Risk estimation of distant metastasis in node-negative, estrogen receptor-positive breast cancer patients using an RT-PCR based prognostic expression signature
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Trevor Hastie | Paul Cane | Hongyue Dai | Horst Buerger | Laura Esserman | Robert Springall | Joe Gray | Kit Lau | John Sninsky | T. Hastie | K. Chew | L. Esserman | J. Gray | H. Dai | A. Tutt | J. Sninsky | S. Broder | C. Rowland | S. Kwok | L. Kam-Morgan | B. Brandt | C. Gillett | P. Cane | Alice Wang | S. Anderson | K. Ryder | H. Buerger | R. Springall | Cheryl Gillett | Andrew Tutt | Fred Waldman | James Bennington | Karen Chew | Samuel Broder | Burkhard Brandt | F. Waldman | J. Bennington | Lauren Kam-Morgan | B. McCallie | Shirley Kwok | Alice Wang | Charles Rowland | Kenneth Ryder | Henry Shu | Blair McCallie | Steve Anderson | K. Lau | Henry Shu | J. Gray
[1] I. Ellis,et al. Pathological prognostic factors in breast cancer. , 1999, Critical reviews in oncology/hematology.
[2] J. Foekens,et al. HOXB13-to-IL17BR expression ratio is related with tumor aggressiveness and response to tamoxifen of recurrent breast cancer: a retrospective study. , 2007, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.
[3] I. Ellis,et al. Pathological prognostic factors in breast cancer. I. The value of histological grade in breast cancer: experience from a large study with long-term follow-up. , 2002, Histopathology.
[4] M. Cronin,et al. A multigene assay to predict recurrence of tamoxifen-treated, node-negative breast cancer. , 2004, The New England journal of medicine.
[5] D. Cameron,et al. Pathological features of breast cancer response following neoadjuvant treatment with either letrozole or tamoxifen. , 2003, European journal of cancer.
[6] Yudong D. He,et al. A cell proliferation signature is a marker of extremely poor outcome in a subpopulation of breast cancer patients. , 2005, Cancer research.
[7] A. Vincent-Salomon,et al. Proliferation markers predictive of the pathological response and disease outcome of patients with breast carcinomas treated by anthracycline-based preoperative chemotherapy. , 2004, European journal of cancer.
[8] M. Gilcrease,et al. Ki-67 as Prognostic Marker in Early Breast Cancer: A Meta-analysis of Published Studies Involving 12 155 Patients , 2008 .
[9] J. Bergh,et al. Strong Time Dependence of the 76-Gene Prognostic Signature for Node-Negative Breast Cancer Patients in the TRANSBIG Multicenter Independent Validation Series , 2007, Clinical Cancer Research.
[10] T. Wu,et al. Prospects of RNA interference therapy for cancer , 2006, Gene Therapy.
[11] M. Fernö,et al. "Good Old" clinical markers have similar power in breast cancer prognosis as microarray gene expression profilers. , 2004, European journal of cancer.
[12] D. Collet. Modelling Survival Data in Medical Research , 2004 .
[13] Yudong D. He,et al. Gene expression profiling predicts clinical outcome of breast cancer , 2002, Nature.
[14] E. Kaplan,et al. Nonparametric Estimation from Incomplete Observations , 1958 .
[15] T. Lumley,et al. Time‐Dependent ROC Curves for Censored Survival Data and a Diagnostic Marker , 2000, Biometrics.
[16] J. Foekens,et al. Gene-expression profiles to predict distant metastasis of lymph-node-negative primary breast cancer , 2005, The Lancet.
[17] Russ B. Altman,et al. Missing value estimation methods for DNA microarrays , 2001, Bioinform..
[18] J. Foekens,et al. Multicenter validation of a gene expression-based prognostic signature in lymph node-negative primary breast cancer. , 2006, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.
[19] Kevin Coombes,et al. Prognostic Role of a Multigene Reverse Transcriptase-PCR Assay in Patients with Node-Negative Breast Cancer Not Receiving Adjuvant Systemic Therapy , 2005, Clinical Cancer Research.
[20] R. Tibshirani,et al. Prediction by Supervised Principal Components , 2006 .
[21] Rohit Bhargava,et al. Histopathologic variables predict Oncotype DX™ Recurrence Score , 2008, Modern Pathology.
[22] Mitch Dowsett,et al. Prognostic value of Ki67 expression after short-term presurgical endocrine therapy for primary breast cancer. , 2007, Journal of the National Cancer Institute.
[23] Howard Y. Chang,et al. Robustness, scalability, and integration of a wound-response gene expression signature in predicting breast cancer survival. , 2005, Proceedings of the National Academy of Sciences of the United States of America.
[24] R. Tibshirani,et al. Semi-Supervised Methods to Predict Patient Survival from Gene Expression Data , 2004, PLoS biology.
[25] Jan Mous,et al. Touching base , 2000, Nature Genetics.
[26] R. Tibshirani. Regression Shrinkage and Selection via the Lasso , 1996 .
[27] A. Bednarek,et al. Ki-67 expression in operable breast cancer: a comparative study of immunostaining and a real-time RT-PCR assay. , 2006, Pathology, research and practice.
[28] C Sotiriou,et al. Proliferative markers as prognostic and predictive tools in early breast cancer: where are we now? , 2005, Annals of oncology : official journal of the European Society for Medical Oncology.
[29] R. Spang,et al. Predicting the clinical status of human breast cancer by using gene expression profiles , 2001, Proceedings of the National Academy of Sciences of the United States of America.
[30] M. Akritas. Nearest Neighbor Estimation of a Bivariate Distribution Under Random Censoring , 1994 .
[31] David R. Cox,et al. Regression models and life tables (with discussion , 1972 .
[32] Robert Langer,et al. A combinatorial library of lipid-like materials for delivery of RNAi therapeutics , 2008, Nature Biotechnology.
[33] L. Sobin,et al. Histological Typing of Breast Tumors 1 , 1982 .
[34] L. V. van't Veer,et al. Validation and clinical utility of a 70-gene prognostic signature for women with node-negative breast cancer. , 2006, Journal of the National Cancer Institute.
[35] Thomas D. Schmittgen,et al. Analysis of relative gene expression data using real-time quantitative PCR and the 2(-Delta Delta C(T)) Method. , 2001, Methods.
[36] Daniel F Hayes,et al. Prognostic and predictive factors revisited. , 2005, Breast.
[37] P. Tan,et al. Immunohistochemical detection of Ki67 in breast cancer correlates with transcriptional regulation of genes related to apoptosis and cell death , 2005, Modern Pathology.
[38] P. Hall,et al. An expression signature for p53 status in human breast cancer predicts mutation status, transcriptional effects, and patient survival. , 2005, Proceedings of the National Academy of Sciences of the United States of America.
[39] G. Devi,et al. siRNA-based approaches in cancer therapy , 2006, Cancer Gene Therapy.
[40] C. Perou,et al. Race, breast cancer subtypes, and survival in the Carolina Breast Cancer Study. , 2006, JAMA.
[41] M. Cronin,et al. Gene expression and benefit of chemotherapy in women with node-negative, estrogen receptor-positive breast cancer. , 2006, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.
[42] Robert Tibshirani,et al. An Introduction to the Bootstrap , 1994 .
[43] F. Couch,et al. A Two-Gene Expression Ratio of Homeobox 13 and Interleukin-17B Receptor for Prediction of Recurrence and Survival in Women Receiving Adjuvant Tamoxifen , 2006, Clinical Cancer Research.
[44] Gavin D. Grant,et al. Common markers of proliferation , 2006, Nature Reviews Cancer.
[45] A. Nobel,et al. Concordance among Gene-Expression – Based Predictors for Breast Cancer , 2011 .
[46] Andreas Makris,et al. Evaluation of Ki-67 proliferation and apoptotic index before, during and after neoadjuvant chemotherapy for primary breast cancer , 2006, Breast Cancer Research.
[47] S. Hilsenbeck,et al. The HOXB13:IL17BR expression index is a prognostic factor in early-stage breast cancer. , 2006, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.
[48] R. W. Scarff,et al. Histological typing of breast tumors. , 1982, Tumori.
[49] Yudong D. He,et al. A Gene-Expression Signature as a Predictor of Survival in Breast Cancer , 2002 .
[50] Van,et al. A gene-expression signature as a predictor of survival in breast cancer. , 2002, The New England journal of medicine.
[51] Sunil J Rao,et al. Regression Modeling Strategies: With Applications to Linear Models, Logistic Regression, and Survival Analysis , 2003 .