Literature DB >> 16455023

Gene expression in breast cancer.

Virginia G Kaklamani1, William J Gradishar.   

Abstract

We now recognize that all breast cancers are not the same. Different characteristics in gene expression profiles result in differential clinical behavior. With the use of gene microarrays, different subtypes of breast cancer have been characterized. The basal subtype is characterized by high expression of keratins 5 and 17, laminin, and fatty acid-binding protein 7. The ERBB2+ subtype is characterized by high expression of genes in the ERBB2 amplicon. The luminal A subtype is characterized by the highest expression of the ER alpha gene. The luminal B and C subtypes have a lower expression of the ER cluster. The importance of these different subtypes lies in the fact that they differ in clinical outcome, with the basal and ERBB2+ subtypes having the worse prognosis and the luminal A group having the best prognosis. Different strategies for evaluating tumors in a clinical setting have been developed. Two such strategies are the 21-gene assay (Oncotype DX; Genomic Health, Redwood City, CA), which is currently in commercial use in the United States, and the 70-gene assay, which has been developed by a group in the Netherlands. These assays have been shown to predict clinical outcome and response to therapy. However, to date these gene assays have not been studied in a prospective manner. Over the next year, prospective clinical trials will be initiated using these predictive tools in the treatment of breast cancer. In the near future, clinical decisions will most likely be dictated by the genetic characteristics of the tumor, with the clinical characteristics becoming less important. Tailoring our treatment based on individual tumor characteristics will help us develop better therapeutic strategies and save many patients from receiving unnecessary toxic therapy.

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Year:  2006        PMID: 16455023     DOI: 10.1007/s11864-006-0047-0

Source DB:  PubMed          Journal:  Curr Treat Options Oncol        ISSN: 1534-6277


  11 in total

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Authors:  Soonmyung Paik; Steven Shak; Gong Tang; Chungyeul Kim; Joffre Baker; Maureen Cronin; Frederick L Baehner; Michael G Walker; Drew Watson; Taesung Park; William Hiller; Edwin R Fisher; D Lawrence Wickerham; John Bryant; Norman Wolmark
Journal:  N Engl J Med       Date:  2004-12-10       Impact factor: 91.245

2.  Gene-expression profiles to predict distant metastasis of lymph-node-negative primary breast cancer.

Authors:  Yixin Wang; Jan G M Klijn; Yi Zhang; Anieta M Sieuwerts; Maxime P Look; Fei Yang; Dmitri Talantov; Mieke Timmermans; Marion E Meijer-van Gelder; Jack Yu; Tim Jatkoe; Els M J J Berns; David Atkins; John A Foekens
Journal:  Lancet       Date:  2005 Feb 19-25       Impact factor: 79.321

3.  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

4.  Telomerase activity and prognosis in primary breast cancers.

Authors:  L A Carey; N W Kim; S Goodman; J Marks; G Henderson; C B Umbricht; J S Dome; W Dooley; S R Amshey; S Sukumar
Journal:  J Clin Oncol       Date:  1999-10       Impact factor: 44.544

5.  Gene expression patterns of breast carcinomas distinguish tumor subclasses with clinical implications.

Authors:  T Sørlie; C M Perou; R Tibshirani; T Aas; S Geisler; H Johnsen; T Hastie; M B Eisen; M van de Rijn; S S Jeffrey; T Thorsen; H Quist; J C Matese; P O Brown; D Botstein; P E Lønning; A L Børresen-Dale
Journal:  Proc Natl Acad Sci U S A       Date:  2001-09-11       Impact factor: 11.205

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.  Effects of chemotherapy and hormonal therapy for early breast cancer on recurrence and 15-year survival: an overview of the randomised trials.

Authors: 
Journal:  Lancet       Date:  2005 May 14-20       Impact factor: 79.321

8.  A gene-expression signature as a predictor of survival in breast cancer.

Authors:  Marc J van de Vijver; Yudong D He; Laura J van't Veer; Hongyue Dai; Augustinus A M Hart; Dorien W Voskuil; George J Schreiber; Johannes L Peterse; Chris Roberts; Matthew J Marton; Mark Parrish; Douwe Atsma; Anke Witteveen; Annuska Glas; Leonie Delahaye; Tony van der Velde; Harry Bartelink; Sjoerd Rodenhuis; Emiel T Rutgers; Stephen H Friend; René Bernards
Journal:  N Engl J Med       Date:  2002-12-19       Impact factor: 91.245

9.  A randomized clinical trial evaluating tamoxifen in the treatment of patients with node-negative breast cancer who have estrogen-receptor-positive tumors.

Authors:  B Fisher; J Costantino; C Redmond; R Poisson; D Bowman; J Couture; N V Dimitrov; N Wolmark; D L Wickerham; E R Fisher
Journal:  N Engl J Med       Date:  1989-02-23       Impact factor: 91.245

Review 10.  Diagnostic and prognostic prediction using gene expression profiles in high-dimensional microarray data.

Authors:  R Simon
Journal:  Br J Cancer       Date:  2003-11-03       Impact factor: 7.640

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  4 in total

Review 1.  SRC: a century of science brought to the clinic.

Authors:  Alexey Aleshin; Richard S Finn
Journal:  Neoplasia       Date:  2010-08       Impact factor: 5.715

2.  Gene expression profiling identifies genes predictive of oral squamous cell carcinoma.

Authors:  Chu Chen; Eduardo Méndez; John Houck; Wenhong Fan; Pawadee Lohavanichbutr; Dave Doody; Bevan Yueh; Neal D Futran; Melissa Upton; D Gregory Farwell; Stephen M Schwartz; Lue Ping Zhao
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2008-07-31       Impact factor: 4.254

3.  LBoost: A boosting algorithm with application for epistasis discovery.

Authors:  Bethany J Wolf; Elizabeth G Hill; Elizabeth H Slate; Carola A Neumann; Emily Kistner-Griffin
Journal:  PLoS One       Date:  2012-11-08       Impact factor: 3.240

4.  Regulation of SRC family kinases in human cancers.

Authors:  Banibrata Sen; Faye M Johnson
Journal:  J Signal Transduct       Date:  2011-04-04
  4 in total

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