Table 3 Enriched GO biological processes terms in hub genes of PPI network for six cancer type datasets.

From: A convolutional neural network model for survival prediction based on prognosis-related cascaded Wx feature selection

Cancer types

GO terms

Description

P value

FDR

Genes

LUAD

GO:0000281

Mitotic cytokinesis

4.70E–06

6.71E–04

ANLN, RACGAP1, KIF4A, KIF20A

GO:0007018

Microtubule-based movement

1.88E–05

0.001341272

RACGAP1, KIF4A, KIF14, KIF20A

GO:0051301

Cell division

6.46E–05

0.003080959

ASPM, CDK1, KIF14, NCAPG, SPC25

BLCA

GO:0050852

T cell receptor signaling pathway

1.00E–06

2.05E–04

ZAP70, LCK, CD3G, CD247, CD3D

GO:0045059

Positive thymic T cell selection

1.06E–05

0.001076609

ZAP70, CD3G, CD3D

GO:0007169

Transmembrane receptor protein tyrosine kinase signaling pathway

2.53E–05

0.001290254

EPHA4, ZAP70, SRC, LCK

HNSC

GO:0019221

Cytokine-mediated signaling pathway

3.76E–07

5.41E–05

CSF3, CXCL8, CCL20, IL1B, CXCL2

GO:0030593

Neutrophil chemotaxis

7.03E–07

5.41E–05

CXCL8, CCL20, IL1B, CXCL2

GO:0006955

Immune response

1.80E–06

9.26E–05

CSF3, CXCL8, CCL20, IL1B, CXCL2

LGG

GO:0000079

Regulation of cyclin-dependent protein serine/threonine kinase activity

1.06E–04

0.006378325

CCNB1, GADD45A, PKMYT1

GO:0051301

Cell division

1.45E–04

0.006378325

WEE1, CCNB1, PTTG1, NUF2

GO:0000086

G2/M transition of mitotic cell cycle

7.65E–04

0.022440237

WEE1, CCNB1, PKMYT1

LUSC

GO:0031639

Plasminogen activation

2.94E–06

1.73E–04

FGA, APOH, FGG

GO:0007160

Cell-matrix adhesion

2.94E–04

0.008039642

FGA, FGG, ITGAX

GO:0002576

Platelet degranulation

4.09E–04

0.008039642

FGA, APOH, FGG

SKCM

GO:0060337

Type I interferon signaling pathway

2.98E–12

3.10E–10

BST2, STAT1, IRF1, GBP2, PSMB8, IFIT3

GO:0051607

Defense response to virus

2.91E–05

0.001510741

BST2, STAT1, IRF1, IFIT3

GO:0060333

Interferon-gamma-mediated signaling pathway

2.03E–04

0.007032439

STAT1, IRF1, GBP2