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Transformation from non-small-cell lung cancer to small-cell lung cancer: molecular drivers and cells of origin

Overview of attention for article published in Lancet Oncology, April 2015
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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 (90th percentile)

Mentioned by

news
3 news outlets
twitter
21 X users
patent
1 patent
facebook
3 Facebook pages

Citations

dimensions_citation
716 Dimensions

Readers on

mendeley
435 Mendeley
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Title
Transformation from non-small-cell lung cancer to small-cell lung cancer: molecular drivers and cells of origin
Published in
Lancet Oncology, April 2015
DOI 10.1016/s1470-2045(14)71180-5
Pubmed ID
Authors

Matthew G Oser, Matthew J Niederst, Lecia V Sequist, Jeffrey A Engelman

Abstract

Lung cancer is the most common cause of cancer deaths worldwide. The two broad histological subtypes of lung cancer are small-cell lung cancer (SCLC), which is the cause of 15% of cases, and non-small-cell lung cancer (NSCLC), which accounts for 85% of cases and includes adenocarcinoma, squamous-cell carcinoma, and large-cell carcinoma. Although NSCLC and SCLC are commonly thought to be different diseases owing to their distinct biology and genomic abnormalities, the idea that these malignant disorders might share common cells of origin has been gaining support. This idea has been supported by the unexpected findings that a subset of NSCLCs with mutated EGFR return as SCLC when resistance to EGFR tyrosine kinase inhibitors develops. Additionally, other case reports have described the coexistence of NSCLC and SCLC, further challenging the commonly accepted view of their distinct lineages. Here, we summarise the published clinical observations and biology underlying tumours with combined SCLC and NSCLC histology and cancers that transform from adenocarcinoma to SCLC. We also discuss pre-clinical studies pointing to common potential cells of origin, and speculate how the distinct paths of differentiation are determined by the genomics of each disease.

X Demographics

X Demographics

The data shown below were collected from the profiles of 21 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 435 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 <1%
United Kingdom 1 <1%
Japan 1 <1%
Unknown 431 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 74 17%
Researcher 62 14%
Student > Master 53 12%
Student > Bachelor 42 10%
Student > Doctoral Student 27 6%
Other 61 14%
Unknown 116 27%
Readers by discipline Count As %
Medicine and Dentistry 110 25%
Biochemistry, Genetics and Molecular Biology 95 22%
Agricultural and Biological Sciences 56 13%
Pharmacology, Toxicology and Pharmaceutical Science 12 3%
Computer Science 8 2%
Other 26 6%
Unknown 128 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 37. 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 September 2022.
All research outputs
#1,086,268
of 25,371,288 outputs
Outputs from Lancet Oncology
#1,291
of 6,881 outputs
Outputs of similar age
#13,641
of 279,164 outputs
Outputs of similar age from Lancet Oncology
#16
of 163 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,881 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 35.2. This one has done well, scoring higher than 81% 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 279,164 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 163 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 90% of its contemporaries.