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Table 3 The results for KEGG analysis in stable CAD patients compared to healthy subjects

From: KLRD1, FOSL2 and LILRB3 as potential biomarkers for plaques progression in acute myocardial infarction and stable coronary artery disease

Gene set

Description

Size

Leading edge number

ES

NES

P value

FDR

hsa04621

NOD-like receptor signaling pathway

8

6

− 0.77061

− 2.0947

0.0014245

0.0039551

hsa04060

Cytokine-cytokine receptor interaction

7

4

− 0.77594

− 1.9948

0.001462

0.0050427

hsa05132

Salmonella infection

5

4

− 0.87092

− 2.0026

0

0.0051911

hsa04657

IL-17 signaling pathway

7

6

− 0.8278

− 2.1093

0

0.0051911

hsa04010

MAPK signaling pathway

7

6

− 0.7715

− 1.9341

0.0014451

0.006427

hsa04151

PI3K-Akt signaling pathway

7

5

− 0.71874

− 1.855

0.005571

0.0084046

hsa05167

Kaposi sarcoma-associated herpesvirus infection

7

4

− 0.72723

− 1.8713

0.0028011

0.0085282

hsa04064

NF-kappa B signaling pathway

8

6

− 0.79671

− 2.1169

0.0013966

0.008899

hsa04668

TNF signaling pathway

9

8

− 0.67798

− 1.8731

0.002751

0.0097465

hsa05163

Human cytomegalovirus infection

5

3

− 0.77931

− 1.7897

0.004644

0.017353

hsa04620

Toll-like receptor signaling pathway

5

3

− 0.74322

− 1.7044

0.01682

0.028378

hsa05142

Chagas disease (American trypanosomiasis)

5

3

− 0.74322

− 1.7044

0.01682

0.028378

hsa05200

Pathways in cancer

7

6

− 0.6674

− 1.7301

0.011561

0.029528

hsa04932

Non-alcoholic fatty liver disease (NAFLD)

5

4

− 0.74563

− 1.7086

0.006006

0.032059

hsa04625

C-type lectin receptor signaling pathway

5

3

− 0.74881

− 1.7165

0.010753

0.032259

hsa04380

Osteoclast differentiation

7

7

− 0.65041

− 1.6467

0.016129

0.04088

  1. KEGG, Kyoto encyclopedia of genes and genomes; CAD, coronary artery disease; FDR, false discovery rate