S2575
Radiobiology – Normal tissue radiobiology
ESTRO 2026
pretreatment prediction of radiation dermatitis in nasopharyngeal carcinoma patients treated with radiotherapy. Radiother Oncol. 2025;209:110951. doi:10.1016/j.radonc.2025.110951 Keywords: Radiation dermatitis ， Gene prediction
in distinguishing patients at high risk of radiodermatitis.
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Interferon-I as a mediator of radiation-induced inflammation, with different cell fate responses in salivary and thyroid organoids. Rufina Maturi 1,2 , Davide Cinat 1,3 , Jeremy P Gunawan 3,1 , Anne L Jellema - de Bruin 1,3 , Lara Barazzuol 3,1 , Abel A Soto Gamez 3,1 , Rob P Coppes 3,1 1 Biomedical Sciences, University Medical Center Groningen, Groningen, Netherlands. 2 Molecular Medicine and Medical Biotechnology, University of Naples Federico II, Naples, Italy. 3 Radiation Oncology, University Medical Center Groningen, Groningen, Netherlands Purpose/Objective: Hypothyroidism, secondary thyroid malignancies, hyposalivation, and xerostomia are common side effects of radiotherapy for head-and-neck cancer, severely impairing patients’ quality of life. Organoid models have played a crucial role in the development of stem cell therapy1,2 and the regulation of stem cells involved in post-irradiation3. However, the molecular mechanisms behind glandular side effects remain largely unexplored. In this study, we examined the response of thyroid and salivary gland organoids to irradiation. Material/Methods: Single cells seeded after isolation, or 5-day-old thyroid or salivary gland-derived organoids, were irradiated with 4, 7, and 15 Gy of gamma-rays. The organoid- forming capacity was assessed 7 or 11 days post- seeding and 2 or 4 days after irradiation. Bulk RNA sequencing was performed to examine transcriptomic changes in tissue-derived thyroid and salivary gland organoids following irradiation. Observed changes were further validated and explored using qPCRs, western blotting, immunofluorescence, caspase 3/7 activity, and organoid-forming efficiency (OFE). Results: Radiation exposure impaired primary thyroid and salivary gland stemness and organoid formation, with thyroid organoids being more radiosensitive than salivary gland organoids. Differential expression analysis revealed clear dose-dependent transcriptional changes at both timepoints, with the most differentially expressed genes compared to sham irradiation after 7Gy in both cell types. Irradiated organoids showed a strong upregulation of inflammatory and interferon-related gene ontology
Conclusion: This study, by integrating multi-omics data and advanced machine learning algorithms, not only systematically revealed key molecular targets of radiodermatitis but also constructed a high- performance risk prediction model. This model provides a powerful tool for identifying patients at high risk of radiodermatitis and lays a theoretical foundation for future early intervention and in-depth mechanistic studies. References: [1]Liu C, Zhou Y, Zhou Y, Tang X, Tang L, Wang J. Identification of crucial genes for predicting the risk of atherosclerosis with system lupus erythematosus based on comprehensive bioinformatics analysis and machine learning. Comput Biol Med. 2023;152:106388. doi:10.1016/j.compbiomed.2022.106388[2]Xiang Z, Yu X, Lin S, et al. Deep learning dosiomics for the
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