Skip to main content

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.