Literature DB >> 10096242

GATA-3 is expressed in association with estrogen receptor in breast cancer.

R V Hoch1, D A Thompson, R J Baker, R J Weigel.   

Abstract

To better understand the molecular basis for the hormone-responsive phenotype in breast cancer, we have used a human cDNA array to compare patterns of gene expression between breast carcinoma cell lines discordant for estrogen receptor (ER) expression. These experiments indicated abundant expression of the transcription factor GATA-3 in the ER-positive cell lines MCF7 and T-47D, with minimal or no expression in the ER-negative cells lines MDA-MB-231 and HBL-100. Northern blot analysis of a panel of human breast carcinoma cell lines demonstrated a correlation between ER and GATA-3 expression. Studies of MCF7 cells grown in the absence or presence beta-estradiol indicated that GATA-3 expression was not responsive to estradiol. Protein immunoprecipitation and gel shift analysis confirmed the presence of functional GATA-3 protein in MCF7 but not in HBL-100 nuclear extracts. A panel of 47 primary breast cancers was characterized for expression of ER and GATA-3 using immunoperoxidase assay. In primary tumors, a statistically significant correlation between ER and GATA-3 expression was established (p < 0.0001, chi2). Our results indicate that GATA-3, in association with ER, is likely to regulate genes critical to the hormone-responsive breast cancer phenotype.

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Year:  1999        PMID: 10096242     DOI: 10.1002/(sici)1097-0215(19990420)84:2<122::aid-ijc5>3.0.co;2-s

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


  66 in total

1.  Gata-3 negatively regulates the tumor-initiating capacity of mammary luminal progenitor cells and targets the putative tumor suppressor caspase-14.

Authors:  Marie-Liesse Asselin-Labat; Kate D Sutherland; François Vaillant; David E Gyorki; Di Wu; Sheridan Holroyd; Kelsey Breslin; Teresa Ward; Wei Shi; Mary L Bath; Siddhartha Deb; Stephen B Fox; Gordon K Smyth; Geoffrey J Lindeman; Jane E Visvader
Journal:  Mol Cell Biol       Date:  2011-09-19       Impact factor: 4.272

2.  Expression of cytokeratins 17 and 5 identifies a group of breast carcinomas with poor clinical outcome.

Authors:  Matt van de Rijn; Charles M Perou; Rob Tibshirani; Phillippe Haas; Olli Kallioniemi; Juha Kononen; Joachim Torhorst; Guido Sauter; Markus Zuber; Ossi R Köchli; Frank Mross; Holger Dieterich; Rob Seitz; Doug Ross; David Botstein; Pat Brown
Journal:  Am J Pathol       Date:  2002-12       Impact factor: 4.307

3.  Higher levels of GATA3 predict better survival in women with breast cancer.

Authors:  Nam K Yoon; Erin L Maresh; Dejun Shen; Yahya Elshimali; Sophia Apple; Steve Horvath; Vei Mah; Shikha Bose; David Chia; Helena R Chang; Lee Goodglick
Journal:  Hum Pathol       Date:  2010-12       Impact factor: 3.466

Review 4.  The Novel Marker GATA3 is Significantly More Sensitive Than Traditional Markers Mammaglobin and GCDFP15 for Identifying Breast Cancer in Surgical and Cytology Specimens of Metastatic and Matched Primary Tumors.

Authors:  Ankur R Sangoi; Bijayee Shrestha; George Yang; Ourhay Mego; Andrew H Beck
Journal:  Appl Immunohistochem Mol Morphol       Date:  2016-04

5.  Unraveling the regulatory connections between two controllers of breast cancer cell fate.

Authors:  Jinho Lee; Abhinav Tiwari; Victor Shum; Gordon B Mills; Michael A Mancini; Oleg A Igoshin; Gábor Balázsi
Journal:  Nucleic Acids Res       Date:  2014-05-03       Impact factor: 16.971

6.  Genetic variation in the major mitotic checkpoint genes and risk of breast cancer: a multigenic study on cancer susceptibility.

Authors:  Ping Wang; Yong Wang; Haichao Yan; Qiuping Xie; Liang Zhao; Shaoming Xu; Qunzi Zhao
Journal:  Tumour Biol       Date:  2014-04-08

7.  Indole-3-carbinol triggers aryl hydrocarbon receptor-dependent estrogen receptor (ER)alpha protein degradation in breast cancer cells disrupting an ERalpha-GATA3 transcriptional cross-regulatory loop.

Authors:  Crystal N Marconett; Shyam N Sundar; Kevin M Poindexter; Theresa R Stueve; Leonard F Bjeldanes; Gary L Firestone
Journal:  Mol Biol Cell       Date:  2010-02-03       Impact factor: 4.138

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

Review 9.  GATA-3 and the regulation of the mammary luminal cell fate.

Authors:  Hosein Kouros-Mehr; Jung-whan Kim; Seth K Bechis; Zena Werb
Journal:  Curr Opin Cell Biol       Date:  2008-03-21       Impact factor: 8.382

10.  Quantitative assessment of tissue biomarkers and construction of a model to predict outcome in breast cancer using multiple imputation.

Authors:  John W Emerson; Marisa Dolled-Filhart; Lyndsay Harris; David L Rimm; David P Tuck
Journal:  Cancer Inform       Date:  2008-12-23
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