Oncotarget

Research Papers:

Relationship of p73 gene polymorphism and additional gene-smoking and gene-obesity interaction with non-small cell lung cancer risk

Qiuge Wu, Yan Shi, Lulu Ge, Dongbo Ma, Hui Zhang and Jing Wang _

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Oncotarget. 2017; 8:34423-34428. https://doi.org/10.18632/oncotarget.16257

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Abstract

Qiuge Wu1, Yan Shi1, Lulu Ge1, Dongbo Ma1, Hui Zhang1, Jing Wang1

1Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Zhengzhou University, Henan, China

Correspondence to:

Jing Wang, email: [email protected]

Keywords: non-small cell lung cancer, G4C14-to-A4T14, polymorphism, interaction, smoking

Received: October 09, 2016     Accepted: March 01, 2017     Published: March 16, 2017

ABSTRACT

Aim: The aim of this study was to investigate the impact of G4C14-to-A4T14 polymorphism within P73 gene and additional interactions with current smoking and obesity on non-small cell lung cancer (NSCLC) risk in a Chinese population.

Results: Logistic regression analysis showed a significant association between genotypes of the AT allele in G4C14-to-A4T14 and decreased NSCLC risk. NSCLC risk was significantly lower in carriers of the G4C14-to-A4T14- AT allele than those with GC/GC genotype (AT/AT + GC/AT versus GC/GC), adjusted OR (95%CI) = 0.68 (0.55–0.93). We also found that the OR (95%CI) was 1.88 (1.32-2.47) for current smokers compared with never smokers and 0.69 (0.40–0.95) for obese subjects compared to participants with normal BMI. Never smokers with AT/AT or GC/AT of the G4C14-to-A4T14 genotype have the lowest NSCLC risk compared with smokers with the GC/GC genotype after covariates adjustment, OR (95%CI) = 0.52 (0.26-0.87). Obese participants with G4C14-to-A4T14- AT/AT or GC/AT genotype have the lowest NSCLC risk compared with non- obese subjects with the GC/GC genotype after adjusting for covariates, OR (95% CI) = 0.56 (0.33–0.85).

Materials and Methods: A logistic regression model was used to examine the association between G4C14-to-A4T14 polymorphism and NSCLC, and its interaction with current smoking and obesity. The odds ratios (OR) and 95% confident intervals (95%CI) were calculated.

Conclusions: Our results support an important association between the G4C14-to-A4T14 and decreased NSCLC risk and additional impact of an interaction between G4C14-to-A4T14 and smoking or obesity on NSCLC risk.


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