Immune/inflammatory polymorphisms predict lung cancer survival
Recommended Citation
Watza D, Lusk C, Wenzlaff A, Neslund-Dudas C, Dyson G, Soubani A, Gadgeel S, and Schwartz AG. Immune/inflammatory polymorphisms predict lung cancer survival. Cancer Res 2017; 77(13).
Document Type
Conference Proceeding
Publication Date
7-1-2017
Publication Title
Cancer Res
Abstract
Lung cancer is the leading cause of cancer related mortality in the United States, with a median five year survival of ~16%. Recent advancements in the treatment of lung cancer focus on modulating the immune system to improve patient outcomes with markedly reduced toxicity profiles. This study aims to investigate single nucleotide polymorphisms (SNPs) within functional units of the immune system genome to identify genetic markers indicative of overall survival in a cohort of metropolitan Detroit lung cancer patients. This cohort presents a unique population of lung cancer patients for analysis, consisting of 40% African Americans, whom are known to have worse outcomes than their Caucasian counterparts. To assess SNPs within functional units of the immune genome, a hierarchical immune system gene and pathway list was constructed, incorporating genes and pathway identifiers from the Reactome database as well as previous genetic and inflammatory specific cancer studies to generate a well curated gene and pathway dataset. Genomic locations for the genes, together with proximal regulatory regions, were obtained from the UCSC genome browser for cross-referencing with the Illumina MEGA SNP array to generate SNPs for inclusion. Preliminary analysis of 848 NSCLC patients in association with 29,126 immune specific SNPs identified six SNPs as significantly associated with survival (p-value <10-4) in this lung cancer cohort, implicating the following six genes, PXN, GFRA3, HLA-DQA1, KSR2, BTBD1, and ATF2; although further gene/pathway analysis is necessary to elucidate how these associations interact in the context of genes and pathways of the immune system. PXN over expression has been previously implicated in both high risk lung epithelial dysplasia as well as in the development of lung adenocarcinoma in prior clinical studies. Additionally, GFRA3 has been identified as an activator of the RET kinase and increased GFRA3 activity in context of the Artemin pathway is a known promoter of NSCLC progression. As well, select polymorphisms in the HLA-DQA1 gene are known clinical modifiers of lung squamous cell carcinoma risk. Finally, ATF2 is a broadly active transcription factor and ATF2 upregulation has been associated with tumorigenesis and metastasis in both cell models and patient tumor samples in multiple cancer studies. The previous association of these genes in lung cancer is promising and further immune system gene/pathway analysis is warranted.
Volume
77
Issue
Supplement 13