Gene expression signatures in breast cancer distinguish phenotype characteristics, histologic subtypes, and tumor invasiveness

The development of reliable gene expression profiling technology is having an increasing impact on the understanding of breast cancer biology.

[1]  B. Reich.  Primary Therapy of Early Breast Cancer: Wenig Änderungen, deutsche Leitlinien konkreter und weiter , 2011 .

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

[3]  M. Ellis,et al.  ESR1 gene amplification in breast cancer: a common phenomenon? , 2008, Nature Genetics.

[4]  Vladimir Benes,et al.  Transient cyclical methylation of promoter DNA , 2008, Nature.

[5]  J. O’Shaughnessy,et al.  Molecular signatures predict outcomes of breast cancer. , 2006, The New England journal of medicine.

[6]  J. C. Wilkinson,et al.  XIAP Is a copper binding protein deregulated in Wilson's disease and other copper toxicosis disorders. , 2006, Molecular cell.

[7]  E. Winer,et al.  NCCN Task Force Report: Adjuvant Therapy for Breast Cancer. , 2006, Journal of the National Comprehensive Cancer Network : JNCCN.

[8]  Feng Chen,et al.  Statistical analysis of real-time PCR data , 2006, BMC Bioinformatics.

[9]  C. S. Lee,et al.  Gene expression profiling in breast cancer: towards individualising patient management , 2005 .

[10]  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.

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

[12]  S. Lakhani,et al.  Molecular evolution of breast cancer , 2005, The Journal of pathology.

[13]  Eytan Domany,et al.  Outcome signature genes in breast cancer: is there a unique set? , 2004, Breast Cancer Research.

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

[15]  Y. Ishii,et al.  A mutation in the serum and glucocorticoid-inducible kinase-like kinase (Sgkl) gene is associated with defective hair growth in mice. , 2004, DNA research : an international journal for rapid publication of reports on genes and genomes.

[16]  Lluís Jover,et al.  Estimating the Generalized Concordance Correlation Coefficient through Variance Components , 2003, Biometrics.

[17]  Jane Fridlyand,et al.  Differentiation of lobular versus ductal breast carcinomas by expression microarray analysis. , 2003, Cancer research.

[18]  S. Lakhani,et al.  The diagnosis and management of pre-invasive breast disease: Genetic alterations in pre-invasive lesions , 2003, Breast Cancer Research.

[19]  R. Salunga,et al.  Gene expression profiles of human breast cancer progression , 2003, Proceedings of the National Academy of Sciences of the United States of America.

[20]  R. Nicholson,et al.  The LZT proteins; the LIV-1 subfamily of zinc transporters. , 2003, Biochimica et biophysica acta.

[21]  Rafael A Irizarry,et al.  Exploration, normalization, and summaries of high density oligonucleotide array probe level data. , 2003, Biostatistics.

[22]  D. Coradini,et al.  Infiltrating ductal and lobular breast carcinomas are characterised by different interrelationships among markers related to angiogenesis and hormone dependence , 2002, British Journal of Cancer.

[23]  I. Bièche,et al.  Genetic pathways in the evolution of breast ductal carcinoma in situ , 2002, The Journal of pathology.

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

[25]  Alex E. Lash,et al.  Gene Expression Omnibus: NCBI gene expression and hybridization array data repository , 2002, Nucleic Acids Res..

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

[27]  F. Speleman,et al.  Accurate normalization of real-time quantitative RT-PCR data by geometric averaging of multiple internal control genes , 2002, Genome Biology.

[28]  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.

[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]  L. Holmberg,et al.  Tumour markers in breast carcinoma correlate with grade rather than with invasiveness , 2001, British Journal of Cancer.

[31]  J. Marks,et al.  A SAGE (serial analysis of gene expression) view of breast tumor progression. , 2001, Cancer research.

[32]  R. Tibshirani,et al.  Significance analysis of microarrays applied to the ionizing radiation response , 2001, Proceedings of the National Academy of Sciences of the United States of America.

[33]  S. Naito,et al.  Human homologues of the Caenorhabditis elegans cell polarity protein PAR6 as an adaptor that links the small GTPases Rac and Cdc42 to atypical protein kinase C , 2001, Genes to cells : devoted to molecular & cellular mechanisms.

[34]  Stefan Handt,et al.  Differences in genetic alterations between primary lobular and ductal breast cancers detected by comparative genomic hybridization , 2001, The Journal of pathology.

[35]  J. Sudbø,et al.  Gene-expression profiles in hereditary breast cancer. , 2001, The New England journal of medicine.

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

[37]  S. Hellman,et al.  Clinical progression of breast cancer malignant behavior: what to expect and when to expect it. , 2000, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[38]  D. Hanahan,et al.  The Hallmarks of Cancer , 2000, Cell.

[39]  Mike Clarke,et al.  Tamoxifen for early breast cancer: an overview of the randomised trials , 1998, The Lancet.

[40]  J Isola,et al.  Genetic alterations in lobular breast cancer by comparative genomic hybridization , 1997, International journal of cancer.

[41]  Y. Benjamini,et al.  Controlling the false discovery rate: a practical and powerful approach to multiple testing , 1995 .