Cigarette smoking is associated with an increased risk of leukemia; benzene
, an established leuke-mogen, is present in cigarette smoke. By combining e
pidemiologic data on the health effects of smoking with risk assessment tec
hniques for low-dose extrapolation, we assessed the proportion of smoking-i
nduced total leukemia and acute myeloid leukemia (AML) attributable to the
benzene in cigarette smoke. We fit both linear and quadratic models to data
from two benzene-exposed occupational cohorts to estimate the leukemogenic
potency of benzene. Using multiple-decrement life tables, we calculated li
fetime risks of total leukemia and AML deaths for never, light, and heavy s
mokers. We repeated these calculations, removing the effect of benzene in c
igarettes based on the estimated potencies. From these life tables we deter
mined smoking-attributable risks and benzene-attributable risks. The ratio
of the latter to the former constitutes the proportion of smoking-induced c
ases attributable to benzene. Based on linear potency models, the benzene i
n cigarette smoke contributed from 8 to 48% of smoking-induced total leukem
ia deaths [95% upper confidence limit (UCL), 20-66%], and from 12 to 58% of
smoking-induced AML deaths (95% UCL, 19-121%). The inclusion of a quadrati
c term yielded results that were comparable; however, potency models with o
nly quadratic terms resulted in much lower attributable fractions-all < 1%.
Thus, benzene is estimated to be responsible for approximately one-tenth t
o one-half of smoking-induced total leukemia mortality and up to three-fift
hs of smoking-related AML mortality. In contrast to theoretical arguments t
hat linear models substantially overestimate low-dose risk, linear extrapol
ations from empirical data over a dose range of 10- to 100-fold resulted in
plausible predictions.