Identification and validation of a gene expression signature that predicts             outcome in malignant glioma patients.
Better understanding of the underlying biology of malignant gliomas is critical             for the development of early detection strategies and new therapeutics. This study             aimed to define genes associated with survival. We investigated whether genes             selected using random survival forests model could be used to define subgroups             of gliomas objectively. RNAs from 50 non-treated gliomas were analyzed using the             GeneChip Human Genome U133 Plus 2.0 Expression array. We identified 82 genes whose             expression was strongly and consistently related to patient survival. For practical             purposes, a 15-gene set was also selected. Both the complete 82 gene signature             and the 15 gene set subgroup indicated their significant predictivity in the 3             out of 4 independent external dataset. Our method was effective for objectively             classifying gliomas, and provided a more accurate predictor of prognosis. We assessed             the relationship between gene expressions and survival time by using the random             survival forests model and this performance was a better classifier compared to             significance analysis of microarrays.
Department of Neurosurgery, Niigata University, Kyoto, Japan.
Atsushi
A
Kawaguchi
Naoki
N
Yajima
Yoshihiro
Y
Komohara
Hiroshi
H
Aoki
Naoto
N
Tsuchiya
Jumpei
J
Homma
Masakazu
M
Sano
Manabu
M
Natsumeda
Takeo
T
Uzuka
Akihiko
A
Saitoh
Hideaki
H
Takahashi
Yuko
Y
Sakai
Hitoshi
H
Takahashi
Yukihiko
Y
Fujii
Tatsuyuki
T
Kakuma
Ryuya
R
Yamanaka
D000368:Aged; D005260:Female; D015870:Gene Expression; D020869:Gene Expression Profiling / Q000379:methods; D005820:Genetic Testing / Q000379:methods; D005910:Glioma / Q000235:genetics* / Q000473:pathology*; D006801:Humans; D008297:Male; D009367:Neoplasm Staging; D011379:Prognosis; D012313:RNA / Q000235:genetics; D015996:Survival Rate
D012313:RNA