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High content screening of patient-derived cell lines highlights the potential of non-standard chemotherapeutic agents for the treatment of recurrent glioblastoma

机译:对患者源性细胞系的高含量筛选突出了非标准化疗药物在治疗复发性胶质母细胞瘤中的潜力

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摘要

Glioblastoma Multiforme (GBM) is the most common primary brain tumour in adults, yet survival outcomes remain poor. First line treatment is well established but with disease recurrence almost inevitable, improving prognosis is challenging. With the aim of personalising therapy at recurrence we have established a high content screening (HCS) platform to analyse the sensitivity profile of seven patient-derived cancer stem cell lines to 82 FDA-approved chemotherapy drugs, with and without irradiation. Seven cancer stem cell lines were derived from patients with GBM, or GBM variants. Along with the established cell line U87-MG, each patient-derived line was cultured in tandem in serum-free conditions as adherent monolayers and three-dimensional neurospheres. Chemotherapeutics were screened at multiple concentrations and cells double-stained to observe their effect on both cell death and proliferation. Sensitivity was classified using high-throughput algorithmic image analysis. Cell line specific drug responses were observed across the seven patient-derived cell lines. Few agents were seen to have radio-sensitising effects, yet some drug classes showed a marked difference in efficacy between monolayers and neurospheres. In vivo validation of six drugs indicated that cell death readout in a three-dimensional culture scenario is a more physiologically relevant screening model, and can be used effectively to assess the chemosensitivity of patient-derived GBM lines. The study puts forward a number of non-standard chemotherapeutics that could be useful in the treatment of recurrent GBM, whilst demonstrating the potential of HCS to be used for personalised treatment based on the chemosensitivity profile of patient tumour cells.
机译:多形性胶质母细胞瘤(GBM)是成人中最常见的原发性脑肿瘤,但生存结果仍然很差。一线治疗已经很成熟,但是疾病的复发几乎不可避免,改善预后具有挑战性。为了针对复发进行个性化治疗,我们建立了一个高内涵筛选(HCS)平台,以分析7种患者来源的癌症干细胞系对82种FDA批准的有或无辐射化疗药物的敏感性。七种癌症干细胞系源自具有GBM或GBM变异的患者。与建立的细胞系U87-MG一起,在无血清条件下串联培养每个患者来源的细胞系,形成粘附的单层细胞和三维神经球。筛选了多种浓度的化学治疗药物,并对细胞进行了双染色,以观察其对细胞死亡和增殖的影响。使用高通量算法图像分析对灵敏度进行分类。在七个患者来源的细胞系中观察到细胞系特异性药物反应。几乎没有药物具有放射增敏作用,但是某些药物类别在单层和神经球之间显示出明显的功效差异。六种药物的体内验证表明,在三维培养场景中的细胞死亡读数是一种更具生理相关性的筛选模型,可以有效地用于评估患者来源的GBM株的化学敏感性。这项研究提出了许多可用于治疗复发性GBM的非标准化学疗法,同时证明了基于患者肿瘤细胞化学敏感性特征,HCS可以用于个性化治疗的潜力。

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