Gene/Protein
Disease
Symptom
Drug
Enzyme
Compound
Pivot Concepts:
Gene/Protein
Disease
Symptom
Drug
Enzyme
Compound
Target Concepts:
Gene/Protein
Disease
Symptom
Drug
Enzyme
Compound
Query: UNIPROT:Q86TM3 (
cage
)
29,987
document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)
Cervical cancer is the second most commonly diagnosed type of cancer and the third leading cause of
cancer-associated
mortality in women. The current study aimed to determine the genes associated with cervical cancer development. Microarray data (GSE55940 and GSE46306) were downloaded from Gene Expression Omnibus. Overlapping genes between the differentially expressed genes (DEGs) in GSE55940 (identified by Limma package) and the differentially methylated genes were screened. Gene Ontology (GO) enrichment analysis was subsequently performed for these genes using the ToppGene database. In GSE55940, 91 downregulated and 151 upregulated DEGs were identified. In GSE46306, 561 overlapping differentially methylated genes were obtained through the differential methylation analysis at the CpG site level, CpG island level and gene level. A total of 5 overlapping genes [dipeptidyl peptidase 4 (
DPP4
); endothelin 3 (
EDN3
); fibroblast growth factor 14 (
FGF14
); tachykinin, precursor 1 (
TAC1
); and
wingless-type MMTV integration site family, member 16
(
WNT16
)] between the 561 overlapping differentially methylated genes and the 242 DEGs were identified, which were downregulated and hypermethylated simultaneously in cervical cancer samples. Enriched GO terms were receptor binding (involving
DPP4, EDN3, FGF14, TAC1
and
WNT16
), ameboidal-type cell migration (
DPP4, EDN3
and
TAC1
), mitogen-activated protein kinase cascade (
FGF14, EDN3
and
WNT16
) and cell proliferation (
EDN3, WNT16, DPP4
and
TAC1
). These results indicate that DPP4, EDN3, FGF14, TAC1 and WNT16 may be involved in the pathogenesis of cervical cancer.
...
PMID:Identification of key genes associated with cervical cancer by comprehensive analysis of transcriptome microarray and methylation microarray. 2734 67