Table 2 The top five significantly (p-value < 0.03) enriched GO terms and KEGG pathways with cGBs by genecodis 4.

From: Screening of common genomic biomarkers to explore common drugs for the treatment of pancreatic and kidney cancers with type-2 diabetes through bioinformatics analysis

Biological Process

GO ID

Description

Adj. p-value

Annotated cGBs

GO:0030330

DNA Damage Response

4.70E-05

MUC1, E2F7

GO:2,000,045

Regulation of G1/S Transition of Mitotic Cell Cycle

4.12E-04

RRM2, E2F7

GO:0090068

Positive Regulation of Cell Cycle Process

5.10E-04

MUC1, BIRC5, E2F7

GO:0042981

Regulation of Apoptotic Process

8.05E-04

TOP2A, ALB, BIRC5

GO:1,903,490

Positive Regulation of Mitotic Cytokinesis

0.001499

BIRC5

Molecular Function

GO ID

GO function

Adj. p-value

Associated cGBs

GO:0008301

DNA Binding, Bending

0.00509

TOP2A

GO:0030170

Pyridoxal Phosphate Binding

0.00598

ALB

GO:0008170

N-methyltransferase Activity

0.00807

MUC1

GO:0005080

Protein Kinase C Binding

0.01075

TOP2A

GO:0005507

Copper Ion Binding

0.01342

ALB

KEGG Pathways

KEGG ID

KEGG function

Adj. p-value

Associated cGBs

hsa00240

Pyrimidine metabolism

0.01668

RRM2, ALB, BIRC5

hsa00480

Glutathione metabolism

0.01698

RRM2, MUC1

hsa04115

p53 signaling pathway

0.02170

RRM2, TOP2A

hsa00983

Drug metabolism

0.03196

RRM2

hsa05200

Pathways in cancer

0.03808

BIRC5