ArticleRadiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology2020
A tumor-immune interaction model for hepatocellular carcinoma based on measured lymphocyte counts in patients undergoing radiotherapy.
Article in Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.
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34 citing papers in PubMed, 50 citations in OpenAlex.
- Mapping radiosensitivity in glioblastoma using MR elastography and biomechanical modeling.Scientific reports · 2026Article
- Blood dose estimates in radiotherapy and correlations with adverse clinical outcomes in hepatocellular carcinoma.Journal of radiation research · 2026Article
- Radiation-induced lymphopenia: A data compilation to unveil relevant factors and mitigation strategies.Clinical and translational radiation oncology · 2026Review
- Review
- Gene Expression Profiling of Advanced Stage Hepatocellular Carcinoma: A Bioinformatic Analysis.Asian Pacific journal of cancer prevention : APJCP · 2025Article
- Mathematical mechanistic model representing the cancer immunity cycle under radiation effects.Scientific reports · 2025Article
- Patient-specific modeling of radiation-induced lymphopenia for head and neck cancer.Medical physics · 2025Article
- Mathematical modeling of the synergetic effect between radiotherapy and immunotherapy.Mathematical biosciences and engineering : MBE · 2025Article
- Mathematical modeling in radiotherapy for cancer: a comprehensive narrative review.Radiation oncology (London, England) · 2025Review
- The impact of tumor microenvironment and treatment schedule on the effectiveness of radiation therapy.PloS one · 2025Article
- Mechanistic in silico explorations of the immunogenic and synergistic effects of radiotherapy and immunotherapy: a critical review.Physical and engineering sciences in medicine · 2024Review
- Understanding the impact of radiation-induced lymphopenia: Preclinical and clinical research perspectives.Clinical and translational radiation oncology · 2024Review
- Modeling the Synergistic Impact of Yttrium 90 Radioembolization and Immune Checkpoint Inhibitors on Hepatocellular Carcinoma.Bioengineering (Basel, Switzerland) · 2024Article
- Early lymphocyte levels and low doses radiation exposure of lung predict lymphopenia in radiotherapy for lung cancer.Frontiers in immunology · 2024Observational
- Predicting Severity of Radiation Induced Lymphopenia in Individual Proton Therapy Patients for Varying Dose Rate and Fractionation Using Dynamic 4-Dimensional Blood Flow Simulations.International journal of radiation oncology, biology, physics · 2023Article
- Article
- Implications of recent neoadjuvant clinical trials on the future practice of radiotherapy in locally advanced rectal cancer.World journal of gastroenterology · 2023Review
- The current understanding of the immune landscape relative to radiotherapy across tumor types.Frontiers in immunology · 2023Review
- Opportunities for improving brain cancer treatment outcomes through imaging-based mathematical modeling of the delivery of radiotherapy and immunotherapy.Advanced drug delivery reviews · 2022Review
- Mathematical modeling of radiotherapy and its impact on tumor interactions with the immune system.Neoplasia (New York, N.Y.) · 2022Review
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Authors and funding
8 authors at 3 institutions in 2 countries.
Funding
Abstract
purposeThe impact of radiation therapy on the immune system has recently gained attention particularly when delivered in combination with immunotherapy. However, it is unclear how different treatment fractionation regimens influence the interaction between the immune system and radiation. The goal of this work was to develop a mathematical model that quantifies both the immune stimulating as well as the immunosuppressive effects of radiotherapy and simulates the effects of different fractionation regimens based on patient data. METHODS AND MATERIALS: The framework describes the temporal evolution of tumor cells, lymphocytes, and inactivated dying tumor cells releasing antigens during radiation therapy, specifically modeling how recruited lymphocytes inhibit tumor progression. The parameters of the model were partly taken from the literature and in part extracted from blood samples (circulating lymphocytes: CLs) collected from hepatocellular carcinoma patients undergoing radiotherapy and their outcomes. The dose volume histograms to circulating lymphocytes were calculated with a probability-based model.
resultsBased on the fitted parameters, the model enabled a study into the depletion and recovery of CLs in patients as a function of fractionation regimen. Our results quantify the ability of short fractionation regimens to lead to shorter periods of lymphocyte depletion and predict faster recovery after the end of treatment. The model shows that treatment breaks between fractions can prolong the period of lymphocyte depletion and should be avoided.
conclusionsThis study introduces a mathematical model for tumor-immune interactions using clinically extracted radiotherapy patient data, which can be applied to design trials aimed at minimizing lymphocyte depleting effects in radiation therapy.
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