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Prediction of central nervous system embryonal tumour outcome based on gene expression. 总被引:75,自引:0,他引:75
Scott L Pomeroy Pablo Tamayo Michelle Gaasenbeek Lisa M Sturla Michael Angelo Margaret E McLaughlin John Y H Kim Liliana C Goumnerova Peter M Black Ching Lau Jeffrey C Allen David Zagzag James M Olson Tom Curran Cynthia Wetmore Jaclyn A Biegel Tomaso Poggio Shayan Mukherjee Ryan Rifkin Andrea Califano Gustavo Stolovitzky David N Louis Jill P Mesirov Eric S Lander Todd R Golub 《Nature》2002,415(6870):436-442
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. 相似文献
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