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A Deep Learning Approach Validates Genetic Risk Factors for Late Toxicity After Prostate Cancer Radiotherapy in a REQUITE Multi-National Cohort.
Massi MC, Gasperoni F, Ieva F, Paganoni AM, Zunino P, Manzoni A, Franco NR, Veldeman L, Ost P, Fonteyne V, Talbot CJ, Rattay T, Webb A, Symonds PR, Johnson K, Lambrecht M, Haustermans K, De Meerleer G, de Ruysscher D, Vanneste B, Van Limbergen E, Choudhury A, Elliott RM, Sperk E, Herskind C, Veldwijk MR, Avuzzi B, Giandini T, Valdagni R, Cicchetti A, Azria D, Jacquet MF, Rosenstein BS, Stock RG, Collado K, Vega A, Aguado-Barrera ME, Calvo P, Dunning AM, Fachal L, Kerns SL, Payne D, Chang-Claude J, Seibold P, West CML, Rancati T. Massi MC, et al. Among authors: collado k. Front Oncol. 2020 Oct 15;10:541281. doi: 10.3389/fonc.2020.541281. eCollection 2020. Front Oncol. 2020. PMID: 33178576 Free PMC article.
Survey of Radiation Oncologists to Assess Interest and Potential Use of a Genetic Test Predicting Susceptibility for the Development of Toxicities After Prostate Cancer Radiation Therapy.
Collado K, Kerns SL, Diefenbach MA, Peterson-Roth E, Koski R, Ostrer H, Stock RG, Mattessich M, Kaplan P, Rosenstein BS. Collado K, et al. Adv Radiat Oncol. 2020 Apr 18;5(5):897-904. doi: 10.1016/j.adro.2020.03.019. eCollection 2020 Sep-Oct. Adv Radiat Oncol. 2020. PMID: 33083651 Free PMC article.