ArticlePloS one2025
The impact of tumor microenvironment and treatment schedule on the effectiveness of radiation therapy.
Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
3 citing papers in PubMed.
- Mapping radiosensitivity in glioblastoma using MR elastography and biomechanical modeling.Scientific reports · 2026Article
- Tumour Microenvironment-Informed Radiotheranostics: Why and How Nuclear Medicine Could Advance Precision Oncology in the Decade Ahead.Pharmaceuticals (Basel, Switzerland) · 2026Review
- Mechanistic mathematical modeling of abscopal effect reveals mechanisms of off-target tumor response.Frontiers in immunology · 2026Article
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
External Beam Radiation Therapy (EBRT) is predominantly administered using Conventionally Fractionated Radiotherapy (CFRT), that is 2 Gy per fraction. However, Moderately Hypofractionated Radiotherapy (MHRT) (approx. 2.5-3 Gy per fraction) and Stereotactic Body Radiotherapy (SBRT) (approx. 6-24 Gy per fraction) regimen are currently clinically investigated or even recently included in standard clinical practice. In addition, hyperfractionated radiotherapy (<1.8-2 Gy per fraction) is also clinically investigated or already used in standard clinical practices. The therapeutic effects of each of these radiotherapy schedules might depend on the degree of radioresistance of the tumor but also on properties of the tumor microenvironment, such as tumor perfusion and oxygenation. Here, building on previous work, we developed a mathematical model to investigate optimal radiotherapy treatment protocols in solid tumors. The model incorporates direct effects of radiation on cancer cells and accounts for the impact of tumor perfusion and oxygenation on the efficacy of radiation therapy. The model was able to accurately reproduce both preclinical and clinical data from different radiotherapy treatment schedules. It confirmed that greater tumor perfusion and thus, oxygenation improves treatment effectiveness by increasing the number of cancer cells killed during the treatment period. It further predicted that this effect is more pronounced for radioresistant tumors, meaning that changes in tumor perfusion of more radioresistant tumors have a greater impact on the percentage of surviving cells at the end of the treatment. The mathematical model provides mechanistic insights into the effectiveness of various radiotherapy schedules and guidelines for how modifying the tumor microenvironment to restore perfusion can affect radiation therapy.
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