Perfluoroalkyl substances (PFASs) as risk factors for breast cancer: a case–control study in Chinese population

乳腺癌 医学 肿瘤科 全氟辛酸 优势比 逻辑回归 人口 置信区间 内科学 癌症 环境卫生 化学 环境化学
作者
Xuejun Li,Fengju Song,Xiaotu Liu,Anqi Shan,Yubei Huang,Zhengjun Yang,Haixin Li,Qiaoyun Yang,Yue Yu,Hong Zheng,Xuchen Cao,Da Chen,Kexin Chen,Xi Chen,Nai-jun Tang
出处
期刊:Environmental Health [Springer Nature]
卷期号:21 (1) 被引量:10
标识
DOI:10.1186/s12940-022-00895-3
摘要

Abstract Background Perfluoroalkyl substances (PFASs) are a large family of synthetic chemicals, some of which are mammary toxicants and endocrine disruptors. Recent studies have implicated exposure to PFASs as a risk factor for breast cancer in Europe and America. Little is known about the role of PFASs with respect to breast cancer in the Chinese population. Methods Participants who were initially diagnosed with breast cancer at Tianjin Medical University Cancer Institute and Hospital between 2012 and 2016 were recruited as cases. The controls were randomly selected from the participants with available blood samples in the Chinese National Breast Cancer Screening Program (CNBCSP) cohort. Ultimately, we enrolled 373 breast cancer patients and 657 controls. Plasma PFASs were measured by an ultra-performance liquid chromatography (UPLC) system coupled to a 5500 Q-Trap triple quadrupole mass spectrometer. A logistic regression model with least absolute shrinkage and selection operator (LASSO) regularization was used to calculate odds ratios (ORs) and 95% confidence intervals (CIs) to assess the relationships between PFASs and breast cancer. The three most predictive variables in the LASSO model were selected from 17 PFASs, which was based on the optimal penalty coefficient (λ = 0.0218) identified with the minimum criterion. Additionally, Bayesian kernel machine regression (BKMR) and quantile g-computation models were applied to evaluate the associations between separate and mixed exposure to PFASs and breast cancer. Results Perfluorooctanesulfonic acid (PFOS) exhibited the highest concentration in both the cases and controls. Perfluorooctanoic acid (PFOA) and perfluoro-n-decanoic acid (PFDA) were positively associated with breast cancer, and perfluoro-n-tridecanoic acid (PFTrDA) was negatively associated with breast cancer according to both the continuous-PFASs and the quartile-PFASs logistic regression models. Of note, PFOA was associated with the occurrence of estrogen receptor (ER)-, progesterone receptor (PR)-, and human epidermal growth factor receptor 2 (HER2)-positive breast cancer (OR ER+ = 1.47, 95% CI: 1.19, 1.80; OR PR+ = 1.36, 95% CI: 1.09, 1.69; OR HER2 = 1.62, 95% CI: 1.19, 2.21). Conclusions Overall, we observed that PFASs were associated with breast cancer in Chinese women. Prospective cohort studies and mechanistic experiments are warranted to elucidate whether these associations are causal.
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
更新
大幅提高文件上传限制,最高150M (2024-4-1)

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
zn发布了新的文献求助10
刚刚
lujie发布了新的文献求助10
刚刚
活泼山雁完成签到,获得积分10
2秒前
美好小玉完成签到,获得积分10
5秒前
大观天下发布了新的文献求助10
5秒前
从容幻梦发布了新的文献求助10
6秒前
11秒前
12秒前
14秒前
杜林发布了新的文献求助10
14秒前
科研狗发布了新的文献求助10
17秒前
17秒前
dannnnn发布了新的文献求助10
17秒前
nhocbinzuzu发布了新的文献求助10
17秒前
852应助麻薯头头采纳,获得10
18秒前
18秒前
18秒前
QQLL完成签到,获得积分10
19秒前
19秒前
SISI完成签到,获得积分10
20秒前
哆啦A梦发布了新的文献求助10
20秒前
21秒前
几何发布了新的文献求助30
22秒前
23秒前
Sandy完成签到,获得积分10
27秒前
tangyuan发布了新的文献求助10
29秒前
哆啦A梦完成签到,获得积分10
29秒前
Zoey完成签到,获得积分10
30秒前
32秒前
白白熊完成签到 ,获得积分10
32秒前
Jasper应助大壮采纳,获得10
34秒前
jerry发布了新的文献求助30
35秒前
37秒前
Zoey发布了新的文献求助10
37秒前
39秒前
艾尔斯灿完成签到,获得积分10
40秒前
一一完成签到,获得积分10
41秒前
bkagyin应助泽灵采纳,获得10
42秒前
nanonamo完成签到,获得积分10
45秒前
46秒前
高分求助中
Kinetics of the Esterification Between 2-[(4-hydroxybutoxy)carbonyl] Benzoic Acid with 1,4-Butanediol: Tetrabutyl Orthotitanate as Catalyst 1000
The Young builders of New china : the visit of the delegation of the WFDY to the Chinese People's Republic 1000
Rechtsphilosophie 1000
Bayesian Models of Cognition:Reverse Engineering the Mind 888
Handbook of Qualitative Cross-Cultural Research Methods 600
Very-high-order BVD Schemes Using β-variable THINC Method 568
Chen Hansheng: China’s Last Romantic Revolutionary 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3137706
求助须知:如何正确求助?哪些是违规求助? 2788609
关于积分的说明 7787778
捐赠科研通 2444975
什么是DOI,文献DOI怎么找? 1300139
科研通“疑难数据库(出版商)”最低求助积分说明 625814
版权声明 601043