Combination of laser microdissection, 2D-DIGE and MALDI-TOF MS to identify protein biomarkers to predict colorectal cancer spread

Table 1 Differentially expressed proteins of interest detected by 2D-DIGE that were chosen for evaluation by immunohistochemistry

No.	Gene name	Uniprot accession number	Protein name	Fold change (NM/M)*	p value (NM/M)	Peptides matched	Protein sequence coverage (%)
1	LTBP3	Q9NS15	Latent-transforming growth factor beta binding protein 3	1.7	0.05	19	16
2	HLAB	P30475	HLA class 1 histocompatibility antigen, B39 alpha chain	2.5	0.03	8	21
3	ADAMTS2	O95450	A disintegrin and metalloproteinase with thrombospodin motifs 2	1.5	0.01	14	22
4	RECK	O95980	Reversion-inducing cysteine-rich protein	1.8	0.03	15	19
5	WNT5A	P41221	Wnt-5a protein	0.56	0.06	9	22
6	14-3-3-β	P31946	14-3-3 protein beta/alpha	0.67	0.05	9	37
7	SRPX	P78539	Sushi repeat-containing protein SRPX	1.5	0.02	14	26
8	NME2	P22392	Nucleoside diphosphate kinase B (nm23H2)	1.6	0.005	8	38
9	MRLC 3	P19105	Myosin regulatory light chain MRLC3	0.67	0.025	7	46
10	JAG2	Q9Y219	Protein Jagged-2	1.7	0.05	23	20

Note: Student’s t test based on log2 transformed spot volumes between non-metastasized (NM) and metastasized (M) tumors

ISSN: 1559-0275