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Improved EGFR mutation detection using combined exosomal RNA and circulating tumor DNA in NSCLC patient plasma

Overview of attention for article published in Annals of Oncology, December 2017
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (95th percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

news
2 news outlets
policy
1 policy source
twitter
49 X users
facebook
1 Facebook page

Citations

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188 Dimensions

Readers on

mendeley
210 Mendeley
Title
Improved EGFR mutation detection using combined exosomal RNA and circulating tumor DNA in NSCLC patient plasma
Published in
Annals of Oncology, December 2017
DOI 10.1093/annonc/mdx765
Pubmed ID
Authors

A.K. Krug, D. Enderle, C. Karlovich, T. Priewasser, S. Bentink, A. Spiel, K. Brinkmann, J. Emenegger, D.G. Grimm, E. Castellanos-Rizaldos, J.W. Goldman, L.V. Sequist, J.-C. Soria, D.R. Camidge, S.M. Gadgeel, H.A. Wakelee, M. Raponi, M. Noerholm, J. Skog

Abstract

A major limitation of circulating tumor DNA (ctDNA) for somatic mutation detection has been the low level of ctDNA found in a subset of cancer patients. We investigated whether using a combined isolation of exosomal RNA (exoRNA) and cell-free DNA (cfDNA) could improve blood-based liquid biopsy for EGFR mutation detection in NSCLC patients. Matched pretreatment tumor and plasma were collected from 84 patients enrolled in TIGER-X (NCT01526928), a Ph1/2 study of rociletinib in mutant EGFR NSCLC patients. The combined isolated exoRNA and cfDNA (exoNA) was analyzed for mutations using a targeted NGS panel (EXO1000), and compared to existing data from the same samples using analysis of ctDNA by BEAMing. For exoNA, the sensitivity was 98% for detection of activating EGFR mutations and 90% for EGFR T790M. The corresponding sensitivities for ctDNA by BEAMing were 82% for activating mutations and 84% for T790M. In a subgroup of patients with intrathoracic metastatic disease (M0/M1a; n = 21), the sensitivity increased from 26% to 74% for activating mutations (p = 0.003) and from 19% to 31% for T790M (p = 0.5) when using exoNA for detection. Combining exoRNA and ctDNA increased the sensitivity for EGFR mutation detection in plasma, with the largest improvement seen in the subgroup of M0/M1a disease patients known to have low levels of ctDNA which poses challenges for ctDNA-only based mutation detection. NCT01526928.

X Demographics

X Demographics

The data shown below were collected from the profiles of 49 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 210 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 210 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 34 16%
Researcher 30 14%
Other 14 7%
Student > Master 12 6%
Student > Bachelor 10 5%
Other 28 13%
Unknown 82 39%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 50 24%
Medicine and Dentistry 31 15%
Agricultural and Biological Sciences 17 8%
Engineering 8 4%
Chemistry 5 2%
Other 14 7%
Unknown 85 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 49. 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 November 2023.
All research outputs
#857,893
of 25,382,440 outputs
Outputs from Annals of Oncology
#366
of 7,859 outputs
Outputs of similar age
#19,311
of 445,802 outputs
Outputs of similar age from Annals of Oncology
#14
of 172 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,859 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.6. This one has done particularly well, scoring higher than 95% 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 445,802 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 172 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.