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Intertumoral Heterogeneity in SCLC Is Influenced by the Cell Type of Origin

Overview of attention for article published in Cancer Discovery, October 2018
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (91st percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

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Title
Intertumoral Heterogeneity in SCLC Is Influenced by the Cell Type of Origin
Published in
Cancer Discovery, October 2018
DOI 10.1158/2159-8290.cd-17-0987
Pubmed ID
Authors

Dian Yang, Sarah K Denny, Peyton G Greenside, Andrea C Chaikovsky, Jennifer J Brady, Youcef Ouadah, Jeffrey M Granja, Nadine S Jahchan, Jing Shan Lim, Shirley Kwok, Christina S Kong, Anna S Berghoff, Anna Schmitt, H Christian Reinhardt, Kwon-Sik Park, Matthias Preusser, Anshul Kundaje, William J Greenleaf, Julien Sage, Monte M Winslow

Abstract

The extent to which early events shape tumor evolution is largely uncharacterized, even though a better understanding of these early events may help identify key vulnerabilities in advanced tumors. Here, using genetically defined mouse models of small cell lung cancer (SCLC), we uncovered distinct metastatic programs attributable to the cell type of origin. In one model, tumors gain metastatic ability through amplification of the transcription factor NFIB and a widespread increase in chromatin accessibility, whereas in the other model, tumors become metastatic in the absence of NFIB-driven chromatin alterations. Gene-expression and chromatin accessibility analyses identify distinct mechanisms as well as markers predictive of metastatic progression in both groups. Underlying the difference between the two programs was the cell type of origin of the tumors, with NFIB-independent metastases arising from mature neuroendocrine cells. Our findings underscore the importance of the identity of cell type of origin in influencing tumor evolution and metastatic mechanisms.SIGNIFICANCE: We show that SCLC can arise from different cell types of origin, which profoundly influences the eventual genetic and epigenetic changes that enable metastatic progression. Understanding intertumoral heterogeneity in SCLC, and across cancer types, may illuminate mechanisms of tumor progression and uncover how the cell type of origin affects tumor evolution. Cancer Discov; 8(10); 1-16. ©2018 AACR.See related commentary by Pozo et al., p. 1216.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 157 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 157 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 37 24%
Researcher 30 19%
Student > Postgraduate 9 6%
Student > Bachelor 8 5%
Student > Doctoral Student 7 4%
Other 20 13%
Unknown 46 29%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 60 38%
Medicine and Dentistry 15 10%
Agricultural and Biological Sciences 12 8%
Computer Science 4 3%
Engineering 3 2%
Other 11 7%
Unknown 52 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 29. 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 25 October 2019.
All research outputs
#1,366,187
of 25,559,053 outputs
Outputs from Cancer Discovery
#687
of 4,079 outputs
Outputs of similar age
#28,935
of 355,436 outputs
Outputs of similar age from Cancer Discovery
#20
of 103 outputs
Altmetric has tracked 25,559,053 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,079 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.6. This one has done well, scoring higher than 83% 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 355,436 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 91% of its contemporaries.
We're also able to compare this research output to 103 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.