I. Linkov et al., ANTICARCINOGENIC RESPONSES IN RODENT CANCER BIOASSAYS ARE NOT EXPLAINED BY RANDOM EFFECTS, TOXICOLOGICAL SCIENCES, 43(1), 1998, pp. 1-9
Anticarcinogenicity in a long-term rodent bioassay is defined as a sta
tistically significant decrease of a specific tumor type in a dosed gr
oup following chemical exposure. About 92% of chemicals tested by the
National Toxicology Program prior to 1983 reveal at least one site wit
h a significant (p less than or equal to 0.05) tumor rate decrease in
one or more tested groups, a result consistent with those of J, K. Has
eman and F, M. Johnson (1996, Mutat. Res. 350, 131-141) for a database
of recently tested chemicals, Detection of tumor decreases in a speci
fic site can be explained not only by biological effects, but also as
a result of random variability in the background tumor rates, decrease
s in body weight, or decreases in survival of treated animals. This pa
per evaluates the rate of false-positive anticarcinogenic findings due
to random effects (variations in tumor rates and the multiple compari
sons undertaken in evaluating a bioassay), while a companion paper add
resses the influence of weight and survival depression. Monte-Carlo si
mulation was conducted to assess the contribution of random effects. T
his contribution was found to be important even when a statistical sig
nificance cutoff of p(o) less than or equal to 0.05 was chosen. If a m
ore stringent statistical criterion was used (p(o) less than or equal
to 0.01 or p less than or equal to 0.005), the proportion of false pos
itive determinations diminishes. The number of anticarcinogens in the
database remains substantially higher than predicted by the simulation
s. An examination of the distribution of all p values (T. Schweder and
E. Spjotvoll, 1982, Biometrika 69, 493-502) also indicates that stati
stically significant anticarcinogenic responses are found in the datab
ase at a higher rate than would result from purely random responses. F
inally, the cross-species prediction of anticarcinogenic responses was
examined in a manner similar to a study of cross-species prediction o
f carcinogenic responses (G. M. Gray et al., 1995, Reg. Toxicol. Pharm
acol. 20, 281-301). The analyses show that anticarcinogenic effects in
one rodent species predict well anticarcinogenic effect in another ro
dent species. It seems likely that biological factors are involved in
anticarcinogenic responses observed in rodent cancer bioassays. (C) 19
98 Society of Toxicology.