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Dismantling the TGF-β Axis: A Critical Transition from Occupancy-based Kinase Inhibitors to Event-driven Degraders
Shasha Shen1, Juan Li1, Xue Cui1
1Department of Head and Neck Oncology, The Second Affiliated Hospital of Zunyi Medical University, Zunyi, Guizhou, China.
Abstract:
The TGF-β signaling pathway plays a dual role in cancer, acting as both a tumor suppressor and a potent driver of metastasis and immune evasion. Traditional TGF-β inhibitors, primarily ATP-competitive kinase blockers, have faced clinical hurdles including systemic toxicities and compensatory resistance. This review provides a medicinal chemistry-oriented perspective on the fundamental transition from occupancy-based inhibition to event-driven targeted protein degradation (TPD). We systematically analyze the chemical evolution of TGF-β modulators, highlighting how rational SAR optimization-such as linker rigidification and the selection of tissue-specific E3 ligases-enhances ternary complex stability and catalytic efficiency (DC50). Furthermore, we discuss the transformative role of artificial intelligence (AI) and molecular docking in guiding the design of next-generation bifunctional degraders, including PROTACs and LYTACs. By synthesizing cuttingedge research and clinical data, this article outlines a roadmap for dismantling the TGF-β axis, offering strategic insights for the development of more potent, selective, and safer therapeutic agents.
Insights
Targeted protein degradation (TPD) offers a novel approach to inhibiting the transforming growth factor beta (TGF-β) pathway, overcoming limitations of traditional inhibitors. This strategy promises more potent, selective, and safer cancer therapeutics.
Area of Science:
- Oncology
- Medicinal Chemistry
- Molecular Biology
Background:
- The transforming growth factor beta (TGF-β) signaling pathway exhibits a dual role in cancer, promoting tumor suppression in early stages but driving metastasis and immune evasion in advanced disease.
- Conventional TGF-β inhibitors, mainly ATP-competitive kinase blockers, have encountered significant clinical challenges, including dose-limiting toxicities and the emergence of resistance mechanisms.
- Targeted Protein Degradation (TPD) represents a paradigm shift from occupancy-based inhibition to event-driven degradation of target proteins.
Purpose of the Study:
- To provide a medicinal chemistry perspective on the evolution of TGF-β modulators from traditional inhibitors to TPD-based strategies.
- To analyze the chemical optimization of TGF-β modulators, focusing on enhancing ternary complex stability and catalytic efficiency.
- To explore the role of artificial intelligence (AI) and molecular docking in designing next-generation bifunctional degraders like PROTACs and LYTACs.
Main Methods:
- Systematic analysis of the chemical evolution of TGF-β modulators.
- Review of structure-activity relationship (SAR) optimizations, including linker rigidification and E3 ligase selection.
- Discussion of AI and molecular docking applications in designing bifunctional degraders.
Main Results:
- Rational SAR optimization, including linker rigidification and tissue-specific E3 ligase selection, improves ternary complex stability and catalytic efficiency (DC50).
- AI and molecular docking are instrumental in guiding the design of advanced bifunctional degraders (PROTACs, LYTACs).
- The transition to TPD offers a promising avenue for overcoming the limitations of traditional TGF-β inhibitors.
Conclusions:
- TPD strategies provide a roadmap for effectively dismantling the TGF-β signaling axis in cancer.
- Next-generation bifunctional degraders designed using AI and advanced chemistry hold potential for developing more potent, selective, and safer TGF-β-targeted therapies.
- This review synthesizes current research to guide future therapeutic development against TGF-β-driven cancers.
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