Literature DB >> 34280004

The CYP19A1 rs700519 Polymorphism and Breast Cancer Susceptibility in China: A Case-Control Study and Updated Meta-Analysis.

Fei Lv1, Wanying Huang2, Ying Wang1.   

Abstract

Objective: Breast cancer (BC), the most prevalent cancer in women, has been associated with several genetic factors, including the CYP19A1 rs700519 polymorphism; however, the conclusions have not been consistent. This case-control study and meta-analysis aimed to further assess the relationship between the CYP19A1 rs700519 polymorphism and BC susceptibility. Materials and
Methods: We conducted a case-control study to assess the relationship of the CYP19A1 rs700519 polymorphism with the risk and prognosis of BC. Subsequently, we performed a meta-analysis of the case-control studies.
Results: In the case-control study, we found a significant negative relationship between the rs700519 AA genotype and risk (χ2 = 7.503, p < 0.01) and disease-free survival rates (hazard rate = 0.400, 95% confidence interval [CI] = 0.181-0.883, p < 0.01) of patients with BC, especially in postmenopausal hormone receptor-positive (HR+) patients. Nine case-control studies were included in the meta-analysis. The CYP19A1 rs700519 polymorphism was significantly associated with BC susceptibility in the dominant (odds ratio [OR] = 0.95, 95% CI = 0.90-1.00, p = 0.05) and allelic models (OR = 0.84, 95% CI = 0.75-0.93, p < 0.01), but not in the recessive model. Sensitivity analysis revealed that the study results were stable, whereas the funnel plot revealed some publication bias. Conclusions: The CYP19A1 rs700519 polymorphism is related to breast tumorigenesis.

Entities:  

Keywords:  breast neoplasms; cytochrome P-450 CYP1A1; meta-analysis; polymorphism

Year:  2021        PMID: 34280004     DOI: 10.1089/gtmb.2021.0032

Source DB:  PubMed          Journal:  Genet Test Mol Biomarkers        ISSN: 1945-0257


  1 in total

1.  Clinical Eosinophil-Associated Genes can Serve as a Reliable Predictor of Bladder Urothelial Cancer.

Authors:  Chaojie Xu; Lishan Song; Hui Peng; Yubin Yang; Yi Liu; Dongchen Pei; Jianhua Guo; Nan Liu; Jiabang Liu; Xiaoyong Li; Chen Li; Zhengjun Kang
Journal:  Front Mol Biosci       Date:  2022-07-22
  1 in total

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