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    Robotic mammosphere assay for high-throughput screening in triple-negative breast cancer.

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    Authors
    Fitzpatrick, P
    Akrap, N
    Söderberg, E
    Harrison, H
    Thomson, Graeme J
    Landberg, G
    Affiliation
    Sahlgrenska Cancer Center, Goteborgs Universitet, Goteborg, Sweden
    Issue Date
    2017-02-01
    
    Metadata
    Show full item record
    Abstract
    In order to identify novel treatment principles specifically affecting cancer stem cells in triple-negative breast cancer, we have developed a high-throughput screening method based on the mammosphere and anoikis resistance assays allowing us to screen compounds using a functional readout. The assay was validated against manual protocols and through the use of positive controls, such as the response to hypoxia and treatment with the known cancer stem cell-targeting compound salinomycin. Manual and robotic procedures were compared and produced similar results in cell handling, cell cultures, and counting techniques, with no statistically significant difference produced from either method. The variance between samples processed manually versus robotically was no greater than 0.012, while Levene's test of significance was 0.2, indicating no significant difference between mammosphere data produced manually or robotically. Through the screening of 989 FDA-approved drugs and a follow-up screen assessing the antineoplastic subgroup, we have identified three therapeutic compounds with the ability to modulate the breast cancer stem cell fraction in the triple-negative breast cancer cell line MDA-MB-231, highlighting their potential usage as stem cell-specific adjuvant treatments.
    Citation
    Robotic mammosphere assay for high-throughput screening in triple-negative breast cancer. 2017, SLAS Discov
    Journal
    SLAS Discovery
    URI
    http://hdl.handle.net/10541/620247
    DOI
    10.1177/2472555217692321
    PubMed ID
    28346100
    Type
    Article
    Language
    en
    ISSN
    2472-5560
    ae974a485f413a2113503eed53cd6c53
    10.1177/2472555217692321
    Scopus Count
    Collections
    All Paterson Institute for Cancer Research

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