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使用人细胞因子阵列鉴定肿瘤坏死因子-α(TNF-α)和基质金属蛋白酶-9(MMP-9)作为肾细胞癌患者中舒尼替尼活性的潜在基线预测血清标志物。

Identification of TNF-alpha and MMP-9 as potential baseline predictive serum markers of sunitinib activity in patients with renal cell carcinoma using a human cytokine array.

作者信息

Perez-Gracia J L, Prior C, Guillén-Grima F, Segura V, Gonzalez A, Panizo A, Melero I, Grande-Pulido E, Gurpide A, Gil-Bazo I, Calvo A

机构信息

Department of Medical Oncology, University Clinic of Navarra, University of Navarra, Pamplona, Spain.

出版信息

Br J Cancer. 2009 Dec 1;101(11):1876-83. doi: 10.1038/sj.bjc.6605409. Epub 2009 Nov 10.

DOI:10.1038/sj.bjc.6605409
PMID:19904265
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC2788252/
Abstract

BACKGROUND

Several drugs are available to treat metastatic renal-cell carcinoma (MRCC), and predictive markers to identify the most adequate treatment for each patient are needed. Our objective was to identify potential predictive markers of sunitinib activity in MRCC.

METHODS

We collected sequential serum samples from 31 patients treated with sunitinib. Sera of six patients with extreme phenotypes of either marked responses or clear progressions were analysed with a Human Cytokine Array which evaluates 174 cytokines before and after treatment. Variations in cytokine signal intensity were compared between both groups and the most relevant cytokines were assessed by ELISA in all the patients.

RESULTS

Twenty-seven of the 174 cytokines varied significantly between both groups. Five of them (TNF-alpha, MMP-9, ICAM-1, BDNF and SDF-1) were assessed by ELISA in 21 evaluable patients. TNF-alpha and MMP-9 baseline levels were significantly increased in non-responders and significantly associated with reduced overall survival and time-to-progression, respectively. The area under the ROC curves for TNF-alpha and MMP-9 as predictive markers of sunitinib activity were 0.83 and 0.77.

CONCLUSION

Baseline levels of TNF-alpha and MMP-9 warrant further study as predictive markers of sunitinib activity in MRCC. Selection of patients with extreme phenotypes seems a valid method to identify potential predictive factors of response.

摘要

背景

有多种药物可用于治疗转移性肾细胞癌(MRCC),因此需要预测标志物来为每位患者确定最适宜的治疗方法。我们的目的是确定MRCC中舒尼替尼活性的潜在预测标志物。

方法

我们收集了31例接受舒尼替尼治疗患者的系列血清样本。使用评估174种细胞因子的人细胞因子阵列分析了6例具有显著反应或明显进展的极端表型患者治疗前后的血清。比较两组之间细胞因子信号强度的变化,并通过酶联免疫吸附测定法(ELISA)对所有患者中最相关的细胞因子进行评估。

结果

174种细胞因子中的27种在两组之间有显著差异。通过ELISA在21例可评估患者中对其中5种(肿瘤坏死因子-α、基质金属蛋白酶-9、细胞间黏附分子-1、脑源性神经营养因子和基质细胞衍生因子-1)进行了评估。无反应者中肿瘤坏死因子-α和基质金属蛋白酶-9的基线水平显著升高,分别与总生存期缩短和疾病进展时间显著相关。肿瘤坏死因子-α和基质金属蛋白酶-9作为舒尼替尼活性预测标志物的ROC曲线下面积分别为0.83和0.77。

结论

肿瘤坏死因子-α和基质金属蛋白酶-9的基线水平作为MRCC中舒尼替尼活性的预测标志物值得进一步研究。选择具有极端表型的患者似乎是识别潜在反应预测因素的有效方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3227/2788252/222c1f31da05/6605409f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3227/2788252/1987545c6b87/6605409f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3227/2788252/c9499e08b128/6605409f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3227/2788252/e7b675cdb067/6605409f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3227/2788252/222c1f31da05/6605409f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3227/2788252/1987545c6b87/6605409f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3227/2788252/c9499e08b128/6605409f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3227/2788252/e7b675cdb067/6605409f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3227/2788252/222c1f31da05/6605409f4.jpg

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