Cell cycle correlated genes dictate the prognostic power of breast cancer gene lists.

[1]  W. Alexander,et al.  American Society of Clinical Oncology , 2020, Definitions.

[2]  Lajos Pusztai,et al.  Gene expression profiling of breast cancer , 2009, Breast Cancer Research.

[3]  R. Bast,et al.  American Society of Clinical Oncology 2007 update of recommendations for the use of tumor markers in breast cancer. , 2007, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[4]  Urs Eppenberger,et al.  Low E2F1 transcript levels are a strong determinant of favorable breast cancer outcome , 2007, Breast Cancer Research.

[5]  J. Tegnér,et al.  Detecting multivariate differentially expressed genes , 2007, BMC Bioinformatics.

[6]  R. Beroukhim,et al.  Molecular definition of breast tumor heterogeneity. , 2007, Cancer cell.

[7]  I. Ellis,et al.  A gene-expression signature to predict survival in breast cancer across independent data sets , 2007, Oncogene.

[8]  J. Massagué.  Sorting out breast-cancer gene signatures. , 2007, The New England journal of medicine.

[9]  Joshy George,et al.  Genetic reclassification of histologic grade delineates new clinical subtypes of breast cancer. , 2006, Cancer research.

[10]  I. Ellis,et al.  A consensus prognostic gene expression classifier for ER positive breast cancer , 2006, Genome Biology.

[11]  Christine Desmedt,et al.  Proliferation: the Most Prominent Predictor of Clinical Outcome in Breast Cancer , 2006, Cell cycle.

[12]  A. Nobel,et al.  Concordance among Gene-Expression – Based Predictors for Breast Cancer , 2011 .

[13]  T. Sørlie,et al.  Distinct molecular mechanisms underlying clinically relevant subtypes of breast cancer: gene expression analyses across three different platforms , 2006, BMC Genomics.

[14]  A. Nobel,et al.  The molecular portraits of breast tumors are conserved across microarray platforms , 2006, BMC Genomics.

[15]  Gavin D. Grant,et al.  Common markers of proliferation , 2006, Nature Reviews Cancer.

[16]  Roman Rouzier,et al.  Breast Cancer Molecular Subtypes Respond Differently to Preoperative Chemotherapy , 2005, Clinical Cancer Research.

[17]  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.

[18]  I Kimber,et al.  Anti-proliferative effect of estrogen in breast cancer cells that re-express ERalpha is mediated by aberrant regulation of cell cycle genes. , 2005, Journal of molecular endocrinology.

[19]  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.

[20]  J. Foekens,et al.  Gene-expression profiles to predict distant metastasis of lymph-node-negative primary breast cancer , 2005, The Lancet.

[21]  M. Cronin,et al.  A multigene assay to predict recurrence of tamoxifen-treated, node-negative breast cancer. , 2004, The New England journal of medicine.

[22]  Emanuela Scarpi,et al.  Prognostic relevance of histological grade and its components in node-negative breast cancer patients , 2004, Modern Pathology.

[23]  Wei Wang,et al.  A two-gene expression ratio predicts clinical outcome in breast cancer patients treated with tamoxifen. , 2004, Cancer cell.

[24]  T. Delozier,et al.  Proliferative activity in primary breast carcinomas is a salient prognostic factor , 2004, Cancer.

[25]  R. Tibshirani,et al.  Repeated observation of breast tumor subtypes in independent gene expression data sets , 2003, Proceedings of the National Academy of Sciences of the United States of America.

[26]  Van,et al.  A gene-expression signature as a predictor of survival in breast cancer. , 2002, The New England journal of medicine.

[27]  Meland,et al.  The use of molecular profiling to predict survival after chemotherapy for diffuse large-B-cell lymphoma. , 2002, The New England journal of medicine.

[28]  Yudong D. He,et al.  Gene expression profiling predicts clinical outcome of breast cancer , 2002, Nature.

[29]  R. Tibshirani,et al.  Gene expression patterns of breast carcinomas distinguish tumor subclasses with clinical implications , 2001, Proceedings of the National Academy of Sciences of the United States of America.

[30]  D. Botstein,et al.  Singular value decomposition for genome-wide expression data processing and modeling. , 2000, Proceedings of the National Academy of Sciences of the United States of America.

[31]  Christian A. Rees,et al.  Molecular portraits of human breast tumours , 2000, Nature.

[32]  Emma Lees,et al.  Mammary hyperplasia and carcinoma in MMTV-cyclin D1 transgenic mice , 1994, Nature.

[33]  C. Sotiriou,et al.  Gene Expression Pro fi ling in Breast Cancer : Understanding the Molecular Basis of Histologic Grade To Improve Prognosis , 2006 .

[34]  W. McGuire,et al.  Human breast cancer: correlation of relapse and survival with amplification of the HER-2/neu oncogene. , 1987, Science.