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Identification of key candidate genes and pathways in endometrial cancer: Evidence from bioinformatics analysis

  • Authors:
    • Sha Lv
    • Xiaoxiao Xu
    • Zhangying Wu
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    Affiliations: Department of Gynecology and Obstetrics, The Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou 550001, P.R. China
    Copyright: © Lv et al. This is an open access article distributed under the terms of Creative Commons Attribution License.
  • Pages: 6679-6689
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    Published online on: November 1, 2019
       https://doi.org/10.3892/ol.2019.11040
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Abstract

Endometrial cancer (EC) is the fourth most common cancer in women worldwide. Although researchers are exploring the biological processes of tumorigenesis and development of EC, the gene interactions and biological pathways of EC are not accurately verified. In the present study, bioinformatics methods were used to screen for key candidate genes and pathways that were associated with EC and to reveal the possible mechanisms at molecular level. Microarray datasets (GSE63678, GSE17025 and GSE3013) from the Gene Expression Omnibus database were downloaded and 118 differentially expressed genes (DEGs) were selected using a Venn diagram. Functional enrichment analyses were performed on the DEGs. A protein‑protein interaction network was constructed, including the module analysis. A total of 11 hub genes were identified from the DEGs, and functional enrichment analyses were performed to clarify their possible biological processes. A total of 118 DEGs were selected from three mRNA datasets. Functional enrichment demonstrated 27 downregulated genes that were primarily involved in the positive regulation of transcription from RNA polymerase II promoter, protein binding and the nucleus. A total of 91 upregulated DEGs were mainly associated with cell division, protein binding and the nucleus. Pathway analysis indicated that the downregulated DEGs were mainly enriched in pathways associated with cancer, and the upregulated DEGs were mainly enriched in the cell cycle. The 11 hub genes were primarily enriched in the cell cycle, oocyte meiosis, progesterone‑mediated oocyte maturation, the p53 signaling pathway and viral carcinogenesis. The integrated analysis showed that cyclin B1, ubiquitin conjugating enzyme E2 C and cell division cycle 20 may participate in the tumorigenesis, development and invasion of EC. In conclusion, the hub genes and pathways identified in the present study contributed to the understanding of carcinogenesis and progression of EC at the mechanistic and molecular‑biological level. As candidate targets for the diagnosis and treatment of EC, these genes deserve further investigation.
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Copy and paste a formatted citation
Spandidos Publications style
Lv S, Xu X and Wu Z: Identification of key candidate genes and pathways in endometrial cancer: Evidence from bioinformatics analysis. Oncol Lett 18: 6679-6689, 2019.
APA
Lv, S., Xu, X., & Wu, Z. (2019). Identification of key candidate genes and pathways in endometrial cancer: Evidence from bioinformatics analysis. Oncology Letters, 18, 6679-6689. https://doi.org/10.3892/ol.2019.11040
MLA
Lv, S., Xu, X., Wu, Z."Identification of key candidate genes and pathways in endometrial cancer: Evidence from bioinformatics analysis". Oncology Letters 18.6 (2019): 6679-6689.
Chicago
Lv, S., Xu, X., Wu, Z."Identification of key candidate genes and pathways in endometrial cancer: Evidence from bioinformatics analysis". Oncology Letters 18, no. 6 (2019): 6679-6689. https://doi.org/10.3892/ol.2019.11040
Copy and paste a formatted citation
x
Spandidos Publications style
Lv S, Xu X and Wu Z: Identification of key candidate genes and pathways in endometrial cancer: Evidence from bioinformatics analysis. Oncol Lett 18: 6679-6689, 2019.
APA
Lv, S., Xu, X., & Wu, Z. (2019). Identification of key candidate genes and pathways in endometrial cancer: Evidence from bioinformatics analysis. Oncology Letters, 18, 6679-6689. https://doi.org/10.3892/ol.2019.11040
MLA
Lv, S., Xu, X., Wu, Z."Identification of key candidate genes and pathways in endometrial cancer: Evidence from bioinformatics analysis". Oncology Letters 18.6 (2019): 6679-6689.
Chicago
Lv, S., Xu, X., Wu, Z."Identification of key candidate genes and pathways in endometrial cancer: Evidence from bioinformatics analysis". Oncology Letters 18, no. 6 (2019): 6679-6689. https://doi.org/10.3892/ol.2019.11040
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