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Genetic variants of BIRC3 and NRG1 in the NLRP3 inflammasome pathway are associated with non-small cell lung cancer survival.

dc.contributor.author Tang, Dongfang
dc.contributor.author Liu, Hongliang
dc.contributor.author Zhao, Yuchen
dc.contributor.author Qian, Danwen
dc.contributor.author Luo, Sheng
dc.contributor.author Patz, Edward F
dc.contributor.author Su, Li
dc.contributor.author Shen, Sipeng
dc.contributor.author ChristianI, David C
dc.contributor.author Gao, Wen
dc.contributor.author Wei, Qingyi
dc.date.accessioned 2020-10-01T14:38:54Z
dc.date.available 2020-10-01T14:38:54Z
dc.date.issued 2020-01
dc.identifier.issn 2156-6976
dc.identifier.issn 2156-6976
dc.identifier.uri https://hdl.handle.net/10161/21561
dc.description.abstract The nod-like receptor protein 3 (NLRP3) is one of the most characterized inflammasomes, and its genetic variation and functional dysregulation are involved in pathogenesis of several cancers. To systematically evaluate the role of NLRP3 in predicting outcomes of patients with non-small cell lung cancer (NSCLC), we performed a two-phase analysis for associations between genetic variants in NLRP3 inflammasome pathway genes and NSCLC survival by using a published genome-wide association study (GWAS) dataset from the Prostate, Lung, Colorectal and Ovarian (PLCO) Cancer Screening Trial. We used multivariate Cox proportional hazards regression analysis with Bayesian false discovery probability (≤0.80) for multiple testing correction to evaluate associations between 20,730 single-nucleotide polymorphisms (SNPs) in 176 genes and overall survival of 1,185 NSCLC patients from the PLCO trial. We further validated the identified significant SNPs in another GWAS dataset with survival data from 984 NSCLC patients of the Harvard Lung Cancer Susceptibility (HLCS) study. The results showed that two independent SNPs in two different genes (i.e., BIRC3 rs11225211 and NRG1 rs4733124) were significantly associated with the NSCLC overall survival, with a combined hazards ratio (HR) of 0.83 [95% confidence interval (CI) = 0.74-0.93 and P = 0.0009] and 1.18 (95% CI = 1.06-1.31) and P = 0.002], respectively. However, further expression quantitative trait loci (eQTL) analysis showed no evidence for correlations between the two SNPs and mRNA expression levels of corresponding genes. These results indicated that genetic variants in the NLRP3 imflammasome pathway gene-sets might be predictors of NSCLC survival, but the molecular mechanisms underlying the observed associations warrant further investigations.
dc.language eng
dc.relation.ispartof American journal of cancer research
dc.subject NLRP3 inflammasome
dc.subject Non-small cell lung cancer
dc.subject genome-wide association study
dc.subject overall survival
dc.subject single-nucleotide polymorphism
dc.title Genetic variants of BIRC3 and NRG1 in the NLRP3 inflammasome pathway are associated with non-small cell lung cancer survival.
dc.type Journal article
duke.contributor.id Luo, Sheng|0796693
duke.contributor.id Patz, Edward F|0019556
duke.contributor.id Wei, Qingyi|0632334
dc.date.updated 2020-10-01T14:38:50Z
pubs.begin-page 2582
pubs.end-page 2595
pubs.issue 8
pubs.organisational-group School of Medicine
pubs.organisational-group Duke Cancer Institute
pubs.organisational-group Pharmacology & Cancer Biology
pubs.organisational-group Pathology
pubs.organisational-group Radiology, Cardiothoracic Imaging
pubs.organisational-group Duke
pubs.organisational-group Institutes and Centers
pubs.organisational-group Basic Science Departments
pubs.organisational-group Clinical Science Departments
pubs.organisational-group Radiology
pubs.organisational-group Population Health Sciences
pubs.organisational-group Medicine, Medical Oncology
pubs.organisational-group Medicine
pubs.organisational-group Duke Clinical Research Institute
pubs.organisational-group Biostatistics & Bioinformatics
pubs.publication-status Published
pubs.volume 10
duke.contributor.orcid Luo, Sheng|0000-0003-4214-5809
duke.contributor.orcid Patz, Edward F|0000-0003-3374-1596
duke.contributor.orcid Wei, Qingyi|0000-0002-3845-9445|0000-0003-4115-4439


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