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dc.contributor.author Shih, DJ
dc.contributor.author Northcott, PA
dc.contributor.author Remke, M
dc.contributor.author Korshunov, A
dc.contributor.author Ramaswamy, V
dc.contributor.author Kool, M
dc.contributor.author Luu, B
dc.contributor.author Yao, Y
dc.contributor.author Wang, X
dc.contributor.author Dubuc, AM
dc.contributor.author Garzia, L
dc.contributor.author Peacock, J
dc.contributor.author Mack, SC
dc.contributor.author Wu, X
dc.contributor.author Rolider, A
dc.contributor.author Morrissy, AS
dc.contributor.author Cavalli, FM
dc.contributor.author Jones, DT
dc.contributor.author Zitterbart, K
dc.contributor.author Faria, CC
dc.contributor.author Schuller, U
dc.contributor.author Kren, L
dc.contributor.author Kumabe, T
dc.contributor.author Tominaga, T
dc.contributor.author Shin, Ra Y
dc.contributor.author Garami, Miklós
dc.contributor.author Hauser, Péter
dc.contributor.author Chan, JA
dc.contributor.author Robinson, S
dc.contributor.author Bognár, László
dc.contributor.author Klekner, Álmos
dc.contributor.author Saad, AG
dc.contributor.author Liau, LM
dc.contributor.author Albrecht, S
dc.contributor.author Fontebasso, A
dc.contributor.author Cinalli, G
dc.contributor.author De Antonellis, P
dc.contributor.author Zollo, M
dc.contributor.author Cooper, MK
dc.contributor.author Thompson, RC
dc.contributor.author Bailey, S
dc.contributor.author Lindsey, JC
dc.contributor.author Di Rocco, C
dc.contributor.author Massimi, L
dc.contributor.author Michiels, EM
dc.contributor.author Scherer, SW
dc.contributor.author Phillips, JJ
dc.contributor.author Gupta, N
dc.contributor.author Fan, X
dc.contributor.author Muraszko, KM
dc.contributor.author Vibhakar, R
dc.contributor.author Eberhart, CG
dc.contributor.author Fouladi, M
dc.contributor.author Lach, B
dc.contributor.author Jung, S
dc.contributor.author Wechsler-Reya, RJ
dc.contributor.author Fevre-Montange, M
dc.contributor.author Jouvet, A
dc.contributor.author Jabado, N
dc.contributor.author Pollack, IF
dc.contributor.author Weiss, WA
dc.contributor.author Lee, JY
dc.contributor.author Cho, BK
dc.contributor.author Kim, SK
dc.contributor.author Wang, KC
dc.contributor.author Leonard, JR
dc.contributor.author Rubin, JB
dc.contributor.author de Torres, C
dc.contributor.author Lavarino, C
dc.contributor.author Mora, J
dc.contributor.author Cho, YJD
dc.contributor.author Tabori, U
dc.contributor.author Olson, JM
dc.contributor.author Gajjar, A
dc.contributor.author Packer, RJ
dc.contributor.author Rutkowski, S
dc.contributor.author Pomeroy, SL
dc.contributor.author French, PJ
dc.contributor.author Kloosterhof, NK
dc.contributor.author Kros, JM
dc.contributor.author Van, Meir EG
dc.contributor.author Clifford, SC
dc.contributor.author Bourdeaut, F
dc.contributor.author Delattre, O
dc.contributor.author Doz, FF
dc.contributor.author Hawkins, CE
dc.contributor.author Malkin, D
dc.contributor.author Grajkowska, WA
dc.contributor.author Perek-Polnik, M
dc.contributor.author Bouffet, E
dc.contributor.author Rutka, JT
dc.contributor.author Pfister, SM
dc.contributor.author Taylor, M
dc.date.accessioned 2021-12-16T07:29:44Z
dc.date.available 2021-12-16T07:29:44Z
dc.date.issued 2014
dc.identifier 84899684426
dc.identifier.citation pagination=886-896; journalVolume=32; journalIssueNumber=9; journalTitle=JOURNAL OF CLINICAL ONCOLOGY;
dc.identifier.uri http://repo.lib.semmelweis.hu//handle/123456789/2299
dc.identifier.uri doi:10.1200/JCO.2013.50.9539
dc.description.abstract PURPOSE: Medulloblastoma comprises four distinct molecular subgroups: WNT, SHH, Group 3, and Group 4. Current medulloblastoma protocols stratify patients based on clinical features: patient age, metastatic stage, extent of resection, and histologic variant. Stark prognostic and genetic differences among the four subgroups suggest that subgroup-specific molecular biomarkers could improve patient prognostication. PATIENTS AND METHODS: Molecular biomarkers were identified from a discovery set of 673 medulloblastomas from 43 cities around the world. Combined risk stratification models were designed based on clinical and cytogenetic biomarkers identified by multivariable Cox proportional hazards analyses. Identified biomarkers were tested using fluorescent in situ hybridization (FISH) on a nonoverlapping medulloblastoma tissue microarray (n = 453), with subsequent validation of the risk stratification models. RESULTS: Subgroup information improves the predictive accuracy of a multivariable survival model compared with clinical biomarkers alone. Most previously published cytogenetic biomarkers are only prognostic within a single medulloblastoma subgroup. Profiling six FISH biomarkers (GLI2, MYC, chromosome 11 [chr11], chr14, 17p, and 17q) on formalin-fixed paraffin-embedded tissues, we can reliably and reproducibly identify very low-risk and very high-risk patients within SHH, Group 3, and Group 4 medulloblastomas. CONCLUSION: Combining subgroup and cytogenetic biomarkers with established clinical biomarkers substantially improves patient prognostication, even in the context of heterogeneous clinical therapies. The prognostic significance of most molecular biomarkers is restricted to a specific subgroup. We have identified a small panel of cytogenetic biomarkers that reliably identifies very high-risk and very low-risk groups of patients, making it an excellent tool for selecting patients for therapy intensification and therapy de-escalation in future clinical trials.
dc.relation.ispartof urn:issn:0732-183X
dc.title Cytogenetic Prognostication Within Medulloblastoma Subgroups
dc.type Journal Article
dc.date.updated 2015-11-06T15:25:21Z
dc.language.rfc3066 en
dc.identifier.mtmt 2526838
dc.identifier.wos 000335137900019
dc.identifier.pubmed 24493713
dc.contributor.department SE/AOK/K/II. Sz. Gyermekgyógyászati Klinika
dc.contributor.institution Semmelweis Egyetem


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