CARCINOGENICITY TESTS AND INTERSPECIES CONCORDANCE

Citation
T. Lin et al., CARCINOGENICITY TESTS AND INTERSPECIES CONCORDANCE, Statistical science, 10(4), 1995, pp. 337-353
Citations number
72
Categorie Soggetti
Statistic & Probability","Statistic & Probability
Journal title
ISSN journal
08834237
Volume
10
Issue
4
Year of publication
1995
Pages
337 - 353
Database
ISI
SICI code
0883-4237(1995)10:4<337:CTAIC>2.0.ZU;2-C
Abstract
According to current policy, chemicals are evaluated for possible canc er risk to humans at low dose by testing in bioassays, where high dose s of the chemical are given to rodents. Thus, risk is extrapolated fro m high dose in rodents to low dose in humans. The accuracy of these ex trapolations is generally unverifiable, since data on humans are limit ed. However, it is feasible to examine the accuracy of extrapolations from mice to rats. If mice and rats are similar with respect to carcin ogenesis, this provides some evidence in favor of interspecies extrapo lations; conversely, if mice and rats are different, this casts doubt on the validity of extrapolations from mice to humans. One measure of interspecies agreement is concordance, the percentage of chemicals tha t are classified the same way as to carcinogenicity in mice and rats. Observed concordance in National Cancer Institute/National Toxicology Program bioassays is around 75%, which may seem on the low side-becaus e mice and rats are closely related species tested under the same expe rimental conditions. Theoretically, observed concordance could underes timate true concordance, due to measurement error in the bioassays. Th us, bias in concordance is of policy interest. Expanding on previous w ork by Piegorsch et al., we show that the bias in observed concordance can be either positive or negative: an observed concordance of 75% ca n arise if the true concordance is anything between 20 and 100%. In pa rticular, observed concordance can seriously overestimate true concord ance. A variety of models more or less fit the data, with quite differ ent implications for bias. Therefore, given our present state of knowl edge, it seems unlikely that true concordance can be determined from b ioassay data.