Table 4 Functional clustering and KEGG pathway analysis of genes in CNGs significantly correlated with poor outcome.

From: Analysis of Copy-Number Variations and Feline Mammary Carcinoma Survival

Biological process

Genes

p-value

KEGG pathway analysis

 Endocytosis

ARFGAP1, PARD6B, IL2RA, CHMP4B, RAB22A, PIP5K1B, ASAP1, STAM, ITCH, SRC

0.003

 Tight junction

PRKCQ, PARD6B, CSNK2A1, EPB41L1, TJP2, MYH7B, SRC, MYL9

0.004

 Cell adhesion molecules (CAMs)

SIGLEC1, ITGA8, CD274 (PD-L1), CD40, SDC4, CDH4, PDCD1LG2 (PD-L2)

0.004

 Pathways in cancer

E2F1, PLCG1, LAMA5, MMP9, BCL2L1, STK4, MYC

0.04

Functional clustering

 WAP

WFDC8, PI3, SLPI, WFDC5, WFDC2, WFDC3, WFDC13

<0.00001

 Serine protease inhibitor

WFDC8, SPINT4, PI3, ITIH5, SLPI, ITIH2, WFDC5, WFDC2, WFDC3

0.001

 Protease inhibitor

WFDC8, SPINT4, PI3, SERPINE1, ITIH5, SLPI, ITIH2, R3HDML, WFDC5, WFDC2, WFDC3

0.02

 Serine-type endopeptidase inhibitor activity

WFDC8, SPINT4, PI3, ITIH5, SLPI, ITIH2, WFDC5, WFDC2, WFDC3

0.007

 Enzyme inhibitor activity

WFDC10B, PHACTR3, PKIG, ANXA1, TRIB3, BCL2L1, R3HDML, TRIB1, WFDC13, WFDC8, SPINT4, PI3, SLPI, ITIH5, ITIH2, WFDC5, WFDC2, WFDC3

0.004

  1. GOTERM.
  2. SP_PIR_KEYWORDS, and KEGG; Kyoto Encyclopaedia of Genes and Genomes. Data analysed with DAVID Bioinformatics.