Oncotarget

Research Papers:

Genetic polymorphisms are associated with the risk of gastric and colorectal cancers in a Han Chinese population

Nan Wang, Qing Qiao, Guoqiang Bao, Tao Wu, Yizhou Li, Jingjie Li, Jianguo Lu _ and Xianli He

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Oncotarget. 2017; 8:28805-28811. https://doi.org/10.18632/oncotarget.15745

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Abstract

Nan Wang1,*, Qing Qiao1,*, Guoqiang Bao1, Tao Wu1, Yizhou Li2, Jingjie Li3, Jianguo Lu1, Xianli He1

1Department of General Surgery, Tangdu Hospital, Fourth Military Medical University, Xi’an, Shaanxi, 710038, China

2Inner Mongolia Medical University, Hohhot, Inner Mongolia, 010050, China

3Key Laboratory of Resource Biology and Biotechnology in Western China, Ministry of Education, School of Life Sciences, Northwest University, Xi’an, Shaanxi, 710069, China

*These authors have contributed equally to this work

Correspondence to:

Jianguo Lu, email: [email protected]

Xianli He, email: [email protected]

Keywords: gastric cancer, colorectal cancer, single-nucleotide polymorphism, susceptibility, case-control

Received: September 26, 2016     Accepted: January 10, 2017     Published: February 26, 2017

ABSTRACT

Here, we genotyped eleven single-nucleotide polymorphisms (SNPs) and evaluated their association with the risk of developing gastric cancer (GC) or colorectal cancer (CRC) in 1,790 Han Chinese participants (588 GC patients, 499 CRC patients, and 703 healthy controls). Statistically analysis showed that the “C” allele of rs2689154 in MIPEPP2 was associated with a decreased risk of GC (odds ratio [OR] = 0.81, 95 % confidence interval [CI]: 0.66-0.99, P = 0.041), whereas the “T” allele of rs12615966 in LOC284998 was associated with a 1.29-fold increase in the risk of GC (OR = 1.29, 95% CI: 1.03-1.63, P = 0.029). Additionally, genetic model analyses showed that rs2689154 was associated with a reduced risk of GC under the recessive model (adjusted OR = 0.46, 95% CI: 0.22-0.98, P = 0.037), and rs12615966 in FOXF1 was associated with an increased risk of GC in both the dominant and log-additive models after adjusted for age and gender (adjusted OR = 1.36, 95% CI: 1.02-1.81, P = 0.033; adjusted OR = 1.36, 95% CI: 1.05-1.75, P = 0.018, respectively). We also observed that rs2178146 in FOXF1 was associated with an increased risk of CRC in the recessive model (adjusted OR = 1.90, 95% CI: 1.05-3.45, P = 0.034). Our results confirmed that rs2689154 in MIPEPP2 was significantly decreased GC risk, but rs12615966 in LOC284998 was significantly increased GC risk, and rs2178146 in FOXF1 was associated with increased CRC risk in the Han Chinese population.


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