Literature DB >> 8235510

Observations on the dose-response curve for arsenic exposure and lung cancer.

I Hertz-Picciotto1, A H Smith.   

Abstract

Occupational studies in three countries have related quantitative estimates of arsenic exposure to lung cancer risks. Mine exposures in China appear to incur a higher relative risk than arsenic exposures elsewhere. All of the studies with quantitative data are consistent with a supralinear dose-response relationship. Two studies are also consistent with a linear relationship over an elevated background risk of lung cancer among arsenic-exposed workers. Neither toxicokinetic mechanisms nor confounding from age, smoking, or other workplace carcinogens that differ by exposure level appear likely to explain this curvilinearity. Plausible explanations include (i) synergism (with smoking) which varies in magnitude according to the level of arsenic exposure, (ii) long-term survivorship in higher exposure jobs among the healthier, less susceptible individuals, (iii) exposure estimate errors that were more prominent at higher exposure levels as a result of past industrial hygiene sampling or worker protection practices.

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Year:  1993        PMID: 8235510     DOI: 10.5271/sjweh.1480

Source DB:  PubMed          Journal:  Scand J Work Environ Health        ISSN: 0355-3140            Impact factor:   5.024


  20 in total

1.  A graphical method to evaluate exposure-response relationships in epidemiologic studies using standardized mortality or morbidity ratios.

Authors:  Edwin van Wijngaarden
Journal:  Dose Response       Date:  2006-05-22       Impact factor: 2.658

2.  The impact of saturable metabolism on exposure-response relations in 2 studies of benzene-induced leukemia.

Authors:  Jelle Vlaanderen; Lützen Portengen; Stephen M Rappaport; Deborah C Glass; Hans Kromhout; Roel Vermeulen
Journal:  Am J Epidemiol       Date:  2011-07-10       Impact factor: 4.897

3.  Controlling the healthy worker survivor effect: an example of arsenic exposure and respiratory cancer.

Authors:  H M Arrighi; I Hertz-Picciotto
Journal:  Occup Environ Med       Date:  1996-07       Impact factor: 4.402

4.  Sulforaphane prevents pulmonary damage in response to inhaled arsenic by activating the Nrf2-defense response.

Authors:  Yi Zheng; Shasha Tao; Fangru Lian; Binh T Chau; Jie Chen; Guifan Sun; Deyu Fang; R Clark Lantz; Donna D Zhang
Journal:  Toxicol Appl Pharmacol       Date:  2012-09-06       Impact factor: 4.219

5.  The response of children with asthma to ambient particulate is modified by tobacco smoke exposure.

Authors:  Nathan Rabinovitch; Lori Silveira; Erwin W Gelfand; Matthew Strand
Journal:  Am J Respir Crit Care Med       Date:  2011-08-25       Impact factor: 21.405

6.  Epidemiology and quantitative risk assessment: a bridge from science to policy.

Authors:  I Hertz-Picciotto
Journal:  Am J Public Health       Date:  1995-04       Impact factor: 9.308

7.  From 'omics' to complex disease: a systems biology approach to gene-environment interactions in cancer.

Authors:  Sarah S Knox
Journal:  Cancer Cell Int       Date:  2010-04-26       Impact factor: 5.722

8.  When to be skeptical of negative studies: pitfalls in evaluating occupational risks using population-based case-control studies.

Authors:  S W Hu; I Hertz-Picciotto; J Siemiatycki
Journal:  Can J Public Health       Date:  1999 Mar-Apr

9.  Cancers related to exposure to arsenic at a copper smelter.

Authors:  P E Enterline; R Day; G M Marsh
Journal:  Occup Environ Med       Date:  1995-01       Impact factor: 4.402

10.  Folate and cobalamin modify associations between S-adenosylmethionine and methylated arsenic metabolites in arsenic-exposed Bangladeshi adults.

Authors:  Caitlin G Howe; Megan M Niedzwiecki; Megan N Hall; Xinhua Liu; Vesna Ilievski; Vesna Slavkovich; Shafiul Alam; Abu B Siddique; Joseph H Graziano; Mary V Gamble
Journal:  J Nutr       Date:  2014-03-05       Impact factor: 4.798

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