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Review
. 2022 Feb 15:2022:8600419.
doi: 10.1155/2022/8600419. eCollection 2022.

Prognostic Significance of SPARC Expression in Breast Cancer: A Meta-Analysis and Bioinformatics Analysis

Shuai Shi  1 , Hong-Yan Ma  1 , Xin-Ying Han  1 , Yin-Zhou Sang  1 , Ming-Yue Yang  1 , Zhi-Gang Zhang  1
Affiliations
Review

Prognostic Significance of SPARC Expression in Breast Cancer: A Meta-Analysis and Bioinformatics Analysis

Shuai Shi et al. Biomed Res Int. .

Abstract

Secreted protein, acidic and rich in cysteine (SPARC, also known as osteonectin), is a small molecule glycoprotein associated with cell secretions. The purpose of our research is to clarify the clinicopathological and prognostic significance of SPARC expression in breast cancer. In this study, we performed a meta-analysis and bioinformatics analysis using the PubMed, Web of Science, Wanfang Data, and CNKI databases. The meta-analysis showed that SPARC expression was elevated in breast cancer tissue, compared with normal tissue, while SPARC expression in tumor stromal cells was higher than that of tumor cells. The expression of SPARC was positively correlated with histological grade and TNM staging. The Kaplan-Meier plotter showed that low SPARC expression was negatively correlated with the overall, postprogression, and distant metastasis survival rates of patients. According to Oncomine database, SPARC expression was upregulated in breast cancer than normal tissues. In TCGA database, univariate analysis showed that lymph node metastasis, distant metastasis, and TNM staging were negatively correlated with patient prognosis in breast cancers. Cox multivariate analysis showed that age, lymph node metastasis, distant metastasis, and TNM staging were important factors affecting the survival time of breast cancer patients. SPARC expression can be employed as a good indicator of prognosis of breast cancer patients, which will provide new methods and ideas of preventive treatment.

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Conflict of interest statement

The authors declare that they have no competing interests.

Figures

Figure 1
Figure 1
Flow diagram of article selection.
Figure 2
Figure 2
Forest plot of the expression of SPARC in breast cancer. Plots of the association between cancer and normal mucosa.
Figure 3
Figure 3
Funnel plot for testing publication bias between SPARC expression and breast cancer. Publication bias was also tested between SPARC expression and clinicopathological features of breast cancer, including (a) histological grade, (b) TNM staging, (c) lymph node metastasis, (d) Menopausal status, (e) size, (f) ER, (g) PR, (h) HER2, and (i) survival. Additionally, publication bias was analyzed based on risk degrees of SPARC expression in (a) tumor cell and (b) stromal cell.
Figure 4
Figure 4
Prognostic value of SPARC mRNA expression in breast cancer patients according to KM-plotter (http://www.kmplot.com).
Figure 5
Figure 5
Prognostic value of SPARC mRNA expression in breast cancer patients according to Oncomine database (http://www.oncomine.org).
See this image and copyright information in PMC

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