Literature DB >> 18544966

Lost in translation? A systematic database of gene expression in breast cancer.

Nasser Srour1, Marc André Reymond, Ralf Steinert.   

Abstract

Ten years of translational research in breast cancer (BC) using high-throughput technologies such as cDNA arrays have produced an impressive amount of results. However, it is difficult for a single researcher to overview these results, since no critical synthesis is provided in the literature. This is a meta-analysis of gene expression in BC. Thirteen translational studies fulfilled the inclusion criteria, involving 553 BC patients and 79 controls. Large cohorts of patients and well-defined samples were rare. A total of 1,350 genes were reported at least once to be deregulated in BC. Out of these findings, 1,212 (90%) were not confirmed by other authors. A cohort of 138 genes of particular interest remained for further analysis. Of these, 79 were consistently reported to be overexpressed in BC, 41 to be underexpressed and in 18 cases results were contradictory. The most frequently reported deregulated genes in BC include: GATA binding protein 3, arylamine N-acetyltransferase, Myb-related protein B and zinc transporter SLC39A6 precursor (overexpressed); cadherin-3 precursor, keratin type I cytoskeletal 17 and type II cytoskeletal 5 (underexpressed). These genes obviously correlate with the presence and/or development of BC. More efforts should be devoted to the establishment of common standards in translational BC research. Copyright 2008 S. Karger AG, Basel.

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Year:  2008        PMID: 18544966     DOI: 10.1159/000123849

Source DB:  PubMed          Journal:  Pathobiology        ISSN: 1015-2008            Impact factor:   4.342


  8 in total

1.  Mammary gland zinc metabolism: regulation and dysregulation.

Authors:  Shannon L Kelleher; Young Ah Seo; Veronica Lopez
Journal:  Genes Nutr       Date:  2009-04-02       Impact factor: 5.523

2.  Protein interaction network underpins concordant prognosis among heterogeneous breast cancer signatures.

Authors:  James Chen; Lee Sam; Yong Huang; Younghee Lee; Jianrong Li; Yang Liu; H Rosie Xing; Yves A Lussier
Journal:  J Biomed Inform       Date:  2010-03-27       Impact factor: 6.317

Review 3.  [Beyond staging, typing and grading. New challenges in breast cancer pathology].

Authors:  H H Kreipe; P Ahrens; M Christgen; U Lehmann; F Länger
Journal:  Pathologe       Date:  2010-02       Impact factor: 1.011

4.  Population variability of rhesus macaque (Macaca mulatta) NAT1 gene for arylamine N-acetyltransferase 1: Functional effects and comparison with human.

Authors:  Sotiria Boukouvala; Zoi Chasapopoulou; Despina Giannouri; Evanthia Kontomina; Nikolaos Marinakis; Sophia V Rizou; Ioanna Stefani; Theodora Tsirka; Charlotte Veyssière; Sofia Zaliou; Audrey Sabbagh; Brigitte Crouau-Roy; Giannoulis Fakis
Journal:  Sci Rep       Date:  2019-07-29       Impact factor: 4.379

5.  Molecular Subtyping and Outlier Detection in Human Disease Using the Paraclique Algorithm.

Authors:  Ronald D Hagan; Michael A Langston
Journal:  Algorithms       Date:  2021-02-19

6.  Comparison of breast cancer to healthy control tissue discovers novel markers with potential for prognosis and early detection.

Authors:  Michèl Schummer; Ann Green; J David Beatty; Beth Y Karlan; Scott Karlan; Jenny Gross; Sean Thornton; Martin McIntosh; Nicole Urban
Journal:  PLoS One       Date:  2010-02-09       Impact factor: 3.240

7.  The utility of conventional and molecular pathology in managing breast cancer.

Authors:  D Craig Allred
Journal:  Breast Cancer Res       Date:  2008-12-18       Impact factor: 6.466

8.  Evaluating Serum Markers for Hormone Receptor-Negative Breast Cancer.

Authors:  Michèl Schummer; Jason Thorpe; Maria D Giraldez; Maria Giraldez; Lindsay Bergan; Muneesh Tewari; Nicole Urban
Journal:  PLoS One       Date:  2015-11-13       Impact factor: 3.240

  8 in total

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