Prediction of central nervous system embryonal tumour outcome based on gene expression
| Autor: | Jill P. Mesirov, Liliana Goumnerova, Lisa Marie Sturla, Scott L. Pomeroy, Ching C. Lau, Tom Curran, Ryan Rifkin, David N. Louis, John Y.H. Kim, Shayan Mukherjee, Jaclyn A. Biegel, Gustavo Stolovitzky, Michelle Gaasenbeek, Andrea Califano, Todd R. Golub, Michael Angelo, Eric S. Lander, David Zagzag, Tomaso Poggio, James M. Olson, Jeffrey C. Allen, Margaret McLaughlin, Peter McL. Black, Pablo Tamayo, Cynthia Wetmore |
|---|---|
| Rok vydání: | 2002 |
| Předmět: |
Adolescent
Central nervous system Bioinformatics Diagnosis Differential Outcome Assessment Health Care medicine Humans Sonic hedgehog Cerebellar Neoplasms Child Oligonucleotide Array Sequence Analysis Medulloblastoma Multidisciplinary biology Gene Expression Profiling Cancer Cell cycle Prognosis medicine.disease Gene expression profiling CXCL3 medicine.anatomical_structure biology.protein Cancer research DNA microarray |
| Zdroj: | Nature. 415:436-442 |
| ISSN: | 1476-4687 0028-0836 |
| DOI: | 10.1038/415436a |
| Popis: | Embryonal tumours of the central nervous system (CNS) represent a heterogeneous group of tumours about which little is known biologically, and whose diagnosis, on the basis of morphologic appearance alone, is controversial. Medulloblastomas, for example, are the most common malignant brain tumour of childhood, but their pathogenesis is unknown, their relationship to other embryonal CNS tumours is debated, and patients' response to therapy is difficult to predict. We approached these problems by developing a classification system based on DNA microarray gene expression data derived from 99 patient samples. Here we demonstrate that medulloblastomas are molecularly distinct from other brain tumours including primitive neuroectodermal tumours (PNETs), atypical teratoid/rhabdoid tumours (AT/RTs) and malignant gliomas. Previously unrecognized evidence supporting the derivation of medulloblastomas from cerebellar granule cells through activation of the Sonic Hedgehog (SHH) pathway was also revealed. We show further that the clinical outcome of children with medulloblastomas is highly predictable on the basis of the gene expression profiles of their tumours at diagnosis. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|