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Optimization of Routine Testing for MET Exon 14 Splice Site Mutations in NSCLC Patients

Overview of attention for article published in Journal of Thoracic Oncology, September 2018
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (69th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (63rd percentile)

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2 X users
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1 patent
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1 Facebook page

Citations

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31 Dimensions

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38 Mendeley
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Title
Optimization of Routine Testing for MET Exon 14 Splice Site Mutations in NSCLC Patients
Published in
Journal of Thoracic Oncology, September 2018
DOI 10.1016/j.jtho.2018.08.2023
Pubmed ID
Authors

Clotilde Descarpentries, Frédéric Leprêtre, Fabienne Escande, Zoulika Kherrouche, Martin Figeac, Shéhérazade Sebda, Simon Baldacci, Valérie Grégoire, Philippe Jamme, Marie-Christine Copin, David Tulasne, Alexis B Cortot

Abstract

Genomic alterations affecting splice sites of MET exon 14 were recently identified in non-small cell lung cancer (NSCLC) patients. Objective responses to MET tyrosine kinase inhibitors have been reported in these patients. Thus, detection of MET exon 14 splice site mutations represents a major challenge. So far, most of these alterations were found by full-exome sequencing or large capture-based NGS panels, which are not suitable for routine diagnosis. Aiming to provide a molecular testing method applicable in routine practice, we first developed a fragment-length analysis for detecting deletions in introns flanking MET exon 14. Second, we designed an optimized targeted next generation sequencing (NGS) panel called CLAPv1, covering the MET exon 14 and flanking regions in addition to the main molecular targets usually covered in genomic testing. In patients with MET exon 14 mutations, MET gene amplification, gene copy number and MET receptor expression were also determined. Among 1514 formalin-fixed paraffin-embedded NSCLC samples, non optimized NGS allowed detection of MET exon 14 mutations in only 0.3% of the patients, and fragment length analysis detected deletions in 1.1% of the patients. Combined, the optimized CLAPv1 panel and fragment length analysis implemented for routine molecular testing revealed MET exon 14 alterations in 2.2% of 365 additional NSCLC patients. MET gene amplification or high gene copy number were observed in 6 out of 30 patients (20%) harboring MET exon 14 mutations. These results demonstrate that optimized targeted NGS and fragment-length analysis improve detection of MET alterations in routine practice.

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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 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 %
Researcher 7 18%
Student > Bachelor 5 13%
Other 3 8%
Student > Postgraduate 3 8%
Student > Master 2 5%
Other 3 8%
Unknown 15 39%
Readers by discipline Count As %
Medicine and Dentistry 9 24%
Biochemistry, Genetics and Molecular Biology 8 21%
Pharmacology, Toxicology and Pharmaceutical Science 2 5%
Engineering 2 5%
Chemistry 2 5%
Other 3 8%
Unknown 12 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 23 January 2024.
All research outputs
#6,498,682
of 25,385,509 outputs
Outputs from Journal of Thoracic Oncology
#1,063
of 3,511 outputs
Outputs of similar age
#105,508
of 346,007 outputs
Outputs of similar age from Journal of Thoracic Oncology
#26
of 72 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 3,511 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.3. This one has gotten more attention than average, scoring higher than 69% 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 346,007 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.
We're also able to compare this research output to 72 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 63% of its contemporaries.