Back to Search
Start Over
Cytogenetic prognostication within medulloblastoma subgroups.
- 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.
- Subjects :
- Adolescent
Child
Child, Preschool
Chromosomes, Human, Pair 11
Chromosomes, Human, Pair 14
Cytogenetics
Female
Gene Expression Profiling
Gene Expression Regulation, Neoplastic
Humans
In Situ Hybridization, Fluorescence
Infant
Kruppel-Like Transcription Factors genetics
Male
Medulloblastoma mortality
Medulloblastoma pathology
Medulloblastoma therapy
Nuclear Proteins genetics
Predictive Value of Tests
Prognosis
Proportional Hazards Models
Proto-Oncogene Proteins c-myc genetics
Reproducibility of Results
Risk Assessment
Risk Factors
Tissue Array Analysis
Young Adult
Zinc Finger Protein Gli2
Biomarkers, Tumor genetics
Hedgehog Proteins genetics
Medulloblastoma genetics
Wnt Proteins genetics
Subjects
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