Department of Immunotechnology, Lund University, Lund, Sweden.
Proteomics Clin Appl. 2010 Jul;4(6-7):591-602. doi: 10.1002/prca.200900173. Epub 2010 Apr 7.
Glioblastoma multiforme (GBM) is a frequent and aggressive type of primary brain tumor with a heterogeneous origin. GBM is highly therapy resistant and carries a dismal prognosis for the patient. The purpose of this discovery study was to define candidate plasma biomarker signatures for improved classification and novel means for selecting patients for refined individualized therapy.
Here, we have for the first time investigated the applicability of large-scale recombinant antibody-based microarrays, targeting mainly immunoregulatory analytes, for sensitive and selective plasma protein profiling of GBM patients undergoing immunotherapy with autologous IFN-γtransfected glioma cells.
This proof-of-concept study showed that candidate plasma protein signatures associated with GBM were outlined that could be used for GBM classification, monitoring the effects of the immunotherapy as well as for stratifying patients according to the beneficial effect of the adopted immunotherapy. Further, central key cytokines that could be utilized for optimization and/or refinement of the immunotherapeutic regime were indicated.
Candidate plasma proteins signatures associated with GBM was outlined, that could be used for GBM classification and for pre-operatively stratifying patients according to the beneficial effect of the adopted immunotherapy.
多形性胶质母细胞瘤(GBM)是一种常见且侵袭性强的原发性脑肿瘤,其起源具有异质性。GBM 对治疗具有高度抗性,患者预后不良。本研究旨在定义候选血浆生物标志物特征,以改善分类,并为患者选择更精细的个体化治疗提供新方法。
本研究首次调查了主要针对免疫调节分析物的大规模重组抗体微阵列在 GBM 患者接受自体 IFN-γ转染神经胶质瘤细胞免疫治疗时进行敏感和选择性血浆蛋白谱分析的适用性。
该概念验证研究表明,已经概述了与 GBM 相关的候选血浆蛋白特征,可用于 GBM 分类、监测免疫治疗效果以及根据所采用免疫治疗的有益效果对患者进行分层。此外,还指出了可用于优化和/或细化免疫治疗方案的核心关键细胞因子。
已经概述了与 GBM 相关的候选血浆蛋白特征,可用于 GBM 分类,并在术前根据所采用免疫治疗的有益效果对患者进行分层。