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IL-1ß-511 C>T 基因多态性与乳腺癌易感性的关联:一项包含 3331 例病例和 3609 例对照的更新荟萃分析

Quantitative Assessment of the Effects of IL-1ß -511 C>T Variant on Breast Cancer Risk: An Updated Meta-Analysis of 3331 Cases and 3609 Controls.

机构信息

Genetics of Non-Communicable Disease Research Center, Zahedan University of Medical Sciences, Zahedan, Iran.

Department of Clinical Biochemistry, School of Medicine, Gonabad University of Medical Sciences, Gonabad, Iran.

出版信息

Lab Med. 2021 Jan 4;52(1):36-46. doi: 10.1093/labmed/lmaa055.

Abstract

OBJECTIVE

Growing evidence suggests that IL-1β -511C>T, as a functional variant, affects the risk of developing breast cancer (BC); however, the results have not been conclusive. This meta-analysis was conducted to estimate the link between this variant and BC risk.

METHODS

We retrieved available publications on IL-1β -511C>T polymorphism by conducting a comprehensive literature search on the Web of Science, MEDLINE, PubMed, Scopus, and Google scholar databases (last search on February 25, 2020).

RESULTS

The overall analysis indicates that IL-1β -511C>T polymorphism conferred an increased risk of BC under a recessive TT vs CT+CC model by 1.14-fold and showed protection against BC under an overdominant CT vs TT+CC genetic contrast model (odds ratio = 0.84). Stratified analysis based on ethnicity revealed the protective effect of this single-nucleotide polymorphism against BC risk in Caucasian patients.

CONCLUSION

Our data results provide a proof of concept for the association of IL-1β -511C>T with BC risk. Larger, well-designed population-based studies are needed to confirm these findings.

摘要

目的

越来越多的证据表明,IL-1β-511C>T 作为一种功能变体,影响乳腺癌(BC)的发病风险;然而,结果尚不确定。本荟萃分析旨在评估该变体与 BC 风险之间的关联。

方法

我们通过全面检索 Web of Science、MEDLINE、PubMed、Scopus 和 Google scholar 数据库(最后一次检索时间为 2020 年 2 月 25 日),检索了关于 IL-1β-511C>T 多态性的现有文献。

结果

总体分析表明,在隐性 TT 与 CT+CC 模型下,IL-1β-511C>T 多态性使 BC 的发病风险增加了 1.14 倍,在超显性 CT 与 TT+CC 遗传对比模型下,该多态性显示出对 BC 的保护作用(比值比=0.84)。基于种族的分层分析表明,该单核苷酸多态性对高加索人群 BC 风险具有保护作用。

结论

我们的数据结果为 IL-1β-511C>T 与 BC 风险之间的关联提供了概念验证。需要更大规模、精心设计的基于人群的研究来证实这些发现。

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