Intrinsic Gene Expression Profiles of Gliomas are a Better Predictor of Survival than Histology

·发布 2010年4月26日 ·更新 2012年3月27日

284

样本数

284

实验数

芯片平台

相关文献

实验描述

Histological classification of gliomas guides treatment decisions. Because of the high interobserver variability, we aimed to improve classification by performing gene expression profiling on a large cohort of glioma samples of all histological subtypes and grades. The seven identified intrinsic molecular subtypes are different from histological subgroups and correlate better to patient survival. Our data indicate that distinct molecular subgroups clearly benefit from treatment. Specific genetic changes (EGFR amplification, IDH1 mutation, 1p/19q LOH) segregate in -and may drive- the distinct molecular subgroups. Our findings were validated on three large independent sample cohorts (TCGA, REMBRANDT, and GSE12907). We provide compelling evidence that expression profiling is a more accurate and objective method to classify gliomas than histology. 276 glioma samples of all histology, 8 control samples

参考文献

Intrinsic gene expression profiles of gliomas are a better predictor of survival than histology.

Gravendeel LA, Kouwenhoven MC, Gevaert O, de Rooi JJ, Stubbs AP, Duijm JE, Daemen A, Bleeker FE, Bralten LB, Kloosterhof NK, De Moor B, Eilers PH, van der Spek PJ, Kros JM, Sillevis Smitt PA, van den Bent MJ, French PJ

PMID: 19920198

芯片平台

A-GEOD-8542

Affymetrix GeneChip Human Genome U133 Plus 2.0 Array [CDF: Hs133P_Hs_ENTREZG.cdf]（284 例）

样本属性

age at diagnosis

11.72, 14.38, 15.02, 15.67, 17.55, 22.28, 22.52, 23.02, 23.33, 23.72, 23.88, 24.42, 26.17, 26.66, 28.55, 28.69, 29.55, 30.33, 30.43, 30.69, 31.53, 31.56, 31.72, 31.77, 32.14, 32.15, 32.35, 32.36, 32.50, 32.59, 32.92, 32.98, 33.09, 33.12, 33.20, 33.25, 33.26, 33.48, 33.74, 33.83, 33.88, 33.89, 34.71, 34.78, 34.84, 34.93, 35.23, 35.67, 35.70, 35.92, 36.27, 36.50, 36.61, 36.66, 37.02, 37.08, 37.11, 37.12, 37.18, 37.25, 37.44, 37.55, 37.60, 37.61, 37.84, 37.98, 38.05, 38.07, 38.11, 38.37, 38.40, 38.42, 38.53, 38.58, 39.36, 39.92, 39.99, 40.06, 40.58, 40.74, 41.09, 41.39, 41.77, 41.93, 41.98, 42.56, 42.67, 42.70, 42.98, 43.00, 43.11, 43.21, 43.26, 43.57, 43.64, 43.85, 43.89, 43.90, 43.93, 44.09, 44.15, 44.41, 44.57, 44.74, 45.39, 45.50, 45.63, 45.71, 46.04, 46.15, 46.47, 46.51, 46.52, 46.61, 46.83, 46.86, 47.29, 47.40, 47.74, 47.93, 48.03, 48.04, 48.10, 48.35, 48.60, 48.84, 49.14, 49.64, 49.83, 49.94, 50.23, 50.34, 50.83, 51.17, 51.40, 51.44, 51.62, 51.63, 51.64, 51.85, 51.92, 52.06, 52.07, 52.20, 52.50, 52.52, 52.69, 52.88, 52.98, 53.26, 53.30, 53.65, 53.85, 54.00, 54.06, 54.12, 54.18, 54.35, 54.37, 54.59, 54.60, 54.72, 54.94, 54.98, 55.20, 55.39, 55.42, 55.49, 55.52, 55.55, 55.71, 55.98, 56.15, 56.41, 56.42, 56.62, 56.64, 56.85, 57.01, 57.22, 57.25, 57.58, 57.64, 57.68, 57.70, 58.23, 58.58, 58.71, 58.78, 59.03, 59.35, 59.56, 60.28, 60.33, 60.36, 60.39, 60.46, 60.78, 61.10, 61.28, 61.31, 61.33, 61.74, 62.11, 62.20, 62.28, 62.36, 62.46, 62.96, 63.08, 63.10, 63.30, 63.33, 63.61, 63.73, 64.01, 64.26, 64.28, 64.29, 64.61, 64.97, 65.35, 65.52, 65.53, 65.59, 66.39, 66.80, 66.86, 67.01, 67.03, 67.10, 67.11, 67.13, 67.48, 67.60, 68.04, 68.18, 68.46, 69.38, 69.88, 69.89, 69.95, 70.07, 70.23, 70.28, 70.30, 70.51, 70.67, 70.98, 71.02, 71.09, 71.11, 72.22, 73.11, 73.19, 73.64, 73.65, 74.56, 75.13, 77.31, 78.08, 78.12, 78.52, 78.82, 79.06, 79.19, 80.65, 81.18

gender

female, male

histology

A (grade II), A (grade III), control, GBM (grade IV), OA (grade II), OA (grade III), OD (grade II), OD (grade III), PA (grade I)

Organism

Homo sapiens

tissue

brain

实验信息

登记号

E-GEOD-16011

GEO 编号

GSE16011

实验类型

transcription profiling by array

物种

Homo sapiens

发布日期

2010年4月26日

更新日期

2012年3月27日

提交者

Bart De Moor、 Pim French、 Peter J van der Spek、 Mathilde C Kouwenhoven、 Fonnet E Bleeker、 Peter A Sillevis Smitt、 Johan M Kros、 Olivier Gevaert、 Pim J French、 Anneleen Daemen、 Nanne Kloosterhof、 Johan J de Rooi、 Linda B Bralten、 Andrew P Stubbs、 Martin J van den Bent、 J E Duijm、 Lonneke A Gravendeel

外部链接

ArrayExpress 原始页 NCBI GEO：GSE16011

分析服务

Intrinsic Gene Expression Profiles of Gliomas are a Better Predictor of Survival than Histology

联系地址

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