Filling the gap between risk assessment and molecular determinants of tumor onset
Author(s) -
Federica Chiara,
Stefano Indraccolo,
Andrea Trevisan
Publication year - 2020
Publication title -
carcinogenesis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.688
H-Index - 204
eISSN - 1460-2180
pISSN - 0143-3334
DOI - 10.1093/carcin/bgaa135
Subject(s) - cancer , risk assessment , neoplastic transformation , risk analysis (engineering) , crosstalk , hazard , carcinogen , pace , biology , computational biology , bioinformatics , carcinogenesis , medicine , computer science , genetics , engineering , ecology , computer security , geodesy , electronic engineering , geography
In the past two decades, a ponderous epidemiological literature has causally linked tumor onset to environmental exposure to carcinogens. As consequence, risk assessment studies have been carried out with the aim to identify both predictive models of estimating cancer risks within exposed populations and establishing rules for minimizing hazard when handling carcinogenic compounds. The central assumption of these works is that neoplastic transformation is directly related to the mutational burden of the cell without providing further mechanistic clues to explain increased cancer onset after carcinogen exposure. Nevertheless, in the last few years, a growing number of studies have implemented the traditional models of cancer etiology, proposing that neoplastic transformation is a complex process in which several parameters and crosstalk between tumor and microenvironmental cells must be taken into account and integrated with mutagenesis. In this conceptual framework, the current strategies of risk assessment that are solely based on the ‘mutator model’ require an urgent update and revision to keep pace with advances in our understanding of cancer biology. We will approach this topic revising the most recent theories on the biological mechanisms involved in tumor formation in order to envision a roadmap leading to a future regulatory framework for a new, protective policy of risk assessment.
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