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Cancer treatment by radioimmunotherapy: insights from a dynamical model of cancer stem cells and hypoxia effects
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  • Published: 13 April 2026

Cancer treatment by radioimmunotherapy: insights from a dynamical model of cancer stem cells and hypoxia effects

  • Alain Mvogo1,
  • Frank Eric Essongo2 &
  • Germain Hubert Ben-Bolie2 

Scientific Reports , Article number:  (2026) Cite this article

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We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors present which affect the content, and all legal disclaimers apply.

Subjects

  • Cancer
  • Oncology

Abstract

Cancer remains a major challenge for conventional treatments. This is due to the resistance mechanisms driven by cancer stem cells (CSCs) which sustain tumor growth. In this work, we investigate both analytically and computationally the effects of radioimmunotherapy (RIT), a cutting-edge technique that uses radiolabeled antibodies to precisely target and irradiate cancer cells. The work considers time delay modeling and the interactions between microRNAs and differentiated cancer cells (DCs). We evaluate the effects of extrapolated dose rates from four important radionuclides including yttrium-90 (\(^{90}\textrm{Y}\)), lutetium-177 (\(^{177}\textrm{Lu}\)), iodine-131 (\(^{131}\textrm{I}\)) and actinium-225 (\(^{225}\textrm{Ac}\)) in the preventive treatment of cancer before recurrence. A sensitivity analysis of model parameters is also performed to assess the robustness of the predictions and to identify the most influential biological and physical variables. Using the linear-quadratic formalism, we compare their biological effective dose, surviving fraction, and tumor control probability. The results demonstrate that an extrapolated initial dose of 165 \(\mathrm {Gy.year^{-1}}\) leads to an eradication of CSCs using \(^{225}\textrm{Ac}\) and \(^{177}\textrm{Lu}\) within 1.4636 year and 1.5736 year, respectively. Similarly, DCs are eliminated with \(^{225}\textrm{Ac}\) and \(^{177}\textrm{Lu}\) over treatment durations of 0.9396 year and 1.0496 year, respectively. These results highlight the potent effects of \(^{225}\textrm{Ac}\) and \(^{177}\textrm{Lu}\) in targeting CSCs and DCs at this dose rate. Under these conditions, microRNAs act as tumor suppressors, thus preventing pro-tumorigenic effects. Exceeding the dose threshold (beyond 165 \(\mathrm {Gy.year^{-1}}\)) disrupts the therapeutic balance with an efficacy which decreases progressively. For the doses above 326 \(\mathrm {Gy.year^{-1}}\), the overproliferation of CSCs and DCs is observed with an oncogenic behavior of microRNAs. We further examine the role of tumor oxygenation in modulating RIT efficacy. The results reveal that enhancing oxygen availability significantly increases CSC radiosensitivity, which is otherwise reduced under hypoxic conditions. The results of this work provide insight in optimizing RIT protocols using radiolabeled agents with improved pharmacokinetics and biological half-lives.

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Data availability

All data generated or analyzed during this study are included in this paper.

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Acknowledgements

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Authors and Affiliations

  1. Laboratory of Biophysics, Department of Physics, Faculty of Science, University of Yaounde I, P.O. Box 812, Yaounde, Cameroon

    Alain Mvogo

  2. Laboratory of Nuclear Physics, Dosimetry and Radiation Protection, Department of Physics, Faculty of Science, University of Yaounde I, P.O. Box 812, Yaounde, Cameroon

    Frank Eric Essongo & Germain Hubert Ben-Bolie

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  1. Alain Mvogo
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  2. Frank Eric Essongo
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A.M. initiated the Project. F.E.E. performed the analytical results. F.E.E. and A.M. wrote the main manuscript text and prepared figures. A.M. and G.H.B.-B. performed numerical analysis. G.H.B.-B. supervised the manuscript. All authors reviewed the manuscript.

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Mvogo, A., Essongo, F.E. & Hubert Ben-Bolie, G. Cancer treatment by radioimmunotherapy: insights from a dynamical model of cancer stem cells and hypoxia effects. Sci Rep (2026). https://doi.org/10.1038/s41598-026-47796-w

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  • Received: 28 July 2025

  • Accepted: 02 April 2026

  • Published: 13 April 2026

  • DOI: https://doi.org/10.1038/s41598-026-47796-w

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Keywords

  • Cancer model
  • Radioimmunotherapy
  • Biological effective clearance half-life
  • Tumor control probability
  • Hypoxia
  • Circular patterns
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