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. 2023 Dec 1;23(1):1177.
doi: 10.1186/s12885-023-11477-y.

CYP4B1 polymorphisms and the risk of breast cancer in Chinese women: a case-control study

Yanhai Yin #  1   2 , Liangqian Tong #  3 , Zhenling Wan #  4 , Yanfang Sui #  5 , Fen Li  2 , Qian Huang  2 , Xinhan Zhao  6
Affiliations

CYP4B1 polymorphisms and the risk of breast cancer in Chinese women: a case-control study

Yanhai Yin et al. BMC Cancer. .

Abstract

Background: Breast cancer (BC) is one of the malignant diseases threatening the life and health of women worldwide. The CYP4B1 gene was abnormally expressed in BC and was associated with the prognosis of BC patients. This study aimed to explore the relationship between CYP4B1 single nucleotide polymorphisms (SNPs) and BC risk in Chinese women.

Methods: A case-control study of 1,143 women (571 patients and 572 healthy individuals) was conducted. Rs2297813 G/T, rs12142787 G/A, and rs3766197 C/T in CYP4B1 were selected and genotyped by MassARRAY system. The relationships between these SNPs and the risk of BC were assessed by logistic regression analysis. In addition, multi-factor dimensionality reduction (MDR) was used to analyze SNP-SNP interactions.

Results: CYP4B1 rs2297813 had a risk-increasing effect on BC in women with body mass index (BMI) ≤ 24 kg/m2 (OR = 1.72, p = 0.026). CYP4B1 rs12142787 was associated with an increased BC risk in smokers (AA: OR = 1.32, p = 0.045). Among non-drinkers, rs2297813 (OR = 1.69, p = 0.009) and rs12142787 (OR = 1.51, p = 0.020) were related to an increased incidence of BC. CYP4B1 rs3766197 (OR = 1.61p = 0.031) was associated with a higher risk of advanced stages (III/IV stage) of BC. Besides, the contributions of CYP4B1 rs2297813 (OR = 1.55, p = 0.021) and rs12142787 (OR = 1.53, p = 0.033) to BC risk might be associated with more than one birth in patients with BC. The three-locus model consisting of rs2297813, rs12142787, and rs3766197 was regarded as the best predictive model for BC risk.

Conclusion: CYP4B1 SNPs were associated with BC risk in Chinese women, especially in patients with BMI ≤ 24 kg/m2, smokers, non-drinkers, patients in advanced stages (III/IV stage), and patients who reproduced once. These findings shed light on the relationship between CYP4B1 SNPs and BC risk in Chinese women.

Keywords: Breast cancer; CYP4B1; Chinese women; Single nucleotide polymorphisms.

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Conflict of interest statement

The authors declare no competing interests.

Figures

Fig. 1
Fig. 1
The expression ofCYP4B1mRNA in BC tissue (A) and its correlation with prognosis of BC patients (B). Data from GEPIA database (http://gepia.cancer-pku.cn/index.html) and Kaplan-Meier Plotter database (https://kmplot.com/analysis/). *P < 0.01. Red color means BC tissues and grey color means normal tissues
Fig. 2
Fig. 2
The violin plot for the association between the genotypes of rs2297813, rs12142787, and rs3766197 and the mRNA expression of CYP4B1 in breast tissues. Data from GTEx Portal database (https://gtexportal.org/home/)
Fig. 3
Fig. 3
Analysis of SNP-SNP interactions (A. Dendrogram; B. Fruchterman-Reingold. Green and blue represent redundancy or correlation. Values in nodes represent the information gains of individual attribute (main effects). Values between nodes are information gains of each pair of attributes (interaction effects)
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References

    1. Medeiros B, Allan AL. Molecular mechanisms of breast Cancer metastasis to the lung: clinical and experimental perspectives. Int J Mol Sci 2019, 20(9). - PMC - PubMed
    1. Sung H, Ferlay J, Siegel RL, Laversanne M, Soerjomataram I, Jemal A, Bray F. Global Cancer Statistics 2020: GLOBOCAN estimates of incidence and Mortality Worldwide for 36 cancers in 185 countries. Cancer J Clin. 2021;71(3):209–49. doi: 10.3322/caac.21660. - DOI - PubMed
    1. Cao W, Chen HD, Yu YW, Li N, Chen WQ. Changing profiles of cancer burden worldwide and in China: a secondary analysis of the global cancer statistics 2020. Chin Med J. 2021;134(7):783–91. doi: 10.1097/CM9.0000000000001474. - DOI - PMC - PubMed
    1. Siegel RL, Miller KD, Fuchs HE, Jemal A. Cancer statistics, 2022. CA Cancer J Clin. 2022;72(1):7–33. doi: 10.3322/caac.21708. - DOI - PubMed
    1. Chaffer CL, Weinberg RA. A perspective on cancer cell metastasis. Sci (New York NY) 2011;331(6024):1559–64. doi: 10.1126/science.1203543. - DOI - PubMed

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