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The genomic landscape of lung cancer in never-smokers from the Women’s Health Initiative
Sitapriya Moorthi, Amy Paguirigan, Pushpa Itagi, Minjeong Ko, Mary Pettinger, Anna C.H. Hoge, Anwesha Nag, Neil A. Patel, Feinan Wu, Cassie Sather, Kevin M. Levine, Matthew P. Fitzgibbon, Aaron R. Thorner, Garnet L. Anderson, Gavin Ha, Alice H. Berger
Sitapriya Moorthi, Amy Paguirigan, Pushpa Itagi, Minjeong Ko, Mary Pettinger, Anna C.H. Hoge, Anwesha Nag, Neil A. Patel, Feinan Wu, Cassie Sather, Kevin M. Levine, Matthew P. Fitzgibbon, Aaron R. Thorner, Garnet L. Anderson, Gavin Ha, Alice H. Berger
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Research Article Genetics Therapeutics

The genomic landscape of lung cancer in never-smokers from the Women’s Health Initiative

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Abstract

Over 200,000 individuals are diagnosed with lung cancer in the United States every year, with a growing proportion of cases, especially lung adenocarcinoma, occurring in individuals who have never smoked. Women over the age of 50 comprise the largest affected demographic. To understand the genomic drivers of lung adenocarcinoma and therapeutic response in this population, we performed whole genome and/or whole exome sequencing on 73 matched lung tumor/normal pairs from postmenopausal women who participated in the Women’s Health Initiative. Somatic copy number alterations showed little variation by smoking status, suggesting that aneuploidy may be a general characteristic of lung cancer regardless of smoke exposure. Similarly, clock-like and APOBEC mutation signatures were prevalent but did not differ in tumors from smokers and never-smokers. However, mutations in both EGFR and KRAS showed unique allelic differences determined by smoking status that are known to alter tumor response to targeted therapy. Mutations in the MYC-network member MGA were more prevalent in tumors from smokers. Fusion events in ALK, RET, and ROS1 were absent, likely due to age-related differences in fusion prevalence. Our work underscores the profound effect of smoking status, age, and sex on the tumor mutational landscape and identifies areas of unmet medical need.

Authors

Sitapriya Moorthi, Amy Paguirigan, Pushpa Itagi, Minjeong Ko, Mary Pettinger, Anna C.H. Hoge, Anwesha Nag, Neil A. Patel, Feinan Wu, Cassie Sather, Kevin M. Levine, Matthew P. Fitzgibbon, Aaron R. Thorner, Garnet L. Anderson, Gavin Ha, Alice H. Berger

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Figure 4

Somatic copy number changes do not differentiate tumors from never-/light smokers and heavy smokers.

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Somatic copy number changes do not differentiate tumors from never-/ligh...
(A and B) Ploidy of tumors from the WHI cohort or TCGA cohort. (C and D) Fraction genome altered (FGA) of from the WHI cohort or MSK cohort. (E) Genome-wide frequency of amplifications and deletions in never-/light smokers (gray/top panels) and heavy smokers (blue/bottom panels) across all 23 chromosomes. Mann-Whitney U test was used to evaluate significant difference in ploidy and FGA between groups. Cosine similarity was calculated between both smoking groups for amplifications (top) and deletions (bottom).

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