Literature DB >> 4065079

Consequences of synergy between environmental carcinogens.

M C Berenbaum.   

Abstract

As it is generally impossible to determine dose-response relationships for carcinogens at the low concentrations in which they occur in the environment, risk-benefit considerations are by consensus based on the linear, no-threshold model, on the assumption that this represents the worst case. However, this assumption does not take into account the possibility of synergistic interactions between carcinogens. It is shown here that, as a result of such interactions, the dose-response curve for added risk due to any individual carcinogen will generally be steeper at lower doses than at higher doses, and consequently the risk at low environmental levels will be higher than would be expected from a linear response. Moreover, this excess risk at low doses is shown to increase as the general level of environmental carcinogens rises and, independently of this effect, it may also increase with the number of carcinogens present.

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Year:  1985        PMID: 4065079     DOI: 10.1016/0013-9351(85)90095-7

Source DB:  PubMed          Journal:  Environ Res        ISSN: 0013-9351            Impact factor:   6.498


  3 in total

1.  Genotoxic mixtures and dissimilar action: concepts for prediction and assessment.

Authors:  Sibylle Ermler; Martin Scholze; Andreas Kortenkamp
Journal:  Arch Toxicol       Date:  2013-12-03       Impact factor: 5.153

2.  Comparing the lung cancer burden of ambient particulate matter using scenarios of air quality standards versus acceptable risk levels.

Authors:  Alberto Castro; Thomas Götschi; Beat Achermann; Urs Baltensperger; Brigitte Buchmann; Denise Felber Dietrich; Alexandre Flückiger; Marianne Geiser; Brigitte Gälli Purghart; Hans Gygax; Meltem Kutlar Joss; Lara Milena Lüthi; Nicole Probst-Hensch; Peter Strähl; Nino Künzli
Journal:  Int J Public Health       Date:  2020-01-07       Impact factor: 3.380

3.  Dose-response analysis in the joint action of two effectors. A new approach to simulation, identification and modelling of some basic interactions.

Authors:  Miguel Anxo Murado García; Miguel Ángel Prieto Lage
Journal:  PLoS One       Date:  2013-04-24       Impact factor: 3.240

  3 in total

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