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. 2018 Apr 25;19(4):969-975.
doi: 10.22034/APJCP.2018.19.4.969.

Identification of Key Candidate Genes and Pathways in Endometrial Cancer by Integrated Bioinformatical Analysis

Lihong Liu  1   2 , Fangxu Chen, Aihui Xiu, Bo Du, Hao Ai, Wei Xie
Affiliations

Identification of Key Candidate Genes and Pathways in Endometrial Cancer by Integrated Bioinformatical Analysis

Lihong Liu et al. Asian Pac J Cancer Prev. .

Abstract

Endometrial Cancer is the most common female genital tract malignancy, its pathogenesis is complex, not yet fully described. To identify key genes of Endometrial Cancer we downloaded the gene chip GSE17025 from the Gene Expression Omnibus database. Differentially expressed genes (DEGs) were identified through the GEO2R analysis tool. Functional and pathway enrichment analysis were performed for DEGs using DAVID database. The network of protein–protein-interaction (PPI) was established by STRING website and visualized by Cytoscape. Then, functional and pathway enrichment analysis of DEGS were performed by DAVID database. A total of 1000 significant differences genes were obtained, contain 362 up-regulated genes and 638 down-regulated genes. PCDH10, SLC6A2, OGN, SFRP4, TRH, ANGPTL, FOSB are down-regulated genes. The gene of IGH, CCL20, ELF5, LTF, ASPM expression level in tumor patients are up-regulated. Biological function of enrichment include metabolism of xenobiotics by cytochrome P450, MAPK signaling pathway, Serotonergic synapse, Protein digestion and absorption, IL-17 signaling pathway, Chemokine signaling pathway, HIF-1 signaling pathway, p53 signaling pathway. All in all, the current study to determine endometrial differentially expressed genes and biological function, comprehensive analysis of intrauterine membrane carcinoma pathogenesis mechanism, and might be used as molecular targets and diagnostic biomarkers for the treatment of endometrial cancer.

Keywords: Endometrial cancer; bioinformatical analysis; differentially expressed genes; functional enrichment.

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Figures

Figure 1
Figure 1
The Related Genes were Identified between Endometrial Cancer and Healthy Women. The blue points with P ≥ 0.05, or | log FC | <2. The red dots were meaningful with P <0.05 and | log FC |> 2.
Figure 2
Figure 2
DEGS Protein-Protein-Interation Network. The pink points represent up-regulated genes, the blue points shows down-regulated genes, and the green points represent the genes which have no differentially expressed but is closely related to the differentially expressed genes.
Figure 3
Figure 3
GO Biological Function Enrichment. Contain: Molecular Function Group(MF), Biological Process Group(BP), and Cellular Component Group(CC).
Figure 4
Figure 4
The DEGs Related Pathways were Analyzed by KEGG
See this image and copyright information in PMC

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