Gene-expression of metastasized versus non-metastasized primary head and neck squamous cell carcinomas: A pathway-based analysis

Table 2 Differentially expressed genes between N0 and N+ HNSCC as validated by the independent expression dataset

Gene	GenBank ID	Function	P-Value	P-Value (FDR adjusted)
LLGL2	NM_001031803	cell division and migration	0.011	0.116
FAP	NM_004460	ecm remodelling	0.013	0.116
PLAU	NM_002658	ecm remodelling	0.017	0.116
LAMB1	NM_002291	basement membrane component	0.022	0.116
MSC	NM_005098	transcription factor	0.030	0.126
COL5A1	NM_000093	ecm component	0.039	0.134
COL5A3	NM_015719	ecm component	0.045	0.134
COL4A1	NM_001845	ecm component	0.077	0.201
LAMA4	NM_002290	basement membrane component	0.103	0.240
CYB5R3	NM_000398	Metabolism	0.237	0.488
CSTA	NM_005213	cell envelope	0.255	0.488
PPL	NM_002705	cell envelope	0.283	0.496
NTHL1	NM_002528	DNA damage repair	0.454	0.682
TNFAIP3	NM_006290	inhibit TNF-mediated apoptosis.	0.477	0.682
TTYH1	NM_020659	chloride anion channel	0.487	0.682
PALM2-AKAP2	NM_147150	Unknown	0.617	0.809
SCRG1	NM_007281	response to prion-associated infection	0.727	0.866
ADAM12	NM_021641	ecm remodelling	0.742	0.866
FADS1	NM_013402	Metabolism	0.869	0.888
SOX4	NM_003107	apoptosis and survival	0.876	0.888
IVL	NM_005547	cell envelope	0.888	0.888
FN1	NM_212482	cell adhesion and migration	-	-
PELO	NM_181501	cell cycle control	-	-
FBXL19	NM_019085	F-box protein	-	-
DMKN	NM_033317	Unknown	-	-
EPPK1	NM_031308	cell adhesion	-	-

ecm = extra cellular matrix. P-value = raw p-value of the LIMMA analysis. P-value (FDR adjusted) = p-value of the LIMMA analysis, corrected for multiple testing. P-values for genes that were not represented on the Affymetrix HG U95Av2 microarray used for the validation dataset are missing. Differentially expressed genes are considered to be validated by the validation dataset if the FDR adjusted p-value is smaller than 0.05. Although the first 7 genes (LLGL2, FAP, PLAU, LAMB1, MSC, COL5A1 and COL5A3) score a raw p-value smaller than 0.05, none of them pass the correction for multiple testing.

ISSN: 1471-2407