Research Papers:

Association analysis of telomere length related gene ACYP2 with the gastric cancer risk in the northwest Chinese Han population

Jianhui Li _, Gang Ma, Xulong Zhu, Tianbo Jin, Jianxiong Wang and Cheng Li

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Oncotarget. 2017; 8:31144-31152. https://doi.org/10.18632/oncotarget.16097

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Jianhui Li1,2, Gang Ma1,2, Xulong Zhu1,2, Tianbo Jin3,4, Jianxiong Wang1,2, Cheng Li1,2

1Department of Surgical Oncology, Shaanxi Provincial People’s Hospital, Xi’an, Shaanxi 710068, China

2The Third Affiliated Hospital, the School of Medicine Xi’an Jiaotong University, Xi’an, Shaanxi 710068, China

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

4Xi’an Tiangen Precision Medical Institute, Xi’an, Shaanxi 710075, China

Correspondence to:

Jianhui Li, email: [email protected]

Keywords: gastric cancer (GC), single-nucleotide polymorphisms (SNPs), ACYP2, telomere length, association analysis

Received: January 17, 2017     Accepted: March 02, 2017     Published: March 10, 2017


Gastric cancer (GC) is a complex multifactorial disease, and genetic factors are believed the predominant cause to the occurrence of GC. We sought to investigate the associations between single nucleotide polymorphisms (SNPs) in ACYP2 gene and the risk of GC in the Northwest Chinese Han population. We recruited 302 GC cases and 300 controls from northwest China and selected 13 SNPs from ACYP2 gene. SNPs were genotyped using Sequenom Mass-ARRAY technology. Odds ratios (ORs) and 95 % confidence intervals (CIs) were used to assess the association. Bonferroni’s multiple adjustment was applied to the level of significance, which was set at P < 0.00078 (0.05/65). We found that the minor alleles of rs6713088, rs11125529, rs12615793, rs843711, rs11896604, rs843706 and rs17045754 significantly stimulated the risk of GC, and homozygous alleles of above SNPs except rs6713088 were also found increasing the GC risk (P < 0.05). Under additive model and recessive model, rs11125529, rs12615793, rs843711, rs11896604, and rs17045754 also activated the risk of GC (P < 0.05). However, after Bonferroni’s multiple adjusted was applied to our data, no SNP in our study was significantly related to GC risk. Further results of haplotype analysis founds that the haplotypes “TTCTAATG” (rs1682111, rs843752, rs10439478, rs843645, rs11125529, rs12615793, rs843711, and rs11896604) and “AC” (rs843706 and rs17045754) were more frequency among patients with GC, on the contrary, the haplotypes “CG” had a protective role in the GC risk (P < 0.05). Our results indicate that ACYP2 polymorphisms may influence the GC risk and may serve as a new precursory biomarker in the northwest Chinese Han population.

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