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细胞因子作为乳腺癌的预后工具。

Cytokines as prognstic tool in breast carcinoma.

机构信息

Department of Nuclear Medicine, Shanghai tenth People's Hospital, Tongji University School of Medicine, Shanghai 200072, China.

出版信息

Front Biosci (Landmark Ed). 2011 Jun 1;16(7):2515-26. doi: 10.2741/3869.

DOI:10.2741/3869
PMID:21622192
Abstract

Serum cytokines are promising biomarkers of cancer staging and outcome prediction, including response to treatment. Serum samples were collected from 200 breast carcinoma patients prior to chemotherapy treatment. Luminex liquid protein chip technology was used to analyze 25 cytokines in serum. Linear regression was used to analyze the relationship of cytokine levels and tumor size. The independent sample T-test and Chi-square test methods were used to analyze the difference of cytokine levels between two groups. IL-12p40, sIL-2R, MMP-2 levels showed linear correlation with tumor size. Eotaxin, IL-10, IL-12p70, IL-7, IL-1ra, IP-10, MCP-1beta, MP-2 and MIP-1beta levels showed significant difference between different lymph node groups, but only Eotaxin, IP-10 and MCP-1 levels had an inverse correlation with the number of positive nodes. Fractalkine, G-CSF, MIP-1alpha, MIP-1beta levels showed significant differences between different ER+ groups. Eotaxin, Fractalkine, IL-6, IL-7, IL-10, MCP-1 and VEGF levels had significant differences between different HER-2 groups. Our study resulted in the identification of a serum cytokine profile with the potential to be clinically applicable to predict disease outcome and in monitoring of efficacy of treatment.

摘要

血清细胞因子是癌症分期和预后预测的有前途的生物标志物,包括对治疗的反应。在化疗治疗前,从 200 名乳腺癌患者中采集了血清样本。采用 Luminex 液体蛋白芯片技术分析血清中的 25 种细胞因子。线性回归用于分析细胞因子水平与肿瘤大小的关系。独立样本 T 检验和卡方检验用于分析两组细胞因子水平的差异。IL-12p40、sIL-2R、MMP-2 水平与肿瘤大小呈线性相关。Eotaxin、IL-10、IL-12p70、IL-7、IL-1ra、IP-10、MCP-1beta、MP-2 和 MIP-1beta 水平在不同淋巴结组之间存在显著差异,但只有 Eotaxin、IP-10 和 MCP-1 水平与阳性淋巴结数量呈负相关。Fractalkine、G-CSF、MIP-1alpha、MIP-1beta 水平在不同 ER+组之间存在显著差异。Eotaxin、Fractalkine、IL-6、IL-7、IL-10、MCP-1 和 VEGF 水平在不同 HER-2 组之间存在显著差异。我们的研究确定了一种具有潜在临床应用价值的血清细胞因子谱,可用于预测疾病结局和监测治疗效果。

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