Personalized Medicine in Breast Cancer: A Systematic Review.
10.4048/jbc.2012.15.3.265
- Author:
Sang Hoon CHO
1
;
Jongsu JEON
;
Seung Il KIM
Author Information
1. Department of Statistics and Actuarial Science, Soongsil University, Seoul, Korea.
- Publication Type:Review
- Keywords:
Biomarker discovery;
Breast neoplasms;
Individualized medicine;
Predictive biomarker;
Prognostic biomarker
- MeSH:
Biomarkers;
Breast;
Breast Neoplasms;
Delivery of Health Care;
Humans;
Precision Medicine
- From:Journal of Breast Cancer
2012;15(3):265-272
- CountryRepublic of Korea
- Language:English
-
Abstract:
The recent advent of "-omics" technologies have heralded a new era of personalized medicine. Personalized medicine is referred to as the ability to segment heterogeneous subsets of patients whose response to a therapeutic intervention within each subset is homogeneous. This new paradigm in healthcare is beginning to affect both research and clinical practice. The key to success in personalized medicine is to uncover molecular biomarkers that drive individual variability in clinical outcomes or drug responses. In this review, we begin with an overview of personalized medicine in breast cancer and illustrate the most encountered statistical approaches in the recent literature tailored for uncovering gene signatures.
