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...

Полное описание

Библиографические подробности

Главные авторы:	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
Формат:	Artigo
Язык:	Inglês
Опубликовано:	Elsevier 2025-08-01
Серии:	Breast
Предметы:	Breast cancer Radiation therapy-induced side-effects Non-coding RNA polymorphisms Literature candidate polymorphisms' validation Predictive models
Online-ссылка:	http://www.sciencedirect.com/science/article/pii/S0960977625005235
Метки:	Добавить метку Нет меток, Требуется 1-ая метка записи!