Literature DB >> 31288947

Single nucleotide polymorphism of PIK3CA and its interaction with the environment are risk factors for Chinese Han ovarian cancer.

Hui Zhang1, Li Zhou2.   

Abstract

BACKGROUND AND
PURPOSE: The PI3K pathway is an important signaling network that regulates key cell functions such as cell growth, proliferation and survival. PIK3CA mutations are found in a variety of human cancers. This study aimed to analyze the effect of interactions between PIK3CA rs2699887, rs3976507, rs6443626 single nucleotide polymorphisms (SNPs), and the environment on the risk of Chinese Han ovarian cancer.
METHODS: Sanger sequencing was used to analyze the PIK3CA rs2699887, rs3976507, rs6443626 genotypes in 350 Chinese Han ovarian cancer patients and 350 control individuals, and the expression of PIK3CA protein was detected in 117 ovarian cancer patients.
RESULTS: In subjects with age ≥60 years, Number liveborn ≤ 3, no smoking, no alcohol, and no family history of ovarian cancer, the risk of ovarian cancer of the rs2699887 T allele carriers were increased (all p < 0.05). In subjects with obesity (BMI ≥ 24 kg/m2), Number liveborn ≤3, no smoking, no alcohol, and no family history of ovarian cancer, the risk of ovarian cancer of rs3976507 T allele carriers and rs6443626 C allele carriers were increased (all p < 0.05). PIK3CA protein expression level in PIK3CA rs2699887 C > T, rs3976507 C > T, rs6443626 T > C locus homozygotes was significantly higher than that in heterozygotes (p <  0.05).
CONCLUSION: Interaction between PIK3CA rs2699887 SNP and age, number of liveborn, tobacco, alcohol, a family history of ovarian cancer and other factors are associated with ovarian cancer risk. Interaction between PIK3CA rs3976507 and rs6443626 loci, and factors such as BMI, number of liveborn, tobacco, alcohol, and family history of ovarian cancer are associated with ovarian cancer risk.
Copyright © 2019. Published by Elsevier GmbH.

Entities:  

Keywords:  Gene-environment interaction; Ovarian cancer; PIK3CA; Single nucleotide polymorphism

Mesh:

Substances:

Year:  2019        PMID: 31288947     DOI: 10.1016/j.prp.2019.152520

Source DB:  PubMed          Journal:  Pathol Res Pract        ISSN: 0344-0338            Impact factor:   3.250


  3 in total

1.  Identification and Validation of SNP-Containing Genes With Prognostic Value in Gastric Cancer via Integrated Bioinformatics Analysis.

Authors:  Hui Li; Jing Guo; Guang Cheng; Yucheng Wei; Shihai Liu; Yaoyue Qi; Gongjun Wang; Ruoxi Xiao; Weiwei Qi; Wensheng Qiu
Journal:  Front Oncol       Date:  2021-04-27       Impact factor: 6.244

2.  Gene polymorphisms in ULK1 and PIK3CA are associated with the risk of microscopic polyangiitis in the Guangxi Zhuang Autonomous Region in China.

Authors:  Yan Zhu; Jinlan Rao; Jingsi Wei; Liu Liu; Shanshan Huang; Jingjing Lan; Chao Xue; Wei Li
Journal:  PeerJ       Date:  2021-11-09       Impact factor: 2.984

3.  ERCC1 rs11615 polymorphism and chemosensitivity to platinum drugs in patients with ovarian cancer: a systematic review and meta-analysis.

Authors:  Yuqiang Zhang; Sufen Cao; Chunyu Zhuang; Jiacheng Chen; Xiaojing Chen; Hong Sun; Shengying Lin; Bailang Lin
Journal:  J Ovarian Res       Date:  2021-06-21       Impact factor: 4.234

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.