Pharmacogenomic biomarkers for personalized medicine. (June 2013)

• Record Type: Journal Article
• Authors: Chen, James J; Lin, Wei-Jiun; Chen, Hung-Chia
• Is Part Of: Pharmacogenomics. Volume 14:Number 8(2013)
• Page Start: 969
• Page End: 980
• Publication Date: 2013-06
• Subjects: biomarker identification -- biomarkers of susceptibility -- prognostic and predictive biomarkers -- subgroup identification -- survival risk prediction; Pharmacogenomics -- Periodicals; 615.1
• DOI: 10.2217/pgs.13.75
• Languages: English
• ISSNs: 1462-2416

Abstract

Pharmacogenomics examines how the benefits and adverse effects of a drug vary among patients in a target population by analyzing genomic profiles of individual patients. Personalized medicine prescribes specific therapeutics that best suit an individual patient. Much current research focuses on developing genomic biomarkers to identify patients, to identify which patients would benefit from a treatment, have an adverse response, or no response at all, prior to treatment according to relevant differences in risk factors, disease types and/or responses to therapy. This review describes the use of the two personalized medicine biomarkers, prognostic and predictive, to classify patients into subgroups for treatment recommendation.