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ArticleClinical epigenetics2025

Epigenome-wide analysis reveals potential biomarkers for radiation-induced toxicity risk in prostate cancer.

Carlos Lopez-Pleguezuelos, Miguel E Aguado-Barrera, Ana Carballo-Castro, Paula Peleteiro, Patricia Calvo-Crespo, Begoña Taboada-Valladares, Ramón Lobato-Busto, Olivia Fuentes-Ríos, Javier Galego-Carro, Carla Coedo-Costa and 2 more

Abstract read
In one paragraph

Article in Clinical epigenetics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Carlos Lopez-PleguezuelosGenetics in Cancer and Rare Diseases Group, Instituto de Investigación Sanitaria de Santiago de Compostela, Santiago de Compostela, Spain.
Miguel E Aguado-BarreraGenetics in Cancer and Rare Diseases Group, Instituto de Investigación Sanitaria de Santiago de Compostela, Santiago de Compostela, Spain.
Ana Carballo-CastroDepartment of Radiation Oncology, Hospital Clínico Universitario de Santiago de Compostela, Servizo Galego de Saúde (SERGAS), Santiago de Compostela, Spain.
Paula PeleteiroGenetics in Cancer and Rare Diseases Group, Instituto de Investigación Sanitaria de Santiago de Compostela, Santiago de Compostela, Spain.
Patricia Calvo-CrespoGenetics in Cancer and Rare Diseases Group, Instituto de Investigación Sanitaria de Santiago de Compostela, Santiago de Compostela, Spain.
Begoña Taboada-ValladaresGenetics in Cancer and Rare Diseases Group, Instituto de Investigación Sanitaria de Santiago de Compostela, Santiago de Compostela, Spain.
Ramón Lobato-BustoDepartment of Medical Physics, Hospital Clínico Universitario de Santiago de Compostela, Servizo Galego de Saúde (SERGAS), Santiago de Compostela, Spain.
Olivia Fuentes-RíosGenetics in Cancer and Rare Diseases Group, Instituto de Investigación Sanitaria de Santiago de Compostela, Santiago de Compostela, Spain.
Javier Galego-CarroGenetics in Cancer and Rare Diseases Group, Instituto de Investigación Sanitaria de Santiago de Compostela, Santiago de Compostela, Spain.
Carla Coedo-CostaGenetics in Cancer and Rare Diseases Group, Instituto de Investigación Sanitaria de Santiago de Compostela, Santiago de Compostela, Spain.
Antonio Gómez-CaamañoGenetics in Cancer and Rare Diseases Group, Instituto de Investigación Sanitaria de Santiago de Compostela, Santiago de Compostela, Spain.
Ana VegaGenetics in Cancer and Rare Diseases Group, Instituto de Investigación Sanitaria de Santiago de Compostela, Santiago de Compostela, Spain. ana.vega@usc.es.

Funding

Autonomous Government of Galicia (Consolidation and structuring program) IN607BFundación Científica Asociación Española Contra el Cáncer PRYES211091VEGASpanish Instituto de Salud Carlos III (ISCIII) funding, an initiative of the Spanish Ministry of Economy and Innovation partially supported by European Regional Development FEDER Funds PI22/00589
6 · The paper itself

Abstract

backgroundProstate cancer is the second most common cancer globally, with radiation therapy (RT) being a key treatment for clinically localized and locally advanced cases. Given high survival rates, addressing long-term side effects of RT is crucial for preserving quality-of-life. Radiogenomics, the study of genetic variations affecting response to radiation, has primarily focussed on genomic biomarkers, while DNA methylation studies offer insights into RT responses. Although most research has centred on tumours, no epigenome-wide association studies have explored peripheral blood biomarkers of RT-induced toxicities in prostate cancer patients. Identifying such biomarkers could reveal molecular mechanisms underlying RT response and enable personalized treatment.

methodsWe analysed 105 prostate cancer patients (52 cases and 53 controls). Cases developed grade ≥ 2 genitourinary and/or gastrointestinal late toxicity after 12 months of starting RT, whereas controls did not. An epigenome-wide association study of post-RT toxicities was performed using the Illumina MethylationEPIC BeadChip, adjusting for age and cell type composition. We constructed two methylation risk scores-one using differentially methylated positions (MRSsites) and another using differentially methylated regions (MRSregions)-as well as a Support Vector Machine-based methylation signature (SVMsites). We evaluated RT effects on biological age and stochastic epigenetic mutations within established radiation response pathways. Gene Ontology and pathway enrichment analyses were also performed.

resultsPre-RT methylation analysis identified 56 differentially methylated positions (adjusted p-value ≤ 0.05), and 6 differentially methylated regions (p-value ≤ 0.05) associated with the genes NTM, ACAP1, IL1RL2, VOOP1, AKR1E2, and an intergenic region on chromosome 13 related to Short/Long Interspersed Nuclear Elements. Both Methylation Risk Scores (MRSsites AUC = 0.87; MRSregions AUC = 0.89) and the 8-CpG Support Vector Machine signature (SVMsites AUC = 0.98) exhibited strong discriminatory accuracy in classifying patients in the discovery cohort. Gene ontology analysis revealed significant enrichment (adjusted p-value ≤ 0.05) of genes involved in DNA repair, inflammatory response, tissue repair, and oxidative stress response pathways.

conclusionsEpigenetic biomarkers show potential for predicting severe long-term adverse effects of RT in prostate cancer patients. The identified methylation patterns provide valuable insights into toxicity mechanisms and may aid personalized treatment strategies. However, validation in independent cohorts is essential to confirm their predictive value and clinical applicability.

Indexed as

DNA MethylationProstatic NeoplasmsRadiation InjuriesAgedBiomarkers, TumorCase-Control StudiesEpigenesis, GeneticEpigenomeEpigenomicsGenome-Wide Association StudyHumansMaleMiddle AgedRadiotherapyBiomarkers, TumorAdverse EffectsCancerEpigenetic biomarkersEWASProstateRadiogenomicsRadiotherapyStratify Patients for TreatmentsTherapy Response

Identifiers

PMID40050897
PMCPMC11887099

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