Potentially functional genetic variants in the TNF/TNFR signaling pathway genes predict survival of patients with non-small cell lung cancer in the PLCO cancer screening trial.
Abstract
The tumor necrosis factor (TNF)/TNF receptor (TNFR) pathway is known to influence
survival of patients with cancer. We hypothesize that single nucleotide polymorphisms
(SNPs) in the TNF/TNFR pathway genes related to apoptosis are associated with survival
of patients with non-small cell lung cancer (NSCLC). We used 1185 patients with NSCLC
in the Prostate, Lung, Colorectal, and Ovarian (PLCO) Cancer Screening Trial and 984
patients with NSCLC in the Harvard Lung Cancer Susceptibility Study as the discovery
and validation datasets, respectively. We selected 6788 SNPs in 71 genes in the TNF/TNFR
signaling pathway and extracted their genotyping data from the PLCO genowide-association
study (GWAS) dataset. We performed Cox proportional hazards regression analysis to
evaluate associations between the identified SNPs and survival and validated the significant
SNPs, which were further analyzed for their functional relevance. We found that genotypes
of two validated SNPs, IKBKAP rs4978754 CT + TT and TNFRSF1B rs677844 TC + CC, as
well as their combined genotypes predicted a better overall survival (P = 0.004, 0.002
and <0.001, respectively). These two validated SNPs were predicted by the RegulomeDB
score to be potentially functional. In addition, IKBKAP mRNA expression levels were
significantly higher, while TNFRSF1B mRNA expression levels were significantly lower
in lung cancer tissues than in adjacent normal tissues (P < 0.001). The Cancer Genome
Atlas (TCGA)-based expression quantitative trait loci analysis showed that IKBKAP
rs4978754 and TNFRSF1B rs677844 genotypes were significantly associated with their
corresponding mRNA expression levels in lung cancer tissues in a recessive model (P
= 0.035 and 0.045, respectively). Therefore, we identified two potentially functional
SNPs (IKBKAP rs4978754 C > T and TNFRSF1B rs677844 T > C) to be associated with survival
of patients with NSCLC.
Type
Journal articleSubject
TNF receptor (TNFR)non-small cell lung cancer (NSCLC)
single-nucleotide polymorphism
survival
tumor necrosis factor (TNF)
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https://hdl.handle.net/10161/18473Published Version (Please cite this version)
10.1002/mc.23017Publication Info
Guo, Yi; Feng, Yun; Liu, Hongliang; Luo, Sheng; Clarke, Jeffrey W; Moorman, Patricia
G; ... Wei, Qingyi (2019). Potentially functional genetic variants in the TNF/TNFR signaling pathway genes predict
survival of patients with non-small cell lung cancer in the PLCO cancer screening
trial. Molecular carcinogenesis. 10.1002/mc.23017. Retrieved from https://hdl.handle.net/10161/18473.This is constructed from limited available data and may be imprecise. To cite this
article, please review & use the official citation provided by the journal.
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Show full item recordScholars@Duke
Sheng Luo
Professor of Biostatistics & Bioinformatics
Patricia Gripka Moorman
Professor Emeritus in Family Medicine and Community Health
Dr. Moorman's research focuses on the epidemiology of women's health issues. Her work
includes research on ovarian cancer, breast cancer and hysterectomy. Areas of particular
interest include disparities in cancer risk factors and outcomes and the effects of
hysterectomy on ovarian function. As part of the Duke Evidence Synthesis group, she
has also been involved in systematic reviews and meta-analyses related to ovarian
cancer, breast cancer and infertility.
Qingyi Wei
Professor in Population Health Sciences
Qingyi Wei, MD, PhD, Professor in the Department of Medicine, is Associate Director
for Cancer Control and Population Sciences, Co-leader of CCPS and Co-leader of Epidemiology
and Population Genomics (Focus Area 1). He is a professor of Medicine and an internationally
recognized epidemiologist focused on the molecular and genetic epidemiology of head
and neck cancers, lung cancer, and melanoma. His research focuses on biomarkers and
genetic determinants for the DNA repair deficient phenotype and
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