イワモト　タカユキ   Takayuki Iwamoto   岩本　高行    所属   川崎医科大学  医学部 臨床医学　乳腺甲状腺外科学    職種   講師
論文種別	総説
言語種別	英語
査読の有無	査読あり
表題	Predicting prognosis of breast cancer with gene signatures: are we lost in a sea of data?
掲載誌名	正式名：Genome medicine 略　 称：Genome Med ISSNコード：1756994X/1756994X
掲載区分	国外
巻・号・頁	2(11),pp.81
著者・共著者	Takayuki Iwamoto, Lajos Pusztai
担当区分	筆頭著者
発行年月	2010/11
概要	A large number of prognostic and predictive signatures have been proposed for breast cancer and a few of these are now available in the clinic as new molecular diagnostic tests. However, several other signatures have not fared well in validation studies. Some investigators continue to be puzzled by the diversity of signatures that are being developed for the same purpose but that share few or no common genes. The history of empirical development of prognostic gene signatures and the unique association between molecular subsets and clinical phenotypes of breast cancer explain many of these apparent contradictions in the literature. Three features of breast cancer gene expression contribute to this: the large number of individually prognostic genes (differentially expressed between good and bad prognosis cases); the unstable rankings of differentially expressed genes between datasets; and the highly correlated expression of informative genes.
DOI	10.1186/gm202
PMID	21092148