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

Michela Carlotta Massi; Francesca Gasperoni; Francesca Ieva; Anna Maria Paganoni; Paolo Zunino; Andrea Manzoni; Nicola Rares Franco; Liv Veldeman; Piet Ost; Valerie Fonteyne; Christopher J. Talbot; Tim Rattay; Adam Webb; Paul R. Symonds; Kerstie Johnson; Maarten Lambrecht; Karin Haustermans; Gert De Meerleer; Dirk de Ruysscher; Ben Vanneste; Evert Van Limbergen; Ananya Choudhury; Rebecca M. Elliott; Elena Sperk; Carsten Herskind; Marlon R. Veldwijk; Barbara Avuzzi; Tommaso Giandini; Riccardo Valdagni; Alessandro Cicchetti; David Azria; Marie-Pierre Farcy Jacquet; Barry S. Rosenstein; Richard G. Stock; Kayla Collado; Ana Vega; Miguel Elias Aguado-Barrera; Patricia Calvo; Alison M. Dunning; Laura Fachal; Sarah L. Kerns; Debbie Payne; Jenny Chang-Claude; Petra Seibold; Catharine M. L. West; Tiziana Rancati; REQUITE consortium

doi:10.3389/fonc.2020.541281

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

Michela Carlotta Massi, Francesca Gasperoni, Francesca Ieva^*, Anna Maria Paganoni, Paolo Zunino, Andrea Manzoni, Nicola Rares Franco, Liv Veldeman, Piet Ost, Valerie Fonteyne, Christopher J. Talbot, Tim Rattay, Adam Webb, Paul R. Symonds, Kerstie Johnson, Maarten Lambrecht, Karin Haustermans, Gert De Meerleer, Dirk de Ruysscher, Ben VannesteEvert Van Limbergen, Ananya Choudhury, Rebecca M. Elliott, Elena Sperk, Carsten Herskind, Marlon R. Veldwijk, Barbara Avuzzi, Tommaso Giandini, Riccardo Valdagni, Alessandro Cicchetti, David Azria, Marie-Pierre Farcy Jacquet, Barry S. Rosenstein, Richard G. Stock, Kayla Collado, Ana Vega, Miguel Elias Aguado-Barrera, Patricia Calvo, Alison M. Dunning, Laura Fachal, Sarah L. Kerns, Debbie Payne, Jenny Chang-Claude, Petra Seibold, Catharine M. L. West, Tiziana Rancati, REQUITE consortium

^*Corresponding author for this work

Research output: Contribution to journal › Article › Academic › peer-review

3 Citations (Web of Science)

Original language	English
Article number	541281
Number of pages	15
Journal	Frontiers in Oncology
Volume	10
DOIs	https://doi.org/10.3389/fonc.2020.541281
Publication status	Published - 15 Oct 2020

Keywords

prostate cancer
late toxicity
snps
deep learning
autoencoder
validation
GENOME-WIDE ASSOCIATION
QUALITY-OF-LIFE
RADIATION-THERAPY
RADIOGENOMICS
METAANALYSIS
CONSORTIUM
BIOMARKERS
SELECTION
VARIANTS
DESIGN

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10.3389/fonc.2020.541281Licence: CC BY

Cite this

Massi, M. C., Gasperoni, F., Ieva, F., Paganoni, A. M., Zunino, P., Manzoni, A., Franco, N. R., Veldeman, L., Ost, P., Fonteyne, V., Talbot, C. J., Rattay, T., Webb, A., Symonds, P. R., Johnson, K., Lambrecht, M., Haustermans, K., De Meerleer, G., de Ruysscher, D., ... REQUITE consortium (2020). A Deep Learning Approach Validates Genetic Risk Factors for Late Toxicity After Prostate Cancer Radiotherapy in a REQUITE Multi-National Cohort. Frontiers in Oncology, 10, [541281]. https://doi.org/10.3389/fonc.2020.541281

Massi, Michela Carlotta ; Gasperoni, Francesca ; Ieva, Francesca ; Paganoni, Anna Maria ; Zunino, Paolo ; Manzoni, Andrea ; Franco, Nicola Rares ; Veldeman, Liv ; Ost, Piet ; Fonteyne, Valerie ; 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 Elias ; Calvo, Patricia ; Dunning, Alison M. ; Fachal, Laura ; Kerns, Sarah L. ; Payne, Debbie ; Chang-Claude, Jenny ; Seibold, Petra ; West, Catharine M. L. ; Rancati, Tiziana ; REQUITE consortium. / A Deep Learning Approach Validates Genetic Risk Factors for Late Toxicity After Prostate Cancer Radiotherapy in a REQUITE Multi-National Cohort. In: Frontiers in Oncology. 2020 ; Vol. 10.

@article{7402ba83fcd142b28317abe7143f6f0d,

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

keywords = "prostate cancer, late toxicity, snps, deep learning, autoencoder, validation, GENOME-WIDE ASSOCIATION, QUALITY-OF-LIFE, RADIATION-THERAPY, RADIOGENOMICS, METAANALYSIS, CONSORTIUM, BIOMARKERS, SELECTION, VARIANTS, DESIGN",

author = "Massi, {Michela Carlotta} and Francesca Gasperoni and Francesca Ieva and Paganoni, {Anna Maria} and Paolo Zunino and Andrea Manzoni and Franco, {Nicola Rares} and Liv Veldeman and Piet Ost and Valerie Fonteyne and Talbot, {Christopher J.} and Tim Rattay and Adam Webb and Symonds, {Paul R.} and Kerstie Johnson and Maarten Lambrecht and Karin Haustermans and {De Meerleer}, Gert and {de Ruysscher}, Dirk and Ben Vanneste and {Van Limbergen}, Evert and Ananya Choudhury and Elliott, {Rebecca M.} and Elena Sperk and Carsten Herskind and Veldwijk, {Marlon R.} and Barbara Avuzzi and Tommaso Giandini and Riccardo Valdagni and Alessandro Cicchetti and David Azria and Jacquet, {Marie-Pierre Farcy} and Rosenstein, {Barry S.} and Stock, {Richard G.} and Kayla Collado and Ana Vega and Aguado-Barrera, {Miguel Elias} and Patricia Calvo and Dunning, {Alison M.} and Laura Fachal and Kerns, {Sarah L.} and Debbie Payne and Jenny Chang-Claude and Petra Seibold and West, {Catharine M. L.} and Tiziana Rancati and {REQUITE consortium}",

year = "2020",

month = oct,

day = "15",

doi = "10.3389/fonc.2020.541281",

language = "English",

volume = "10",

journal = "Frontiers in Oncology",

issn = "2234-943X",

publisher = "Frontiers Media S.A.",

}

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, M-PF, 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 & REQUITE consortium 2020, 'A Deep Learning Approach Validates Genetic Risk Factors for Late Toxicity After Prostate Cancer Radiotherapy in a REQUITE Multi-National Cohort', Frontiers in Oncology, vol. 10, 541281. https://doi.org/10.3389/fonc.2020.541281

A Deep Learning Approach Validates Genetic Risk Factors for Late Toxicity After Prostate Cancer Radiotherapy in a REQUITE Multi-National Cohort. / Massi, Michela Carlotta; Gasperoni, Francesca; Ieva, Francesca; Paganoni, Anna Maria; Zunino, Paolo; Manzoni, Andrea; Franco, Nicola Rares; Veldeman, Liv; Ost, Piet; Fonteyne, Valerie; 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 Elias; Calvo, Patricia; Dunning, Alison M.; Fachal, Laura; Kerns, Sarah L.; Payne, Debbie; Chang-Claude, Jenny; Seibold, Petra; West, Catharine M. L.; Rancati, Tiziana; REQUITE consortium.

In: Frontiers in Oncology, Vol. 10, 541281, 15.10.2020.

Research output: Contribution to journal › Article › Academic › peer-review

TY - JOUR

T1 - A Deep Learning Approach Validates Genetic Risk Factors for Late Toxicity After Prostate Cancer Radiotherapy in a REQUITE Multi-National Cohort

AU - Massi, Michela Carlotta

AU - Gasperoni, Francesca

AU - Ieva, Francesca

AU - Paganoni, Anna Maria

AU - Zunino, Paolo

AU - Manzoni, Andrea

AU - Franco, Nicola Rares

AU - Veldeman, Liv

AU - Ost, Piet

AU - Fonteyne, Valerie

AU - Talbot, Christopher J.

AU - Rattay, Tim

AU - Webb, Adam

AU - Symonds, Paul R.

AU - Johnson, Kerstie

AU - Lambrecht, Maarten

AU - Haustermans, Karin

AU - De Meerleer, Gert

AU - de Ruysscher, Dirk

AU - Vanneste, Ben

AU - Van Limbergen, Evert

AU - Choudhury, Ananya

AU - Elliott, Rebecca M.

AU - Sperk, Elena

AU - Herskind, Carsten

AU - Veldwijk, Marlon R.

AU - Avuzzi, Barbara

AU - Giandini, Tommaso

AU - Valdagni, Riccardo

AU - Cicchetti, Alessandro

AU - Azria, David

AU - Jacquet, Marie-Pierre Farcy

AU - Rosenstein, Barry S.

AU - Stock, Richard G.

AU - Collado, Kayla

AU - Vega, Ana

AU - Aguado-Barrera, Miguel Elias

AU - Calvo, Patricia

AU - Dunning, Alison M.

AU - Fachal, Laura

AU - Kerns, Sarah L.

AU - Payne, Debbie

AU - Chang-Claude, Jenny

AU - Seibold, Petra

AU - West, Catharine M. L.

AU - Rancati, Tiziana

AU - REQUITE consortium

PY - 2020/10/15

Y1 - 2020/10/15

KW - prostate cancer

KW - late toxicity

KW - snps

KW - deep learning

KW - autoencoder

KW - validation

KW - GENOME-WIDE ASSOCIATION

KW - QUALITY-OF-LIFE

KW - RADIATION-THERAPY

KW - RADIOGENOMICS

KW - METAANALYSIS

KW - CONSORTIUM

KW - BIOMARKERS

KW - SELECTION

KW - VARIANTS

KW - DESIGN

U2 - 10.3389/fonc.2020.541281

DO - 10.3389/fonc.2020.541281

M3 - Article

C2 - 33178576

VL - 10

JO - Frontiers in Oncology

JF - Frontiers in Oncology

SN - 2234-943X

M1 - 541281

ER -