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Table 1 Functional annotation clustering of 83 differentially expressed genes in gastric cancer. Analysis was performed with the highest classification stringency in DAVID (ECM: Extracellular Matrix, GOTERM: Gene Ontology Term, GOTERM BP: GO-biological process, GOTERM MF: GO-molecular function, and GOTERM CC: GO-cellular compartment, KEGG Pathway: Pathways listed in Kyoto Encyclopedia of Genes and Genomes)

From: Comprehensive bioinformatic analysis reveals a cancer-associated fibroblast gene signature as a poor prognostic factor and potential therapeutic target in gastric cancer

Annotation Cluster 1

Enrichment Score: 7.26

Count

Genes

P-Value

Benjamini

KEGG Pathway

ECM-receptor interaction

12

COL1A1, COL1A2, COL2A1, COL3A1, COL4A1, COL5A1, COL5A2, COL6A3, FN1, SPP1, THBS1, THBS2

2.2E-11

1.6E-9

KEGG Pathway

Focal adhesion

12

2.2.E-7

5.2E-6

KEGG Pathway

PI3K-Akt signaling pathway

12

3.4E-5

4.0E-4

Annotation Cluster 2

Enrichment Score: 6.68

Count

 

P-Value

Benjamini

GOTERM BP DIRECT

Negative regulation of growth

6

MT1E, MT1F, MT1G,

MT1H, MT1M, MT1X

2.4E-8

3.1E-6

GOTERM BP DIRECT

Cellular response to zinc ion

6

2.4E-8

3.1E-6

KEGG Pathway

Mineral absorption

6

1.6E-5

2.3E-4

Annotation Cluster 3

Enrichment Score: 1.25

Count

 

P-Value

Benjamini

GOTERM MF DIRECT

Oxygen binding

3

CYP2C18, CYP2C9, CYP3A5

2.0E-2

2.4E-1

GOTERM MF DIRECT

Oxidoreductase activity, acting on paired donors with incorporation or reduction of molecular oxygen

3

2.9E-2

2.9E-1

GOTERM MF DIRECT

Monooxygenase activity

3

2.9E-2

2.9E-1

GOTERM CC DIRECT

Organelle membrane

3

5.9E-2

3.2E-1

KEGG Pathway

Retinol metabolism

3

8.1E-2

4.8E-1

GOTERM MF DIRECT

Heme binding

3

1.3E-1

6.7E-1

GOTERM MF DIRECT

Iron ion binding

3

1.6E-1

7.8E-1