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      STAT1 facilitates oestrogen receptor α transcription and stimulates breast cancer cell proliferation

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          Abstract

          Oestrogen receptor α ( ERα) is overexpressed in two‐thirds of all breast cancer cases and is involved in breast cancer development and progression. Although ERα ‐positive breast cancer can be effectively treated by endocrine therapy, endocrine resistance is an urgent clinical problem. Thus, further understanding of the underlying mechanisms involved in ERα signalling is critical in dealing with endocrine resistance in patients with breast cancer. In the present study, unbiased RNA sequence analysis was conducted between the MCF‐7 and MCF‐7 tamoxifen‐resistant ( LCC2) cell lines in order to identify differentially expressed genes. The whole transcriptomic data indicated that the JAKSTAT pathway is markedly up‐regulated, particularly the ISGF3 complex. As the critical effectors, STAT1 and IRF9 were up‐regulated 5‐ and 20‐fold, respectively, in LCC2 cells. The biological experiments indicated that STAT1 is important for ERα signalling. Depletion of STAT1 or inhibition of STAT1 function significantly decreased levels of ERα protein, ERα ‐target gene expression and cell proliferation in both the MCF‐7 and LCC2 cell lines. Chromatin immunoprecipitation revealed that ERα transcription is associated with STAT1 recruitment to the ERα promoter region, suggesting that transcriptional regulation is one mechanism by which STAT1 regulates ERα mRNA levels and ERα signalling in breast cancer cells. The present study reveals a possible endocrine‐resistant mechanism by which STAT1 modulates ERα signalling and confers tamoxifen resistance. Targeting of STAT1 is a potential treatment strategy for endocrine‐resistant breast cancers.

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          Gene expression profiling in breast cancer: classification, prognostication, and prediction.

          Microarray-based gene expression profiling has had a major effect on our understanding of breast cancer. Breast cancer is now perceived as a heterogeneous group of different diseases characterised by distinct molecular aberrations, rather than one disease with varying histological features and clinical behaviour. Gene expression profiling studies have shown that oestrogen-receptor (ER)-positive and ER-negative breast cancers are distinct diseases at the transcriptomic level, that additional molecular subtypes might exist within these groups, and that the prognosis of patients with ER-positive disease is largely determined by the expression of proliferation-related genes. On the basis of these principles, a molecular classification system and prognostic multigene classifiers based on microarrays or derivative technologies have been developed and are being tested in randomised clinical trials and incorporated into clinical practice. In this review, we focus on the conceptual effect and potential clinical use of the molecular classification of breast cancer, and discuss prognostic and predictive multigene predictors. Copyright © 2011 Elsevier Ltd. All rights reserved.
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            Estrogen receptor alpha somatic mutations Y537S and D538G confer breast cancer endocrine resistance by stabilizing the activating function-2 binding conformation

            Somatic mutations in the estrogen receptor alpha (ERα) gene (ESR1), especially Y537S and D538G, have been linked to acquired resistance to endocrine therapies. Cell-based studies demonstrated that these mutants confer ERα constitutive activity and antiestrogen resistance and suggest that ligand-binding domain dysfunction leads to endocrine therapy resistance. Here, we integrate biophysical and structural biology data to reveal how these mutations lead to a constitutively active and antiestrogen-resistant ERα. We show that these mutant ERs recruit coactivator in the absence of hormone while their affinities for estrogen agonist (estradiol) and antagonist (4-hydroxytamoxifen) are reduced. Further, they confer antiestrogen resistance by altering the conformational dynamics of the loop connecting Helix 11 and Helix 12 in the ligand-binding domain of ERα, which leads to a stabilized agonist state and an altered antagonist state that resists inhibition. DOI: http://dx.doi.org/10.7554/eLife.12792.001
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              Epidermal growth factor receptor (EGFR) transactivation by estrogen via the G-protein-coupled receptor, GPR30: a novel signaling pathway with potential significance for breast cancer.

              The biological and biochemical effects of estrogen have been ascribed to its known receptors, which function as ligand-inducible transcription factors. However, estrogen also triggers rapid activation of classical second messengers (cAMP, calcium, and inositol triphosphate) and stimulation of intracellular signaling cascades mitogen-activated protein kinase (MAP K), PI3K and eNOS. These latter events are commonly activated by membrane receptors that either possess intrinsic tyrosine kinase activity or couple to heterotrimeric G-proteins. We have shown that estrogen transactivates the epidermal growth factor receptor (EGFR) to MAP K signaling axis via the G-protein-coupled receptor (GPCR), GPR30, through the release of surface-bound proHB-EGF from estrogen receptor (ER)-negative human breast cancer cells [Molecular Endocrinology 14 (2000) 1649]. This finding is consistent with a growing body of evidence suggesting that transactivation of EGFRs by GPCRs is a recurrent theme in cell signaling. GPCR-mediated transactivation of EGFRs by estrogen provides a previously unappreciated mechanism of cross-talk between estrogen and serum growth factors, and explains prior data reporting the EGF-like effects of estrogen. This novel mechanism by which estrogen activates growth factor-dependent signaling and its implications for breast cancer biology are discussed further in this review.
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                Author and article information

                Contributors
                zhujian1204@yahoo.com
                77090993@qq.com
                Journal
                J Cell Mol Med
                J. Cell. Mol. Med
                10.1111/(ISSN)1582-4934
                JCMM
                Journal of Cellular and Molecular Medicine
                John Wiley and Sons Inc. (Hoboken )
                1582-1838
                1582-4934
                17 October 2018
                December 2018
                : 22
                : 12 ( doiID: 10.1111/jcmm.2018.22.issue-12 )
                : 6077-6086
                Affiliations
                [ 1 ] Laboratory of Molecular Oncology Henan Collaborative Innovation Center of Molecular Diagnosis and Laboratory Medicine School of Laboratory Medicine Xinxiang Medical University Xinxiang Henan China
                [ 2 ] Henan Key Laboratory of Immunology and Targeted Drugs Xinxiang Medical University Xinxiang Henan China
                [ 3 ] Institute of Lung and Molecular Therapy (ILMT) Xinxiang Medical University Xinxiang Henan China
                [ 4 ] Department of Pathology Shandong University School of Medicine Jinan Shandong China
                [ 5 ] Rhil Rivers Technology (Beijing) Ltd Beijing China
                [ 6 ] Department of Cancer Genomics LemonData Biotech (Shenzhen) Shenzhen China
                [ 7 ] Department of Molecular Biology UT Southwestern Medical Center Dallas Texas
                [ 8 ] Department of Thyroid and Breast Surgery Zhongnan Hospital Wuhan University Wuhan Hubei China
                [ 9 ] Center for Cancer Research Xinxiang Medical University Xinxiang Henan China
                Author notes
                [*] [* ] Correspondence

                Jian Zhu, Department of Molecular Biology, UT Southwestern Medical Center, Dallas, TX 75390.

                Email: zhujian1204@ 123456yahoo.com

                and

                Ting Zhuang, School of Laboratory Medicine, Xinxiang Medical University, Xinxiang, Henan 453003, China.

                Email: 77090993@ 123456qq.com

                Author information
                http://orcid.org/0000-0003-3596-4339
                Article
                JCMM13882
                10.1111/jcmm.13882
                6237559
                30334368
                41f441a2-0625-4006-a1ce-315744546eca
                © 2018 The Authors. Journal of Cellular and Molecular Medicine published by John Wiley & Sons Ltd and Foundation for Cellular and Molecular Medicine.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 18 June 2018
                : 25 July 2018
                Page count
                Figures: 6, Tables: 2, Pages: 10, Words: 6076
                Funding
                Funded by: National Science Foundation for Young Scientists of China
                Award ID: 8170110153
                Funded by: University of Henan Province
                Award ID: 15IRTSTHN025
                Funded by: Foundation of Henan Educational Committee
                Award ID: 17A310025
                Funded by: Xinxiang Medical University
                Categories
                Original Article
                Original Articles
                Custom metadata
                2.0
                jcmm13882
                December 2018
                Converter:WILEY_ML3GV2_TO_NLMPMC version:version=5.5.1 mode:remove_FC converted:15.11.2018

                Molecular medicine
                breast cancer,erα,stat1,transcription
                Molecular medicine
                breast cancer, erα, stat1, transcription

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