Literature DB >> 19296509

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

Philip C De Witt Hamer1, Sieger Leenstra, Cornelis J F Van Noorden, Aeilko H Zwinderman.   

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.

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Year:  2009        PMID: 19296509     DOI: 10.1002/cyto.a.20716

Source DB:  PubMed          Journal:  Cytometry A        ISSN: 1552-4922            Impact factor:   4.355


  5 in total

1.  Improved Methods to Generate Spheroid Cultures from Tumor Cells, Tumor Cells & Fibroblasts or Tumor-Fragments: Microenvironment, Microvesicles and MiRNA.

Authors:  Zheng Lao; Catherine J Kelly; Xiang-Yang Yang; W Timothy Jenkins; Erik Toorens; Tapan Ganguly; Sydney M Evans; Cameron J Koch
Journal:  PLoS One       Date:  2015-07-24       Impact factor: 3.240

Review 2.  Spherical cancer models in tumor biology.

Authors:  Louis-Bastien Weiswald; Dominique Bellet; Virginie Dangles-Marie
Journal:  Neoplasia       Date:  2015-01       Impact factor: 5.715

Review 3.  Glioblastoma's Next Top Model: Novel Culture Systems for Brain Cancer Radiotherapy Research.

Authors:  Seamus Caragher; Anthony J Chalmers; Natividad Gomez-Roman
Journal:  Cancers (Basel)       Date:  2019-01-04       Impact factor: 6.639

Review 4.  A Need for More Molecular Profiling in Brain Metastases.

Authors:  Erica Shen; Amanda E D Van Swearingen; Meghan J Price; Ketan Bulsara; Roeland G W Verhaak; César Baëta; Brice D Painter; Zachary J Reitman; April K S Salama; Jeffrey M Clarke; Carey K Anders; Peter E Fecci; C Rory Goodwin; Kyle M Walsh
Journal:  Front Oncol       Date:  2022-01-25       Impact factor: 6.244

Review 5.  Recent Advances in Multicellular Tumor Spheroid Generation for Drug Screening.

Authors:  Kwang-Ho Lee; Tae-Hyung Kim
Journal:  Biosensors (Basel)       Date:  2021-11-11
  5 in total

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