Literature DB >> 32572717

Impact of NR5A2 and RYR2 3'UTR polymorphisms on the risk of breast cancer in a Chinese Han population.

Ying Wei1,2, Xiaolin Wang3, Zhe Zhang3, Changtao Zhao2, Yuwei Chang2, Zhiqing Bian2, Xinhan Zhao4.   

Abstract

OBJECTIVES: The NR5A2 and RYR2 genes are important players in steroid metabolism and play an important role in cancer research. In this research, we want to evaluate the effect of NR5A2 and RYR2 polymorphisms on breast cancer (BC).
METHODS: Four single nucleotide polymorphisms on NR5A2 and RYR2 were selected to genotype by Agena MassARRAY in 379 BC patients and 407 healthy controls. Using the PLINK software to calculate the Odds ratio (OR) and 95% confidence intervals (CIs) via the logistic regression analysis to evaluate the risk for BC.
RESULTS: We found that NR5A2 rs2246209 significantly decreased the risk of BC with the AA genotype (OR 0.58, 95%CI 0.34-0.99, p = 0.049), and recessive model (OR 0.59, 95%CI 0.35-0.99, p = 0.046); rs12594 in the RYR2 gene significantly decreased the risk of BC in the GG genotype (OR 0.44, 95%CI 0.22-0.88, p = 0.020), and recessive model (OR 0.43, 95%CI 0.21-0.85, p = 0.016). Further stratification analysis showed that NR5A2 rs2246209 was related to a lower incidence of BC affected by age, lymph nodes metastasis, and tumor stage; RYR2 rs12594 was related to a decreased BC risk restricted by age, estrogen receptor (ER), progesterone receptor (PR), menopausal status, tumor size, and tumor stage. Rs12594 in the RyR2 gene remained significant on the genetic susceptibility of PR-positive BC after Bonferroni correction (p < 0.0125).
CONCLUSIONS: This study provides an evidence that NR5A2 rs2246209 and RYR2 rs12594 decreased the risk of breast cancer.

Entities:  

Keywords:  Breast cancer; Chinese han population; NR5A2 gene; Polymorphism; RYR2 gene

Mesh:

Substances:

Year:  2020        PMID: 32572717     DOI: 10.1007/s10549-020-05736-w

Source DB:  PubMed          Journal:  Breast Cancer Res Treat        ISSN: 0167-6806            Impact factor:   4.872


  6 in total

1.  Bioinformatic Analysis of Immune Significance of RYR2 Mutation in Breast Cancer.

Authors:  Zhiquan Xu; Ling Xiang; Rong Wang; Yongfu Xiong; He Zhou; Haitao Gu; Jijian Wang; Linglong Peng
Journal:  Biomed Res Int       Date:  2021-11-03       Impact factor: 3.411

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.  RYR2 mutation in non-small cell lung cancer prolongs survival via down-regulation of DKK1 and up-regulation of GS1-115G20.1: A weighted gene Co-expression network analysis and risk prognostic models.

Authors:  Wenjun Ren; Yongwu Li; Xi Chen; Sheng Hu; Wanli Cheng; Yu Cao; Jingcheng Gao; Xia Chen; Da Xiong; Hongrong Li; Ping Wang
Journal:  IET Syst Biol       Date:  2021-12-07       Impact factor: 1.615

4.  A Novel Artificial Neural Network Prognostic Model Based on a Cancer-Associated Fibroblast Activation Score System in Hepatocellular Carcinoma.

Authors:  Yiqiao Luo; Huaicheng Tan; Ting Yu; Jiangfang Tian; Huashan Shi
Journal:  Front Immunol       Date:  2022-07-08       Impact factor: 8.786

5.  Comprehensive Analysis of Genomic and Expression Data Identified Potential Markers for Predicting Prognosis and Immune Response in CRC.

Authors:  Yongshan He; Xuan Dai; Yuanyuan Chen; Shiyong Huang
Journal:  Genet Res (Camb)       Date:  2022-07-30       Impact factor: 1.375

6.  Association of RYR2 Mutation With Tumor Mutation Burden, Prognosis, and Antitumor Immunity in Patients With Esophageal Adenocarcinoma.

Authors:  Zaoqu Liu; Long Liu; Dechao Jiao; Chunguang Guo; Libo Wang; Zhaonan Li; Zhenqiang Sun; Yanan Zhao; Xinwei Han
Journal:  Front Genet       Date:  2021-05-17       Impact factor: 4.599

  6 in total

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