Differences in human cancer susceptibility have been attributed to pol
ymorphisms of carcinogen metabolizing enzymes. Our efforts have focuse
d on the systems responsible for metabolism of aromatic and heterocycl
ic amines found in cigarette smoke and in cooked foods. Cytochrome P45
01A2 (CYP1A2), which catalyzes aromatic and heterocyclic amine N-oxida
tion, has been implicated as a risk factor in both urinary bladder and
colorectal cancer. In the present study we used the results of caffei
ne phenotyping experiments to measure the effects of cigarette smoke a
nd compounds present in meat cooked at high temperature on CYP1A2 acti
vity. Subjects in the smoking cessation study had mean CYP1A2 activity
of 17.8 (expressed as the urinary molar ratio of [17X + 17U]/137X) wh
ile smoking; however, this activity decreased to 10.9 three weeks afte
r cessation of smoking. Subjects in the cooked meat feeding study had
mean CYP1A2 activity of 9.01 after 1 week of consuming meat cooked at
low temperature, but this value increased to 12.7 after I week of cons
uming meat cooked at high temperature. Because no association has been
identified between differences in CYP1A2 activity and variations in t
he CYP1A2 structural gene, we sought to determine whether the activiti
es of other carcinogen metabolizing enzymes are involved in the regula
tion of CYP1A2 activity. CYP1A2 activity was higher in individuals who
express the GSTM1 null allele compared to those expressing the GSTM1
A,B allele, 10.2 vs. 8.5 for unexposed conditions and 15.0 vs. 12.3 fo
r exposed conditions. CYP1A1 genotyping demonstrated that individuals
possessing the Ile/Ile CYP1A1 genotype had greater mean CYP1A2 activit
y than those who had the heterozygous Ile/Val allelic variant of the C
YP1A1 gene. However, upon exposure to cigarette smoke or high-temperat
ure cooked meat, individuals possessing the heterozygous form of the C
YP1A1 gene had significantly increased CYP1A2 activity (18.1) compared
to those with the more common Ile/Ile CYP1A1 genotype (13.3). These r
esults indicate that CYP1A2, CYP1A1, and GSTM1 gene-gene interactions
could be important confounders in the interpretation of molecular epid
emiology studies.