Genomic Profiling of Lung Adenocarcinoma in Never-Smokers

Author(s):  
Siddhartha Devarakonda ◽  
Yize Li ◽  
Fernanda Martins Rodrigues ◽  
Sumithra Sankararaman ◽  
Humam Kadara ◽  
...  

PURPOSE Approximately 10%-40% of patients with lung cancer report no history of tobacco smoking (never-smokers). We analyzed whole-exome and RNA-sequencing data of 160 tumor and normal lung adenocarcinoma (LUAD) samples from never-smokers to identify clinically actionable alterations and gain insight into the environmental and hereditary risk factors for LUAD among never-smokers. METHODS We performed whole-exome and RNA-sequencing of 88 and 69 never-smoker LUADs. We analyzed these data in conjunction with data from 76 never-smoker and 299 smoker LUAD samples sequenced by The Cancer Genome Atlas and Clinical Proteomic Tumor Analysis Consortium. RESULTS We observed a high prevalence of clinically actionable driver alterations in never-smoker LUADs compared with smoker LUADs (78%-92% v 49.5%; P < .0001). Although a subset of never-smoker samples demonstrated germline alterations in DNA repair genes, the frequency of samples showing germline variants in cancer predisposing genes was comparable between smokers and never-smokers (6.4% v 6.9%; P = .82). A subset of never-smoker samples (5.9%) showed mutation signatures that were suggestive of passive exposure to cigarette smoke. Finally, analysis of RNA-sequencing data showed distinct immune transcriptional subtypes of never-smoker LUADs that varied in their expression of clinically relevant immune checkpoint molecules and immune cell composition. CONCLUSION In this comprehensive genomic and transcriptome analysis of never-smoker LUADs, we observed a potential role for germline variants in DNA repair genes and passive exposure to cigarette smoke in the pathogenesis of a subset of never-smoker LUADs. Our findings also show that clinically actionable driver alterations are highly prevalent in never-smoker LUADs, highlighting the need for obtaining biopsies with adequate cellularity for clinical genomic testing in these patients.

2021 ◽  
Author(s):  
Ye Zhao ◽  
Hai-Ming Feng ◽  
Xiao-Ping Wei ◽  
Wei-Jian Yan ◽  
Bin Li ◽  
...  

Abstract Reactive Oxygen Species (ROS) are present in high amount in patients with tumors, and these ROS can kill and destroy tumor cells. Thus, tumor cells upregulate ROS-related genes to protect themselves and reduce their destruction. Cancer cells already damaged by ROS can be repaired by expressing DNA repair genes consequently promoting their proliferation. In this work, lung adenocarcinoma (LUAD) transcriptome data in the TCGA database was analyzed and samples were clustered into 5 ROS-related categories and 6 DNA repair categories. Survival analysis revealed a significant difference in patient survival between the two classification methods. In addition, the samples corresponding to the two categories overlap, thus, the gene expression profile of the same sample with different categories and survival prognosis was further explored, and the connection between ROS-related genes and DNA repair genes was investigated. The interactive sample recombination classification was used, revealing that the patient's prognosis was worse when the ROS-related genes and DNA repair genes were expressed at the same time. The further research on the potential regulatory network of the two categories of genes and the correlation analysis revealed that ROS-related genes and DNA repair genes have a mutual regulatory relationship. The ROS-related genes NQO1, TXNRD1, and PRDX4 could establish links with other DNA repair genes through the DNA repair gene NEIL3, thereby increasing the growth of tumor cells and balancing the level of ROS, leading to tumor cell death and constant damage to the tumor cell repair system, thus prolonging patient survival. Thus, targeting ROS-related genes and DNA repair genes might be a promising strategy in the treatment of LUAD. Finally, a survival prognostic model of ROS-related genes and DNA repair genes was established (TERT, PRKDC, PTTG1, SMUG1, TXNRD1, CAT, H2AFX and PFKP), the risk score might be used as an independent prognostic factor in LUAD patients.


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Author(s):  
Zhihua Yin ◽  
Baosen Zhou ◽  
Qincheng He ◽  
Mingchuan Li ◽  
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...  

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Vol 12 (11) ◽  
pp. 1673-1678 ◽  
Author(s):  
Erin M. Parry ◽  
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Susan E. Stanley ◽  
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Oncotarget ◽  
2017 ◽  
Vol 9 (8) ◽  
pp. 7949-7960 ◽  
Author(s):  
Young Kwang Chae ◽  
Jonathan F. Anker ◽  
Preeti Bais ◽  
Sandeep Namburi ◽  
Francis J. Giles ◽  
...  

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