Multiplexed immunobead-based cytokine profiling for early detection of ovarian cancer
Multiplexed immunobead-based cytokine profiling for early detection of ovarian cancer
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DOI：
10.1158/1055-9965.epi-04-0404
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发表时间：
2005-04-01
影响因子：
3.8
通讯作者：
Lokshin, AE
中科院分区：
文献类型：
--
作者：
Gorelik, E;Landsittel, DP;Lokshin, AE
卵巢癌的早期发现可能会改善临床结果。一些研究表明细胞因子作为一组新的卵巢癌肿瘤标志物的作用。我们假设，由多种细胞因子组成的小组可能会提供更高的诊断能力，这些细胞因子单独可能不会显示出与疾病的强相关性。为了评估细胞因子面板的诊断效用，我们使用了一种新的多分析物LabMAP分析技术，允许同时测量多个标志物。24种细胞因子（细胞因子/趋化因子、生长因子和血管生成因子）与癌抗原-125（CA-125）联合检测了44例早期卵巢癌患者、45例健康女性和37例良性盆腔肿瘤患者的血清浓度。六个标记，即，白细胞介素（IL）-6、IL-8、表皮生长因子（EGF）、血管内皮生长因子（VEGF）、单核细胞趋化蛋白-1（MCP-1）和CA-125的血清浓度在卵巢癌组和对照组之间显示出显著差异。在该组中，IL-6、IL-8、VEGF、EGF和CA-125用于分类树分析，其导致84%的灵敏度和95%的特异性。使用标记物组合创建的受试者操作者特征曲线在80%至90%特异性的区域中产生90%至100%的灵敏度，而单独CA-125的受试者操作者特征曲线产生70%至80%的灵敏度。用CA-125、粒细胞集落刺激因子（G-CSF）、IL-6、EGF和VEGF进行分类树分析，其敏感性为86.5%，特异性为93.0%。所呈现的数据显示，使用LabMAP技术同时检测一组血清细胞因子和CA-125可能为卵巢癌检测提供一种有前途的方法。
Early detection of ovarian cancer might improve clinical outcome. Some studies have shown the role of cytokines as a new group of tumor markers for ovarian cancer. We hypothesized that a panel comprised of multiple cytokines, which individually may not show strong correlation with the disease, might provide higher diagnostic power. To evaluate the diagnostic utility of cytokine panel, we used a novel multianalyte LabMAP profiling technology that allows simultaneous measurement of multiple markers. Concentrations of 24 cytokines (cytokines/chemokines, growth, and angiogenic factors) in combination with cancer antigen-125 (CA-125), were measured in sera of 44 patients with early-stage ovarian cancer, 45 healthy women, and 37 patients with benign pelvic tumors. Six markers, i.e., interleukin (IL)-6, IL-8, epidermal growth factor (EGF) vascular endothelial growth factor (VEGF), monocyte chemoattractant protein-1 (MCP-1), and CA-125, showed significant differences in serum concentrations between ovarian cancer and control groups. Out of this group, IL-6, IL-8, VEGF, EGF, and CA-125, were used in a classification tree analysis that resulted in 84% sensitivity at 95% specificity. The receiver operator characteristic curve created using the combination of markers produced sensitivities between 90% and 100% in the area of 80% to 90% specificity, whereas the receiver operator characteristic curve for CA-125 alone resulted in sensitivities of 70% to 80%. The classification tree analysis for discrimination of benign condition from ovarian cancer used CA-125, granulocyte colony-stimulating factor (G-CSF), IL-6, EGF, and VEGF resulting in 86.5% sensitivity and 93.0% specificity. The presented data show that simultaneous testing of a panel of serum cytokines and CA-125 using LabMAP technology may present a promising approach for ovarian cancer detection.