Abstract 2214: The genomic landscape of lung cancer in post-menopausal never-smoker women

2021 ◽  
Author(s):  
Sitapriya Moorthi ◽  
Amy Paguirigan ◽  
Garnet Anderson ◽  
Gavin Ha ◽  
Alice Berger
Keyword(s):  
Lung Cancer ◽  
Genomic Landscape ◽  
Post Menopausal ◽  
Never Smoker

Genomic landscape differences in patients with advanced non-small cell lung cancer by sex and age.

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. 9108-9108
Author(s):  
ErinMarie Kimbrough ◽  
Hiba I. Dada ◽  
Leylah Drusbosky ◽  
Yujie Zhao ◽  
Rami Manochakian ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Small Cell Lung Cancer ◽  
Cell Lung Cancer ◽  
Advanced Nsclc ◽  
Age Groups ◽  
Small Cell ◽  
Egfr Mutations ◽  
Small Cell Lung ◽  
Genomic Alterations ◽  
Genomic Landscape

9108 Background: Non-small cell lung cancer (NSCLC) remains a leading cause of cancer-related death in the U.S. The median age at diagnosis is 70 years, and NSCLC is uncommon among younger individuals ( < 50 years).Overall, outcomes in NSCLC have improved significantly with targeted therapy. A prior study demonstrated patients < 50 are more likely to have targetable alterations including EGFR, ALK, ERBB2, and ROS1. Another study reported an increased prevalence of EGFR mutations in females and KRAS mutations in males with NSCLC. The comprehensive genomic landscape of NSCLC patients in different age groups and genders remains largely unknown. In our study, we aim to investigate the genomic alterations in patients with advanced NSCLC according to age and sex. Efforts that are focused on identifying targetable alterations in NSCLC will likely help personalize treatment and improve outcomes. Methods: We performed a retrospective review of de-identified data from the Guardant Health database from March 2018 through October 2020. We reviewed 34,237 profiles from patients with NSCLC who underwent molecular profiling using the plasma-based circulating-tumor DNA (ctDNA) Next-Generation Sequencing (NGS) assay Guardant360. Single nucleotide variants (SNV), fusions, indels and copy number variations (CNV) of up to 83 genes were analyzed. We assessed for genomic differences among patients with advanced NSCLC by both sex and age (≥70 and < 70). We conducted two-tailed tests of equality of proportions comparing males to females and ≥70 to < 70. Results: Of the 34,237 profiles reviewed, somatic alterations were seen in 81.7% (n = 27,972) of the patients. The median age was 70 (range 16-102) and 55% were female. Our study demonstrated that the most common genomic alterations in both age groups and genders were TP53, EGFR, KRAS, ATM, and MET. Patients ≥70 were more likely to have ATM (21% versus 14%, p < 0.0001) and MET (12% versus 10 %, p < 0.0001) mutations than those < 70. Patients < 70 were more likely to have EGFR (30% versus 27%, p < 0.0001), STK11 (14% versus 11%, p = 0.0056), and KRAS (26% versus 24%, p < 0.0001) alterations. EGFR was seen more frequently in females (33% versus 26%, p < 0.0001). ATM (11% versus 6%, p < 0.0001) and MET (8% versus 5%, p = 0.0050) were seen more frequently in males. Conclusions: Significant differences in the distribution of targetable genomic alterations were identified among different age groups and genders in patients with advanced NSCLC. These findings highlight the importance of taking personalized approaches to diagnostic testing and treatment of advanced NSCLC.

Bringing the genomic landscape of small-cell lung cancer into focus

2012 ◽  
Vol 44 (10) ◽  
pp. 1074-1075 ◽  
Author(s):  
M Catherine Pietanza ◽  
Marc Ladanyi
Keyword(s):  
Lung Cancer ◽  
Small Cell Lung Cancer ◽  
Cell Lung Cancer ◽  
Small Cell ◽  
Small Cell Lung ◽  
Genomic Landscape

Abstract PR12: Genomic landscape of immunotherapy resistance in lung cancer

2020 ◽  
Author(s):  
Denise Lau ◽  
Michelle Stein ◽  
Jason Perera ◽  
Madhavi Kannan ◽  
Aly Khan
Keyword(s):  
Lung Cancer ◽  
Genomic Landscape

scholarly journals Prominent immune suppressive tumor microenvironment in female never-smoker lung cancer patients with EGFR mutations

2017 ◽  
Vol 28 ◽  
pp. v574 ◽  
Author(s):  
B. Park ◽  
D-E. Ryu ◽  
H.K. Kim ◽  
J.H. Cho ◽  
J. Lee ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Tumor Microenvironment ◽  
Cancer Patients ◽  
Egfr Mutations ◽  
Lung Cancer Patients ◽  
Never Smoker
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