Evaluation of predictive biomarkers for late radiation toxicity in breast cancer patients

Radiotherapy is administered to 70% of breast cancer patients, but late complications such as breast fibrosis remain a significant clinical concern. Individual variability significantly influences radiosensitivity, underscoring the need for predictive biomarkers suitable for clinical application. We evaluated five assays using blood samples from 22 matched pairs of treated breast cancer patients, including one female who developed fibrosis grade II or higher and a female who did not. Matching was performed accounting for treatment type, tumor characteristics, and other variables. The assays included γ-H2AX detection, radiation-induced apoptosis evaluation, and cytogenetic analysis by chromosomal instability testing, and assessment of radiation-induced damage in G0- and G2- phase lymphocytes. The results indicated that patients who developed fibrosis presented significantly lower values in the G2 assay and higher values in the chromosomal instability test. The G2 assay evaluates the integrity of the G2/M checkpoint, while the chromosomal instability test measures chromosomal instability through crosslink sensitivity. In contrast, the other evaluated tests did not discriminate between groups. Considering the cohort and the variability in all tests, our results suggest that G2 assay and chromosomal instability test would be robust predictors of radiotherapy-induced breast fibrosis. Validation in a larger retrospective or prospective study is necessary.

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Publication Details

Journal
Scientific Reports
Published
2025-12-02
DOI
https://doi.org/10.1038/s41598-025-31033-x
Primary Topic
Effects of Radiation Exposure
Type
article
Field-Weighted Citation Impact
0.00

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article

Evaluation of predictive biomarkers for late radiation toxicity in breast cancer patients

Mònica Pujol-Canadell, Javier González-Viguera, Joan Francesc Barquinero, Marina Arangüena Peñacoba et al.
Scientific Reports
Effects of Radiation Exposure
article

Evaluation of predictive biomarkers for late radiation toxicity in breast cancer patients

Mònica Pujol-Canadell, Javier González-Viguera, Joan Francesc Barquinero, Marina Arangüena Peñacoba, Ferrán Guedea, Víctor González‐Rumayor, Milica Stefanović, Isabel Linares, Nadina Erill, Gemma Armengol, Montse Ventura, E. Martinez, Hector Pérez, Miquel Macià Garau, Ángela Solana-Peña
article en

Abstract

Radiotherapy is administered to 70% of breast cancer patients, but late complications such as breast fibrosis remain a significant clinical concern. Individual variability significantly influences radiosensitivity, underscoring the need for predictive biomarkers suitable for clinical application. We evaluated five assays using blood samples from 22 matched pairs of treated breast cancer patients, including one female who developed fibrosis grade II or higher and a female who did not. Matching was performed accounting for treatment type, tumor characteristics, and other variables. The assays included γ-H2AX detection, radiation-induced apoptosis evaluation, and cytogenetic analysis by chromosomal instability testing, and assessment of radiation-induced damage in G0- and G2- phase lymphocytes. The results indicated that patients who developed fibrosis presented significantly lower values in the G2 assay and higher values in the chromosomal instability test. The G2 assay evaluates the integrity of the G2/M checkpoint, while the chromosomal instability test measures chromosomal instability through crosslink sensitivity. In contrast, the other evaluated tests did not discriminate between groups. Considering the cohort and the variability in all tests, our results suggest that G2 assay and chromosomal instability test would be robust predictors of radiotherapy-induced breast fibrosis. Validation in a larger retrospective or prospective study is necessary.

Scientific ReportsVol. 16(1)
Universitat Autònoma de Barcelona (ES), Generalitat de Catalunya (ES), Institut d'Investigació Biomédica de Bellvitge (ES), Departament de Salut (ES), Ajuntament de L’Hospitalet (ES), Institut Català d'Oncologia (ES), Madrid Health Service (ES), Centre for Research on Ecology and Forestry Applications (ES), Duran i Reynals Hospital (ES)
Ministerio de Ciencia e Innovación
Openalex Percentile: Top 47%
Effects of Radiation Exposure
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