Phase 2 cancer chemoprevention trials are designed to provide estimates of
the efficacy of an agent at a specified dose, and the expected size of the
risk reduction that may be achieved in a subsequent phase 3 randomized tria
l. To allow these trials to be rapid and efficient, the study outcome is mo
dulation of a surrogate endpoint biomarker (SEB), that is, a molecular even
t assumed to be on the causal pathway between the chemopreventive agent and
the desired reduction in cancer incidence. However, SEBs commonly used in
prostate cancer chemoprevention studies, such as prostate-specific antigen,
high grade prostatic intraepithelial neoplasia, proliferation, and apoptos
is, have not been Validated by documenting that changes in the SEBs ultimat
ely translate to decreased prostate cancer risk. Because of uncertainty in
the pathway from SEBs to cancer, additional considerations are necessary to
permit valid inferences from phase 2 trial data. This article considers th
e framework underlying validation and use of SEBs in specific chemopreventi
on models and methodologic issues in quantifying the effect of an agent. in
particular, inferences depend on whether a single pathway involving the SE
Bs is assumed to mediate the effect of the agent on cancer incidence. If th
ere are competing pathways of equal or greater importance than the one invo
lving the candidate SEE, then the estimate of chemopreventive efficacy will
be biased and may greatly underestimate the magnitude of the achievable ri
sk reduction. Strategies for validating biomarkers and minimizing the degre
e of bias in the risk reduction estimate are discussed. Finally, problems a
ssociated with phase 2 study designs commonly used for prostate cancer chem
oprevention are discussed, along with possible solutions.