Literature DB >> 19130882

Global gene expression profiling of progesterone receptor modulators in T47D cells provides a new classification system.

Wiebke Afhüppe1, Anette Sommer, Jörg Müller, Wolfgang Schwede, Ulrike Fuhrmann, Carsten Möller.   

Abstract

Progesterone receptor modulators (PRMs) play an important role in women's health. They are widely used in oral contraception or hormone therapy, and provide an attractive treatment approach for gynecological disorders such as uterine leiomyomas, endometriosis or breast cancer. Due to the broad range of activities, various studies were conducted to assess progesterone receptor antagonists (PAs) and selective progesterone receptor modulators (SPRMs) with respect to progesterone receptor (PR) agonistic and antagonistic activities in vivo. These properties are not always adequately reflected in classical in vitro models, especially differences in the agonistic potential of SPRMs, such as asoprisnil, J1042, and J912, and mixed antagonists, such as mifepristone, are not sufficiently substantiated. The effects of PRMs upon gene expression in progesterone target tissues such as breast epithelium and uterus are poorly understood. This study compares the properties of PR ligands using mammalian two-hybrid assays and gene expression profiling. The protein-protein interaction analyses in HeLa cells provide for specific ligand-induced PR conformations, whereas Affymetrix GeneChip HG-U133Plus2.0 analyses in T47D breast cancer cells indicate the transcriptional activity on the level of target genes. The analyses comprise the pure agonist R5020, the non-steroidal PR modulator PRA-910, SPRMs (J1042, asoprisnil, J912), the mixed antagonist mifepristone, classical antagonists (onapristone, ZK 137316) and the pure antagonist lonaprisan to consider all types of ligands described before. Marginal differences were identified in coactivator interaction profiles at all, but significant differences between SPRMs and PR antagonists (PAs) were observed in recruiting the LXXLL-motif containing peptide (LX-H10), very similar to in vivo activities in endometrial transformation in the rabbit (McPhail test). Global gene expression profiles demonstrated progesterone-independent effects for all PR modulators examined and emphasised similarities of asoprisnil and J1042 compared to J912 and all types of PR antagonists. In summary, the data support the popular concept of PR modulator classification in agonists, selective progesterone receptor modulators, mixed and pure antagonists. It further refines previous classification models and accentuates unique effects for each PR modulator.

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Year:  2008        PMID: 19130882     DOI: 10.1016/j.jsbmb.2008.11.015

Source DB:  PubMed          Journal:  J Steroid Biochem Mol Biol        ISSN: 0960-0760            Impact factor:   4.292


  9 in total

1.  X-ray structures of progesterone receptor ligand binding domain in its agonist state reveal differing mechanisms for mixed profiles of 11β-substituted steroids.

Authors:  Scott J Lusher; Hans C A Raaijmakers; Diep Vu-Pham; Bert Kazemier; Rolien Bosch; Ross McGuire; Rita Azevedo; Hans Hamersma; Koen Dechering; Arthur Oubrie; Marcel van Duin; Jacob de Vlieg
Journal:  J Biol Chem       Date:  2012-04-25       Impact factor: 5.157

2.  Biological characterization of non-steroidal progestins from botanicals used for women's health.

Authors:  M F Toh; J Sohn; S N Chen; P Yao; J L Bolton; J E Burdette
Journal:  Steroids       Date:  2012-04-05       Impact factor: 2.668

3.  Differential regulation of breast cancer-associated genes by progesterone receptor isoforms PRA and PRB in a new bi-inducible breast cancer cell line.

Authors:  Junaid A Khan; Catherine Bellance; Anne Guiochon-Mantel; Marc Lombès; Hugues Loosfelt
Journal:  PLoS One       Date:  2012-09-24       Impact factor: 3.240

Review 4.  ER and PR signaling nodes during mammary gland development.

Authors:  Tamara Tanos; Lucia Rojo; Pablo Echeverria; Cathrin Brisken
Journal:  Breast Cancer Res       Date:  2012-07-19       Impact factor: 6.466

5.  Discovery of Vilaprisan (BAY 1002670): A Highly Potent and Selective Progesterone Receptor Modulator Optimized for Gynecologic Therapies.

Authors:  Carsten Möller; Wilhelm Bone; Arwed Cleve; Ulrich Klar; Andrea Rotgeri; Antje Rottmann; Marcus-Hillert Schultze-Mosgau; Andrea Wagenfeld; Wolfgang Schwede
Journal:  ChemMedChem       Date:  2018-11-06       Impact factor: 3.466

6.  DeepSnap-Deep Learning Approach Predicts Progesterone Receptor Antagonist Activity With High Performance.

Authors:  Yasunari Matsuzaka; Yoshihiro Uesawa
Journal:  Front Bioeng Biotechnol       Date:  2020-01-22

7.  StackPR is a new computational approach for large-scale identification of progesterone receptor antagonists using the stacking strategy.

Authors:  Nalini Schaduangrat; Nuttapat Anuwongcharoen; Mohammad Ali Moni; Pietro Lio'; Phasit Charoenkwan; Watshara Shoombuatong
Journal:  Sci Rep       Date:  2022-09-30       Impact factor: 4.996

Review 8.  Selective progesterone receptor modulators (SPRMs): progesterone receptor action, mode of action on the endometrium and treatment options in gynecological therapies.

Authors:  Andrea Wagenfeld; Philippa T K Saunders; Lucy Whitaker; Hilary O D Critchley
Journal:  Expert Opin Ther Targets       Date:  2016-05-14       Impact factor: 6.902

9.  Phase I study of onapristone, a type I antiprogestin, in female patients with previously treated recurrent or metastatic progesterone receptor-expressing cancers.

Authors:  Paul H Cottu; Jacques Bonneterre; Andrea Varga; Mario Campone; Alexandra Leary; Anne Floquet; Dominique Berton-Rigaud; Marie-Paule Sablin; Anne Lesoin; Keyvan Rezai; François M Lokiec; Catherine Lhomme; Jacques Bosq; Alice S Bexon; Erard M Gilles; Stefan Proniuk; Veronique Dieras; David M Jackson; Alexander Zukiwski; Antoine Italiano
Journal:  PLoS One       Date:  2018-10-10       Impact factor: 3.240

  9 in total

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