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Lung Adenocarcinoma of Never Smokers and Smokers Harbor Differential Regions of Genetic Alteration and Exhibit Different Levels of Genomic Instability

Overview of attention for article published in PLOS ONE, March 2012
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Title
Lung Adenocarcinoma of Never Smokers and Smokers Harbor Differential Regions of Genetic Alteration and Exhibit Different Levels of Genomic Instability
Published in
PLOS ONE, March 2012
DOI 10.1371/journal.pone.0033003
Pubmed ID
Authors

Kelsie L. Thu, Emily A. Vucic, Raj Chari, Wei Zhang, William W. Lockwood, John C. English, Rong Fu, Pei Wang, Ziding Feng, Calum E. MacAulay, Adi F. Gazdar, Stephen Lam, Wan L. Lam

Abstract

Recent evidence suggests that the observed clinical distinctions between lung tumors in smokers and never smokers (NS) extend beyond specific gene mutations, such as EGFR, EML4-ALK, and KRAS, some of which have been translated into targeted therapies. However, the molecular alterations identified thus far cannot explain all of the clinical and biological disparities observed in lung tumors of NS and smokers. To this end, we performed an unbiased genome-wide, comparative study to identify novel genomic aberrations that differ between smokers and NS. High resolution whole genome DNA copy number profiling of 69 lung adenocarcinomas from smokers (n = 39) and NS (n = 30) revealed both global and regional disparities in the tumor genomes of these two groups. We found that NS lung tumors had a greater proportion of their genomes altered than those of smokers. Moreover, copy number gains on chromosomes 5q, 7p, and 16p occurred more frequently in NS. We validated our findings in two independently generated public datasets. Our findings provide a novel line of evidence distinguishing genetic differences between smoker and NS lung tumors, namely, that the extent of segmental genomic alterations is greater in NS tumors. Collectively, our findings provide evidence that these lung tumors are globally and genetically different, which implies they are likely driven by distinct molecular mechanisms.

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Geographical breakdown

Country Count As %
United States 2 4%
Unknown 54 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 20%
Student > Ph. D. Student 10 18%
Student > Bachelor 9 16%
Professor > Associate Professor 5 9%
Student > Postgraduate 4 7%
Other 10 18%
Unknown 7 13%
Readers by discipline Count As %
Medicine and Dentistry 16 29%
Agricultural and Biological Sciences 15 27%
Biochemistry, Genetics and Molecular Biology 8 14%
Computer Science 3 5%
Engineering 2 4%
Other 5 9%
Unknown 7 13%