Proteomic patterns of cervical cancer cell lines, a network perspective

BMC Systems Biology

Table 3 Enriched KEGG pathway-based sets.

pathway name	set size	candidates contained	p-value	q-value	pathway source
Small cell lung cancer	84	37	8.67E-009	1.43E-006	KEGG
Protein processing in endoplasmic reticulur	164	57	4.21E-008	3.47E-006	KEGG
Pathways in cancer	325	94	8.81E-008	4.05E-006	KEGG
Apoptosis	87	36	9.82E-008	4.05E-006	KEGG
Neurotrophin signaling pathway	125	46	1.24E-007	4.10E-006	KEGG
T cell receptor signaling pathway	108	41	2.25E-007	6.19E-006	KEGG
Focal adhesion	199	62	9.45E-007	2.23E-005	KEGG
Prostate cancer	89	33	6.11E-006	1.26E-004	KEGG
Pathogenic Escherichia coli infection	54	23	1.13E-005	2.07E-004	KEGG
Endometrial cancer	52	22	1.99E-005	3.28E-004	KEGG
Shigellosis	61	24	3.61E-005	5.42E-004	KEGG
Non-small cell lung cancer	54	22	4.03E-005	5.54E-004	KEGG
Proteasome	44	19	5.17E-005	6.56E-004	KEGG
Bacterial invasion of epithelial cells	70	26	5.59E-005	6.59E-004	KEGG
B cell receptor signaling pathway	75	27	7.62E-005	8.38E-004	KEGG
Leukocyte transendothelial migration	116	37	8.27E-005	8.53E-004	KEGG

Set size refers to the number of entities that have a Uniprot ID as stated in the corresponding KEGG pathway-based set at the ConsensusPathDB site. The number of candidates contained refers to amount of proteins which are part of the extended network and appear as part of the pathway. P-values are calculated according to a hypergeometric test; q-values represent p-values corrected for multiple testing using the false discovery rate method.

ISSN: 1752-0509