Skip to main content

Table 5 Ranking comparison between thresholds of 15% and 40% in the pooled dataset.

From: A novel analysis strategy for integrating methylation and expression data reveals core pathways for thyroid cancer aetiology

 

Model 7

(>15% Methylation Change, Significances Combined)

Model 10

(>40% Methylation Change, Significances Combined)

KEGG TERMs

Pooled Dataset

Pooled Dataset

MAPK Signalling

6

-

ECM Receptor

3

2

ErbB Signalling

10

10

NF-KB Signalling

22

-

Wnt-β-Catenin Signalling

72

-

VEGF Signalling

30

24

Thyroid Cancer

45

-

Adherens Junction

14

13

p53 Signalling

54

-

TGF-beta Signalling

13

-

Notch Signalling

12

-

GnRH Signalling

56

15

Neurotrophin Signalling

17

9

Focal Adhesion

2

-

Transcr. Misregulation

51

-

Apoptosis

4

1

Pathways in Cancer

1

-

Toll-like receptor signalling pathway

8

-

Pentose-phosphate pathway

18

-

  1. Rankings of KEGG functional enrichment results on pooled dataset. After combining methylation and expression significances, genes having FDR<0.01 and having methylation change >15% and >40% are compared. As a result, threshold level of 15% is better at detecting thyroid related pathways.