for article published in OncoTargets and therapy, September 2017
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  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

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2 X users
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1 Facebook page

Citations

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14 Dimensions

Readers on

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31 Mendeley
Title
The non-small cell lung cancer EGFR extracellular domain mutation, M277E, is oncogenic and drug-sensitive
Published in
OncoTargets and therapy, September 2017
DOI 10.2147/ott.s131999
Pubmed ID
Authors

Su Yu, Yang Zhang, Yunjian Pan, Chao Cheng, Yihua Sun, Haiquan Chen

Abstract

To identify novel oncogenic mutations in non-small cell lung cancer patient specimens that lack mutations in known targetable genes ("pan-negative" patients). Comprehensive mutational analyses were performed on 1,356 lung adenocarcinoma specimens. In this cohort of patients, common lung cancer oncogenic driver mutations were detected in the epidermal growth factor receptor (EGFR) kinase domain, the human epidermal growth factor receptor 2 kinase domain, as well as the KRAS, BRAF, ALK, ROS1 and RET genes. A sub-cohort of pan-negative patient specimens was assayed for mutations in the EGFR extracellular domain (ECD). Additionally, EGFR mutant NIH-3T3 stable cell lines were constructed and assessed for protein content, anchorage-independent growth, and tumor formation in xenograft models to identify oncogenic mutations. BaF3 lymphocytes were also used to test sensitivities of the mutations to tyrosine kinase inhibitors. In pan-negative lung adenocarcinoma cases, a novel oncogenic EGFR ECD mutation was identified (M277E). EGFR M277E mutations encoded oncoproteins that transformed NIH-3T3 cells to grow in the absence of exogenous epidermal growth factor. Transformation was further evidenced by anchorage-independent growth and tumor formation in immunocompromised xenograft mouse models. Finally, as seen in the canonical EGFR L858R mutation, the M277E mutation conferred sensitivity to both erlotinib and cetuximab in BaF3 cell lines and to erlotinib in xenograft models. Here, a new EGFR driver mutation, M277E, was identified in the ECD of a lung adenocarcinoma specimen. For patients with M277E-mutant lung adenocarcinoma who experienced disease recurrence, treatment with an EGFR tyrosine kinase inhibitor may predict good prognosis.

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 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 31 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 23%
Other 3 10%
Student > Bachelor 2 6%
Professor > Associate Professor 2 6%
Student > Ph. D. Student 2 6%
Other 3 10%
Unknown 12 39%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 8 26%
Pharmacology, Toxicology and Pharmaceutical Science 4 13%
Medicine and Dentistry 3 10%
Agricultural and Biological Sciences 2 6%
Computer Science 1 3%
Other 2 6%
Unknown 11 35%
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 21 September 2017.
All research outputs
#15,745,807
of 25,382,440 outputs
Outputs from OncoTargets and therapy
#838
of 3,016 outputs
Outputs of similar age
#177,806
of 324,453 outputs
Outputs of similar age from OncoTargets and therapy
#27
of 75 outputs
Altmetric has tracked 25,382,440 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 3,016 research outputs from this source. They receive a mean Attention Score of 2.9. This one has gotten more attention than average, scoring higher than 70% of its peers.
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 324,453 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 75 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 60% of its contemporaries.