XRCC3基因多态性与甲状腺癌易感性相关的综合数据汇编。

IF 3.3 3区 医学 Q3 ENDOCRINOLOGY & METABOLISM
Mahdi Khosravi-Mashzi, Seyed Masoud HaghighiKian, Amirhosein Naseri, Alireza Negahi, Mohammad Vakili-Ojarood, Bahareh Mehdikhani, Rezvan Nezameslami, Alireza Nezameslami, Amirhossein Rahmani, Amihossein Shahbazi, Amirmasoud Shiri, Hossein Neamatzadeh
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引用次数: 0

摘要

背景:同源重组修复的关键成分XRCC3基因多态性在甲状腺癌易感性中的潜在作用已被研究。然而,已发表的研究结果在人群和基因变异之间仍然不一致。本荟萃分析旨在阐明XRCC3多态性与甲状腺癌风险之间的关系,重点关注变异和种族特异性效应。方法:系统检索截至2025年7月10日的PubMed、EMBASE、Scopus、CNKI等数据库,确定了报告甲状腺癌中XRCC3多态性基因型分布的病例对照研究。在固定或随机效应模型下计算合并优势比(ORs)和95%置信区间(ci)。按种族、敏感性测试和发表偏倚评估(Egger's和Begg's测试)进行亚组分析。结果:纳入24项符合条件的研究:14项rs861539, 6项rs1799796, 4项rs1799794,包括4,502例和6,048例对照。对于rs861539,在总体人群中未观察到与甲状腺癌风险的显著关联(T vs. C: OR = 1.089, 95% CI = 0.908-1.306, p = 0.358),在亚洲和高加索亚组中一致无效结果。对于rs1799796,未检测到总体关联(G vs. A: OR = 0.970, 95% CI = 0.875-1.075, p = 0.558),但在亚洲人群中出现了保护作用(GA vs. AA: OR = 0.835, 95% CI = 0.701-0.995, p = 0.043)。对于rs1799794,在隐性模型下发现显著相关(GG vs. AA: OR = 1.371, 95% CI = 1.066 ~ 1.762, p = 0.014; GG vs. GA + AA: OR = 1.316, 95% CI = 1.037 ~ 1.669, p = 0.024)。观察到相当大的异质性(I²= 42.2-93.3%),8项研究偏离了Hardy-Weinberg平衡。结论:XRCC3 rs1799794多态性与甲状腺癌风险增加有关,特别是在隐性遗传模型下。rs1799796变异可能在亚洲人群中具有保护作用,而rs861539没有显示出显著的关联。这些结果突出了群体特异性遗传效应,并强调了在遗传关联研究中考虑种族的重要性。为了证实这些发现并探索潜在的基因与环境的相互作用,需要进一步大规模、精心设计的研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

A comprehensive compilation of data on the association between XRCC3 polymorphisms and thyroid cancer susceptibility.

A comprehensive compilation of data on the association between XRCC3 polymorphisms and thyroid cancer susceptibility.

A comprehensive compilation of data on the association between XRCC3 polymorphisms and thyroid cancer susceptibility.

A comprehensive compilation of data on the association between XRCC3 polymorphisms and thyroid cancer susceptibility.

Background: Polymorphisms in the XRCC3 gene, a key component of homologous recombination repair, have been studied for their potential role in thyroid cancer susceptibility. However, published findings remain inconsistent across populations and genetic variants. This meta-analysis aimed to clarify the associations between XRCC3 polymorphisms and thyroid cancer risk, with emphasis on variant- and ethnicity-specific effects.

Methods: A systematic search of PubMed, EMBASE, Scopus, CNKI, and other databases up to July 10, 2025 identified case-control studies reporting genotype distributions of XRCC3 polymorphisms in thyroid cancer. Pooled odds ratios (ORs) and 95% confidence intervals (CIs) were calculated under fixed- or random-effects models. Subgroup analyses by ethnicity, sensitivity tests, and publication bias assessments (Egger's and Begg's tests) were performed.

Results: Twenty-four eligible studies were included: 14 for rs861539, six for rs1799796, and four for rs1799794, comprising 4,502 cases and 6,048 controls. For rs861539, no significant association with thyroid cancer risk was observed in the overall population (T vs. C: OR = 1.089, 95% CI = 0.908-1.306, p = 0.358), with consistent null results across Asian and Caucasian subgroups. For rs1799796, no overall association was detected (G vs. A: OR = 0.970, 95% CI = 0.875-1.075, p = 0.558), but a protective effect emerged in Asian populations (GA vs. AA: OR = 0.835, 95% CI = 0.701-0.995, p = 0.043). For rs1799794, significant associations were found under recessive models (GG vs. AA: OR = 1.371, 95% CI = 1.066-1.762, p = 0.014; GG vs. GA + AA: OR = 1.316, 95% CI = 1.037-1.669, p = 0.024). Considerable heterogeneity was observed (I² = 42.2-93.3%), and eight studies deviated from Hardy-Weinberg equilibrium.

Conclusions: XRCC3 rs1799794 polymorphism is associated with increased thyroid cancer risk, particularly under recessive genetic models. The rs1799796 variant may confer a protective effect in Asian populations, whereas rs861539 shows no significant association. These results highlight population-specific genetic effects and underscore the importance of considering ethnicity in genetic association studies. Further large, well-designed investigations are warranted to confirm these findings and to explore potential gene-environment interactions.

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来源期刊
BMC Endocrine Disorders
BMC Endocrine Disorders ENDOCRINOLOGY & METABOLISM-
CiteScore
4.40
自引率
0.00%
发文量
280
审稿时长
>12 weeks
期刊介绍: BMC Endocrine Disorders is an open access, peer-reviewed journal that considers articles on all aspects of the prevention, diagnosis and management of endocrine disorders, as well as related molecular genetics, pathophysiology, and epidemiology.
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