Literature DB >> 14576841

Antiestrogen resistance in breast cancer and the role of estrogen receptor signaling.

Robert Clarke1, Minetta C Liu, Kerrie B Bouker, Zhiping Gu, Richard Y Lee, Yuelin Zhu, Todd C Skaar, Bianca Gomez, Kerry O'Brien, Yue Wang, Leena A Hilakivi-Clarke.   

Abstract

Antiestrogens include agents such as tamoxifen, toremifene, raloxifene, and fulvestrant. Currently, tamoxifen is the only drug approved for use in breast cancer chemoprevention, and it remains the treatment of choice for most women with hormone receptor positive, invasive breast carcinoma. While antiestrogens have been available since the early 1970s, we still do not fully understand their mechanisms of action and resistance. Essentially, two forms of antiestrogen resistance occur: de novo resistance and acquired resistance. Absence of estrogen receptor (ER) expression is the most common de novo resistance mechanism, whereas a complete loss of ER expression is not common in acquired resistance. Antiestrogen unresponsiveness appears to be the major acquired resistance phenotype, with a switch to an antiestrogen-stimulated growth being a minor phenotype. Since antiestrogens compete with estrogens for binding to ER, clinical response to antiestrogens may be affected by exogenous estrogenic exposures. Such exposures include estrogenic hormone replacement therapies and dietary and environmental exposures that directly or indirectly increase a tumor's estrogenic environment. Whether antiestrogen resistance can be conferred by a switch from predominantly ERalpha to ERbeta expression remains unanswered, but predicting response to antiestrogen therapy requires only measurement of ERalpha expression. The role of altered receptor coactivator or corepressor expression in antiestrogen resistance also is unclear, and understanding their roles may be confounded by their ubiquitous expression and functional redundancy. We have proposed a gene network approach to exploring the mechanistic aspects of antiestrogen resistance. Using transcriptome and proteome analyses, we have begun to identify candidate genes that comprise one component of a larger, putative gene network. These candidate genes include NFkappaB, interferon regulatory factor-1, nucleophosmin, and the X-box binding protein-1. The network also may involve signaling through ras and MAPK, implicating crosstalk with growth factors and cytokines. Ultimately, signaling affects the expression/function of the proliferation and/or apoptotic machineries.

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Year:  2003        PMID: 14576841     DOI: 10.1038/sj.onc.1206937

Source DB:  PubMed          Journal:  Oncogene        ISSN: 0950-9232            Impact factor:   9.867


  172 in total

1.  IFNgamma restores breast cancer sensitivity to fulvestrant by regulating STAT1, IFN regulatory factor 1, NF-kappaB, BCL2 family members, and signaling to caspase-dependent apoptosis.

Authors:  Yanxia Ning; Rebecca B Riggins; Jennifer E Mulla; Haniee Chung; Alan Zwart; Robert Clarke
Journal:  Mol Cancer Ther       Date:  2010-05       Impact factor: 6.261

2.  NF-κB signaling is required for XBP1 (unspliced and spliced)-mediated effects on antiestrogen responsiveness and cell fate decisions in breast cancer.

Authors:  Rong Hu; Anni Warri; Lu Jin; Alan Zwart; Rebecca B Riggins; Hong-Bin Fang; Robert Clarke
Journal:  Mol Cell Biol       Date:  2014-11-03       Impact factor: 4.272

3.  Pharmacogenomic diversity of tamoxifen metabolites and estrogen receptor genes in Hispanics and non-Hispanic whites with breast cancer.

Authors:  Leticia B A Rangel; Jodi L Taraba; Christopher R Frei; Lon Smith; Gladys Rodriguez; John G Kuhn
Journal:  Breast Cancer Res Treat       Date:  2014-11-14       Impact factor: 4.872

4.  Data-independent proteomic screen identifies novel tamoxifen agonist that mediates drug resistance.

Authors:  Shawna Mae Hengel; Euan Murray; Simon Langdon; Larry Hayward; Jean O'Donoghue; Alexandre Panchaud; Ted Hupp; David R Goodlett
Journal:  J Proteome Res       Date:  2011-09-21       Impact factor: 4.466

5.  Differential expression of microRNA expression in tamoxifen-sensitive MCF-7 versus tamoxifen-resistant LY2 human breast cancer cells.

Authors:  Tissa T Manavalan; Yun Teng; Savitri N Appana; Susmita Datta; Theodore S Kalbfleisch; Yong Li; Carolyn M Klinge
Journal:  Cancer Lett       Date:  2011-09-10       Impact factor: 8.679

Review 6.  Influence of berry polyphenols on receptor signaling and cell-death pathways: implications for breast cancer prevention.

Authors:  Harini S Aiyer; Anni M Warri; Denzel R Woode; Leena Hilakivi-Clarke; Robert Clarke
Journal:  J Agric Food Chem       Date:  2012-02-22       Impact factor: 5.279

Review 7.  Minireview: Inflammation: an instigator of more aggressive estrogen receptor (ER) positive breast cancers.

Authors:  Sarah C Baumgarten; Jonna Frasor
Journal:  Mol Endocrinol       Date:  2012-02-02

Review 8.  Metabolomic profiling of hormone-dependent cancers: a bird's eye view.

Authors:  Stacy M Lloyd; James Arnold; Arun Sreekumar
Journal:  Trends Endocrinol Metab       Date:  2015-08-01       Impact factor: 12.015

9.  Modeling the estrogen receptor to growth factor receptor signaling switch in human breast cancer cells.

Authors:  Chun Chen; William T Baumann; Robert Clarke; John J Tyson
Journal:  FEBS Lett       Date:  2013-08-28       Impact factor: 4.124

Review 10.  Identifying and targeting tumor-initiating cells in the treatment of breast cancer.

Authors:  Wei Wei; Michael T Lewis
Journal:  Endocr Relat Cancer       Date:  2015-04-15       Impact factor: 5.678

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