Risk estimation of distant metastasis in node-negative, estrogen receptor-positive breast cancer patients using an RT-PCR based prognostic expression signature

被引:37
作者
Tutt, Andrew [1 ,2 ]
Wang, Alice [3 ]
Rowland, Charles [3 ]
Gillett, Cheryl [4 ]
Lau, Kit [3 ]
Chew, Karen [5 ]
Dai, Hongyue [6 ]
Kwok, Shirley
Ryder, Kenneth [2 ]
Shu, Henry
Springall, Robert
Cane, Paul [7 ]
McCallie, Blair [3 ]
Kam-Morgan, Lauren [8 ]
Anderson, Steve [8 ]
Buerger, Horst [9 ]
Gray, Joe [10 ]
Bennington, James [11 ]
Esserman, Laura [12 ]
Hastie, Trevor [13 ,14 ]
Broder, Samuel
Sninsky, John [3 ]
Brandt, Burkhard [9 ]
Waldman, Fred [5 ,11 ]
机构
[1] Kings Coll London, Breakthrough Breast Canc Res Unit, London WC2R 2LS, England
[2] Guys Hosp, London SE1 9RT, England
[3] Celera LLC, Alameda, CA USA
[4] Guys & St Thomas Hosp, Breast Res Tissue & Data Bank, London SE1 9RT, England
[5] Univ Calif San Francisco, Ctr Comprehens Canc, San Francisco, CA 94143 USA
[6] Rosetta Inpharmat, Seattle, WA USA
[7] St Thomas Hosp, Dept Cellular Pathol, London, England
[8] Lab Corp Amer, Triangle Park, NC USA
[9] Univ Hamburg, Univ Med Ctr, Inst Tumor Biol, Hamburg, Germany
[10] Univ Calif Berkeley, Lawrence Berkeley Lab, Div Life Sci, Berkeley, CA 94720 USA
[11] Calif Pacific Med Ctr, Dept Pathol, San Francisco, CA USA
[12] Univ Calif San Francisco, Carol Franc Buck Breast Canc, San Francisco, CA 94143 USA
[13] Stanford Univ, Dept Stat, Stanford, CA 94305 USA
[14] Stanford Univ, Dept Hlth Res & Policy, Stanford, CA 94305 USA
关键词
D O I
10.1186/1471-2407-8-339
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Background: Given the large number of genes purported to be prognostic for breast cancer, it would be optimal if the genes identified are not confounded by the continuously changing systemic therapies. The aim of this study was to discover and validate a breast cancer prognostic expression signature for distant metastasis in untreated, early stage, lymph node-negative (N-) estrogen receptor-positive (ER+) patients with extensive follow-up times. Methods: 197 genes previously associated with metastasis and ER status were profiled from 142 untreated breast cancer subjects. A "metastasis score" (MS) representing fourteen differentially expressed genes was developed and evaluated for its association with distant-metastasis-free survival (DMFS). Categorical risk classification was established from the continuous MS and further evaluated on an independent set of 279 untreated subjects. A third set of 45 subjects was tested to determine the prognostic performance of the MS in tamoxifen-treated women. Results: A 14-gene signature was found to be significantly associated (p < 0.05) with distant metastasis in a training set and subsequently in an independent validation set. In the validation set, the hazard ratios (HR) of the high risk compared to low risk groups were 4.02 (95% CI 1.91-8.44) for the endpoint of DMFS and 1.97 (95% CI 1.28 to 3.04) for overall survival after adjustment for age, tumor size and grade. The low and high MS risk groups had 10-year estimates (95% CI) of 96% (90-99%) and 72% (64-78%) respectively, for DMFS and 91% (84-95%) and 68% (61-75%), respectively for overall survival. Performance characteristics of the signature in the two sets were similar. Ki-67 labeling index (LI) was predictive for recurrent disease in the training set, but lost significance after adjustment for the expression signature. In a study of tamoxifen-treated patients, the HR for DMFS in high compared to low risk groups was 3.61 (95% CI 0.86-15.14). Conclusion: The 14-gene signature is significantly associated with risk of distant metastasis. The signature has a predominance of proliferation genes which have prognostic significance above that of Ki-67 LI and may aid in prioritizing future mechanistic studies and therapeutic interventions.
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页数:15
相关论文
共 51 条
[1]   A combinatorial library of lipid-like materials for delivery of RNAi therapeutics [J].
Akinc, Akin ;
Zumbuehl, Andreas ;
Goldberg, Michael ;
Leshchiner, Elizaveta S. ;
Busini, Valentina ;
Hossain, Naushad ;
Bacallado, Sergio A. ;
Nguyen, David N. ;
Fuller, Jason ;
Alvarez, Rene ;
Borodovsky, Anna ;
Borland, Todd ;
Constien, Rainer ;
de Fougerolles, Antonin ;
Dorkin, J. Robert ;
Jayaprakash, K. Narayanannair ;
Jayaraman, Muthusamy ;
John, Matthias ;
Koteliansky, Victor ;
Manoharan, Muthiah ;
Nechev, Lubomir ;
Qin, June ;
Racie, Timothy ;
Raitcheva, Denitza ;
Rajeev, Kallanthottathil G. ;
Sah, Dinah W. Y. ;
Soutschek, Juergen ;
Toudjarska, Ivanka ;
Vornlocher, Hans-Peter ;
Zimmermann, Tracy S. ;
Langer, Robert ;
Anderson, Daniel G. .
NATURE BIOTECHNOLOGY, 2008, 26 (05) :561-569
[2]   NEAREST-NEIGHBOR ESTIMATION OF A BIVARIATE DISTRIBUTION UNDER RANDOM CENSORING [J].
AKRITAS, MG .
ANNALS OF STATISTICS, 1994, 22 (03) :1299-1327
[3]  
[Anonymous], 1994, Modeling Survival Data in Medical Research
[4]   Prediction by supervised principal components [J].
Bair, E ;
Hastie, T ;
Paul, D ;
Tibshirani, R .
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 2006, 101 (473) :119-137
[5]   Semi-supervised methods to predict patient survival from gene expression data [J].
Bair, E ;
Tibshirani, R .
PLOS BIOLOGY, 2004, 2 (04) :511-522
[6]   Evaluation of Ki-67 proliferation and apoptotic index before, during and after neoadjuvant chemotherapy for primary breast cancer [J].
Burcombe, Russell ;
D Wilson, George ;
Dowsett, Mitch ;
Khan, Ifty ;
Richman, Paul I. ;
Daley, Frances ;
Detre, Simone ;
Makris, Andreas .
BREAST CANCER RESEARCH, 2006, 8 (03)
[7]   Validation and clinical utility of a 70-gene prognostic signature for women with node-negative breast cancer [J].
Buyse, Marc ;
Loi, Sherene ;
van't Veer, Laura ;
Viale, Giuseppe ;
Delorenzi, Mauro ;
Glas, Annuska M. ;
d'Assignies, Mahasti Saghatchian ;
Bergh, Jonas ;
Lidereau, Rosette ;
Ellis, Paul ;
Harris, Adrian ;
Bogaerts, Jan ;
Therasse, Patrick ;
Floore, Arno ;
Amakrane, Mohamed ;
Piette, Fanny ;
Rutgers, Emiel ;
Sotiriou, Christos ;
Cardoso, Fatima ;
Piccart, Martine J. .
JNCI-JOURNAL OF THE NATIONAL CANCER INSTITUTE, 2006, 98 (17) :1183-1192
[8]   Race, breast cancer subtypes, and survival in the Carolina Breast Cancer Study [J].
Carey, Lisa A. ;
Perou, Charles M. ;
Livasy, Chad A. ;
Dressler, Lynn G. ;
Cowan, David ;
Conway, Kathleen ;
Karaca, Gamze ;
Troester, Melissa A. ;
Tse, Chiu Kit ;
Edmiston, Sharon ;
Deming, Sandra L. ;
Geradts, Joseph ;
Cheang, Maggie C. U. ;
Nielsen, Torsten O. ;
Moorman, Patricia G. ;
Earp, H. Shelton ;
Millikan, Robert C. .
JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, 2006, 295 (21) :2492-2502
[9]   Robustness, scalability, and integration of a wound-response gene expression signature in predicting breast cancer survival [J].
Chang, HY ;
Nuyten, DSA ;
Sneddon, JB ;
Hastie, T ;
Tibshirani, R ;
Sorlie, T ;
Dai, HY ;
He, YDD ;
van't Veer, LJ ;
Bartelink, H ;
van de Rijn, M ;
Brown, PO ;
van de Vijver, MJ .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2005, 102 (10) :3738-3743
[10]   Proliferative markers as prognostic and predictive tools in early breast cancer: where are we now? [J].
Colozza, M ;
Azambuja, E ;
Cardoso, F ;
Sotiriou, C ;
Larsimont, D ;
Piccart, MJ .
ANNALS OF ONCOLOGY, 2005, 16 (11) :1723-1739