A new model for assessing cancer risk for complex environmental mixtures

The World Health Organization has estimated that air pollution causes approximately 7 million premature deaths annually, making it the largest environmental health risk. Air pollution consists of many pollutants including particulate matter containing many toxic chemicals (eg PAH/PAH and metals). This complexity makes risk assessment difficult because different ingredients can interact and cause health effects that are difficult to assess. A major weakness of current risk assessment models is that they do not take these interactions into account. Therefore, new models based on the evaluation of complete mixtures or environmental samples are in great demand.

In the research group’s latest publication, in order to better validate this model, MPFs were identified for standard reference materials (SRMs) that represent three different types of exposures that have been classified as carcinogenic to humans: outdoor air pollution, diesel exhaust, and coal tar . . An important aspect was that the anticancer efficacy of these types of SRM had already been evaluated in animal experiments, which allowed us to compare the efficacy. in the laboratory-model and in vivoCancer data. The results showed that in the laboratory MPFs agree well with efficacy values ​​based on animal data.