Genomic approaches to outcome prediction in prostate cancer.
Prostate cancer remains a common cause of cancer death in men. Applications of emerging genomic technologies to high-quality prostate cancer models and patient samples in multiple contexts have made significant contributions to our molecular understanding of the development and progression of prostate cancer. Genomic analysis of DNA, RNA, and protein alterations allows for the global assessment of this disease and provides the molecular framework to improve risk classification, outcome prediction, and development of targeted therapies. In this review, the author focused on highlighting recent work in genomics and its role in evaluating molecular modifiers of prostate cancer risk and behavior and the development of predictive models that anticipate the risk of developing prostate cancer, prostate cancer progression, and the response of prostate cancer to therapy. This framework has the exciting potential to be predictive and to provide personalized and individual treatment to the large number of men diagnosed with prostate cancer each year. Cancer 2009;115(13 suppl):3046-57. (c) 2009 American Cancer Society.
Febbo
Phillip G
PG
Department of Medicine Duke Institute for Genome Sciences and Policy, Duke University, Durham, North Carolina, USA. phil.febbo@duke.edu
D044127:Epigenesis, Genetic; D005544:Forecasting; D020869:Gene Expression Profiling; D023281:Genomics; D006801:Humans; D008297:Male; D011110:Polymorphism, Genetic; D011471:Prostatic Neoplasms / Q000235:genetics* / Q000628:therapy; D012307:Risk Factors; D016896:Treatment Outcome