Perfluoroalkyl substances exposure and the risk of breast cancer: A nested case-control study in Jinchang Cohort

被引:2
|
作者
Dou, Qian [1 ]
Bai, Yana [1 ]
Li, Yongjun [2 ]
Zheng, Shan [1 ]
Wang, Minzhen [1 ]
Wang, Zhongge [1 ]
Sun, Jianyun [2 ]
Zhang, Desheng [3 ]
Yin, Chun [3 ]
Ma, Li [1 ]
Lu, Yongbin [4 ]
Zhang, Lizhen [1 ]
Chen, Ruirui [1 ]
Cheng, Zhiyuan [5 ]
机构
[1] Lanzhou Univ, Sch Publ Hlth, Dept Epidemiol & Hlth Stat, Lanzhou 730000, Gansu, Peoples R China
[2] Gansu Prov Ctr Dis Control & Prevent, Lanzhou 730000, Peoples R China
[3] Workers Hosp Jinchuan Grp Co Ltd, Jinchang 737100, Gansu, Peoples R China
[4] Lanzhou Univ, Ctr Evidence Based Med, Sch Basic Med Sci, Lanzhou 730000, Peoples R China
[5] Sun Yat Sen Univ, Sch Publ Hlth, Dept Epidemiol, 74,2nd Yat Sen St, Guangzhou 510080, Guangdong, Peoples R China
关键词
Perfluoroalkyl substances; Breast cancer (BC); Nested case-control study; Environmental estrogen; Mixed exposure; MAMMARY-GLAND DEVELOPMENT; PERFLUOROOCTANOIC ACID; PERFLUORINATED CHEMICALS; PFOA; ESTROGEN; DIFFERENTIATION; CYTOTOXICITY; MECHANISMS; REGRESSION; RECEPTORS;
D O I
10.1016/j.envres.2024.119909
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Background: As persistent organic pollutants (POPs), perfluoroalkyl substances (PFAS) may potentially impact human health. Our study aimed to investigate the prospective association between PFAS exposure and the incidence risk of breast cancer in females. Methods: By fully following the Jinchang Cohort after a decade, we conducted this nested case-control study with 135 incidence cases of breast cancer (BC) and 540 bias-paired controls. The PFAS levels were tested by baseline serum samples. Conditional logistic regression and a restricted cubic spline model were employed to investigate the BC incidence risks and the dose-response associated with single PFAS component exposure. Furthermore, the Quantile g-computation model (Qgc), random forest model (RFM), and bayesian kernel machine regression models (BKMR) were integrated to estimate the mixed effects of PFAS exposure on the incidence risk of BC. Results: Exposures to specific PFAS components were positively associated with an increased incidence risk of breast cancer. By grouping the study population into different baseline menopausal statuses, PFHxS, PFNA, PFBA, PFUdA, PFOS, and PFDA demonstrated a similarly positive correlation with BC incidence risks. However, the increased incidence risks of BC associated with PFOA, PFOS, PFUdA, and 9CL-PF3ONS exposure were exclusively found in the premenopausal population. Both BKMR and Qgc revealed that exposure to mixed PFAS was associated with an increased risk of breast cancer, with Qgc specifically indicating an odds ratio (OR) of 2.21 (95% CI: 1.53, 3.19). Random forests showed that PFBA, PFOS, PFHxS, and PFDA emerged as predominant factors potentially influencing breast cancer incidence. Conclusion: Our findings suggest a strong association between PFAS exposure and the incidence of breast cancer. Premenopausal women should exercise more caution regarding PFAS exposure.
引用
收藏
页数:13
相关论文
共 50 条
  • [31] Plasma carotenoids, retinol, and tocopherols and postmenopausal breast cancer risk in the Multiethnic Cohort Study: a nested case-control study
    Epplein, Meira
    Shvetsov, Yurii B.
    Wilkens, Lynne R.
    Franke, Adrian A.
    Cooney, Robert V.
    Le Marchand, Loic
    Henderson, Brian E.
    Kolonel, Laurence N.
    Goodman, Marc T.
    BREAST CANCER RESEARCH, 2009, 11 (04):
  • [32] Risk factors for breast cancer in a cohort of mammographic screening program: a nested case-control study within the FRiCaM study
    Bravi, Francesca
    Decarli, Adriano
    Russo, Antonio Giampiero
    CANCER MEDICINE, 2018, 7 (05): : 2145 - 2152
  • [33] Plasma carotenoids, retinol, and tocopherols and postmenopausal breast cancer risk in the Multiethnic Cohort Study: a nested case-control study
    Meira Epplein
    Yurii B Shvetsov
    Lynne R Wilkens
    Adrian A Franke
    Robert V Cooney
    Loïc Le Marchand
    Brian E Henderson
    Laurence N Kolonel
    Marc T Goodman
    Breast Cancer Research, 11
  • [34] Perfluoroalkyl substances (PFASs) as risk factors for breast cancer: a case–control study in Chinese population
    Xuejun Li
    Fengju Song
    Xiaotu Liu
    Anqi Shan
    Yubei Huang
    Zhengjun Yang
    Haixin Li
    Qiaoyun Yang
    Yue Yu
    Hong Zheng
    Xu-Chen Cao
    Da Chen
    Ke-Xin Chen
    Xi Chen
    Nai-jun Tang
    Environmental Health, 21
  • [35] Residential magnetic field exposure and breast cancer risk: A nested case-control study from a multiethnic cohort in Los Angeles County, California
    London, SJ
    Pogoda, JM
    Hwang, KL
    Langholz, B
    Monroe, KR
    Kolonel, LN
    Kaune, WT
    Peters, JM
    Henderson, BE
    AMERICAN JOURNAL OF EPIDEMIOLOGY, 2003, 158 (10) : 969 - 980
  • [36] Psoriasis and Risk of Incident Cancer: An Inception Cohort Study with a Nested Case-Control Analysis
    Brauchli, Yolanda B.
    Jick, Susan S.
    Miret, Montserrat
    Meier, Christoph R.
    JOURNAL OF INVESTIGATIVE DERMATOLOGY, 2009, 129 (11) : 2604 - 2612
  • [37] Serum zinc and prostate cancer risk in a nested case-control study: The multiethnic cohort
    Park, Song-Yi
    Wilkens, Lynne R.
    Morris, J. Steven
    Henderson, Brian E.
    Kolonel, Laurence N.
    PROSTATE, 2013, 73 (03): : 261 - 266
  • [38] Indoor radon exposure and risk of lung cancer: A nested case-control study in Finland
    Auvinen, A
    Makelainen, I
    Hakama, M
    Castren, O
    Pukkala, E
    Reisbacka, H
    Rytomaa, T
    JOURNAL OF THE NATIONAL CANCER INSTITUTE, 1996, 88 (14) : 966 - 972
  • [39] A nested case-control study of prostate cancer and atrazine exposure
    Hessel, PA
    Kalmes, R
    Smith, TJ
    Lau, E
    Mink, PJ
    Mandel, J
    JOURNAL OF OCCUPATIONAL AND ENVIRONMENTAL MEDICINE, 2004, 46 (04) : 379 - 385
  • [40] Association of exposure to perfluoroalkyl substances and risk of the acute coronary syndrome: A case-control study in Shijiazhuang Hebei Province
    Li, Haoran
    Chen, Jinbo
    Lu, Jingchao
    Yang, Jing
    Tan, Zhenzhen
    Li, Longfei
    Xiao, Fang
    An, Ziwen
    Ma, Chaoying
    Liu, Yi
    Wang, Lei
    Zhang, Xiaoguang
    Guo, Huicai
    CHEMOSPHERE, 2023, 313