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Prospective Comprehensive Molecular Characterization of Lung Adenocarcinomas for Efficient Patient Matching to Approved and Emerging Therapies

Overview of attention for article published in Cancer Discovery, June 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 (97th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

news
7 news outlets
blogs
1 blog
twitter
51 X users
patent
4 patents
video
1 YouTube creator

Citations

dimensions_citation
515 Dimensions

Readers on

mendeley
355 Mendeley
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Title
Prospective Comprehensive Molecular Characterization of Lung Adenocarcinomas for Efficient Patient Matching to Approved and Emerging Therapies
Published in
Cancer Discovery, June 2017
DOI 10.1158/2159-8290.cd-16-1337
Pubmed ID
Authors

Emmet J Jordan, Hyunjae R Kim, Maria E Arcila, David Barron, Debyani Chakravarty, JianJiong Gao, Matthew T Chang, Andy Ni, Ritika Kundra, Philip Jonsson, Gowtham Jayakumaran, Sizhi Paul Gao, Hannah C Johnsen, Aphrothiti J Hanrahan, Ahmet Zehir, Natasha Rekhtman, Michelle S Ginsberg, Bob T Li, Helena A Yu, Paul K Paik, Alexander Drilon, Matthew D Hellmann, Dalicia N Reales, Ryma Benayed, Valerie W Rusch, Mark G Kris, Jamie E Chaft, José Baselga, Barry S Taylor, Nikolaus Schultz, Charles M Rudin, David M Hyman, Michael F Berger, David B Solit, Marc Ladanyi, Gregory J Riely

Abstract

Tumor genetic testing is standard of care for patients with advanced lung adenocarcinoma but the fraction of patients who derive clinical benefit remains undefined. Here, we report the experience of 860 patients with metastatic lung adenocarcinoma analyzed prospectively for mutations in >300 cancer-associated genes. Potentially actionable genetic events were stratified into one of four levels based upon published clinical or laboratory evidence that the mutation in question confers increased sensitivity to standard or investigational therapies. Overall 37.1% (319/860) of patients received a matched therapy guided by their tumor molecular profile. Excluding alterations associated with standard of care therapy, 14.4% (69/478) received matched therapy with a clinical benefit of 52%. Use of matched therapy was strongly influenced by the level of pre-existent clinical evidence that the mutation identified predicts for drug response. Analysis of genes mutated significantly more often in tumors without known actionable mutations nominated STK11 and KEAP1 as possible targetable mitogenic drivers.

X Demographics

X Demographics

The data shown below were collected from the profiles of 51 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 355 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
Czechia 1 <1%
Unknown 353 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 67 19%
Student > Ph. D. Student 50 14%
Other 32 9%
Student > Master 25 7%
Student > Bachelor 17 5%
Other 50 14%
Unknown 114 32%
Readers by discipline Count As %
Medicine and Dentistry 98 28%
Biochemistry, Genetics and Molecular Biology 78 22%
Agricultural and Biological Sciences 25 7%
Computer Science 5 1%
Engineering 5 1%
Other 24 7%
Unknown 120 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 92. 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 03 April 2024.
All research outputs
#468,567
of 25,632,496 outputs
Outputs from Cancer Discovery
#238
of 4,093 outputs
Outputs of similar age
#9,665
of 331,230 outputs
Outputs of similar age from Cancer Discovery
#4
of 89 outputs
Altmetric has tracked 25,632,496 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,093 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.9. This one has done particularly well, scoring higher than 94% 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 331,230 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 97% of its contemporaries.
We're also able to compare this research output to 89 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 95% of its contemporaries.