探索脑成像衍生表型与卵巢癌风险之间的因果关系:双向孟德尔随机化。

IF 4.2 3区 医学 Q1 REPRODUCTIVE BIOLOGY
Ting Liu, Xiaoqian Tuo, Huifang Zhao, Yan Wang, Yu Jiang, Jiaojiao Lu
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引用次数: 0

摘要

背景:卵巢癌可引起大脑结构和功能的改变。本研究采用孟德尔随机化(Mendelian randomization, MR)研究脑成像衍生表型(brain imaging-derived phenotypes, IDPs)与卵巢癌之间的因果关系,为IDPs在卵巢癌风险评估中的潜在临床应用提供新的见解。方法:本研究使用来自英国生物银行的结构和扩散磁共振成像(MRI)数据,以及来自两个独立的全基因组关联研究(GWAS)的数据,鉴定了587名脑IDPs。我们选择单核苷酸多态性(snp)作为基于严格标准的工具变量。为了评估IDPs对卵巢癌风险的因果影响,我们采用了五种MR模型:逆方差加权(IVW)、MR- egger回归、加权中位数、加权模式和简单模式。此外,我们进行了荟萃分析,为我们的结果提供额外的验证。结果:前瞻性磁共振分析确定了72个与卵巢癌风险显著相关的IDPs,其中65个在进行敏感性测试后仍保持稳健。相反,反向磁共振分析表明,63名IDPs受到卵巢癌的影响,突出了这些因素之间的双向因果关系。荟萃分析显示,右侧中央前回皮质表面积增加与卵巢癌风险增加相关,优势比(OR)为1.139(95%置信区间[CI]: 1.037-1.250, P = 0.006,常见效应模型)。相比之下,右侧内侧眶额皮质体积较大与卵巢癌风险降低有关,OR为0.839 (95% CI: 0.744-0.946, P = 0.004,常见效应模型)。此外,在反向MR分析中,卵巢癌的高风险与右侧穹窿和终纹的分数各向异性(FA)增加有关,而左侧前辐射冠的取向弥散指数(OD)降低有关。结论:本研究为国内流离失所者与卵巢癌风险之间的因果关系提供了令人信服的证据。这表明IDPs可能在脑成像水平上作为卵巢癌风险评估的有价值的生物标志物,并强调需要进一步研究以探索这些关联背后的生物学机制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Exploring causal relationships between brain imaging-derived phenotypes and ovarian cancer risk: a bidirectional Mendelian randomization.

Background: Ovarian cancer could induce alterations in both structure and function of the brain. This study employs Mendelian randomization (MR) to investigate the causal relationship between brain imaging-derived phenotypes (IDPs) and ovarian cancer, offering new insights into the potential clinical applications of IDPs for ovarian cancer risk assessment.

Methods: This study identified 587 brain IDPs using structural and diffusion magnetic resonance imaging (MRI) data from the UK Biobank and data were sourced from two independent Genome-Wide Association Studies (GWAS). We selected single nucleotide polymorphisms (SNPs) as instrumental variables based on rigorous criteria. To evaluate the causal effects of IDPs on the risk of ovarian cancer, we employed five MR models: Inverse Variance Weighted (IVW), MR-Egger regression, Weighted median, Weighted mode, and Simple mode. Furthermore, we conducted a meta-analysis to provide additional validation for our results.

Results: Forward MR analysis identified 72 IDPs that were significantly associated with the risk of ovarian cancer, with 65 remaining robust after conducting sensitivity tests. Conversely, reverse MR analysis indicated that 63 IDPs were influenced by ovarian cancer, highlighting a bidirectional causal relationship between these factors. The meta-analysis revealed that an increased cortical surface area of the right precentral gyrus was associated with a heightened risk of ovarian cancer, with an odds ratio (OR) of 1.139 (95% confidence interval [CI]: 1.037-1.250, P = 0.006, common effect model). In contrast, a larger volume of the right medial orbital frontal cortex was linked to a reduced risk of ovarian cancer, with an OR of 0.839 (95% CI: 0.744-0.946, P = 0.004, common effect model). Additionally, in the reverse MR analysis, a higher risk of ovarian cancer was associated with an increased fractional anisotropy (FA) in the right fornix and stria terminalis, while decreased orientation dispersion index (OD) in the left anterior corona radiata.

Conclusions: This study provides compelling evidence of a causal relationship between IDPs and ovarian cancer risk. It suggests that IDPs might serve as valuable biomarkers for ovarian cancer risk assessment at brain-imaging levels and emphasize the need for further research to explore the biological mechanisms underlying these associations.

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来源期刊
Journal of Ovarian Research
Journal of Ovarian Research REPRODUCTIVE BIOLOGY-
CiteScore
6.20
自引率
2.50%
发文量
125
审稿时长
>12 weeks
期刊介绍: Journal of Ovarian Research is an open access, peer reviewed, online journal that aims to provide a forum for high-quality basic and clinical research on ovarian function, abnormalities, and cancer. The journal focuses on research that provides new insights into ovarian functions as well as prevention and treatment of diseases afflicting the organ. Topical areas include, but are not restricted to: Ovary development, hormone secretion and regulation Follicle growth and ovulation Infertility and Polycystic ovarian syndrome Regulation of pituitary and other biological functions by ovarian hormones Ovarian cancer, its prevention, diagnosis and treatment Drug development and screening Role of stem cells in ovary development and function.
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