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Impact of MIR31HG polymorphisms on risk of breast cancer in Chinese women

  • Original Article
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International Journal of Clinical Oncology Aims and scope Submit manuscript

Abstract

Background

Breast cancer (BC) is one of the leading causes of death worldwide. This study explored the relationship between the MIR31HG gene polymorphisms and the risk of BC in Chinese women.

Methods

Eight single nucleotide polymorphisms (SNPs) in MIR31HG were genotyped among 545 patients with BC and 530 healthy controls using Agena MassARRAY analysis. The PLINK software was used to calculate the odds ratio (OR) and 95% confidence intervals (CIs) via the logistic regression analysis. Multi-factor dimensionality reduction (MDR) analysis was performed to study the impact of SNP-SNP interaction on BC risk.

Results

MIR31HG rs72703442-AA (OR 0.29, 95% CI 0.10–0.79, p = 0.026), rs55683539-TT (OR 0.46, 95% CI 0.26–0.80, p = 0.012) and rs2181559-AA (OR 0.59, 95% CI 0.40–0.89, p = 0.038) were associated with a reduced risk of BC in Chinese women, as well as stratified results at age ≥ 52 years. Rs79988146 was correlated with estrogen receptor (ER) and progesterone receptor (PR)in Chinese female BC patients under various genetic models. Age at menarche stratification indicated that rs1332184 was associated with increased risk in BC patients, whereas stratification by number of births indicated that rs10965064 was associated with reduced risk in BC patients. MDR analysis showed that the best single-locus model for predicting of BC risk are rs55683539, which, rs55683539-CC group was a high risk group and rs55683539-TT group was a low risk group.

Conclusions

The results indicated that the MIR31HG polymorphisms were associated with a reduced risk of BC in Chinese women.

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Availability of data and material

All data obtained from the current study are available from the corresponding author upon reasonable request.

Abbreviations

BC:

Breast cancer

SNPs:

Single nucleotide polymorphisms

OR:

Odds ratio

95% CI:

95% Confidence interval

ER:

Estrogen receptor

PR:

Progesterone receptor

LN:

Lymph node

lncRNA:

Long non-coding RNA

HWE:

Hardy–Weinberg equilibrium

FDR:

False discovery rate

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Acknowledgements

First of all, we thank all authors for their contributions and supports. Then, we are grateful to all participants for providing blood samples.

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Author notes

  1. Joint first authors: Ying Wei and Xiaolin Wang.

Authors and Affiliations

  1. Department of Internal Medicine Oncology, The First Affiliated Hospital of Xi’an Jiaotong University School of Medicine, Xi’an, #227 West Yanta Road, 710061, Shaanxi, China

    Ying Wei & Xinhan Zhao

  2. Department of Internal Medicine Oncology, Yulin No.2 Hospital, Yulin, 719000, Shaanxi, China

    Ying Wei, Changtao Zhao, Yuwei Chang & Zhiqing Bian

  3. Department of General Surgery, Yulin No.2 Hospital, Yulin, 719000, Shaanxi, China

    Xiaolin Wang & Zhe Zhang

Authors
  1. Ying Wei
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  2. Xiaolin Wang
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  3. Zhe Zhang
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  4. Changtao Zhao
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  5. Yuwei Chang
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  6. Zhiqing Bian
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  7. Xinhan Zhao
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Contributions

XZ: conceived and designed the experiments; YW and XW: performed the experiments; CZ and ZZ: analyzed the data; YC: contributed reagents/materials/analysis tools; ZB: prepared the figures and/or tables; XZ, YW and XW: drafted the work or revised it critically for important content. All authors have read and approved the manuscript.

Corresponding author

Correspondence to Xinhan Zhao.

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Conflict of interest

The authors have declared that they have no competing interests.

Ethics approval

All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.

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Written informed consent was obtained from the patient for publication of this report.

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Cite this article

Wei, Y., Wang, X., Zhang, Z. et al. Impact of MIR31HG polymorphisms on risk of breast cancer in Chinese women. Int J Clin Oncol 28, 664–679 (2023). https://doi.org/10.1007/s10147-023-02323-z

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  • DOI: https://doi.org/10.1007/s10147-023-02323-z

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