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A meta‑ and bioinformatics analysis of maspin expression levels influencing the prognosis of patients with breast cancer

  • Authors:
    • Shuai Shi
    • Zhi-Gang Zhang
    • Yin-Zhou Sang
    • Jie Sun
    • Hong-Yan Ma
  • View Affiliations / Copyright

    Affiliations: Department of Pathology, Cangzhou People's Hospital, Cangzhou, Hebei 061000, P.R. China
    Copyright: © Shi et al. This is an open access article distributed under the terms of Creative Commons Attribution License.
  • Article Number: 173
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    Published online on: February 23, 2024
       https://doi.org/10.3892/ol.2024.14306
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Abstract

Maspin is a serine protease inhibitor that is encoded by the human SERPINB5 gene. As a tumor inhibitor, it can inhibit the growth of tumor cells, increase adhesion between tumor cells and inhibit tumor angiogenesis. In the present study, a meta‑ and bioinformatics analysis was performed through the PubMed and China National Knowledge Infrastructure databases including entries added until up to March 20, 2023. It was found that compared with normal breast tissue, maspin expression was downregulated in breast cancer tissue. Maspin expression was negatively associated with lymph node metastasis. According to Kaplan‑Meier plotter, it was found that lower maspin expression was negatively associated with the overall and distant metastasis‑free survival rate of patients with estrogen receptor‑positive, luminal A and grade 2 breast cancer. High expression of maspin was also positively associated with the relapse‑free survival rate of patients of the luminal A subtype. Low maspin expression was positively associated with the post‑progression and distant metastasis‑free survival rate of the progesterone receptor‑negative subtype. According to the GEPIA database, SERPINB5 mRNA expression was higher in normal than breast cancer tissues and negatively correlated with the TNM stage. High expression of maspin was also positively associated with the overall survival rate. In the UALCAN database, it was found that the mRNA and promoter methylation levels of SERPINB5 were higher in normal than in breast cancer tissues. These findings suggest that the expression of maspin may serve as a potential marker to indicate the occurrence, subsequent progression and even prognosis of breast cancer.
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Copy and paste a formatted citation
Spandidos Publications style
Shi S, Zhang Z, Sang Y, Sun J and Ma H: A meta‑ and bioinformatics analysis of maspin expression levels influencing the prognosis of patients with breast cancer. Oncol Lett 27: 173, 2024.
APA
Shi, S., Zhang, Z., Sang, Y., Sun, J., & Ma, H. (2024). A meta‑ and bioinformatics analysis of maspin expression levels influencing the prognosis of patients with breast cancer. Oncology Letters, 27, 173. https://doi.org/10.3892/ol.2024.14306
MLA
Shi, S., Zhang, Z., Sang, Y., Sun, J., Ma, H."A meta‑ and bioinformatics analysis of maspin expression levels influencing the prognosis of patients with breast cancer". Oncology Letters 27.4 (2024): 173.
Chicago
Shi, S., Zhang, Z., Sang, Y., Sun, J., Ma, H."A meta‑ and bioinformatics analysis of maspin expression levels influencing the prognosis of patients with breast cancer". Oncology Letters 27, no. 4 (2024): 173. https://doi.org/10.3892/ol.2024.14306
Copy and paste a formatted citation
x
Spandidos Publications style
Shi S, Zhang Z, Sang Y, Sun J and Ma H: A meta‑ and bioinformatics analysis of maspin expression levels influencing the prognosis of patients with breast cancer. Oncol Lett 27: 173, 2024.
APA
Shi, S., Zhang, Z., Sang, Y., Sun, J., & Ma, H. (2024). A meta‑ and bioinformatics analysis of maspin expression levels influencing the prognosis of patients with breast cancer. Oncology Letters, 27, 173. https://doi.org/10.3892/ol.2024.14306
MLA
Shi, S., Zhang, Z., Sang, Y., Sun, J., Ma, H."A meta‑ and bioinformatics analysis of maspin expression levels influencing the prognosis of patients with breast cancer". Oncology Letters 27.4 (2024): 173.
Chicago
Shi, S., Zhang, Z., Sang, Y., Sun, J., Ma, H."A meta‑ and bioinformatics analysis of maspin expression levels influencing the prognosis of patients with breast cancer". Oncology Letters 27, no. 4 (2024): 173. https://doi.org/10.3892/ol.2024.14306
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