Open Access

Identification of key genes and pathways between type I and type II endometrial cancer using bioinformatics analysis

  • Authors:
    • Kai Zhang
    • Huiyang Li
    • Ye Yan
    • Yuqin Zang
    • Ke Li
    • Yingmei Wang
    • Fengxia Xue
  • View Affiliations

  • Published online on: June 28, 2019     https://doi.org/10.3892/ol.2019.10550
  • Pages: 2464-2476
  • Copyright: © Zhang et al. This is an open access article distributed under the terms of Creative Commons Attribution License.

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Abstract

Endometrial carcinoma (EC) is a common malignant neoplasm of the female reproductive tract. The malignant degree of type II EC is much greater than that of type I EC, usually presenting with a high recurrence rate and a poor prognosis. Therefore, the present study aimed to examine the principal genes associated with the degree of differentiation in type I and type II EC and reveal their potential mechanisms. Differentially expressed genes (DEGs) were selected from the gene expression profiles derived from The Cancer Genome Atlas. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were conducted. In the present study, the KEGG pathway enrichment analysis revealed that 5,962 upregulated DEGs were significantly enriched in the ‘p53 signaling pathway’ and involved in ‘lysine degradation’. In addition, 3,709 downregulated DEGs were enriched in ‘pathways in cancer’, as well as ‘tight junction regulation’, the ‘cell cycle’ and the ‘Wnt signaling pathway’. The 13 top hub genes MAPK1, PHLPP1, ESR1, MDM2, CDKN2A, CDKN1A, AURKA, BCL2L1, POLQ, PIK3R3, RHOQ, EIF4E and LATS2 were identified via the protein‑protein interaction network. Furthermore, the OncoPrint algorithm from cBioPortal declared that 25% of EC cases carried genetic alterations. The altered DEGs (MAPK1, MDM2, AURKA, EIF4E and LATS2) may be involved in tumor differentiation and may be valuable diagnostic biomarkers. In conclusion, a number of principal genes were identified in the present study that may be determinants of poorly differentiated type II EC carcinogenesis, which may contribute to future research into potential molecular mechanisms. In addition, these genes may help identify candidate biomarkers and novel therapeutic targets for type II EC.

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September 2019
Volume 18 Issue 3

Print ISSN: 1792-1074
Online ISSN:1792-1082

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APA
Zhang, K., Li, H., Yan, Y., Zang, Y., Li, K., Wang, Y., & Xue, F. (2019). Identification of key genes and pathways between type I and type II endometrial cancer using bioinformatics analysis. Oncology Letters, 18, 2464-2476. https://doi.org/10.3892/ol.2019.10550
MLA
Zhang, K., Li, H., Yan, Y., Zang, Y., Li, K., Wang, Y., Xue, F."Identification of key genes and pathways between type I and type II endometrial cancer using bioinformatics analysis". Oncology Letters 18.3 (2019): 2464-2476.
Chicago
Zhang, K., Li, H., Yan, Y., Zang, Y., Li, K., Wang, Y., Xue, F."Identification of key genes and pathways between type I and type II endometrial cancer using bioinformatics analysis". Oncology Letters 18, no. 3 (2019): 2464-2476. https://doi.org/10.3892/ol.2019.10550