title: Cancer risk and the complexity of the interactions between environmental and host factors: HENVINET interactive diagrams as simple tools for exploring and understanding the scientific evidence.
abstract: BACKGROUND
  Development of graphical/visual presentations of cancer etiology caused by environmental stressors is a process that requires combining the complex biological interactions between xenobiotics in living and occupational environment with genes (gene-environment interaction) and genomic and non-genomic based disease specific mechanisms in living organisms. Traditionally, presentation of causal relationships includes the statistical association between exposure to one xenobiotic and the disease corrected for the effect of potential confounders.
  
  
  METHODS
  Within the FP6 project HENVINET, we aimed at considering together all known agents and mechanisms involved in development of selected cancer types. Selection of cancer types for causal diagrams was based on the corpus of available data and reported relative risk (RR). In constructing causal diagrams the complexity of the interactions between xenobiotics was considered a priority in the interpretation of cancer risk. Additionally, gene-environment interactions were incorporated such as polymorphisms in genes for repair and for phase I and II enzymes involved in metabolism of xenobiotics and their elimination. Information on possible age or gender susceptibility is also included. Diagrams are user friendly thanks to multistep access to information packages and the possibility of referring to related literature and a glossary of terms. Diagrams cover both chemical and physical agents (ionizing and non-ionizing radiation) and provide basic information on the strength of the association between type of exposure and cancer risk reported by human studies and supported by mechanistic studies. Causal diagrams developed within HENVINET project represent a valuable source of information for professionals working in the field of environmental health and epidemiology, and as educational material for students.
  
  
  BACKGROUND
  Cancer risk results from a complex interaction of environmental exposures with inherited gene polymorphisms, genetic burden collected during development and non genomic capacity of response to environmental insults. In order to adopt effective preventive measures and the associated regulatory actions, a comprehensive investigation of cancer etiology is crucial. Variations and fluctuations of cancer incidence in human populations do not necessarily reflect environmental pollution policies or population distribution of polymorphisms of genes known to be associated with increased cancer risk. Tools which may be used in such a comprehensive research, including molecular biology applied to field studies, require a methodological shift from the reductionism that has been used until recently as a basic axiom in interpretation of data. The complexity of the interactions between cells, genes and the environment, i.e. the resonance of the living matter with the environment, can be synthesized by systems biology. Within the HENVINET project such philosophy was followed in order to develop interactive causal diagrams for the investigation of cancers with possible etiology in environmental exposure.
  
  
  RESULTS
  Causal diagrams represent integrated knowledge and seed tool for their future development and development of similar diagrams for other environmentally related diseases such as asthma or sterility. In this paper development and application of causal diagrams for cancer are presented and discussed.
authors: IRCCS AOU San Martino-IST-National Cancer Research Institute, Genoa, Italy. franco.merlo@stge.it
authors: Domenico F
authors: DF
authors: Merlo
authors: Rosangela
authors: R
authors: Filiberti
authors: Michael
authors: M
authors: Kobernus
authors: Alena
authors: A
authors: Bartonova
authors: Marija
authors: M
authors: Gamulin
authors: Zeljko
authors: Z
authors: Ferencic
authors: Maria
authors: M
authors: Dusinska
authors: Aleksandra
authors: A
authors: Fucic
mesh_terms: D003196:Computer Graphics; D003627:Data Interpretation, Statistical; D004781:Environmental Exposure; D004782:Environmental Health / Q000379:methods*; D004785:Environmental Pollutants / Q000633:toxicity; D059647:Gene-Environment Interaction; D006801:Humans; D009369:Neoplasms / Q000139:chemically induced* / Q000235:genetics*; D011110:Polymorphism, Genetic; D012306:Risk; D012737:Sex Factors; D015262:Xenobiotics / Q000633:toxicity
chemical_list: D004785:Environmental Pollutants; D015262:Xenobiotics