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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 5

Induction of EMT and profibrotic genes in irradiated ex vivo skin.

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Induction of EMT and profibrotic genes in irradiated ex vivo skin.
(A) B...
(A) Bubble plot depicting enrichment of profibrotic pathways, biological processes, and upstream regulators on day 2 (yellow) and day 7 (blue) after irradiation; x axis represents predicted activation z score, y axis shows the Benjamini-Hochberg–corrected –log10 P value, and bubble size reflects the number of overlapping genes. Data derived from IPA and plotted using ggplot2. (B) qPCR of EMT-inducing transcription in control (0 Gy) and 3.5 Gy irradiated skin on hour 1, days 4 and 7 after irradiation. Expression was normalized to 18S. (C) Representative IHC of vimentin in control and irradiated skin on day 4 after irradiation. (D) Representative IHC of E-cadherin in control and irradiated skin on day 4 after irradiation. (E) qPCR of profibrotic genes in control and 3.5 Gy irradiated skin on day 7 after irradiation. Expression was normalized to GAPDH and shown as relative expression (n = 9–12). (F) Picrosirius red staining of 2 Gy irradiated skin on day 0 and day 7 after irradiation with quantification of average collagen fiber thickness (n = 5). Asterisks indicate statistical significance (*P < 0.05, **P < 0.01, ***P < 0.001, ****P < 0.0001). n = 3 for B. n = 4 for C and D. Statistical analyses: 1-way ANOVA with Tukey’s correction for B–D; 2-tailed paired t tests for E and F. Total original magnification, ×10 (C), ×20 (D and F). Quantification presented as fold-change relative to control at each time point for B–D. All quantification for B–F presented as mean ± SD.

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