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Updated: Feb 19, 2026

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Systems Biology of Metabolic Regulation by Estrogen Receptor Signaling in Breast Cancer
Published on: March 17, 2016
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Selective Estrogen Receptor Modulators (SERMs): Advances, Challenges, and Future Prospects in ER+ Breast Cancer
Anurag Saini1, Ripunjay Kalita1, Tirtha Nath1
1Department of Medicinal Chemistry, National Institute of Pharmaceutical Education and Research Guwahati, Assam, India.
Archiv Der Pharmazie
|February 17, 2026
Summary
Emerging heterocyclic drugs offer new hope for treating estrogen-receptor-positive breast cancer by selectively targeting cancer cells while preserving beneficial effects in bone and the cardiovascular system.
Area of Science:
- Pharmacology
- Oncology
- Medicinal Chemistry
Background:
- Selective estrogen receptor modulators (SERMs) are crucial for treating estrogen-driven breast cancer.
- SERMs act as estrogen antagonists in breast tissue but agonists in bone and cardiovascular system (CVS).
- Estrogen-receptor-positive breast cancer is the most common subtype globally.
Purpose of the Study:
- To provide a comprehensive analysis of emerging heterocyclic SERMs beyond traditional scaffolds.
- To link chemical diversity with tissue-selective mechanisms and structure-activity relationships.
- To highlight innovative strategies for overcoming limitations and improving therapeutic outcomes.
Main Methods:
- Review of emerging heterocyclic SERM scaffolds (indole, benzimidazole, coumarin, benzopyran, organometallic, phytoestrogen derivatives).
- Analysis of tissue-selective mechanisms and structure-activity relationships.
- Integration of structural, mechanistic, and therapeutic insights.
Main Results:
- Identified limitations of current SERMs: incomplete selectivity, metabolic instability, partial agonism, and endocrine resistance.
- Highlighted novel heterocyclic SERMs with potential for improved efficacy.
- Discussed innovative strategies to overcome resistance and enhance potency.
Conclusions:
- Emerging heterocyclic SERMs represent a promising avenue for ER-positive breast cancer therapy.
- Addressing limitations like resistance and selectivity is key to optimizing clinical outcomes.
- Combination therapies and computational design offer pathways to improved treatment strategies.
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