Statistical design for biospecimen cohort size in proteomics-based biomarker discovery and verification studies.

ABSTRACT: Protein biomarkers are needed to deepen our understanding of cancer biology and to improve our ability to diagnose, monitor, and treat cancers. Important analytical and clinical hurdles must be overcome to allow the most promising protein biomarker candidates to advance into clinical validation studies. Although contemporary proteomics technologies support the measurement of large numbers of proteins in individual clinical specimens, sample throughput remains comparatively low. This problem is amplified in typical clinical proteomics research studies, which routinely suffer from a lack of proper experimental design, resulting in analysis of too few biospecimens to achieve adequate statistical power at each stage of a biomarker pipeline. To address this critical shortcoming, a joint worksho

SUBMITTER: Skates SJ 

PROVIDER: S-EPMC4039197 | biostudies-literature | 2013 Dec

REPOSITORIES: biostudies-literature