血清代谢物与女性癌症之间的关系:双向双样本泯灭随机研究

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS ACS Applied Bio Materials Pub Date : 2024-07-13 DOI:10.1016/j.jsbmb.2024.106584
ZheXu Cao, XiongZhi Long, LiQin Yuan
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引用次数: 0

摘要

女性癌症,尤其是乳腺癌、卵巢癌、宫颈癌和子宫内膜癌,是全球女性健康的主要威胁。鉴于目前的遗传信息无法完全解释癌症复杂的遗传背景,我们采用了双向双样本亡羊补牢随机方法来探讨血清代谢物与四种主要女性癌症--乳腺癌、卵巢癌、宫颈癌和子宫内膜癌之间的因果关系。我们分析了加拿大老龄化纵向研究的代谢物数据集和第十轮芬根项目的癌症数据集。与癌症协会联合会和利奥的研究进行了重复分析。工具变量的分析方法包括沃尔德比率、逆方差加权、MR-Egger 和加权中位数。为确保稳健性,我们使用 Cochrane's Q、Egger's 截距、MR-PRESSO 和 leave-one-out 方法进行了敏感性分析。经过细致的分析,我们得到了与乳腺癌有密切因果关系的 3-hydroxyoleoylcarnitine、十六碳二酸酯、十四碳二酸酯和肉碱 C14 的水平,以及 5alpha androstan-3alpha、17beta-二醇单硫酸盐 (1)、雄二醇 (3beta,17beta) 单硫酸盐 (1)、雄甾酮硫酸盐和 5α-雄甾烷-3beta,17beta-二醇二硫酸盐的水平与子宫内膜癌存在因果关系。反向分析表明,乳腺癌、卵巢癌和子宫内膜癌以及乳腺癌和卵巢癌的存活率分别与 8、5、2、6 和 3 种代谢物存在因果关系。这些发现强调了特定代谢物在女性癌症病因中的潜在作用,为早期检测、风险分层和疾病进展监测提供了新的生物标志物。进一步的研究可以阐明这些代谢物如何影响癌症发展的特定途径,为预防和治疗策略提供理论基础。
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Associations between serum metabolites and female cancers: A bidirectional two-sample mendelian randomization study

Female cancers, especially breast, ovarian, cervical, and endometrial cancers, constitute a major threat to women's health worldwide. In view of the complex genetic background of cancers cannot be fully explained with current genetic information, we used a bidirectional two-sample mendelian randomization approach to explore the causal associations between serum metabolites and four major female cancers—breast, ovarian, cervical, and endometrial cancers. We analyzed the metabolites dataset from the Canadian Longitudinal Study of Aging and cancer datasets from the 10th round of the Finngen project. Replication analyses was performed with Cancer Association Consortium and Leo’s studies. Instrumental variables were analyzed using methods including the Wald ratio, inverse-variance weighted, MR-Egger, and weighted median. To ensure robustness, sensitivity analyses were performed using Cochrane’s Q, Egger’s intercept, MR-PRESSO, and leave-one-out methods. After meticulous analysis, we obtained levels of 3-hydroxyoleoylcarnitine, hexadecanedioate, tetradecanedioate, and carnitine C14 with robust causal associations with breast cancer, levels of 5alpha-androstan-3alpha,17beta-diol monosulfate (1), androstenediol (3beta,17beta) monosulfate (1), androsterone sulfate, and 5alpha-androstan-3beta,17beta-diol disulfate causal associations with endometrial cancer. The reverse analysis showed that breast, ovarian, and endometrial cancer and survival of breast and ovarian cancer were found to have causal relationships with 8, 5, 2, 6, and 3 metabolites, respectively. These insights underscore the potential roles of specific metabolites in the etiology of female cancers, providing new biomarkers for early detection, risk stratification, and disease progression monitoring. Further research could elucidate how these metabolites influence specific pathways in cancer development, offering theoretical foundations for prevention and treatment strategies.

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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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