Back to Search Start Over

Cytogenetic prognostication within medulloblastoma subgroups.

Authors :
Shih DJ
Northcott PA
Remke M
Korshunov A
Ramaswamy V
Kool M
Luu B
Yao Y
Wang X
Dubuc AM
Garzia L
Peacock J
Mack SC
Wu X
Rolider A
Morrissy AS
Cavalli FM
Jones DT
Zitterbart K
Faria CC
Schüller U
Kren L
Kumabe T
Tominaga T
Shin Ra Y
Garami M
Hauser P
Chan JA
Robinson S
Bognár L
Klekner A
Saad AG
Liau LM
Albrecht S
Fontebasso A
Cinalli G
De Antonellis P
Zollo M
Cooper MK
Thompson RC
Bailey S
Lindsey JC
Di Rocco C
Massimi L
Michiels EM
Scherer SW
Phillips JJ
Gupta N
Fan X
Muraszko KM
Vibhakar R
Eberhart CG
Fouladi M
Lach B
Jung S
Wechsler-Reya RJ
Fèvre-Montange M
Jouvet A
Jabado N
Pollack IF
Weiss WA
Lee JY
Cho BK
Kim SK
Wang KC
Leonard JR
Rubin JB
de Torres C
Lavarino C
Mora J
Cho YJ
Tabori U
Olson JM
Gajjar A
Packer RJ
Rutkowski S
Pomeroy SL
French PJ
Kloosterhof NK
Kros JM
Van Meir EG
Clifford SC
Bourdeaut F
Delattre O
Doz FF
Hawkins CE
Malkin D
Grajkowska WA
Perek-Polnik M
Bouffet E
Rutka JT
Pfister SM
Taylor MD
Source :
Journal of clinical oncology : official journal of the American Society of Clinical Oncology [J Clin Oncol] 2014 Mar 20; Vol. 32 (9), pp. 886-96. Date of Electronic Publication: 2014 Feb 03.
Publication Year :
2014

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.<br />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.<br />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.<br />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.

Details

Language :
English
ISSN :
1527-7755
Volume :
32
Issue :
9
Database :
MEDLINE
Journal :
Journal of clinical oncology : official journal of the American Society of Clinical Oncology
Publication Type :
Academic Journal
Accession number :
24493713
Full Text :
https://doi.org/10.1200/JCO.2013.50.9539