Quantifiable, well-characterized cancer risk factors demonstrate the n
eed for chemoprevention and define cohorts for chemopreventive interve
ntion. For chemoprevention, the important cancer risk factors are thos
e that can be measured quantitatively in the subject at risk. These fa
ctors, called risk biomarkers, can be used to identify cohorts for che
moprevention. Those modulated by chemopreventive agents may also be us
ed as endpoints in chemoprevention studies. Generally, the risk biomar
kers fit into categories based on those previously defined by Hulka: 1
) carcinogen exposure, 2) carcinogen exposure/effect, 3) genetic predi
sposition, 4) intermediate biomarkers of cancer, and 5) previous cance
rs. Besides their use in characterizing cohorts for chemoprevention tr
ials, some risk biomarkers can be modulated by chemopreventive agents.
These biomarkers may be suitable surrogate endpoints for cancer incid
ence in chemoprevention intervention trials. The criteria for risk bio
markers defining cohorts and serving as endpoints are the same, except
that those defining cohorts are not necessarily modulated by chemopre
ventive agents. A primary criterion is that the biomarkers fit expecte
d biological mechanisms of early carcinogenesis-i.e., differential exp
ression in normal and high-risk tissue, on or closely linked to the ca
usal pathway for the cancer, and short latency compared with cancer. T
hey must occur in sufficient number to allow their biological and stat
istical evaluation. Further, the biomarkers should be assayed reliably
and quantitatively, measured easily, and correlated to cancer inciden
ce. Particularly important for cancer risk screening in normal subject
s is the ability to use noninvasive techniques that are highly specifi
c, sensitive, and quantitative. Since carcinogenesis is a multipath pr
ocess, single biomarkers are difficult to correlate to cancer, as they
may appear on only one or a few of the many possible causal pathways.
As shown in colorectal carcinogenesis, the risks associated with the
presence of biomarkers may be additive or synergistic. That is, the ac
cumulation of genetic lesions is the more important determinant of col
orectal cancer compared with the presence of any single lesion. Thus,
batteries of biomarker abnormalities, particularly those representing
the range of carcinogenesis pathways, may prove more useful than singl
e biomarkers both in characterizing cohorts at risk and defining modul
atable risks. Risk biomarkers are already being integrated into many c
hemoprevention intervention trials. One example is the phase II trial
of oltipraz inhibition of carcinogen-DNA adducts in a Chinese populati
on exposed to aflatoxin B-1. Also, urine samples from subjects in this
trial will be screened for the effect of oltipraz on urinary mutagens
. A second example is a chemoprevention protocol developed for patient
s at high risk for breast cancer; the cohort is defined both by heredi
tary risk and the presence of biomarker abnormalities. Modulation of t
he biomarker abnormalities is a proposed endpoint. Also, dysplastic le
sions, such as prostatic intraepithelial neoplasia, oral leukoplakia a
nd colorectal adenomas, have been used to define high-risk cohorts and
as potential modulatable surrogate endpoints in chemoprevention trial
s. (C) 1997 Wiley-Liss, Inc.(dagger)