Literature DB >> 15610685

Gene expression profiling of primary breast cancer.

Roman Rouzier1, Peter Wagner, Paolo Morandi, Lajos Pusztai.   

Abstract

Gene expression profiling is a method to measure the expression of a large number of genes in tissue specimens simultaneously. This analytical technique is actively explored as an emerging diagnostic tool for breast cancer. An important assumption behind this research is that the constellation of multiple genes will be more predictive of clinical outcome than any single gene alone. Gene expression signatures were shown to predict prognosis of breast cancer as well as response to particular chemotherapy regimens. The first multigene predictor of prognosis after tamoxifen therapy is already commercially available in the United States. This article reviews recent advances in the clinical application of this technique to breast cancer.

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Year:  2005        PMID: 15610685     DOI: 10.1007/s11912-005-0024-y

Source DB:  PubMed          Journal:  Curr Oncol Rep        ISSN: 1523-3790            Impact factor:   5.075


  29 in total

1.  Chemosensitivity prediction by transcriptional profiling.

Authors:  J E Staunton; D K Slonim; H A Coller; P Tamayo; M J Angelo; J Park; U Scherf; J K Lee; W O Reinhold; J N Weinstein; J P Mesirov; E S Lander; T R Golub
Journal:  Proc Natl Acad Sci U S A       Date:  2001-09-11       Impact factor: 11.205

Review 2.  Gene expression technology.

Authors:  Xavier de Bolle; Christopher D Bayliss
Journal:  Methods Mol Med       Date:  2003

3.  A molecular signature of metastasis in primary solid tumors.

Authors:  Sridhar Ramaswamy; Ken N Ross; Eric S Lander; Todd R Golub
Journal:  Nat Genet       Date:  2002-12-09       Impact factor: 38.330

4.  Estimating dataset size requirements for classifying DNA microarray data.

Authors:  Sayan Mukherjee; Pablo Tamayo; Simon Rogers; Ryan Rifkin; Anna Engle; Colin Campbell; Todd R Golub; Jill P Mesirov
Journal:  J Comput Biol       Date:  2003       Impact factor: 1.479

5.  Gene expression profiling predicts clinical outcome of breast cancer.

Authors:  Laura J van 't Veer; Hongyue Dai; Marc J van de Vijver; Yudong D He; Augustinus A M Hart; Mao Mao; Hans L Peterse; Karin van der Kooy; Matthew J Marton; Anke T Witteveen; George J Schreiber; Ron M Kerkhoven; Chris Roberts; Peter S Linsley; René Bernards; Stephen H Friend
Journal:  Nature       Date:  2002-01-31       Impact factor: 49.962

6.  Molecular portraits of human breast tumours.

Authors:  C M Perou; T Sørlie; M B Eisen; M van de Rijn; S S Jeffrey; C A Rees; J R Pollack; D T Ross; H Johnsen; L A Akslen; O Fluge; A Pergamenschikov; C Williams; S X Zhu; P E Lønning; A L Børresen-Dale; P O Brown; D Botstein
Journal:  Nature       Date:  2000-08-17       Impact factor: 49.962

7.  Gene expression profiles of primary breast tumors maintained in distant metastases.

Authors:  Britta Weigelt; Annuska M Glas; Lodewyk F A Wessels; Anke T Witteveen; Johannes L Peterse; Laura J van't Veer
Journal:  Proc Natl Acad Sci U S A       Date:  2003-12-09       Impact factor: 11.205

8.  Breast cancer classification and prognosis based on gene expression profiles from a population-based study.

Authors:  Christos Sotiriou; Soek-Ying Neo; Lisa M McShane; Edward L Korn; Philip M Long; Amir Jazaeri; Philippe Martiat; Steve B Fox; Adrian L Harris; Edison T Liu
Journal:  Proc Natl Acad Sci U S A       Date:  2003-08-13       Impact factor: 11.205

9.  Cluster analysis and display of genome-wide expression patterns.

Authors:  M B Eisen; P T Spellman; P O Brown; D Botstein
Journal:  Proc Natl Acad Sci U S A       Date:  1998-12-08       Impact factor: 11.205

10.  Repeated observation of breast tumor subtypes in independent gene expression data sets.

Authors:  Therese Sorlie; Robert Tibshirani; Joel Parker; Trevor Hastie; J S Marron; Andrew Nobel; Shibing Deng; Hilde Johnsen; Robert Pesich; Stephanie Geisler; Janos Demeter; Charles M Perou; Per E Lønning; Patrick O Brown; Anne-Lise Børresen-Dale; David Botstein
Journal:  Proc Natl Acad Sci U S A       Date:  2003-06-26       Impact factor: 12.779

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  4 in total

1.  Identification of novel susceptibility markers for the risk of overall breast cancer as well as subtypes defined by hormone receptor status in the Chinese population.

Authors:  Zhiping Deng; Hua Yang; Qiufang Liu; Zhouquan Wang; Tian Feng; Yongri Ouyang; Tianbo Jin; Hong Ren
Journal:  J Hum Genet       Date:  2016-09-08       Impact factor: 3.172

Review 2.  The pursuit of oncotargets through understanding defective cell regulation.

Authors:  Meng Qiao; Qian Shi; Arthur B Pardee
Journal:  Oncotarget       Date:  2010-11

3.  A population-based study of tumor gene expression and risk of breast cancer death among lymph node-negative patients.

Authors:  Laurel A Habel; Steven Shak; Marlena K Jacobs; Angela Capra; Claire Alexander; Mylan Pho; Joffre Baker; Michael Walker; Drew Watson; James Hackett; Noelle T Blick; Deborah Greenberg; Louis Fehrenbacher; Bryan Langholz; Charles P Quesenberry
Journal:  Breast Cancer Res       Date:  2006-05-31       Impact factor: 6.466

Review 4.  Estrogen-Related Receptors in Breast Cancer and Prostate Cancer.

Authors:  Aya Misawa; Satoshi Inoue
Journal:  Front Endocrinol (Lausanne)       Date:  2015-05-26       Impact factor: 5.555

  4 in total

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