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Beyond Radiochemistry: An Integrated Translational Blueprint for the Next Generation of Radionuclide Ligand
Chen Fu1,2, Xiaoyan Li3
1Department of Pharmacology, School of Pharmacy, China Medical University, Shenyang, China.
Next-generation radionuclide ligand conjugates (RLCs) require integrated biologic design, not just modular radiochemistry. Aligning target biology, ligand pharmacology, and isotope physics is crucial for expanding RLCs in precision oncology.
Area of Science:
- Oncology
- Radiochemistry
- Molecular Imaging
Background:
- Radionuclide ligand conjugates (RLCs) show promise in oncology for therapy and theranostics.
- Current RLC development often treats targeting ligand, chelator, and radionuclide as separate components.
- Clinical success depends on complex interactions including target density, distribution, internalization, and resistance.
Purpose of the Study:
- To address the translational challenge of expanding RLCs beyond current limitations.
- To advocate for an integrated biologic design framework over modular radiochemistry.
- To propose a new development strategy for next-generation RLCs.
Main Methods:
- Analysis of the limitations of the conventional ligand-chelator-payload model.
- Identification of key barriers to RLC expansion: biologic stratification, isotope-disease matching, and resistance integration.
- Proposal of a blueprint for next-generation RLC development.
Main Results:
- The conventional model is insufficient for broad clinical generalization.
- Inadequate biologic stratification, poor isotope-disease matching, and limited resistance integration hinder RLC expansion.
- A new framework is proposed focusing on target biology, disease context, and combination strategies.
Conclusions:
- Next-generation RLC development must integrate target biology, ligand pharmacology, and isotope physics.
- Overcoming current barriers requires biologically prioritized targets, disease-contextual isotope selection, and biomarker-guided combinations.
- This reframing aims to establish RLCs as a scalable precision oncology platform.
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