NUDT17 多态性与乳腺癌风险之间的关系。

IF 3.9 3区 医学 Q1 PATHOLOGY
Junhui Han, Jing Liang, Wenqian Zhou, Man Zhang, Tianbo Jin
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引用次数: 0

摘要

背景:乳腺癌(BC)是全球女性癌症死亡的主要原因。nudix hydrolase 17(NUDT17)可能在癌症的生长和转移过程中发挥显著作用。本研究探讨了 NUDT17 基因多态性在 BC 患者中的重要性:在我们的研究中,有 563 名 BC 患者和 552 名健康对照者参与。我们使用逻辑回归分析计算几率比(OR)和95%置信区间(CI),并对SNP-SNP相互作用进行多因素降维(MDR)分析。最后,利用 UALCAN 和 THPA 数据库进行生物信息学分析:结果:rs9286836 G 等位基因与 BC 风险降低有关(p = 0.022),rs2004659 G 等位基因携带者的 BC 风险比等位基因 A 的个体降低 32%(p = 0.004)。在四个遗传模型中,rs9286836 和 rs2004659 可降低 BC 风险。此外,我们还发现,在年龄、肿瘤大小和临床分期分层的情况下,NUDT17 SNP 与 BC 风险相关。MDR分析表明,五病灶交互作用模型在多病灶模型中是最好的:我们的研究发现,NUDT17单核苷酸多态性与中国汉族人群的BC易感性有关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Association between NUDT17 polymorphisms and breast cancer risk.

Background: Breast cancer (BC) is the leading cause of cancer death among women worldwide. The nudix hydrolase 17 (NUDT17) may play notable roles in cancer growth and metastasis. In this study, we explored the importance of NUDT17 gene polymorphism in patients with BC.

Methods: In our study, 563 BC patients and 552 healthy controls participated. We used logistic regression analysis to calculate odds ratios (OR) and 95% confidence intervals (CI), and multifactor dimension reduction (MDR) analysis of SNP-SNP interactions. Finally, UALCAN and THPA databases were used for bioinformatics analysis.

Results: The rs9286836 G allele was associated with a decreased the BC risk (p = 0.022), and the carriers of rs2004659 G allele had a 32% decreased risk of BC than individuals with allele A (p = 0.004). In the four genetic models, rs9286836 and rs2004659 reduced the risk of BC. Additionally, we found that the NUDT17 SNPs were associated with BC risk under age, tumor size, and clinical stage stratification. The MDR analysis showed that the five-locus interaction model was the best in the multi-locus model.

Conclusion: Our study found that NUDT17 single nucleotide polymorphisms are associated with BC susceptibility in Chinese Han population.

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来源期刊
CiteScore
6.60
自引率
0.00%
发文量
71
审稿时长
1 months
期刊介绍: Expert Review of Molecular Diagnostics (ISSN 1473-7159) publishes expert reviews of the latest advancements in the field of molecular diagnostics including the detection and monitoring of the molecular causes of disease that are being translated into groundbreaking diagnostic and prognostic technologies to be used in the clinical diagnostic setting. Each issue of Expert Review of Molecular Diagnostics contains leading reviews on current and emerging topics relating to molecular diagnostics, subject to a rigorous peer review process; editorials discussing contentious issues in the field; diagnostic profiles featuring independent, expert evaluations of diagnostic tests; meeting reports of recent molecular diagnostics conferences and key paper evaluations featuring assessments of significant, recently published articles from specialists in molecular diagnostic therapy. Expert Review of Molecular Diagnostics provides the forum for reporting the critical advances being made in this ever-expanding field, as well as the major challenges ahead in their clinical implementation. The journal delivers this information in concise, at-a-glance article formats: invaluable to a time-constrained community.
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