Brain Tumour Research Group, Stem Cell and Neurotherapies Laboratory, Division of Cell Matrix Biology & Regenerative Medicine, University of Manchester, Manchester, United Kingdom.
Manchester Centre for Clinical Neurosciences, Salford Royal Hospital, Manchester Academic Health Sciences Centre, Salford, United Kingdom.
PLoS One. 2018 Mar 2;13(3):e0193694. doi: 10.1371/journal.pone.0193694. eCollection 2018.
Glioblastoma (GBM) is the most common primary brain malignancy in adults, yet survival outcomes remain poor. First line treatment is well established, however disease invariably recurs and improving prognosis is challenging. With the aim of personalizing therapy at recurrence, we have established a high content screening (HCS) platform to analyze the sensitivity profile of seven patient-derived cancer stem cell lines to 83 FDA-approved chemotherapy drugs, with and without irradiation.
Seven cancer stem cell lines were derived from patients with GBM and, 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-sensitizing effects, yet some drug classes showed a marked difference in efficacy between monolayers and neurospheres. In vivo validation of six drugs suggested that cell death readout in a three-dimensional culture scenario is a more physiologically relevant screening model and could 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, namely mitoxantrone, bortezomib and actinomycin D, whilst demonstrating the potential of HCS to be used for personalized treatment based on the chemosensitivity profile of patient tumor cells.
胶质母细胞瘤(GBM)是成人中最常见的原发性脑恶性肿瘤,但生存结果仍然很差。一线治疗已经确立,然而疾病总是复发,改善预后具有挑战性。为了在复发时实现个体化治疗,我们建立了一个高内涵筛选(HCS)平台,以分析七种患者来源的癌症干细胞系对 83 种美国食品和药物管理局批准的化疗药物的敏感性,包括有无辐射。
七种癌症干细胞系源自 GBM 患者,与已建立的 U87-MG 细胞系一起,每个患者来源的细胞系在无血清条件下作为贴壁单层和三维神经球并行培养。在多种浓度下筛选化疗药物,并对细胞进行双重染色,以观察它们对细胞死亡和增殖的影响。使用高通量算法图像分析对敏感性进行分类。
在七种患者来源的细胞系中观察到细胞系特异性药物反应。很少有药物具有放射增敏作用,但某些药物类别在单层和神经球之间的疗效有明显差异。六种药物的体内验证表明,在三维培养情景中观察到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 细胞系的化疗敏感性。
该研究提出了一些非标准的化疗药物,可能对复发性 GBM 的治疗有用,即米托蒽醌、硼替佐米和放线菌素 D,同时证明了 HCS 具有根据患者肿瘤细胞的化疗敏感性进行个体化治疗的潜力。