ArticleCells2026
Differential Cytokine and DNA Damage Response of Human Lung Tissue Models to Broad-Beam and Microbeam Radiotherapy.
Article in Cells, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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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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Authors and funding
10 authors.
Funding
Abstract
Radiotherapy (RT) is a standard treatment for lung cancer; however, radiation-induced toxicities such as pneumonitis and fibrosis limit dose escalation and tumor control. Therefore, improved RT approaches are needed. This study investigated the radiation response of human ex vivo normal lung tissue using the three-dimensional EpiAlveolar™ model. Tissue models were irradiated with broad-beam (BB) and two spatially fractionated microbeam radiation therapy (MRT) dose metrics: equivalent uniform dose (MRT-EUD) and valley dose (MRT-valley). Our findings show that ex vivo lung tissue is able to tolerate peak doses of 36 Gy following MRT-EUD. On day 21, models effectively repaired significant DNA double-strand break (DSB) damage seen in the MRT-EUD-irradiated peak regions. In contrast, persistent unresolved DSBs were detected in MRT-valley-irradiated models 21 days post irradiation. Prolonged culture time resulted in cell loss and a reduction in epithelial cell layers. A significant upregulation of the pro-inflammatory cytokine IL6 was observed in both BB and MRT-EUD groups at 21 days. Fibrotic collagen deposition was detected in one BB-irradiated model but was absent in remaining BB- and MRT-treated tissues. Further investigation is required to clarify the potential and suitability of EpiAlveolar™ models for studying radiation-induced lung injury.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.