RISK-ESTIMATION FROM SOMATIC MUTATION ASSAYS

Citation
Ja. Heddle et Rr. Swiger, RISK-ESTIMATION FROM SOMATIC MUTATION ASSAYS, Mutation research. Reviews in genetic toxicology, 365(1-3), 1996, pp. 107-117
Citations number
69
Categorie Soggetti
Genetics & Heredity",Toxicology
ISSN journal
01651110
Volume
365
Issue
1-3
Year of publication
1996
Pages
107 - 117
Database
ISI
SICI code
0165-1110(1996)365:1-3<107:RFSMA>2.0.ZU;2-9
Abstract
The ability to quantify somatic mutations in vivo provides a new sourc e of toxicological information that is relevant to the assessment of c ancer risk. The major experimental factors that influence the mutant f requency are age, time after treatment, treatment protocol, and tissue analyzed. In untreated mice, the mutant frequency increases very rapi dly with age from conception to birth, more slowly from birth to adult hood, and very slowly thereafter. All somatic tissues studied so far i n adults have similar mutant frequencies, The time after treatment (ex pression time) is the most important experimental variable. The minimu m time for expression varies from one tissue to another. To be valid, comparisons between tissues and treatments must be made after complete expression of the mutations. Unfortunately, the minimum expression ti me has not been characterized in most tissues. Since carcinogens are t issue specific, and many chemicals are distributed in the body in comp lex patterns, it is to be expected that there will be differences in t he frequency of mutation induced in different tissues, As yet this has not been extensively studied. Since the mutations detected by the tra nsgenic assays are neutral, the mutants should accumulate as the integ ral of the mutation rate. Hence chronic treatment protocols should be more effective than acute and subacute protocols whenever they permit substantially larger doses to be delivered. Such protocols are more re levant to human exposure and are preferable for dose extrapolations. T he importance of transcription in determining mutation rates is not ye t known, but it is noteworthy that the transgenes are not transcribed whereas the loci involved in carcinogenesis are. The mutation spectrum is important for quantitative risk estimation. Risk estimation must a lso take into account the spectrum of mutations that are involved in t he carcinogenic process in the tissue and the spectrum of mutations th at are detectable by the assay. New assays are being used to quantify mutations in vivo in order to understand the carcinogenic process, to search for the environmental factors involved in human cancer, and to evaluate the carcinogenic hazard qualitatively.