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

Yang ZP, Ling DY, Xie YH, Wu WX, Li JR, Jiang J, Zheng JL, Fan YH, Zhang Y - Dis. Markers (2015)

Bottom Line: 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.

View Article: PubMed Central - PubMed

Affiliation: Oncology Department, The First Affiliated Hospital of Jiaxing University, Jiaxing 314001, China.

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.

No MeSH data available.


Related in: MedlinePlus

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).
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Related In: Results  -  Collection


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fig2: 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).

Mentions: Pearson correlation analysis was carried out to determine the relationship between the serum concentrations of proteins (Figure 2). VEGF concentration strongly correlated with both IL-33 (r = 0.5889; P < 0.0001) and sST2 (r = 0.5355; P < 0.0001) concentration. MMP-11 and PDGF-C concentrations were also significantly associated with IL-33 (MMP-11: r = 0.7155, P < 0.0001; PDGF-C: r = 0.5171, P < 0.0001) and sST2 (MMP-11: r = 0.6493, P < 0.0001; PDGF-C: r = 0.4903, P < 0.0001) concentration.


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

Yang ZP, Ling DY, Xie YH, Wu WX, Li JR, Jiang J, Zheng JL, Fan YH, Zhang Y - Dis. Markers (2015)

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).
© Copyright Policy - open-access
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC4592729&req=5

fig2: 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).
Mentions: Pearson correlation analysis was carried out to determine the relationship between the serum concentrations of proteins (Figure 2). VEGF concentration strongly correlated with both IL-33 (r = 0.5889; P < 0.0001) and sST2 (r = 0.5355; P < 0.0001) concentration. MMP-11 and PDGF-C concentrations were also significantly associated with IL-33 (MMP-11: r = 0.7155, P < 0.0001; PDGF-C: r = 0.5171, P < 0.0001) and sST2 (MMP-11: r = 0.6493, P < 0.0001; PDGF-C: r = 0.4903, P < 0.0001) concentration.

Bottom Line: 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.

View Article: PubMed Central - PubMed

Affiliation: Oncology Department, The First Affiliated Hospital of Jiaxing University, Jiaxing 314001, China.

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.

No MeSH data available.


Related in: MedlinePlus