Integrating genetic polymorphisms and clinical data to develop predictive models for skin toxicity in breast cancer radiation therapy

Integrating genetic polymorphisms and clinical data to develop predictive models for skin toxicity in breast cancer radiation therapy

Background: We aim to develop and validate predictive models for acute and late skin toxicity in breast cancer (BC) patients undergoing radiation therapy (RT). Models incorporate a genetic profile—comprising candidate single nucleotide polymorphisms (SNPs) in non-coding RNAs and previously reported...

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Main Authors: Ester Aguado-Flor, Victoria M. Reyes, Víctor Navarro, Meritxell Mollà, Miguel E. Aguado-Barrera, Manuel Altabas, David Azria, Adinda Baten, Celine Bourgier, Renée Bultijnck, Jenny Chang-Claude, Maria Carmen De Santis, Alison M. Dunning, Laura Duran-Lozano, Rebecca M. Elliott, Marie-Pierre Farcy Jacquet, Carlotta Giandini, Alexandra Giraldo, Sheryl Green, Maarten Lambrecht, Carlos Lopez-Pleguezuelos, Chris Monten, Tiziana Rancati, Tim Rattay, Barry S. Rosenstein, Dirk De Ruysscher, Orland Diez, Petra Seibold, Elena Sperk, R Paul Symonds, Hilary Stobart, Ana Vega, Liv Veldeman, Guillermo Villacampa, Adam J. Webb, Caroline Weltens, Paolo Zunino, Christopher J. Talbot, Catharine M. West, Jordi Giralt, Sara Gutiérrez-Enríquez
Format: Article
Language:English
Published: Elsevier 2025-08-01
Series:Breast
Subjects:
Breast cancer
Radiation therapy-induced side-effects
Non-coding RNA polymorphisms
Literature candidate polymorphisms' validation
Predictive models
Online Access:http://www.sciencedirect.com/science/article/pii/S0960977625005235
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http://www.sciencedirect.com/science/article/pii/S0960977625005235

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