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Robotic Mammosphere Assay for High-Throughput Screening in Triple-Negative Breast Cancer.
- Source :
-
SLAS discovery : advancing life sciences R & D [SLAS Discov] 2017 Aug; Vol. 22 (7), pp. 827-836. Date of Electronic Publication: 2017 Feb 21. - Publication Year :
- 2017
-
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.
- Subjects :
- Antineoplastic Agents pharmacology
Apoptosis drug effects
Cell Line, Tumor
Female
High-Throughput Screening Assays methods
Humans
Neoplastic Stem Cells pathology
Pyrans pharmacology
Robotic Surgical Procedures methods
Triple Negative Breast Neoplasms drug therapy
Triple Negative Breast Neoplasms pathology
Subjects
Details
- Language :
- English
- ISSN :
- 2472-5560
- Volume :
- 22
- Issue :
- 7
- Database :
- MEDLINE
- Journal :
- SLAS discovery : advancing life sciences R & D
- Publication Type :
- Academic Journal
- Accession number :
- 28346100
- Full Text :
- https://doi.org/10.1177/2472555217692321