Literature DB >> 30952631

Estrogen Receptor Covalent Antagonists: The Best Is Yet to Come.

Craig Furman1, Ming-Hong Hao2, Sudeep Prajapati1, Dominic Reynolds1, Victoria Rimkunas1, Guo Z Zheng1, Ping Zhu3, Manav Korpal3.   

Abstract

The development of tamoxifen and subsequent estrogen receptor alpha (ERα) antagonists represents a tremendous therapeutic breakthrough in the treatment of breast cancer. Despite the ability of ERα antagonists to increase survival rates, resistance to these therapies is an all-too-common occurrence. The majority of resistant tumors, including those with hotspot mutations in the ligand-binding domain of ERα, remain dependent on ERα signaling, indicating that either a more potent or novel class of antagonist could have clinical benefit. With this thought in mind, we developed a novel ERα antagonist that exhibits enhanced potency due to its ability to covalently target a unique cysteine in ER. This review describes the design of this antagonist, H3B-5942, and discusses opportunities for future improvements, which could reduce the risk of escape mutations to this therapeutic modality. ©2019 American Association for Cancer Research.

Entities:  

Year:  2019        PMID: 30952631     DOI: 10.1158/0008-5472.CAN-18-3634

Source DB:  PubMed          Journal:  Cancer Res        ISSN: 0008-5472            Impact factor:   12.701


  3 in total

1.  Dynamics Insights Into the Gain of Flexibility by Helix-12 in ESR1 as a Mechanism of Resistance to Drugs in Breast Cancer Cell Lines.

Authors:  Abbas Khan; Muhammad Junaid; Cheng-Dong Li; Shoaib Saleem; Fahad Humayun; Shazia Shamas; Syed Shujait Ali; Zainib Babar; Dong-Qing Wei
Journal:  Front Mol Biosci       Date:  2020-01-24

Review 2.  A Closer Look at Estrogen Receptor Mutations in Breast Cancer and Their Implications for Estrogen and Antiestrogen Responses.

Authors:  Léa Clusan; Pascale Le Goff; Gilles Flouriot; Farzad Pakdel
Journal:  Int J Mol Sci       Date:  2021-01-13       Impact factor: 5.923

Review 3.  Computer-Aided Ligand Discovery for Estrogen Receptor Alpha.

Authors:  Divya Bafna; Fuqiang Ban; Paul S Rennie; Kriti Singh; Artem Cherkasov
Journal:  Int J Mol Sci       Date:  2020-06-12       Impact factor: 5.923

  3 in total

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