Associations between serum metabolites and female cancers: A bidirectional two-sample mendelian randomization study

孟德尔随机化 随机化 遗传学 样品(材料) 肿瘤科 生物 内科学 医学 生理学 基因 临床试验 化学 基因型 遗传变异 色谱法
作者
Z. Alexander Cao,XiongZhi Long,LiQin Yuan
出处
期刊:The Journal of Steroid Biochemistry and Molecular Biology [Elsevier]
卷期号:243: 106584-106584 被引量:3
标识
DOI:10.1016/j.jsbmb.2024.106584
摘要

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.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
浪客完成签到 ,获得积分10
1秒前
大可完成签到 ,获得积分10
2秒前
2秒前
量子星尘发布了新的文献求助10
3秒前
PQ完成签到,获得积分10
3秒前
chi完成签到 ,获得积分10
6秒前
默问完成签到,获得积分10
6秒前
量子星尘发布了新的文献求助10
7秒前
暖羊羊Y完成签到 ,获得积分10
7秒前
Yewen完成签到,获得积分10
7秒前
send完成签到,获得积分10
10秒前
王高兴完成签到,获得积分10
10秒前
个性的平蓝完成签到 ,获得积分10
11秒前
十六日呀完成签到,获得积分10
12秒前
lhl完成签到,获得积分0
12秒前
Dorren完成签到,获得积分10
13秒前
orixero应助Jerome采纳,获得10
13秒前
Lincoln完成签到,获得积分10
14秒前
梁平完成签到 ,获得积分10
14秒前
Owen应助wjw采纳,获得10
15秒前
qqqdewq完成签到,获得积分10
15秒前
Pises完成签到,获得积分10
15秒前
小太阳完成签到,获得积分10
16秒前
袁俪毓完成签到,获得积分10
17秒前
xiaofenzi完成签到,获得积分10
18秒前
噜噜噜完成签到 ,获得积分10
19秒前
ckmen5完成签到 ,获得积分10
20秒前
富贵儿完成签到 ,获得积分10
20秒前
21秒前
清风完成签到,获得积分10
21秒前
22秒前
和谐的映梦完成签到,获得积分10
22秒前
Astoria完成签到,获得积分10
22秒前
活力鸡完成签到,获得积分10
25秒前
量子星尘发布了新的文献求助10
25秒前
Jerome发布了新的文献求助10
25秒前
布曲完成签到 ,获得积分10
25秒前
量子星尘发布了新的文献求助10
25秒前
coollzl完成签到 ,获得积分10
28秒前
小王完成签到 ,获得积分10
29秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Digitizing Enlightenment: Digital Humanities and the Transformation of Eighteenth-Century Studies 1000
Translanguaging in Action in English-Medium Classrooms: A Resource Book for Teachers 700
Real World Research, 5th Edition 680
Qualitative Data Analysis with NVivo By Jenine Beekhuyzen, Pat Bazeley · 2024 660
Handbook of Migration, International Relations and Security in Asia 555
Between high and low : a chronology of the early Hellenistic period 500
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5671607
求助须知:如何正确求助?哪些是违规求助? 4920377
关于积分的说明 15135208
捐赠科研通 4830460
什么是DOI,文献DOI怎么找? 2587117
邀请新用户注册赠送积分活动 1540692
关于科研通互助平台的介绍 1499071