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Modeling hypoxia-induced radiation resistance and the impact of radiation sources. | LitMetric

Modeling hypoxia-induced radiation resistance and the impact of radiation sources.

Comput Biol Med

Data Science Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Via Venezian 1, Milan, 20133, Italy.

Published: May 2024

AI Article Synopsis

  • Hypoxia significantly impacts resistance to radiotherapy, leading researchers to explore how microvascular structure affects hypoxia levels in treatment outcomes.
  • Using computational modeling, the study found a strong link between the distribution of hypoxic volumes and the effectiveness of photon and proton treatments, with vascular density being crucial for success.
  • In contrast, carbon ion therapy showed effectiveness even in hypoxic and poorly vascularized areas, indicating its potential as a solution to hypoxia-induced resistance in radiotherapy, with implications for clinical imaging of subvoxel hypoxia.

Article Abstract

Hypoxia contributes significantly to resistance in radiotherapy. Our research rigorously examines the influence of microvascular morphology on radiotherapy outcome, specifically focusing on how microvasculature shapes hypoxia within the microenvironment and affects resistance to a standard treatment regimen (30×2Gy). Our computational modeling extends to the effects of different radiation sources. For photons and protons, our analysis establishes a clear correlation between hypoxic volume distribution and treatment effectiveness, with vascular density and regularity playing a crucial role in treatment success. On the contrary, carbon ions exhibit distinct effectiveness, even in areas of intense hypoxia and poor vascularization. This finding points to the potential of carbon-based hadron therapy in overcoming hypoxia-induced resistance to RT. Considering that the spatial scale analyzed in this study is closely aligned with that of imaging data voxels, we also address the implications of these findings in a clinical context envisioning the possibility of detecting subvoxel hypoxia.

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Source
http://dx.doi.org/10.1016/j.compbiomed.2024.108334DOI Listing

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