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Table 2 Top five prognosis-related canonical pathways in Group 3

From: Subgroup-specific prognostic signaling and metabolic pathways in pediatric medulloblastoma

Database Name of gene set (GSEA) Exploratory dataset (n = 74) Validation dataset (n = 33) 1000 bootstrap datasets (n = 107) Representative core genes**
HR* p-value HR* p-value % of p-value < 0.05
PID Notch-mediated HES/HEY network 2.71 0.0001 2.21 0.087 98.8 MYOD1,KDM1A,GAA,MYB,CTBP1
Class I PI3K signaling events mediated by Akt 2.08 0.0044 2.40 0.021 97.1 YWHAZ,PRKDC,CDKN1B
p53 pathway 2.15 0.0052 1.79 0.071 92.8 DYRK2,RPL23,PPM1D,RPL11
C-MYC pathway 1.69 0.0087 2.26 0.040 89.4 RUVBL1,ACTL6A,RUVBL2
Regulation of retinoblastoma protein 2.01 0.0094 2.23 0.146 89.0 MYOD1,E2F3,CDKN1B,CDK4,CTBP1
KEGG Tyrosine metabolism 3.40 0.0002 5.22 0.000 100.0 COMT,MIF,GOT2
Melanoma 4.86 0.0001 4.64 0.048 99.5 FGF2,E2F3,CDK4
Bladder cancer 2.57 0.0040 5.73 0.020 97.2 MYC,E2F3,CDK4
Proteasome 1.94 0.0014 1.94 0.031 96.9 PSMB3,PSMC3,PSMB1,PSMC5,PSMD3, PSMA5,PSMB7,PSMA4,PSMD12,PSMA6,PSMD14
Galactose metabolism 2.13 0.0037 2.50 0.009 95.2 GLA,GAA,PGM2
BIOCARTA IL-2 Receptor Beta Chain in T cell Activation 3.60 0.0002 6.49 0.009 99.9 PPIA,STAT5B,MYC
Proteasome Complex 1.82 0.0041 1.67 0.038 95.5 PSMB3,PSMC3,PSMB1,RPN1,PSMA5,PSMB7, PSMA4,PSMD12,PSMA6,PSMD14
Influence of Ras and Rho proteins on G1 to S 1.87 0.0216 4.20 0.012 92.1 CDKN1B,CDK4
How Progesterone Initiates Oocyte Membrane 1.99 0.0183 3.66 0.041 86.4 ARPC3
CDK Regulation of DNA Replication 1.31 0.0418 1.42 0.173 74.6 MCM2,MCM5,ORC6,MCM4,CDT1,CDKN1B
  1. *Hazard ratio per 0.1 increment in average relative expression of core genes
  2. ** Representative core genes are significantly associated with overall survival (p-value < 0.05) in Cox regression analysis with all samples