Open Access

Identification of a five‑gene signature for predicting the progression and prognosis of stage I endometrial carcinoma

  • Authors:
    • Jia Bian
    • Yuzi Xu
    • Fei Wu
    • Qiangwei Pan
    • Yunlong Liu
  • View Affiliations

  • Published online on: July 1, 2020     https://doi.org/10.3892/ol.2020.11798
  • Pages: 2396-2410
  • Copyright: © Bian et al. This is an open access article distributed under the terms of Creative Commons Attribution License.

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Abstract

Uterine corpus endometrial carcinoma (UCEC) is often diagnosed at an early clinical stage based on abnormal vaginal bleeding. However, the prognosis of UCEC is poor. The present study was conducted to identify novel tumor grade‑related genes with the potential to predict the prognosis and progression of UCEC. A total of three gene expression microarray datasets were downloaded from the Gene Expression Omnibus database, and one RNA‑sequencing dataset with corresponding clinical information of patients with UCEC was obtained from The Cancer Genome Atlas database. In summary, 1,447 differentially expressed genes (DEGs) were identified between endometrial cancerous tissues and normal endometrial tissues. Weighted gene co‑expression network analysis was performed to assess the associations between DEGs and clinical traits. In total, five genes were found to be highly associated with the tumorigenesis and prognosis of UCEC. Among them, BUB1 mitotic checkpoint serine/threonine kinase B, cyclin B1, cell‑division cycle protein 20 and non‑SMC condensing I complex subunit G were involved in cell cycle regulation pathways, and DLG‑associated protein 5 was involved in the Notch receptor 3 signaling pathway based on functional enrichment analyses. Of the five genes, four were highly expressed in endometrial cancerous tissues compared with normal endometrial tissues at the protein level. In addition, the higher expression of these genes predicted a higher tumor grade and worse overall survival. In conclusion, the present study revealed a 5‑gene signature that can be used to predict the progression of UCEC.

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September-2020
Volume 20 Issue 3

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

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Copy and paste a formatted citation
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Spandidos Publications style
Bian J, Xu Y, Wu F, Pan Q and Liu Y: Identification of a five‑gene signature for predicting the progression and prognosis of stage I endometrial carcinoma. Oncol Lett 20: 2396-2410, 2020
APA
Bian, J., Xu, Y., Wu, F., Pan, Q., & Liu, Y. (2020). Identification of a five‑gene signature for predicting the progression and prognosis of stage I endometrial carcinoma. Oncology Letters, 20, 2396-2410. https://doi.org/10.3892/ol.2020.11798
MLA
Bian, J., Xu, Y., Wu, F., Pan, Q., Liu, Y."Identification of a five‑gene signature for predicting the progression and prognosis of stage I endometrial carcinoma". Oncology Letters 20.3 (2020): 2396-2410.
Chicago
Bian, J., Xu, Y., Wu, F., Pan, Q., Liu, Y."Identification of a five‑gene signature for predicting the progression and prognosis of stage I endometrial carcinoma". Oncology Letters 20, no. 3 (2020): 2396-2410. https://doi.org/10.3892/ol.2020.11798