Studies on the role of genetically polymorphic enzymes like cytochrome P450
1A1, arylamine N-acetyltransferase 2 or glutathione S-transferase M1 as ca
ncer susceptibility factors date back more than 20 years, and some associat
ions have been confirmed in several studies and meta-analyses. Overall, the
extent of risk modulation due to these polymorphisms is only moderate but
remains epidemiologically relevant. The role of some of these polymorphisms
in human health may even be ambiguous: rapid acetylation, for example, pro
tects from urinary bladder cancer but appears to increase the risk of laryn
geal, lung and colon cancer. The first genetic polymorphisms in xenobiotics
transporters such as P-gp (MDR1) and MRP2 have recently been identified. T
hese polymorphisms may have great impact as cancer susceptibility factors a
s well as factors modulating the out-come of cancer treatment. Enzymes invo
lved in generation or detoxification of reactive oxygen species also have t
o be considered; one of these enzymes, myeloperoxidase, constitutes a relat
ively strong lung cancer risk factor, as confirmed in 4 independent studies
. Other genes, including those coding for DNA repair enzymes, signal transd
uction and cell growth regulation, may ultimately prove more important than
the metabolic enzymes as cancer susceptibility factors. Study designs in m
olecular genetic epidemiology are evolving; large ongoing prospective trial
s increasingly allow confirmatory nested case control studies to be perform
ed. However, carefully controlled, large case-control studies will remain t
he mainstay in molecular genetic epidemiology. Molecular genetic epidemiolo
gical evaluation of response to chemoprevention as well as response to the
adverse events of cancer chemotherapy are likely to provide results that ma
y be useful for individualized prevention and treatment in the near future.
Since routine genotyping of all persons is now feasible, something like a
genotype passport may soon become reality, and molecular and clinical epide
miological studies will have to provide the basis for understanding how to
use genotype data for the benefit of the population. Copyright(C) 2000 S. K
argerAG. Basel.