Literature DB >> 30805963

Association of PTPN1 polymorphisms with breast cancer risk: A case-control study in Chinese females.

Shuya Huang1,2, Liyuan Liu1,2, Yujuan Xiang1,2, Fei Wang1,2, Lixiang Yu1,2, Fei Zhou1,2, Shude Cui3, Fuguo Tian4, Zhimin Fan5, Cuizhi Geng6, Xuchen Cao7, Zhenlin Yang8, Xiang Wang9, Hong Liang10, Shu Wang11, Hongchuan Jiang12, Xuening Duan13, Haibo Wang14, Guolou Li15, Qitang Wang16, Jianguo Zhang17, Feng Jin18, Jinhai Tang19, Liang Li20, Shiguang Zhu21, Wenshu Zuo22, Chunmiao Ye1, Wenzhong Zhou1, Gengshen Yin1, Zhongbing Ma1,2, Zhigang Yu1,2.   

Abstract

BACKGROUND: Breast cancer (BC) risk, development, and prognosis were closely related to obesity, diabetes mellitus, and metabolic syndrome. Protein tyrosine phosphatase, non-receptor type 1 (PTPN1) located on chromosome 20q13, could negatively regulate insulin and leptin signaling. In this study, we determined the association of PTPN1 polymorphisms with BC risk.
METHODS: We analyzed the distribution of 11 selected PTPN1 single nucleotide polymorphisms in Chinese female patients with BC (n = 953) and healthy controls (n = 963) based on a multicenter case-control study. The association of PTPN1 genotypes and haplotypes frequencies with BC risk were determined by logistic regression analysis. Analyses were further stratified by body mass index (BMI), waist-hip rate (WHR), diabetes mellitus history, and fasting plasma glucose level. The eQTL (expression Quantitative Trait Loci) analysis for PTPN1 was conducted by GTEx database.
RESULTS: There were significant differences between BC cases and control groups in menopausal status, number of births, and BMI. Four single nucleotide polymorphisms (SNPs; rs3215684, rs3787345, rs718049, and rs718050) decreased overall BC risk, and other seven SNPs showed no significant association with BC risk. In multivariate analysis, BMI and rs3215684 DT + DD genotype were identified as independent risk factors for BC, and mutated genotypes of rs3215684 were correlated with increased PTPN1 expression. There are no haplotypes showed different frequencies between cases and controls. In the stratified analysis, rs2206656 showed a significant association with decreased BC risk in the subgroup of BMI ≤ 24 kg/m 2 , while rs3215684 and rs718049 showed lower BC risk in the subgroup of WHR > 0.85. Seven SNPs showed lower BC risk in the subgroup with diabetes mellitus history and/or fasting plasma glucose level ≥ 7 mM, while rs754118 decreased BC risk in the subgroup of fasting plasma glucose level < 7 mM.
CONCLUSION: Our findings suggest that PTPN1 SNPs associated with BC susceptibility in Chinese females, which also suggested a novel mechanism between obesity, diabetes mellitus, and BC risk.
© 2019 Wiley Periodicals, Inc.

Entities:  

Keywords:  PTPN1; breast cancer; diabetes mellitus; obesity; single nucleotide polymorphism

Year:  2019        PMID: 30805963     DOI: 10.1002/jcb.28490

Source DB:  PubMed          Journal:  J Cell Biochem        ISSN: 0730-2312            Impact factor:   4.429


  3 in total

1.  Single-Nucleotide Polymorphisms in LEP and LEPR Associated With Breast Cancer Risk: Results From a Multicenter Case-Control Study in Chinese Females.

Authors:  Liang Li; Xingchen Meng; Liyuan Liu; Yujuan Xiang; Fei Wang; Lixiang Yu; Fei Zhou; Chao Zheng; Wenzhong Zhou; Shude Cui; Fuguo Tian; Zhimin Fan; Cuizhi Geng; Xuchen Cao; Zhenlin Yang; Xiang Wang; Hong Liang; Shu Wang; Hongchuan Jiang; Xuening Duan; Haibo Wang; Guolou Li; Qitang Wang; Jianguo Zhang; Feng Jin; Jinhai Tang; Liang Li; Shiguang Zhu; Wenshu Zuo; Chunmiao Ye; Gengshen Yin; Zhongbing Ma; Shuya Huang; Zhigang Yu
Journal:  Front Oncol       Date:  2022-02-10       Impact factor: 6.244

2.  The role of PTP1B (PTPN1) in the prognosis of solid tumors: A meta-analysis.

Authors:  Jiupeng Zhou; Hui Guo; Yongfeng Zhang; Heng Liu; Quanli Dou
Journal:  Medicine (Baltimore)       Date:  2022-10-07       Impact factor: 1.817

3.  Using machine learning to identify gene interaction networks associated with breast cancer.

Authors:  Liyuan Liu; Wenli Zhai; Fei Wang; Lixiang Yu; Fei Zhou; Yujuan Xiang; Shuya Huang; Chao Zheng; Zhongshang Yuan; Yong He; Zhigang Yu; Jiadong Ji
Journal:  BMC Cancer       Date:  2022-10-17       Impact factor: 4.638

  3 in total

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