Journal articles
Machine Learning for Better Prognostic Stratification and Driver Gene Identification Using Somatic Copy Number Variations in Anaplastic Oligodendroglioma
Shai Rosenberg
1
Francois Ducray
Agusti Alentorn
1
Caroline Dehais
2
Nabila Elarouci
3
Aurelie Kamoun
Yannick Marie
4
Marie-Laure Tanguy
Aurélien de Reynies
Karima Mokhtari
4
Dominique Figarella‑branger
5, 6
Jean-Yves Delattre
Ahmed Idbaih
4
Aurélien de Reynies
Author
Karima Mokhtari 4
Author
Dominique Figarella‑branger 5, 6
Author IdHAL : dominique-figarella-branger
Jean-Yves Delattre
Author
Ahmed Idbaih 4
Author
1
ICM - Institut du Cerveau et de la Moëlle Epinière = Brain and Spine Institute (47-83 Boulevard de l'Hôpital 75651 Paris Cedex 13 - France)
- UPMC - Université Pierre et Marie Curie - Paris 6 : UM75 (4 place Jussieu - 75005 Paris - France)
- INSERM - Institut National de la Santé et de la Recherche Médicale : U1127 (101, rue de Tolbiac, 75013 Paris - France)
- CNRS - Centre National de la Recherche Scientifique : UMR7225 (France)
- CHU Pitié-Salpêtrière [AP-HP] (47-83 Boulevard de l'Hôpital, 75013 Paris - France)
2
CHU Pitié-Salpêtrière [AP-HP] (47-83 Boulevard de l'Hôpital, 75013 Paris - France)
3
CIT - (le programme) Cartes d'identité des tumeurs (14, rue Corvisart - 75013 Paris - France)
4
Biologie des Interactions Neurones / Glie (GH Pitie-Salpetriere 47, Boulevard de L'Hopital 75651 PARIS CEDEX 13 - France)
- UPMC - Université Pierre et Marie Curie - Paris 6 (4 place Jussieu - 75005 Paris - France)
- INSERM - Institut National de la Santé et de la Recherche Médicale : U711 (101, rue de Tolbiac, 75013 Paris - France)
5
INP - Institut de neurophysiopathologie (Faculté de Médecine Campus Timone
27 Boulevard Jean MOULIN
13385 Marseille - France - France)
- AMU - Aix Marseille Université : UMR7051 (Aix-Marseille Université Jardins du Pharo 58 Boulevard Charles Livon 13284 Marseille cedex 7 - France)
- CNRS - Centre National de la Recherche Scientifique : UMR7051 (France)
Abstract : 1p/19q-codeleted anaplastic gliomas have variable clinical behavior. We have recently shown that the common 9p21.3 allelic loss is an independent prognostic factor in this tumor type. The aim of this study is to identify less frequent genomic copy number variations (CNVs) with clinical importance that may shed light on molecular oncogenesis of this tumor type.
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Journal articles
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https://hal-amu.archives-ouvertes.fr/hal-01858235
Contributor : Dominique Figarella-Branger <>
Submitted on : Monday, August 20, 2018 - 11:47:33 AM
Last modification on : Thursday, August 20, 2020 - 3:05:09 AM
Contributor : Dominique Figarella-Branger <>
Submitted on : Monday, August 20, 2018 - 11:47:33 AM
Last modification on : Thursday, August 20, 2020 - 3:05:09 AM
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- HAL Id : hal-01858235, version 1
- DOI : 10.1634/theoncologist.2017-0495
- PUBMED : 30018130
Collections
UNIV-AMU | CNRS | INP-GLIOME | INP | SORBONNE-UNIVERSITE | ICM | SU-MEDECINE
Citation
Shai Rosenberg, Francois Ducray, Agusti Alentorn, Caroline Dehais, Nabila Elarouci, et al.. Machine Learning for Better Prognostic Stratification and Driver Gene Identification Using Somatic Copy Number Variations in Anaplastic Oligodendroglioma. Oncologist, AlphaMed Press, 2018, ⟨10.1634/theoncologist.2017-0495⟩. ⟨hal-01858235⟩
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