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联合 RNA 表达谱和 2D-PAGE 筛选鉴定硼替佐米或恩杂鲁胺处理套细胞淋巴瘤后受影响的综合相互作用网络。

Combined RNA-expression and 2D-PAGE-screening identifies comprehensive interaction networks affected after bortezomib or enzastaurin exposure of mantle cell lymphoma.

机构信息

Clinical Cooperative Group Leukemia, Campus Grosshadern Medical Clinic III and Helmholtz Center Munich, Marchioninistr. 25, 81377 Munich, Germany.

出版信息

Talanta. 2010 Feb 15;80(4):1539-44. doi: 10.1016/j.talanta.2009.06.023. Epub 2009 Jun 17.

DOI:10.1016/j.talanta.2009.06.023
PMID:20082812
Abstract

Despite recent advances in treatment, mantle cell lymphoma (MCL) still represents a disease with dismal prognosis due to its progressive clinical course, high rate of therapy refractory cases and frequent relapses. During recent years, the proteasome inhibitor bortezomib and enzastaurin, an inhibitor of protein kinase c have been explored in MCL. In relapsed disease enzastaurin achieved disease stabilization in a subset of patients. Bortezomib in relapsed and refractory MCL achieves response rates of 30-40%. To identify signal pathways and manifold interactions regulating cellular response to molecular targeted approaches several high throughput screening methods were applied. A combined network analysis of the identified target molecules based on both RNA array expression data and a survey of cellular protein levels resulted in a unified interaction network more comprehensive (bortezomib: 394 and enzastaurin: 174 molecules) than the networks of the individual screening techniques (329/44 and 117/36 molecules respectively). Interestingly, although none of the target molecules were matched in both RNA-expression and protein level analysis they were mapped nonetheless to common pathways. Additionally, the ranking of identified pathways allowed an improved characterization of the observed induction of cell apoptosis.

摘要

尽管在治疗方面取得了最近的进展,但套细胞淋巴瘤 (MCL) 仍然是一种预后不良的疾病,因为其临床病程呈进行性,治疗难治性病例率高,且经常复发。近年来,蛋白酶体抑制剂硼替佐米和蛋白激酶 C 的抑制剂恩扎司他滨已在 MCL 中进行了探索。在复发疾病中,恩扎司他滨使一部分患者的疾病稳定。硼替佐米在复发和难治性 MCL 中达到 30-40%的缓解率。为了确定调节细胞对分子靶向治疗反应的信号通路和多种相互作用,应用了几种高通量筛选方法。基于 RNA 阵列表达数据和细胞蛋白水平调查对鉴定出的靶分子进行联合网络分析,得出了一个比单个筛选技术的网络更全面的统一相互作用网络(硼替佐米:394 个分子,恩扎司他滨:174 个分子)。有趣的是,尽管在 RNA 表达和蛋白质水平分析中都没有匹配到任何靶分子,但它们仍然映射到共同的途径。此外,鉴定出的途径的排序允许对观察到的细胞凋亡诱导进行更好的特征描述。

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