The association between ATM variants and risk of breast cancer: a systematic review and meta-analysis.

The association between ATM variants and risk of breast cancer: a systematic review and meta-analysis.
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DOI:
10.1186/s12885-020-07749-6
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发表时间:
2021-01-05
期刊:
影响因子:
3.8
通讯作者:
Sohrabi E
Sohrabi E
中科院分区:
医学2区
文献类型:
--
作者:
Moslemi M;Moradi Y;Dehghanbanadaki H;Afkhami H;Khaledi M;Sedighimehr N;Fathi J;Sohrabi E

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共济失调毛细血管扩张突变(ATM)基因有助于修复受损的DNA并调节细胞周期;因此,ATM基因变异似乎会增加患乳腺癌的风险;然而,结果存在争议。所以我们进行了一项系统综述和荟萃分析,以阐明各种ATM基因变异与乳腺癌风险之间的综合关联。 通过Scopus、Web of Science、PubMed和Cochrane检索了相关研究。进行了分层和亚组分析,以探究研究之间的异质性并评估研究质量的影响。计算了比值比的对数及其标准误对数的合并估计值以及相对危险度及其置信区间。 这项研究表明,ATM基因变异与乳腺癌风险之间存在关联;根据七项调整后的病例 - 对照研究,这种关联的比值比估计为1.67(95%置信区间:0.73 - 3.82),根据九项未调整的病例 - 对照研究,粗比值比为2.27(95%置信区间:1.17 - 4.40),根据两项队列研究,相对危险度估计为1.68(95%置信区间:1.17 - 2.40)。 ATM基因变异与乳腺癌风险增加有关,其中ATM V2424G突变被检测为最易感因素,而ATM D1853V、L546V和S707P变异的预测能力最弱。
Ataxia telangiectasia-mutated (ATM) gene contributes to repair damaged DNA and to regulate cell cycle; therefore, ATM variants seem to increase breast cancer risk; however, the results are controversial. So we conducted a systematic review and meta-analysis to clarify the pooled association between various ATM variants and the risk of breast cancer. The relevant studies were searched through Scopus, Web of Science, PubMed and Cochrane. Stratified and subgroup analyses were performed to explore heterogeneity between studies and assess effects of study quality. The pooled estimates logarithm with standard error logarithm of odds ratio and relative risk with confidence interval were calculated. This study revealed that there is association between ATM variants and the risk of breast cancer; according to the seven adjusted case-control studies, OR of this association was estimated as 1.67 (95%CI: 0.73–3.82), according to nine unadjusted case-control studies, the crude OR was 2.27 (95% CI: 1.17–4.40) and according to two cohorts, the RR was estimated as 1.68 (95% CI: 1.17–2.40). The ATM variants are associated with an increased risk of breast cancer that ATM V2424G mutation is detected as the most predisposing factor while ATM D1853V, L546V, and S707P variants have the least predictive ability.
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