Literature DB >> 12494462

Breast cancer revisited using DNA array-based gene expression profiling.

François Bertucci1, Patrice Viens, Pascal Hingamp, Valery Nasser, Rémi Houlgatte, Daniel Birnbaum.   

Abstract

Breast cancer is a complex genetic disease characterized by the accumulation of multiple molecular alterations. The resulting clinical heterogeneity makes current diagnostic and therapeutic strategies less than perfectly adapted to each patient. Pathological and clinical factors are insufficient to capture the complex cascade of events that drive the clinical behavior of tumors. High-throughput molecular technologies provide novel tools to tackle this complexity. In particular, DNA arrays allow the simultaneous and quantitative analysis of the mRNA expression levels of thousands of genes in a single assay. Potential applications are multiple in the cancer field and the first research results are promising; comprehensive gene expression profiles of breast tumors are providing insights into mammary oncogenesis and are revealing new tumor subgroups previously indistinguishable. Significant advances will be the identification of new diagnostic, prognostic and predictive biomarkers as well as the discovery of new potential therapeutic targets. This review presents recent applications of DNA arrays in breast cancer research and discusses some issues to address in the near future to allow the technology to reach its full potential. Copyright 2002 Wiley-Liss, Inc.

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Year:  2003        PMID: 12494462     DOI: 10.1002/ijc.10867

Source DB:  PubMed          Journal:  Int J Cancer        ISSN: 0020-7136            Impact factor:   7.396


  10 in total

Review 1.  Personalized medicine and development of targeted therapies: The upcoming challenge for diagnostic molecular pathology. A review.

Authors:  Manfred Dietel; Christine Sers
Journal:  Virchows Arch       Date:  2006-04-22       Impact factor: 4.064

2.  Modeling the effect of tumor size in early breast cancer.

Authors:  Claire Verschraegen; Vincent Vinh-Hung; Gábor Cserni; Richard Gordon; Melanie E Royce; Georges Vlastos; Patricia Tai; Guy Storme
Journal:  Ann Surg       Date:  2005-02       Impact factor: 12.969

Review 3.  Array-CGH and breast cancer.

Authors:  Erik H van Beers; Petra M Nederlof
Journal:  Breast Cancer Res       Date:  2006-06-30       Impact factor: 6.466

4.  Novel markers for differentiation of lobular and ductal invasive breast carcinomas by laser microdissection and microarray analysis.

Authors:  Gulisa Turashvili; Jan Bouchal; Karl Baumforth; Wenbin Wei; Marta Dziechciarkova; Jiri Ehrmann; Jiri Klein; Eduard Fridman; Jozef Skarda; Josef Srovnal; Marian Hajduch; Paul Murray; Zdenek Kolar
Journal:  BMC Cancer       Date:  2007-03-27       Impact factor: 4.430

5.  Genetic variability in MCF-7 sublines: evidence of rapid genomic and RNA expression profile modifications.

Authors:  Mélanie Nugoli; Paul Chuchana; Julie Vendrell; Béatrice Orsetti; Lisa Ursule; Catherine Nguyen; Daniel Birnbaum; Emmanuel J P Douzery; Pascale Cohen; Charles Theillet
Journal:  BMC Cancer       Date:  2003-04-24       Impact factor: 4.430

6.  The highly expressed COL4A1 genes contributes to the proliferation and migration of the invasive ductal carcinomas.

Authors:  Rongzhong Jin; Jia Shen; Tiancheng Zhang; Qiliang Liu; Caihua Liao; Hailin Ma; Sijing Li; Zhaoxia Yu
Journal:  Oncotarget       Date:  2017-04-21

7.  Detection of Disseminated Cancer Cells in Blood.

Authors:  W H Albert; S Hauch; V Zieglschmid; O Böcher
Journal:  EJIFCC       Date:  2005-05-17

8.  Genome-wide expression analysis reveals six contravened targets of EZH2 associated with breast cancer patient survival.

Authors:  Kanchan Kumari; Biswajit Das; Amit K Adhya; Arabinda K Rath; Sandip K Mishra
Journal:  Sci Rep       Date:  2019-02-13       Impact factor: 4.379

9.  SIRAC: Supervised Identification of Regions of Aberration in aCGH datasets.

Authors:  Carmen Lai; Hugo M Horlings; Marc J van de Vijver; Eric H van Beers; Petra M Nederlof; Lodewyk F A Wessels; Marcel J T Reinders
Journal:  BMC Bioinformatics       Date:  2007-10-30       Impact factor: 3.169

10.  Amplified RNA degradation in T7-amplification methods results in biased microarray hybridizations.

Authors:  Andrej-Nikolai Spiess; Nadine Mueller; Richard Ivell
Journal:  BMC Genomics       Date:  2003-11-10       Impact factor: 3.969

  10 in total

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