Abstract
Oncogenesis is a multistep process, which is the outcome of the accumulation in a single cell of genetic and epigenetic events. The events alter proto-oncogenes, which are converted into oncogenes with gain of function and tumor suppressor genes with loss of function. Cellular mechanisms (e.g. apoptosis) protect tissues against the malignant transformation of cells and limit, for each tissue, the combinations of efficient genetic alterations. The number of genetic events required for conversion to malignancy is still debated, but, at least in the case of many solid tumors (e.g. colon carcinomas), this number may be as high as seven to eight, which implies that a genetic instability occurs during cancer progression. In most cancers the probability of occurrence of oncogenic genetic events is increased by exposure to behavioural and environmental factors. In the case of chemical carcinogens, the dose–effect relationship is strongly affected by their effects on cellular proliferation, which should be taken account into when the experimental data of animal experiments are extrapolated to human exposures. When non-genotoxic carcinogens are considered, a threshold in the dose–effect relationship is generaly observed. For genotoxic carcinogens, it is hard to prove experimentally that a threshold exists and linear no-threshold relationships are generally used to evaluate permissible levels of human exposures.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
More From: Comptes Rendus de l'Academie des Sciences Series III Sciences de la Vie
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.