Table 2

Pathways significantly enriched in the top cancer proteins ranked by network properties

Ranking

KEGG entry

Pathway name

No. of genea

P valueb

FDR P valuec


1

hsa05215

Prostate cancer

15

1.8 × 10 –19

4.5 × 10–18

2

hsa05220

Chronic myeloid leukemia

12

1.3 × 10 –15

1.6 × 10–14

3

hsa05219

Bladder cancer

9

1.3 × 10 –13

1.1 × 10–12

4

hsa05213

Endometrial cancer

9

1.3 × 10 –12

8.4 × 10–12

5

hsa05223

Non-small cell lung cancer

8

8.2 × 10–11

4.1 × 10–10

6

hsa05210

Colorectal cancer

9

2.0 × 10–10

8.4 × 10–10

7

hsa05214

Glioma

8

4.6 × 10–10

1.7 × 10–9

8

hsa05216

Thyroid cancer

6

8.1 × 10–10

2.5 × 10–9

9

hsa05218

Melanoma

8

1.0 × 10–9

2.9 × 10–9

10

hsa05212

Pancreatic cancer

8

1.2 × 10–9

3.0 × 10–9

11

hsa05221

Acute myeloid leukemia

7

4.4 × 10–9

1.0 × 10–8

12

hsa04012

ErbB signaling pathway

8

6.7 × 10–9

1.4 × 10–8

13

hsa05211

Renal cell carcinoma

7

2.1 × 10–8

4.0 × 10–8

14

hsa04110

Cell cycle

8

1.1 × 10–7

1.9 × 10–7

15

hsa05222

Small cell lung cancer

7

1.2 × 10–7

2.0 × 10–7

16

hsa04630

Jak-STAT signaling pathway

8

1.0 × 10–6

1.6 × 10–6

17

hsa04520

Adherens junction

6

1.1 × 10–6

1.6 × 10–6

18

hsa04916

Melanogenesis

6

6.6 × 10–6

9.1 × 10–6

19

hsa04310

Wnt signaling pathway

7

9.6 × 10–6

1.3 × 10–5

20

hsa04660

T cell receptor signaling pathway

5

4.9 × 10–5

6.2 × 10–5

21

hsa04510

Focal adhesion

7

7.8 × 10–5

9.3 × 10–5

22

hsa04650

Natural killer cell mediated cytotoxicity

5

3.7 × 10–4

4.2 × 10–4

23

hsa04120

Ubiquitin mediated proteolysis

5

4.0 × 10–4

4.3 × 10–4

24

hsa04010

MAPK signaling pathway

7

5.6 × 10–4

5.9 × 10–4


aNumber of genes in the 44 cancer protein set that could be found in KEGG pathways.

bP values were calculated by the Fisher’s exact test.

cFDR P values were calculated using Benjamini-Hochberg procedure.

Sun and Zhao BMC Genomics 2010 11(Suppl 3):S5   doi:10.1186/1471-2164-11-S3-S5

Open Data