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	原著
言語種別	英語
査読の有無	査読あり
表題	First generation prognostic gene signatures for breast cancer predict both survival and chemotherapy sensitivity and identify overlapping patient populations.
掲載誌名	正式名：Breast cancer research and treatment 略　 称：Breast Cancer Res Treat ISSNコード：15737217/01676806
掲載区分	国外
巻・号・頁	130(1),pp.155-64
著者・共著者	Takayuki Iwamoto, Ju-Seog Lee, Giampaolo Bianchini, Rebekah E Hubbard, Elliana Young, Junji Matsuoka, Sang Bae Kim, W Fraser Symmans, Gabriel N Hortobagyi, Lajos Pusztai
担当区分	筆頭著者
発行年月	2011/11
概要	The aims of this study were to compare the performance of six different genomic prognostic markers to predict long-term survival and chemotherapy response on the same patient cohort and assess if clinicopathological variables carry independent prognostic and predictive values. We examined seven clinical variables and six previously described prognostic signatures on 228 tumors from patients who received homogeneous preoperative chemotherapy and had long-term follow-up information for survival. We used the area under the receiver operator characteristic curve (AUC) to compare predictors and also performed univariate and multivariate analyses including the genomic and clinical variables and plotted Kaplan-Meir survival curves. All genomic prognostic markers had statistically similar AUCs and sensitivity to predict 5-year progression-free survival (PFS, sensitivities ranged from 0.591 to 0.773, and AUCs: 0.599-0.673), overall survival (OS, sensitivities: 0.590-0.769, AUCs: 0.596-0.684) and pathologic complete response (pCR, sensitivities: 0.596-0.851, AUCs: 0.614-0.805). In multivariate analysis, the genomic markers were not independent from one another; however, estrogen receptor (Odds Ratio [OR] 7.63, P < 0.001) and HER2 status (OR: 0.37, P = 0.021) showed significant independent predictive values for pCR. Nodal status remained an independent prognostic, but not predictive, variable (OR for PFS: 2.77, P = 0.021, OR for OS: 3.62, P = 0.01). There was moderate to good agreement between different prediction results in pair-wise comparisons. First-generation prognostic-gene signatures predict both chemotherapy response and long-term survival. When multiple predictors are applied to the same case discordant risk prediction frequently occurs.
DOI	10.1007/s10549-011-1706-9
PMID	21833625