Open Access

Mining the prognostic significance of the GINS2 gene in human breast cancer using bioinformatics analysis

  • Authors:
    • Shibo Yu
    • Lizhe Zhu
    • Peiling Xie
    • Siyuan Jiang
    • Ke Wang
    • Yang Liu
    • Jianjun He
    • Yu Ren
  • View Affiliations

  • Published online on: May 20, 2020     https://doi.org/10.3892/ol.2020.11651
  • Pages: 1300-1310
  • Copyright: © Yu et al. This is an open access article distributed under the terms of Creative Commons Attribution License.

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Abstract

A number of studies have demonstrated the crucial functions of GINS2 within the GINS complex in various types of cancer. However, the molecular mechanisms and prognostic value of GINS2 in breast cancer remain unknown. The present study used; BC‑GenExMiner, COSMIC, UCSC Xena, The Human Protein Atlas, GEPIA, cBioPortal, GeneMANIA, TIMER and Oncomine, in order to investigate gene expression, co‑expression, clinical parameters and mutations in GINS2 in patients with breast cancer. Furthermore, the present study assessed the prognostic value of GINS2 in patients with breast cancer via the Kaplan‑Meier plotter database. The results of the present study demonstrated that the mRNA levels of GINS2 were significantly higher in breast cancer tissue compared with normal tissue. In addition, high mRNA expression levels of GINS2 were associated with high Scarff‑Bloom‑Richardson status grades, a basal‑like status and age (≤51 years); however, it was not associated with lymph node metastasis. The survival analysis revealed that increased GINS2 mRNA levels were associated with a worse prognosis for relapse‑free survival in all patients with breast cancer, particularly in those with estrogen receptor‑positive and progesterone receptor‑positive subtypes. In addition, a positive association between the GINS2, CENPM and MCM4 genes was confirmed. The results of the present study suggest that GINS2 could be used as a potential prognostic biomarker for breast cancer. Nevertheless, further studies are necessary to confirm the effects of GINS2 on the pathogenesis and development of patients with breast cancer.

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August-2020
Volume 20 Issue 2

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

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APA
Yu, S., Zhu, L., Xie, P., Jiang, S., Wang, K., Liu, Y. ... Ren, Y. (2020). Mining the prognostic significance of the GINS2 gene in human breast cancer using bioinformatics analysis. Oncology Letters, 20, 1300-1310. https://doi.org/10.3892/ol.2020.11651
MLA
Yu, S., Zhu, L., Xie, P., Jiang, S., Wang, K., Liu, Y., He, J., Ren, Y."Mining the prognostic significance of the GINS2 gene in human breast cancer using bioinformatics analysis". Oncology Letters 20.2 (2020): 1300-1310.
Chicago
Yu, S., Zhu, L., Xie, P., Jiang, S., Wang, K., Liu, Y., He, J., Ren, Y."Mining the prognostic significance of the GINS2 gene in human breast cancer using bioinformatics analysis". Oncology Letters 20, no. 2 (2020): 1300-1310. https://doi.org/10.3892/ol.2020.11651