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Literature DB >> 15721457

Gene-expression profiling in breast cancer.

Tor-Kristian Jenssen¹, Eivind Hovig.

Abstract

Entities: Disease

Mesh：

Year: 2005 PMID： 15721457 DOI： 10.1016/S0140-6736(05)17959-8

Source DB: PubMed Journal: Lancet ISSN： 0140-6736 Impact factor: 79.321

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Cited

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10 in total

1. Simpler evaluation of predictions and signature stability for gene expression data.

Authors: Yvonne E Pittelkow; Susan R Wilson
Journal: J Biomed Biotechnol Date: 2010-01-10

2. Do DNA microarrays tell the story of gene expression?

Authors: Simon Rosenfeld
Journal: Gene Regul Syst Bio Date: 2010-06-29

3. Gene expression profiling of human lymph node metastases and matched primary breast carcinomas: clinical implications.

Authors: Mika Suzuki; David Tarin
Journal: Mol Oncol Date: 2007-04-07 Impact factor: 6.603

4. A gene expression signature that defines breast cancer metastases.

Authors: Rachel E Ellsworth; Jeff Seebach; Lori A Field; Caroline Heckman; Jennifer Kane; Jeffrey A Hooke; Brad Love; Craig D Shriver
Journal: Clin Exp Metastasis Date: 2008-12-27 Impact factor: 5.150

Review 5. The impact of expression profiling on prognostic and predictive testing in breast cancer.

Authors: J S Reis-Filho; C Westbury; J-Y Pierga
Journal: J Clin Pathol Date: 2006-03 Impact factor: 3.411

6. The molecular portraits of breast tumors are conserved across microarray platforms.

Authors: Zhiyuan Hu; Cheng Fan; Daniel S Oh; J S Marron; Xiaping He; Bahjat F Qaqish; Chad Livasy; Lisa A Carey; Evangeline Reynolds; Lynn Dressler; Andrew Nobel; Joel Parker; Matthew G Ewend; Lynda R Sawyer; Junyuan Wu; Yudong Liu; Rita Nanda; Maria Tretiakova; Alejandra Ruiz Orrico; Donna Dreher; Juan P Palazzo; Laurent Perreard; Edward Nelson; Mary Mone; Heidi Hansen; Michael Mullins; John F Quackenbush; Matthew J Ellis; Olufunmilayo I Olopade; Philip S Bernard; Charles M Perou
Journal: BMC Genomics Date: 2006-04-27 Impact factor: 3.969

Gene-expression profiling in breast cancer.

1. Simpler evaluation of predictions and signature stability for gene expression data.

2. Do DNA microarrays tell the story of gene expression?

3. Gene expression profiling of human lymph node metastases and matched primary breast carcinomas: clinical implications.

4. A gene expression signature that defines breast cancer metastases.

Review 5. The impact of expression profiling on prognostic and predictive testing in breast cancer.

6. The molecular portraits of breast tumors are conserved across microarray platforms.

7. E2F4 regulatory program predicts patient survival prognosis in breast cancer.

8. On the number of close-to-optimal feature sets.

9. An integrated approach for identifying wrongly labelled samples when performing classification in microarray data.

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