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Table 3 Gene networks associated with survival

From: Can gene expression profiling predict survival for patients with squamous cell carcinoma of the lung?

Network genes† Score‡ Association test p Prediction error
APLP2, ARL6IP, CASP3, CCNG1, CSF1, DNMT1, EPHA2, ERCC3, ERCC5, F 2, F5, FGF2, FUBP1, GPI, HAS2, HMOX2, IGFBP3, LOC283120, LOC91768, MDM4, MYC, P53AIP1, PCNA, PEG3, RARB, RPL21, RPS6, RRM2B, TAGLN2, THBD, TMSB4X, TP53, TP53I3, TP73, WT1 17 0.01* 7/15
AMSH, AR, ATF2, BAG1, BCL2L1, CREBBP, CYBA, ENO1, EP300, FOXG1B, HOXA9, HOXC8, HSF2, MADH1, MADH2, MADH3, MADH4, NCF1, NCF2, RBM14, RNF14, RTN1, RUNX2, SIAH1, SP3, TOB1, TP53, UBE2E3, UBE2I, ZNF8 9 0.02* 3/15
SAC, TEC 2 0.01* 4/15
RIPK1, TRIAD3 2 0.03* 4/15
MIR, TMEM4 2 0.01* 3/15
NSF, PIK3CG, RAB6A, RAB6KIFL 2 0.01* 0/15
ATP12A, ATP1A1, ATP1A2, ATP1A3, ATP1B1, FXYD7 1 0.004* 3/15
  1. † Genes in bold face are focus genes (among 126 genes submitted to the Ingenuity knowledge base). ‡ Score indicates the probability that a collection of focus genes could be found in a given network by chance. It is the negative logarithm of the possibility. A score of 2 indicates that chance is only 1%. * Indicates a strong association between the expressions of genes in a network and survival.