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靶向CD30单克隆抗体 64Cu-NOTA-CD30的淋巴瘤免疫PET显像研究

ImmunoPET studies of 64Cu-labeled CD30 monoclonal antibody 64Cu-NOTA-CD30 in lymphoma models

摘要目的:制备靶向CD30单克隆抗体(简称单抗) 64Cu-1,4,7-三氮杂环壬烷-1,4,7-三乙酸(NOTA)-CD30,无创性可视化评价淋巴瘤CD30的表达。 方法:通过Western blot评价5种淋巴瘤细胞株(Karpas299、Raji、Daudi、Ramos和U266)中CD30的表达水平。选择高和低表达CD30的细胞株行流式细胞术评估抗CD30单抗特异性结合能力。取NSG小鼠13只构建CD30阳性和阴性皮下荷瘤鼠模型。标记获得 64Cu-NOTA-CD30,以 64Cu-NOTA-免疫球蛋白(Ig)G为对照探针。经尾静脉注射2种探针后2、24和48 h行microPET显像及生物分布分析。采用重复测量方差分析及Bonferroni法进行数据比较。 结果:Karpas299细胞呈CD30高表达,Raji细胞呈CD30低表达。流式细胞术示抗CD30单抗与Karpas299细胞特异性结合。 64Cu-NOTA-CD30与 64Cu-NOTA-IgG的放化纯均>95%。在microPET显像中,Karpas299肿瘤 64Cu-NOTA-CD30摄取随时间延长逐渐升高,2、24和48 h分别为(11.46±0.58)、(17.60±1.16)与(19.46±0.99)每克组织百分注射剂量率(%ID/g);48 h时与本底对比度良好,肿瘤与心(血液)比值为2.20±0.22。48 h时, 64Cu-NOTA-CD30在Karpas299肿瘤的摄取高于其在Raji肿瘤[(6.10±1.03) %ID/g]及 64Cu-NOTA-IgG在Karpas299肿瘤的摄取[(5.12±0.89) %ID/g],差异均有统计学意义( F=290.99, t值:19.65和22.25,均 P<0.001)。 64Cu-NOTA-CD30与 64Cu-NOTA-IgG在各组心、肝的摄取随时间延长逐渐降低。48 h体外生物分布结果与活体microPET显像基本一致。 结论:64Cu-NOTA-CD30能在活体水平无创性可视化评价淋巴瘤CD30的表达及分布情况,有望应用于靶向CD30免疫治疗的受益群体筛选及疗效评价。

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abstractsObjective:To develop the anti-CD30 monoclonal antibody 64Cu-1, 4, 7-trizacyclononane-1, 4, 7-triacetic acid (NOTA)-CD30 and visualize CD30 expression in lymphoma non-invasively. Methods:The CD30 expression levels of 5 cell lines (Karpas299, Raji, Daudi, Ramos, and U266) were assessed by Western blot. Cell lines with high and low CD30 expression were selected for flow cytometry to evaluate the specific binding affinity of anti-CD30 monoclonal antibody. Thirteen NSG mice were used to established CD30 positive and negative subcutaneous xenograft models. 64Cu-NOTA-CD30 was obtained and 64Cu-NOTA-immunoglobulin (Ig)G was used as the control. ImmunoPET imaging was performed 2, 24, and 48 h after the injection of 64Cu-NOTA-CD30 or 64Cu-NOTA-IgG. Finally, the biodistribution studies were conducted. Repeated-measures analysis of variance and Bonferroni test were conducted for comparison. Results:Karpas299 showed the highest CD30 expression, while Raji showed the lowest. Flow cytometry showed specific binding affinity of the anti-CD30 monoclonal antibody to the Karpas299 cell line. The radiochemical purities of the probes were both higher than 95%. In microPET, the 64Cu-NOTA-CD30 uptake of Karpas299 xenograft tumors increased over time, with (11.46±0.58), (17.60±1.16) and (19.46±0.99) percentage activity of injection dose per gram of tissue (%ID/g) at 2, 24 and 48 h respectively. The contrast to normal tissue was good at 48 h, with the tumor/heart (blood) ratio of 2.20±0.22. The uptake of 64Cu-NOTA-CD30 in Karpas299 tumor at 48 h after injection was significantly higher than that in Raji tumor ((6.10±1.03) %ID/g) and 64Cu-NOTA-IgG in Karpas299 tumor ((5.12±0.89) %ID/g; F=290.99, t values: 19.65 and 22.25, all P<0.001). The uptake of 64Cu-NOTA-CD30 and the control probe in the heart and liver decreased over time in all groups. Ex vivo biodistribution at 48 h was mainly consistent with the results of microPET in vivo. Conclusions:64Cu-NOTA-CD30 is able to visualize the expression level and distribution of CD30 non-invasively. It is promising to be applied for screening the beneficial groups and evaluating efficacy for CD30-targeted immunotherapy.

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