A Deep Learning Approach Validates Genetic Risk Factors for Late Toxicity After Prostate Cancer Radiotherapy in a REQUITE Multi-National Cohort

Background: REQUITE (validating pREdictive models and biomarkers of radiotherapy toxicity to reduce side effects and improve QUalITy of lifE in cancer survivors) is an international prospective cohort study. The purpose of this project was to analyse a cohort of patients recruited into REQUITE using...

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Autores principales: Massi, Michela Carlotta, Gasperoni, Francesca, Ieva, Francesca, Paganoni, Anna Maria, Zunino, Paolo, Manzoni, Andrea, Franco, Nicola Rares, Veldeman, Liv, Ost, Piet, Fonteyne, Valérie, Talbot, Christopher J., Rattay, Tim, Webb, Adam, Symonds, Paul R., Johnson, Kerstie, Lambrecht, Maarten, Haustermans, Karin, De Meerleer, Gert, de Ruysscher, Dirk, Vanneste, Ben, Van Limbergen, Evert, Choudhury, Ananya, Elliott, Rebecca M., Sperk, Elena, Herskind, Carsten, Veldwijk, Marlon R., Avuzzi, Barbara, Giandini, Tommaso, Valdagni, Riccardo, Cicchetti, Alessandro, Azria, David, Jacquet, Marie-Pierre Farcy, Rosenstein, Barry S., Stock, Richard G., Collado, Kayla, Vega, Ana, Aguado-Barrera, Miguel Elías, Calvo, Patricia, Dunning, Alison M., Fachal, Laura, Kerns, Sarah L., Payne, Debbie, Chang-Claude, Jenny, Seibold, Petra, West, Catharine M. L., Rancati, Tiziana
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7593843/
https://www.ncbi.nlm.nih.gov/pubmed/33178576
http://dx.doi.org/10.3389/fonc.2020.541281

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