Gene expression signature-based prognostic risk score in patients with glioblastoma

被引：61

作者：

Kawaguchi, Atsushi ^{[1
]}

Yajima, Naoki ^{[2
]}

Tsuchiya, Naoto ^{[2
]}

Homma, Jumpei ^{[2
]}

Sano, Masakazu ^{[2
]}

Natsumeda, Manabu ^{[2
]}

Takahashi, Hitoshi ^{[3
]}

Fujii, Yukihiko ^{[2
]}

Kakuma, Tatsuyuki ^{[1
]}

Yamanaka, Ryuya ^{[4
]}

机构：

[1] Kurume Univ, Sch Med, Ctr Biostat, Kurume, Fukuoka 830, Japan

[2] Niigata Univ, Brain Res Inst, Dept Neurosurg, Niigata 95021, Japan

[3] Niigata Univ, Brain Res Inst, Dept Pathol, Niigata, Japan

[4] Kyoto Prefectural Univ Med, Grad Sch Hlth Care Sci, Kyoto, Japan

来源：

CANCER SCIENCE | 2013年 / 104卷 / 09期

关键词：

SURVIVAL; GLIOMAS; CLASSIFICATION; IDENTIFICATION; PREDICTOR; SUBTYPES; IDH1;

D O I：

10.1111/cas.12214

中图分类号：

R73 [肿瘤学];

学科分类号：

100214 ;

摘要：

The present study aimed to identify genes associated with patient survival to improve our understanding of the underlying biology of gliomas. We investigated whether the expression of genes selected using random survival forests models could be used to define glioma subgroups more objectively than standard pathology. The RNA from 32 non-treated grade 4 gliomas were analyzed using the GeneChip Human Genome U133 Plus 2.0 Expression array (which contains approximately 47000 genes). Twenty-five genes whose expressions were strongly and consistently related to patient survival were identified. The prognosis prediction score of these genes was most significant among several variables and survival analyses. The prognosis prediction score of three genes and age classifiers also revealed a strong prognostic value among grade 4 gliomas. These results were validated in an independent samples set (n=488). Our method was effective for objectively classifying grade 4 gliomas and was a more accurate prognosis predictor than histological grading.

引用

页码：1205 / 1210

页数：6

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