Literature DB >> 19879448

Gene expression profiling: decoding breast cancer.

Femke de Snoo1, Richard Bender, Annuska Glas, Emiel Rutgers.   

Abstract

Gene expression assays that are used in daily clinical practice for treating early breast cancer patients have been introduced in the clinic only recently. This review discusses the development of these arrays, summarizes the validation of those that are commercially available and indicates how the information provided by these assays can help in the care of patients. The review also provides an extensive overview of commercially available assays focusing on MammaPrint, the first and only assay for breast cancer management that has been cleared by the FDA.

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Year:  2009        PMID： 19879448     DOI： 10.1016/j.suronc.2009.07.005

Source DB:  PubMed          Journal:  Surg Oncol        ISSN： 0960-7404            Impact factor:   3.279


  12 in total

1.  Genomic classifier ColoPrint predicts recurrence in stage II colorectal cancer patients more accurately than clinical factors.

Authors:  Scott Kopetz; Josep Tabernero; Robert Rosenberg; Zhi-Qin Jiang; Víctor Moreno; Thomas Bachleitner-Hofmann; Giovanni Lanza; Lisette Stork-Sloots; Dipen Maru; Iris Simon; Gabriel Capellà; Ramon Salazar
Journal:  Oncologist       Date:  2015-01-05

2.  [Diagnostic work-up for lymph node metastases of urological tumors].

Authors:  M Seitz; M Bader; F Strittmatter; C Gratzke; D Tilki; A Roosen; B Schlenker; O Reich; C Stief
Journal:  Urologe A       Date:  2010-03       Impact factor: 0.639

3.  Classical and Novel Prognostic Markers for Breast Cancer and their Clinical Significance.

Authors:  Pankaj Taneja; Dejan Maglic; Fumitake Kai; Sinan Zhu; Robert D Kendig; Elizabeth A Fry; Kazushi Inoue
Journal:  Clin Med Insights Oncol       Date:  2010-04-20

4.  Predictive response-relevant clustering of expression data provides insights into disease processes.

Authors:  Lisa E M Hopcroft; Martin W McBride; Keith J Harris; Amanda K Sampson; John D McClure; Delyth Graham; Graham Young; Tessa L Holyoake; Mark A Girolami; Anna F Dominiczak
Journal:  Nucleic Acids Res       Date:  2010-06-22       Impact factor: 16.971

5.  Biological functions of the genes in the mammaprint breast cancer profile reflect the hallmarks of cancer.

Authors:  Sun Tian; Paul Roepman; Laura J Van't Veer; Rene Bernards; Femke de Snoo; Annuska M Glas
Journal:  Biomark Insights       Date:  2010-11-28

Review 6.  Recognizing the Limitations of Cancer Overdiagnosis Studies: A First Step Towards Overcoming Them.

Authors:  Ruth Etzioni; Roman Gulati
Journal:  J Natl Cancer Inst       Date:  2015-11-18       Impact factor: 13.506

7.  Do two machine-learning based prognostic signatures for breast cancer capture the same biological processes?

Authors:  Yotam Drier; Eytan Domany
Journal:  PLoS One       Date:  2011-03-14       Impact factor: 3.240

8.  A prognosis classifier for breast cancer based on conserved gene regulation between mammary gland development and tumorigenesis: a multiscale statistical model.

Authors:  Yingpu Tian; Baozhen Chen; Pengfei Guan; Yujia Kang; Zhongxian Lu
Journal:  PLoS One       Date:  2013-04-02       Impact factor: 3.240

9.  State of the art in tumor antigen and biomarker discovery.

Authors:  Klervi Even-Desrumeaux; Daniel Baty; Patrick Chames
Journal:  Cancers (Basel)       Date:  2011-06-09       Impact factor: 6.639

Review 10.  Gene expression analysis in RA: towards personalized medicine.

Authors:  A N Burska; K Roget; M Blits; L Soto Gomez; F van de Loo; L D Hazelwood; C L Verweij; A Rowe; G N Goulielmos; L G M van Baarsen; F Ponchel
Journal:  Pharmacogenomics J       Date:  2014-03-04       Impact factor: 3.550
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