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A Modular Supramolecular Peptide Platform Reveals Atomic-Number-Dependent Mechanisms Driving Radioenhancement
Sebastian Jung1,2,3,4, Pedro Lopez Navarro1,2,3, Elsa Barbé1,2,3
1Institut de cancérologie Strasbourg Europe, 67000 Strasbourg, France.
ACS Nano
|November 19, 2025
Summary
High-Z nanoparticles enhance cancer radiotherapy, but efficacy varies by metal. This study developed a peptide platform to compare gadolinium, bismuth, and hafnium, revealing non-linear enhancement and theranostic applications.
Area of Science:
- Nanomedicine
- Radiation Oncology
- Bioconjugate Chemistry
Background:
- Optimizing high-Z nanoparticles for cancer radiotherapy is hindered by inconsistent comparisons and unclear nanoscale mechanisms.
- The assumption of a uniform increase in radioenhancement with atomic number may be an oversimplification.
Purpose of the Study:
- To introduce a versatile supramolecular peptide platform for standardized comparison of gadolinium (Gd), bismuth (Bi), and hafnium (Hf) as radioenhancers.
- To elucidate the nanoscale mechanisms governing metal-dependent radioenhancement and explore theranostic applications.
Main Methods:
- Development of a self-assembling peptide heterodimer (E3-K3) platform with a chelator (DOTAGA) and variable antibody domains (VHH) for targeted delivery.
- Systematic in vitro and in vivo analyses in HER2+ breast cancer and multiple myeloma models.
- Evaluation of DNA damage, reactive oxygen species generation, clonogenic survival, and tumor control.
Main Results:
- Radioenhancement efficacy correlated with atomic number but not linearly, influenced by metal physicochemical properties.
- Gd- and Bi-loaded nanoparticles significantly enhanced tumor control, with Bi showing superior efficacy.
- Gd-based constructs enabled MRI-guided radioligand therapy, demonstrating theranostic potential.
Conclusions:
- The study elucidates fundamental physical mechanisms of metal-dependent radioenhancement at the nanoscale.
- A broadly applicable theranostic approach with translational implications for personalized radiation oncology was established.

