Literature DB >> 16514628

Comparative gene expression profiling reveals partially overlapping but distinct genomic actions of different antiestrogens in human breast cancer cells.

Claudio Scafoglio1, Concetta Ambrosino, Luigi Cicatiello, Lucia Altucci, Mario Ardovino, Paola Bontempo, Nicola Medici, Anna Maria Molinari, Angela Nebbioso, Angelo Facchiano, Raffaele A Calogero, Ran Elkon, Nadia Menini, Riccardo Ponzone, Nicoletta Biglia, Piero Sismondi, Michele De Bortoli, Alessandro Weisz.   

Abstract

Antiestrogens used for breast cancer (BC) treatment differ among each other for the ability to affect estrogen receptor (ER) activity and thereby inhibit hormone-responsive cell functions and viability. We used high-density cDNA microarrays for a comprehensive definition of the gene pathways affected by 17beta-estradiol (E2), ICI 182,780 (ICI), 4OH-tamoxifen (Tamoxifen), and raloxifene (RAL) in ER-positive ZR-75.1 cells, a suitable model to investigate estrogen and antiestrogen actions in hormone-responsive BC. The expression of 601 genes was significantly affected by E2 in these cells; in silico analysis reveals that 86 among them include one or more potential ER binding site within or near the promoter and that the binding site signatures for E2F-1, NF-Y, and NRF-1 transcription factors are significantly enriched in the promoters of genes induced by estrogen treatment, while those for CAC-binding protein and LF-A1 in those repressed by the hormone, pointing to novel transcriptional effectors of secondary responses to estrogen in BC cells. Interestingly, expression of 176 E2-regulated mRNAs was unaffected by any of the antiestrogens tested, despite the fact that under the same conditions the transcriptional and cell cycle stimulatory activities of ER were inhibited. On the other hand, of 373 antiestrogen-responsive genes identified here, 52 were unresponsive to estrogen and 25% responded specifically to only one of the compounds tested, revealing non-overlapping and clearly distinguishable effects of the different antiestrogens in BC cells. As some of these differences reflect specificities of the mechanism of action of the antiestrogens tested, we propose to exploit this gene set for characterization of novel hormonal antagonists and selective estrogen receptor modulators (SERMs) and as a tool for testing new associations of antiestrogens, more effective against BC. (c) 2006 Wiley-Liss, Inc.

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Year:  2006        PMID: 16514628     DOI: 10.1002/jcb.20820

Source DB:  PubMed          Journal:  J Cell Biochem        ISSN: 0730-2312            Impact factor:   4.429


  19 in total

1.  Effects of oestrogen on microRNA expression in hormone-responsive breast cancer cells.

Authors:  Lorenzo Ferraro; Maria Ravo; Giovanni Nassa; Roberta Tarallo; Maria Rosaria De Filippo; Giorgio Giurato; Francesca Cirillo; Claudia Stellato; Silvana Silvestro; Concita Cantarella; Francesca Rizzo; Daniela Cimino; Olivier Friard; Nicoletta Biglia; Michele De Bortoli; Luigi Cicatiello; Ernesto Nola; Alessandro Weisz
Journal:  Horm Cancer       Date:  2012-06       Impact factor: 3.869

2.  Estrogen receptor alpha controls a gene network in luminal-like breast cancer cells comprising multiple transcription factors and microRNAs.

Authors:  Luigi Cicatiello; Margherita Mutarelli; Oli M V Grober; Ornella Paris; Lorenzo Ferraro; Maria Ravo; Roberta Tarallo; Shujun Luo; Gary P Schroth; Martin Seifert; Christian Zinser; Maria Luisa Chiusano; Alessandra Traini; Michele De Bortoli; Alessandro Weisz
Journal:  Am J Pathol       Date:  2010-03-26       Impact factor: 4.307

3.  USP32 is an active, membrane-bound ubiquitin protease overexpressed in breast cancers.

Authors:  Shiva Akhavantabasi; Hesna B Akman; Aysegul Sapmaz; Jennifer Keller; Elizabeth M Petty; Ayse E Erson
Journal:  Mamm Genome       Date:  2010-06-13       Impact factor: 2.957

4.  An innovative method to classify SERMs based on the dynamics of estrogen receptor transcriptional activity in living animals.

Authors:  Gianpaolo Rando; David Horner; Andrea Biserni; Balaji Ramachandran; Donatella Caruso; Paolo Ciana; Barry Komm; Adriana Maggi
Journal:  Mol Endocrinol       Date:  2010-03-02

5.  Role of SP transcription factors in hormone-dependent modulation of genes in MCF-7 breast cancer cells: microarray and RNA interference studies.

Authors:  Fei Wu; Ivan Ivanov; Rui Xu; Stephen Safe
Journal:  J Mol Endocrinol       Date:  2008-10-24       Impact factor: 5.098

6.  Antiestrogen Resistance and the Application of Systems Biology.

Authors:  Kerrie B Bouker; Yue Wang; Jianhua Xuan; Robert Clarke
Journal:  Drug Discov Today Dis Mech       Date:  2012-12-01

7.  Emergence of hormonal and redox regulation of galectin-1 in placental mammals: implication in maternal-fetal immune tolerance.

Authors:  Nandor Gabor Than; Roberto Romero; Offer Erez; Amy Weckle; Adi L Tarca; John Hotra; Asad Abbas; Yu Mi Han; Sung-Su Kim; Juan Pedro Kusanovic; Francesca Gotsch; Zhuocheng Hou; Joaquin Santolaya-Forgas; Kurt Benirschke; Zoltan Papp; Lawrence I Grossman; Morris Goodman; Derek E Wildman
Journal:  Proc Natl Acad Sci U S A       Date:  2008-09-29       Impact factor: 11.205

Review 8.  Targeting the Y/CCAAT box in cancer: YB-1 (YBX1) or NF-Y?

Authors:  D Dolfini; R Mantovani
Journal:  Cell Death Differ       Date:  2013-03-01       Impact factor: 15.828

9.  ERalpha as ligand-independent activator of CDH-1 regulates determination and maintenance of epithelial morphology in breast cancer cells.

Authors:  Maria Dafne Cardamone; Chiara Bardella; Arantxa Gutierrez; Luciano Di Croce; Michael G Rosenfeld; Maria Flavia Di Renzo; Michele De Bortoli
Journal:  Proc Natl Acad Sci U S A       Date:  2009-04-21       Impact factor: 11.205

10.  Combinatory RNA-Sequencing Analyses Reveal a Dual Mode of Gene Regulation by ADAR1 in Gastric Cancer.

Authors:  Charles J Cho; Jaeeun Jung; Lushang Jiang; Eun Ji Lee; Dae-Soo Kim; Byung Sik Kim; Hee Sung Kim; Hwoon-Yong Jung; Ho-June Song; Sung Wook Hwang; Yangsoon Park; Min Kyo Jung; Chan Gi Pack; Seung-Jae Myung; Suhwan Chang
Journal:  Dig Dis Sci       Date:  2018-04-25       Impact factor: 3.199

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