title: Quantitative science methods for biomarker validation in chemoprevention trials.
abstract: Even the most common malignancies have a low probability of occurrence over a restricted time interval. Therefore controlled intervention studies that use incident cancer as an outcome must be large, lengthy and, hence, costly. Studies with surrogate outcomes - biomarkers of pre-clinical carcinogenesis - are attractive because they are potentially smaller, shorter, and less expensive than their counterparts with cancer outcomes. Despite their potential, however, surrogate outcomes require validation to ensure that they provide sufficient quality of evidence on intervention effects. We review methods that have been proposed over the past 15 years for such validation. The two main approaches are those based on the Prentice criterion, which require data from a single study, and those based on meta-analysis, which require data from many studies. The former approach has fallen out of favor, for reasons to be explained. The latter approach is more popular, but so demanding of resources that it may prove impractical for cancer chemoprevention in all but a few instances. Researchers may have to resign themselves to more limited use of surrogate outcomes, not as replacements for traditional outcomes, but as outcomes for Phase II studies designed to decide which interventions to pass for Phase III testing.
authors.affiliation: Bar Ilan University and Gertner Institute for Epidemiology and Health Policy Research, Tel Hashomer, Israel. lsf@actcom.co.il
authors.forename: Laurence
authors.initials: L
authors.lastname: Freedman
mesh_terms: D000818:Animals; D000970:Antineoplastic Agents / Q000627:therapeutic use*; D014408:Biomarkers, Tumor; D018890:Chemoprevention; D002986:Clinical Trials as Topic; D006801:Humans; D009369:Neoplasms / Q000517:prevention & control*; D015203:Reproducibility of Results; D012107:Research Design
chemical_list: D000970:Antineoplastic Agents; D014408:Biomarkers, Tumor