Benzothiophene derivatives as selective estrogen receptor covalent antagonists: Design, synthesis and anti-ERα activities.


Journal

Bioorganic & medicinal chemistry
ISSN: 1464-3391
Titre abrégé: Bioorg Med Chem
Pays: England
ID NLM: 9413298

Informations de publication

Date de publication:
01 10 2021
Historique:
received: 17 07 2021
revised: 22 08 2021
accepted: 31 08 2021
pubmed: 13 9 2021
medline: 13 1 2022
entrez: 12 9 2021
Statut: ppublish

Résumé

Estrogen receptor α emerged as a well validated therapeutic target of breast cancer for decades. However, approximately 50% of patients who initially responding to standard-of-care (SoC), such as undergo therapy of Tamoxifen, generally inevitably progress to an endocrine-resistance ER+ phenotype. Recently, selective estrogen receptor covalent antagonists (SERCAs) targeted to ERα have been demonstrated as a therapeutic alternative. In the present study, series of novel 6-OH-benzothiophene (BT) derivatives targeting ERα and deriving from Raloxifene were designed, synthesized, and biologically evaluated as covalent antagonists. Driven by the antiproliferative efficacy in ER+ breast cancer cells, our chemical optimization finally led to compound 19d that with potent antagonistic activity in ER+ tumor cells while without agonistic activity in endometrial cells. Moreover, the docking simulation was carried out to elucidate the binding mode, revealing 19d as an antagonist and covalently binding to the cysteine residue at the 530 position of ER helix H11.

Identifiants

pubmed: 34509864
pii: S0968-0896(21)00403-X
doi: 10.1016/j.bmc.2021.116395
pii:
doi:

Substances chimiques

ESR1 protein, human 0
Estrogen Antagonists 0
Estrogen Receptor alpha 0
Thiophenes 0
benzothiophene 073790YQ2G

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

116395

Informations de copyright

Copyright © 2021 Elsevier Ltd. All rights reserved.

Auteurs

Chengfeng Bai (C)

State Key Laboratory of Natural Medicines, Jiangsu Key Laboratory of Drug Design and Optimization, China Pharmaceutical University, Nanjing 210009, China; Department of Medicinal Chemistry, School of Pharmacy, China Pharmaceutical University, Nanjing 210009, China.

Shuangjie Wu (S)

State Key Laboratory of Natural Medicines, Jiangsu Key Laboratory of Drug Design and Optimization, China Pharmaceutical University, Nanjing 210009, China; Department of Medicinal Chemistry, School of Pharmacy, China Pharmaceutical University, Nanjing 210009, China.

Shengnan Ren (S)

State Key Laboratory of Natural Medicines, Jiangsu Key Laboratory of Drug Design and Optimization, China Pharmaceutical University, Nanjing 210009, China; Department of Medicinal Chemistry, School of Pharmacy, China Pharmaceutical University, Nanjing 210009, China.

Meiqi Zhu (M)

State Key Laboratory of Natural Medicines, Jiangsu Key Laboratory of Drug Design and Optimization, China Pharmaceutical University, Nanjing 210009, China; Department of Medicinal Chemistry, School of Pharmacy, China Pharmaceutical University, Nanjing 210009, China.

Guoshun Luo (G)

State Key Laboratory of Natural Medicines, Jiangsu Key Laboratory of Drug Design and Optimization, China Pharmaceutical University, Nanjing 210009, China; Department of Medicinal Chemistry, School of Pharmacy, China Pharmaceutical University, Nanjing 210009, China.

Hua Xiang (H)

State Key Laboratory of Natural Medicines, Jiangsu Key Laboratory of Drug Design and Optimization, China Pharmaceutical University, Nanjing 210009, China. Electronic address: xianghua@cpu.edu.cn.

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Classifications MeSH