Literature DB >> 33281037

Impact of ESR1 Polymorphisms on Risk of Breast Cancer in the Chinese Han Population.

Wei Yang1, Xue He1, Chunjuan He1, Linna Peng1, Shishi Xing1, Dandan Li1, Li Wang1, Tianbo Jin2, Dongya Yuan3.   

Abstract

BACKGROUND: The estrogen receptor-1 (ESR1) gene encodes estrogen receptor-α, which is a major biomarker in the development of breast cancer. This study aimed to investigate the effect of ESR1 polymorphisms on breast cancer in Chinese Han women.
MATERIALS AND METHODS: We genotyped 4 candidate single nucleotide polymorphisms (SNPs) in ESR1 among 503 patients with breast cancer and 503 healthy people using the Agena MassARRAY platform. The association between ESR1 polymorphisms and breast cancer risk was evaluated using odds ratios (ORs) and 95% confidence intervals (95% CIs) under 4 genetic models. The HaploReg v4.1 and GEPIA database were used for SNP functional annotation and ESR1 expression analysis, respectively.
RESULTS: The T allele of rs9383938 in ESR1 was significantly associated with an increased breast cancer risk (OR, 1.26; 95% CI, 1.05-1.50; P = .013). In genetic models, rs9383938 increased breast cancer risk in the codominant model (OR, 1.54; 95% CI, 1.07-2.22; P = .021), the dominant model (OR, 1.31; 95% CI, 1.01-1.68; P = .040), and the additive model (OR, 1.24; 95% CI, 1.04-1.48; P = .017). Stratification analysis showed that rs9383938 and rs2228480 raised the breast cancer susceptibility in individuals aged younger than 52 years old. Rs1801132 of ESR1 was significantly associated with the status of estrogen receptor, progesterone receptor, and human epidermal growth factor receptor 2 in the allele model and genetic models (P < .05).
CONCLUSIONS: This study demonstrated that ESR1 polymorphisms might influence breast cancer susceptibility in the Chinese Han population. Further mechanism studies are needed to confirm the contribution of ESR1.
Copyright © 2020 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Breast cancer; Chinese Han population; ESR1; Polymorphisms; Risk

Mesh:

Substances:

Year:  2020        PMID: 33281037     DOI: 10.1016/j.clbc.2020.10.003

Source DB:  PubMed          Journal:  Clin Breast Cancer        ISSN: 1526-8209            Impact factor:   3.225


  3 in total

1.  Construction of a ceRNA network in hepatocellular carcinoma and comprehensive analysis of immune infiltration patterns.

Authors:  Zhifan Zuo; Tingsong Chen; Yue Zhang; Lei Han; Bo Liu; Bin Yang; Tao Han; Zhendong Zheng
Journal:  Am J Transl Res       Date:  2021-12-15       Impact factor: 4.060

2.  Impacts of LOC105371267 Variants on Breast Cancer Susceptibility in Northern Chinese Han Females: A Population-Based Case-Control Study.

Authors:  Linna Peng; Congmei Huang; Shishi Xing; Dandan Li; Chunjuan He; Yongjun He; Wei Yang; Tianbo Jin; Li Wang
Journal:  J Oncol       Date:  2021-08-28       Impact factor: 4.375

3.  Analysis of Breast Cancer Based on the Dysregulated Network.

Authors:  Yanhao Huo; Xianbin Li; Peng Xu; Zhenshen Bao; Wenbin Liu
Journal:  Front Genet       Date:  2022-02-15       Impact factor: 4.599

  3 in total

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