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A human ex vivo model of radiation-induced skin injury recapitulates p53-driven profibrotic response to radiotherapy
Caroline Dodson, Sophie M. Bilik, Gabrielle DiBartolomeo, Hannah Pachalis, Lindsey G. Siegfried, Jordan A.K. Johnson, Seth R. Thaller, Irena Pastar, Marjana Tomic-Canic, Anthony J. Griswold, Rivka C. Stone
Caroline Dodson, Sophie M. Bilik, Gabrielle DiBartolomeo, Hannah Pachalis, Lindsey G. Siegfried, Jordan A.K. Johnson, Seth R. Thaller, Irena Pastar, Marjana Tomic-Canic, Anthony J. Griswold, Rivka C. Stone
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Research Article Dermatology Genetics Inflammation

A human ex vivo model of radiation-induced skin injury recapitulates p53-driven profibrotic response to radiotherapy

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Abstract

Cutaneous radiation injury is an unintended consequence of radiotherapy for many common cancers and can progress to debilitating radiation-induced skin fibrosis (RISF). Existing radiation injury models do not fully capture the skin toxicities observed in patients, contributing to the lack of efficacious therapies to mitigate RISF. To address this, we developed an ex vivo human skin model that recapitulates the temporal radiation injury and RISF response. Human skin explants (n = 12) subjected to ionizing radiation demonstrated DNA double-stranded breaks and robust p53-driven transcriptional programming of cell cycle arrest, apoptosis, and senescence compared with nonirradiated controls. Irradiated skin also exhibited induction of pro-inflammatory cytokines, epithelial-mesenchymal transition, profibrotic TGF-β1–mediated signaling, and thickened collagen over time. P53 regulators murine double minute 2 (MDM2) and miR-34a were induced after irradiation and may be leveraged to modulate injury response. Notably, RNA-sequencing of postradiotherapy breast skin from patients who had undergone mastectomy showed similar p53, inflammatory, and TGF-β1 signatures as the ex vivo model, supporting its translational relevance. Together, this model provides a platform for identifying biomarkers and testing therapies to prevent or mitigate cutaneous radiation toxicities. Targeting the dynamic p53-driven profibrotic radiation response represents a potentially new therapeutic avenue to improve quality of life for patients after radiotherapy.

Authors

Caroline Dodson, Sophie M. Bilik, Gabrielle DiBartolomeo, Hannah Pachalis, Lindsey G. Siegfried, Jordan A.K. Johnson, Seth R. Thaller, Irena Pastar, Marjana Tomic-Canic, Anthony J. Griswold, Rivka C. Stone

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Figure 3

Regulators of p53-mediated DNA damage response.

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Regulators of p53-mediated DNA damage response.
(A) qPCR of MDM2 express...
(A) qPCR of MDM2 expression in human ex vivo skin with 0 Gy (black, n = 6), 3.5 Gy (pink, n = 6), and 6 Gy (teal, n = 3–4) on days 0, 2, and 7 after irradiation. Expression was normalized to GAPDH. (B) Representative Western blot showing MDM2 protein expression on day 7 in control and 3.5 Gy samples. GAPDH served as the loading control. Lanes were run on the same gel but were noncontiguous. (C) Quantification of MDM2 protein levels in B. Band intensities were extracted using ImageJ (NIH); multiple MDM2 isoforms were averaged for each donor (n = 3); normalized to GAPDH. (D) Representative immunofluorescence staining of phospho-MDM2 (Ser395) on day 1 after irradiation, showing cytoplasmic localization in control and increased nuclear localization in irradiated samples (3.5 and 6 Gy). Scale bar: 50 μm. (E) Quantification of phospho-MDM2 nuclear localization from D, expressed as the percentage of cells with nuclear localization. Data were collected by 3 independent blinded observers and analyzed using 2-way ANOVA with Tukey’s multiple-comparison test (n = 3; symbols correspond to individual donors). (F) qPCR analysis of mature miR-34a-5p expression using small RNA-enriched cDNA. Expression was normalized to SNORD48. Data representative of n = 6. (G) IPA generated network of miR-34–regulated genes on day 7 after irradiation. Functional annotations highlight associations with apoptosis, cell cycle, fibrosis, EMT, and DNA repair. Asterisks indicate statistical significance (*P < 0.05, **P < 0.01, ***P < 0.001, ****P < 0.0001). For A and F, after normalization, data were analyzed using the ΔΔCt method and presented as fold-change relative to the 0 Gy control at each time point, and statistical significance was assessed using a mixed-effects model with Tukey’s test for multiple comparisons; mean ± SD.

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