A network-based biomarker approach for molecular investigation and diagnosis of lung cancer

BMC Medical Genomics

Table 1 The identified significant proteins in lung carcinogenesis

Protein symbol^†	CRV	p-value	Functional annotation*			Literature evidence^§
			Cell growth	Cell survival	Cell migration
MAPK1	8.3418	< 1e-5	+	+	+	[31, 32]
SMAD2	7.7901	< 1e-5	+	+	+	[36]
CREBBP	5.7870	0.00002	+			[44]
EGFR	4.3635	0.00086	+	+	+	[39–41]
AR	4.0966	0.00159	+	+	+	[49]
UBC	4.0331	0.00180
SRC	3.9446	0.00218	+	+	+	[51, 63]
FGFR1	3.9227	0.00237	+		+	[42]
BRCA1	3.9049	0.00243	+	+		[58]
ESR1	3.8409	0.00295	+	+	+	[50]
INSR	3.7946	0.00329	+		+	[43]
PTK2	3.6758	0.00432	+	+	+	[63, 64]
HSP90AA1	3.6732	0.00436	+	+	+	[54]
CALM1	3.6363	0.00482		+
POLR2A	3.5701	0.00547
CSNK2A1	3.4128	0.00761	+	+		[61]
PRKACA	3.3688	0.00856		+
CTNNB1	3.2935	0.00994	+	+	+	[45]
SP1	3.2397	0.01133	+	+		[59]
SMAD4	3.1947	0.01266	+	+	+	[36]
E2F1	3.1382	0.01407	+	+		[46]
YWHAZ	3.1212	0.01467	+			[52]
MEPCE	3.0968	0.01545
AKT1	3.0193	0.01857	+	+	+	[62]
PLCG1	2.9654	0.02069			+	[66]
MYC	2.8987	0.02385	+	+		[47]
MAPK3	2.8545	0.02654	+	+	+	[31, 32]
NCOA6	2.8132	0.02892	+	+
FYN	2.7833	0.03089	+		+	[48]
MAPK8IP3	2.7746	0.03141			+
YWHAQ	2.7582	0.03242	+			[53]
TRAF6	2.7150	0.03535		+		[57]
SMAD1	2.6940	0.03697	+	+	+	[37]
SMAD3	2.6815	0.03815	+	+	+	[36]
MAPK14	2.6727	0.03894	+	+	+	[34]
TP53	2.6522	0.04056	+	+	+	[40, 41, 55]
XRCC6	2.6270	0.04263		+
EZR	2.6213	0.04314			+	[67]
TSC2	2.6116	0.04401	+	+	+	[65]
HGS	2.5730	0.04744	+

^† The full names of these proteins according to UniProt database http://www.uniprot.org/ are listed in Additional file 2.
* The functional annotations are from the Gene Ontology database http://www.geneontology.org/ and literatures.
^§ The literature evidences indicate that overexpression/dysregulation of the specific protein or mutation of the corresponding gene would result in carcinogenesis.

ISSN: 1755-8794