Association between blood heavy metals and lung cancer risk: A case-control study in China

肺癌 医学 内科学 癌症 病例对照研究 胃肠病学
作者
Kai Zhang,Tengteng Zhu,Xiaowei Quan,Ying Qian,Ying Liu,Jiayi Zhang,Huan Zhang,Haixin Li,Biyun Qian
出处
期刊:Chemosphere [Elsevier BV]
卷期号:343: 140200-140200 被引量:16
标识
DOI:10.1016/j.chemosphere.2023.140200
摘要

Exposure to various metals has been reported to lead to lung cancer. However, few studies focused on the combined effects of metal mixture.To explore the relationship between metal mixture and lung cancer patients.Inductively coupled plasma mass spectrometry (ICP-MS) was used to measure the concentration of 8 heavy metals (V, Cr, Mn, Se, Mo, Cd, Ba and Pb) in serum samples of 86 cases and 105 controls in the Tianjin Lung Cancer Cohort. Logistic regression models were used to estimate the effect of each metal on the risk of lung cancer. The restricted cubic spline function was applied to describe the dose-response relationship between various metal concentrations and lung cancer risk. Bayesian Kernel Machine Regression (BKMR), Weighted Quantile Sum (WQS) and Quantile G-Computation (QGC) were employed to explore the effects of metal mixtures as a whole on lung cancer.An increased risk of lung cancer was associated with higher blood Mo concentration (adjusted OR = 2.94, 95% CI = 1.03-8.74 for tertile 2 vs. tertile 1). Higher Se concentration in blood may have protective effects on the risk of lung cancer (adjusted OR = 0.18, 95% CI = 0.06-0.51 for tertile 3 vs. tertile 1, p-trend <0.001). In addition, Se and Cd may have an antagonism effect on the occurrence of lung cancer (RERI and 95% CI = -0.95 [-31.77, -0.07]; AP and 95% CI = -0.95 [-5.16 -0.74]). Although the metal mixture did not show a significant effect on lung cancer as a whole, this may be due to the offsetting effect between positive and negative effects.Our research indicates that Se has a promising anti-cancer application, but it is necessary to prevent the role of Cd that antagonize Se in lung cancer.
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
xjl0263发布了新的文献求助10
刚刚
1秒前
zpeng发布了新的文献求助10
1秒前
顿时解放完成签到,获得积分20
1秒前
专注的从筠完成签到,获得积分10
1秒前
加一点荒谬完成签到,获得积分10
3秒前
3秒前
星辰大海应助小飞123采纳,获得10
3秒前
顺利厉发布了新的文献求助10
3秒前
平安喜乐发布了新的文献求助10
3秒前
zyl520发布了新的文献求助10
3秒前
ALAI发布了新的文献求助10
3秒前
4秒前
杰果完成签到,获得积分10
4秒前
顿时解放发布了新的文献求助10
5秒前
pyp发布了新的文献求助10
5秒前
6秒前
耀学菜菜完成签到,获得积分10
6秒前
小王梓发布了新的文献求助10
6秒前
小万完成签到 ,获得积分10
6秒前
坚果发布了新的文献求助10
7秒前
9秒前
hj发布了新的文献求助10
9秒前
smile完成签到,获得积分10
9秒前
10秒前
10秒前
11秒前
虚幻蜜粉完成签到,获得积分10
11秒前
12秒前
12秒前
12秒前
13秒前
13秒前
13秒前
zyl520完成签到,获得积分10
13秒前
14秒前
Starwalker应助LS31采纳,获得50
15秒前
飘逸薯片完成签到,获得积分10
15秒前
16秒前
TranYan发布了新的文献求助10
16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
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
The Composition and Relative Chronology of Dynasties 16 and 17 in Egypt 1500
Picture this! Including first nations fiction picture books in school library collections 1500
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
Scientific Writing and Communication: Papers, Proposals, and Presentations 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6370318
求助须知:如何正确求助?哪些是违规求助? 8184259
关于积分的说明 17266518
捐赠科研通 5424904
什么是DOI,文献DOI怎么找? 2870073
邀请新用户注册赠送积分活动 1847081
关于科研通互助平台的介绍 1693826