Joint National Cancer Institute-Food and Drug Administration workshop on research strategies, study designs, and statistical approaches to biomarker validation for cancer diagnosis and detection.
Cancer remains the second leading cause of death in the United States, in spite of tremendous advances made in therapeutic and diagnostic strategies. Successful cancer treatment depends on improved methods to detect cancers at early stages when they can be treated more effectively. Biomarkers for early detection of cancer enable screening of asymptomatic populations and thus play a critical role in cancer diagnosis. However, the approaches for validating biomarkers have yet to be addressed clearly. In an effort to delineate the ambiguities related to biomarker validation and related statistical considerations, the National Cancer Institute, in collaboration with the Food and Drug Administration, conducted a workshop in July 2004 entitled "Research Strategies, Study Designs, and Statistical Approaches to Biomarker Validation for Cancer Diagnosis and Detection." The main objective of this workshop was to review basic considerations underpinning the study designs, statistical methodologies, and novel approaches necessary to rapidly advance the clinical application of cancer biomarkers. The current commentary describes various aspects of statistical considerations and study designs for cancer biomarker validation discussed in this workshop.
Maruvada
Padma
P
Cancer Biomarkers Research Group, Division of Cancer Prevention, National Cancer Institute, NIH, Bethesda, MD 20892-7346, USA.
Srivastava
Sudhir
S
D014408:Biomarkers, Tumor / Q000032:analysis*; D006801:Humans; D007373:Interinstitutional Relations; D009316:National Institutes of Health (U.S.); D009369:Neoplasms / Q000175:diagnosis*; D015203:Reproducibility of Results; D012107:Research Design; D014481:United States; D014486:United States Food and Drug Administration
D014408:Biomarkers, Tumor