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Table 4 Putative driver gene sets and metrics in GBM subtypes discovered by QuaDMutNetEx

From: QuaDMutNetEx: a method for detecting cancer driver genes with low mutation frequency

GenecD/RCOSMICDDBv2GenecD/RCOSMICDDBv2
Classical GBM         
Metrics: samplesgenesmutationsGenes in solutionCoverageExcess coverageConnected components 
  n=69p=487119260.62320.11635 
EGFR21DPCDHAC215
DNAH94GABRA64
PTPRG2TEK2
Mesenchymal GBM         
Metrics: samplesgenesmutationsGenes in solutionCoverageExcess coverageConnected components 
  n=75p=5101310120.77330.15524 
PTEN23DEGFR17D
PIK3CA5DCPNE83
KDM2B3NRXN13
INPPL13EZR2D
GRB102IRS12D
IRS42LZTR12D
Proneural GBM         
Metrics: samplesgenesmutationsGenes in solutionCoverageExcess coverageConnected components 
  n=44p=22955870.63640.07142 
TP5315RPCDHAC25
CHEK12CREBBP2D/R
DAXX2RMECOM2R
TBP2     
Neural GBM         
Metrics: samplesgenesmutationsGenes in solutionCoverageExcess coverageConnected components 
  n=41p=19948280.65850.03702 
TP5315RANK25
PDGFRA2DFLT12
PTPN112DCHD82
DYNC1I12KDR2D
  1. Boxes below the GBM subtypes show the metrics of a GBM subtype including number of samples, number of genes etc. Discovered genes by QuaDMutNetEx are below the metrics box. Number of patients in the dataset that had a mutation in the gene is in c column. D/R stand for dominant or recessive otherwise unknown. COSMIC [26, 27] column represent if the gene present in COSMIC Cancer Gene Census. Genes present in DriverDBv2 [28] are in DDBv2 column