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. 2015:2015:516895.
doi: 10.1155/2015/516895. Epub 2015 Sep 20.

The Association of Serum IL-33 and sST2 with Breast Cancer

Zhi-Ping Yang  1 , Dan-Yan Ling  1 , Yong-Hong Xie  1 , Wan-Xin Wu  1 , Jin-Rui Li  1 , Jin Jiang  1 , Jia-Lian Zheng  1 , Yao-Hua Fan  1 , Ye Zhang  1
Affiliations

The Association of Serum IL-33 and sST2 with Breast Cancer

Zhi-Ping Yang et al. Dis Markers. 2015.

Abstract

Breast cancer is one of the most common malignant diseases in women. The main cause of death from breast cancer is its metastases at distant sites in the body. Interleukin-33 (IL-33) is a cytokine of the IL-1 family and found overexpressed in various cancers. The aim of the present study was to explore the association of serum IL-33 and sST2 with breast cancer. Here, the serum levels of Interleukin-33 (IL-33) and sST2 were found significantly higher in breast cancer patients than in healthy volunteers. Serum levels of vascular endothelial growth factor (VEGF), metalloproteinase-11 (MMP-11), and platelet-derived growth factor-C (PDGF-C) were also greater in breast cancer patients compared to healthy volunteers. We found that serum levels of IL-33 or sST2 were positively correlated with the serum levels of VEGF, MMP-11, and PDGF-C. Moreover, breast cancer dataset downloaded from The Cancer Genome Atlas showed that patients with higher level of MMP-11 or PDGF-C expression had shorter survival time than those with lower level of these proteins. In conclusion, IL-33 and sST2 may serve as noninvasive diagnosis markers for breast cancer. IL-33 and sST2 were significantly associated with MMP-11 or PDGF-C which indicated poor prognosis of breast cancer patients.

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Figures

Figure 1
Figure 1
Analysis of the serum concentration of IL-33, sST2, VEGF, MMP-11, and PDGF-C in patients with breast cancer. The protein concentrations in the sera from healthy volunteers and patients were evaluated by ELISA. ELISA data are expressed as average protein concentration. The protein levels of these proteins were higher in the sera of patients with breast cancer than that in normal sera.
Figure 2
Figure 2
Correlation analysis of serum concentrations. The serum levels of two proteins were subjected to Pearson correlation analysis, which suggested a positive correlation between the two indicated proteins (P < 0.0001).
Figure 3
Figure 3
The survival time of high MMP-11 or PDGF-C expression level patients was notably shorter than that of low expression patients. Breast cancer dataset was downloaded from The Cancer Genome Atlas (TCGA).
See this image and copyright information in PMC

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