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用于实验性治疗筛选的器官型胶质瘤球体:需要多少个球体和切片?

Organotypic glioma spheroids for screening of experimental therapies: how many spheroids and sections are required?

作者信息

De Witt Hamer Philip C, Leenstra Sieger, Van Noorden Cornelis J F, Zwinderman Aeilko H

机构信息

Department of Neurosurgery, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands.

出版信息

Cytometry A. 2009 Jun;75(6):528-34. doi: 10.1002/cyto.a.20716.

Abstract

Cancer spheroids are a valuable model for screening anticancer strategies. However, studies are published using various numbers of spheroids and sections per spheroid. Here, we establish the sample size requirements for valid screening strategies to treat glioma: how many spheroids per experimental group and how many sections per spheroid are required to detect one-third reduction in an endpoint measurement after treatment? From two glioblastoma patients, 32 untreated organotypic spheroids were cultured and sectioned entirely (14-100 sections per spheroid). The viable fraction was determined as endpoint by automated image analysis in sections and used to establish the minimally-detectable difference between a treatment and reference group. Variance was considerable with a coefficient of variance of 21%. The biological variation in viability in sections of spheroids produced 97% of variance when sample size was large. Variance increased when numbers of spheroids but not numbers of sections per spheroid were reduced. A minimum of 12 spheroids per group and one section per spheroid was required for a valid comparison of a treatment group and a control group. When 10 treatment groups and one control group were compared, 16 spheroids per group were required. Thus, the statistical power depended almost entirely on the number of organotypic glioma spheroids and hardly on the number of sections per spheroid. The organotypic glioma spheroid model does not appear to be suitable for high-throughput screening of anticancer strategies, because of the relatively large number of spheroids required. It is the model of choice for low-throughput screening, because this model is far more representative for the parental tumor than any other more efficient glioma model.

摘要

癌症球体是筛选抗癌策略的一种有价值的模型。然而,已发表的研究使用了不同数量的球体以及每个球体的切片数量。在此,我们确定了用于治疗胶质瘤的有效筛选策略的样本量要求:每个实验组需要多少个球体,以及每个球体需要多少个切片才能在治疗后检测到终点测量值降低三分之一?从两名胶质母细胞瘤患者中培养出32个未经处理的器官型球体并进行完整切片(每个球体14 - 100个切片)。通过对切片进行自动图像分析将存活分数确定为终点,并用于确定治疗组和参考组之间的最小可检测差异。方差相当大,变异系数为21%。当样本量较大时,球体切片中活力的生物学变异产生了97%的方差。当减少球体数量而非每个球体的切片数量时,方差会增加。为了对治疗组和对照组进行有效比较,每组至少需要12个球体且每个球体1个切片。当比较10个治疗组和1个对照组时,每组需要16个球体。因此,统计效能几乎完全取决于器官型胶质瘤球体的数量,而几乎不取决于每个球体的切片数量。由于所需球体数量相对较多,器官型胶质瘤球体模型似乎不适合用于抗癌策略的高通量筛选。它是低通量筛选的首选模型,因为该模型比任何其他更高效的胶质瘤模型更能代表原发肿瘤。

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