期刊
REGULATORY TOXICOLOGY AND PHARMACOLOGY
卷 55, 期 2, 页码 123-133出版社
ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.yrtph.2009.06.007
关键词
Tobacco; Cigarette smoking topography; Lifetime cancer risk; Lung cancer; Cancer Prevention Study; Monte Carlo simulation
资金
- OHSU Oregon Opportunity Program
- Public Health Service [CA-68384, CA-17613]
- Cooley Family Fund for Critical Research of the Oregon Community Foundation
The manner in which humans smoke cigarettes is an important determinant of smoking risks. Of the few investigators that have predicted cancer risks from smoking on a chemical-specific basis, most used mainstream cigarette smoke (MCS) carcinogen emissions obtained via machine smoking protocols that only approximate human smoking conditions. Here we use data of Djordjevic et al. [Djordjevic, M.V., Stellman, S.D., Zang, E., 2000. Doses of nicotine and lung carcinogens delivered to cigarette smokers. J. Natl. Cancer Inst. 92, 106-111] for MCS emissions of three carcinogens measured under human smoking conditions to compute probability distributions of incremental lifetime cancer risk (ILCR) values using Monte Carlo simulations. The three carcinogens considered are benzo[a]pyrene, N'-nitrosonornicotine (NNN), and 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanone (NNK). Computed NNK ILCR values were compared with lifetime risks of lung cancer (ILCRCMDobs Sigma-lung)derived from American Cancer Society Cancer Prevention Studies (CPS) I and II. Within the Monte Carlo simulation results, NNK was responsible for the greatest ILCR values for all cancer endpoints: median ILCR values for NNK were similar to 18-fold and 120-fold higher than medians for NNN and benzo[a]pyrene, respectively. For regular cigarettes, the NNK median ILCR for lung cancer was lower than ILCR(CMD)(obs Sigma-lung)from CPS-I and II by >90-fold for men and >4-fold for women. Given what is known about chemical carcinogens in MCS, this study shows that there is a higher incidence of lung cancer from exposure to MCS than can be predicted with current risk assessment methods using available toxicity and emission data. (C) 2009 Elsevier Inc. All rights reserved.
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