Automated Assessment of Cancer Drug Efficacy On Breast Tumor Spheroids in Aggrewell™400 Plates Using Image Cytometry.
Aggrewell™400
Celigo
High-throughput screening
Image cytometry
Tumor spheroid
Journal
Journal of fluorescence
ISSN: 1573-4994
Titre abrégé: J Fluoresc
Pays: Netherlands
ID NLM: 9201341
Informations de publication
Date de publication:
Mar 2022
Mar 2022
Historique:
received:
16
09
2021
accepted:
27
12
2021
pubmed:
7
1
2022
medline:
24
3
2022
entrez:
6
1
2022
Statut:
ppublish
Résumé
Tumor spheroid models have proven useful in the study of cancer cell responses to chemotherapeutic compounds by more closely mimicking the 3-dimensional nature of tumors in situ. Their advantages are often offset, however, by protocols that are long, complicated, and expensive. Efforts continue for the development of high-throughput assays that combine the advantages of 3D models with the convenience and simplicity of traditional 2D monolayer methods. Herein, we describe the development of a breast cancer spheroid image cytometry assay using T47D cells in Aggrewell™400 spheroid plates. Using the Celigo
Identifiants
pubmed: 34989923
doi: 10.1007/s10895-021-02881-3
pii: 10.1007/s10895-021-02881-3
doi:
Substances chimiques
Antineoplastic Agents
0
Fluoresceins
0
Fluorescent Dyes
0
calcein AM
148504-34-1
Propidium
36015-30-2
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
521-531Informations de copyright
© 2022. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.
Références
Selby M et al (2017) 3D Models of the NCI60 Cell Lines for Screening Oncology Compounds. SLAS Discov 22:473–483
pubmed: 28288283
Close DA et al (2018) Implementation of the NCI-60 Human Tumor Cell Line Panel to Screen 2260 Cancer Drug Combinations to Generate >3 Million Data Points Used to Populate a Large Matrix of Anti-Neoplastic Agent Combinations (ALMANAC) Database. SLAS DISCOVERY: Advancing the Science of Drug Discovery 24:242–263
Fang Y, Eglen RM (2017) Three-dimensional cell cultures in drug discovery and development. Slas discovery: Advancing Life Sciences R&D 22:456–472
Sant S, Johnston PA (2017) The production of 3D tumor spheroids for cancer drug discovery. Drug Discov Today Technol 23:27–36
pubmed: 28647083
pmcid: 5497458
Riedl A et al (2017) Comparison of cancer cells in 2D vs 3D culture reveals differences in AKT–mTOR–S6K signaling and drug responses. J Cell Sci 130:203–218
pubmed: 27663511
Mirab F, Kang YJ, Majd S (2019) Preparation and characterization of size-controlled glioma spheroids using agarose hydrogel microwells. PLoS ONE 14:e0211078–e0211078
pubmed: 30677075
pmcid: 6345430
Mortensen ACL, Morin E, Brown CJ, Lane DP, Nestor M (2020) Enhancing the therapeutic effects of in vitro targeted radionuclide therapy of 3D multicellular tumor spheroids using the novel stapled MDM2/X-p53 antagonist PM2. EJNMMI Res 10:38–38
pubmed: 32300907
pmcid: 7163001
Ballangrud ÅM et al (2001) Response of LNCaP Spheroids after Treatment with an α-Particle Emitter (<sup>213</sup>Bi)-labeled Anti-Prostate-specific Membrane Antigen Antibody (J591). Can Res 61:2008–2014
Sirenko O et al (2015) High-Content Assays for Characterizing the Viability and Morphology of 3D Cancer Spheroid Cultures. Assay Drug Dev Technol 13:402–414
pubmed: 26317884
pmcid: 4556086
LaBonia GJ, Lockwood SY, Heller AA, Spence DM, Hummon AB (2016) Drug penetration and metabolism in 3D cell cultures treated in a 3D printed fluidic device: assessment of irinotecan via MALDI imaging mass spectrometry. Proteomics 16:1814–1821
pubmed: 27198560
pmcid: 5310941
Liu X, Weaver EM, Hummon AB (2013) Evaluation of therapeutics in three-dimensional cell culture systems by MALDI imaging mass spectrometry. Anal Chem 85:6295–6302
pubmed: 23724927
pmcid: 4118837
Hagemann J et al (2017) Spheroid-based 3D Cell Cultures Enable Personalized Therapy Testing and Drug Discovery in Head and Neck Cancer. Anticancer Res 37:2201–2210
pubmed: 28476783
Palubeckaitė I et al (2020) Mass spectrometry imaging of endogenous metabolites in response to doxorubicin in a novel 3D osteosarcoma cell culture model. J Mass Spectrom. 55:e4461
Vinci M, Box C, Eccles SA (2015) Three-Dimensional (3D) Tumor Spheroid Invasion Assay. JoVE. e52686 https://doi.org/10.3791/52686
Vinci M, Box C, Zimmermann M, Eccles S (2013) Tumor Spheroid-Based Migration Assays for Evaluation of Therapeutic Agents. Methods Mol Biol 986:253–266
pubmed: 23436417
Scherliess R (2011) The MTT assay as tool to evaluate and compare excipient toxicity in vitro on respiratory epithelial cells. Int J Pharm 411:98–105
pubmed: 21453764
Larsson P et al (2020) Optimization of cell viability assays to improve replicability and reproducibility of cancer drug sensitivity screens. Sci Rep 10:5798
pubmed: 32242081
pmcid: 7118156
Eilenberger C et al (2018) Optimized alamarBlue assay protocol for drug dose-response determination of 3D tumor spheroids. MethodsX 5:781–787
pubmed: 30094205
pmcid: 6072978
Lang SH, Sharrard RM, Stark M, Villette JM, Maitland NJ (2001) Prostate epithelial cell lines form spheroids with evidence of glandular differentiation in three-dimensional Matrigel cultures. Br J Cancer 85:590–599
pubmed: 11506501
pmcid: 2364090
Dadgar N et al (2020) A microfluidic platform for cultivating ovarian cancer spheroids and testing their responses to chemotherapies. Microsyst Nanoeng 6:93
pubmed: 34567703
pmcid: 8433468
Ware MJ et al (2016) Generation of Homogenous Three-Dimensional Pancreatic Cancer Cell Spheroids Using an Improved Hanging Drop Technique. Tissue Eng Part C Methods 22:312–321
pubmed: 26830354
pmcid: 4827286
Ingram M et al (1997) Three-dimensional growth patterns of various human tumor cell lines in simulated microgravity of a NASA bioreactor. In Vitro Cell Dev Biol Anim 33:459–466
pubmed: 9201514
Howes AL, Richardson RD, Finlay D, Vuori K.(2014) 3-Dimensional culture systems for anti-cancer compound profiling and high-throughput screening reveal increases in EGFR inhibitor-mediated cytotoxicity compared to monolayer culture systems. PloS One. 9(9):e108283
Vinci M et al (2012) Advances in establishment and analysis of three-dimensional tumor spheroid-based functional assays for target validation and drug evaluation. BMC Biol 10:29
pubmed: 22439642
pmcid: 3349530
Lee JM et al (2018) Generation of uniform-sized multicellular tumor spheroids using hydrogel microwells for advanced drug screening. Sci Rep 8:1–10
Jeon O, Marks R, Wolfson D, Alsberg E (2016) Dual-crosslinked hydrogel microwell system for formation and culture of multicellular human adipose tissue-derived stem cell spheroids. Journal of Materials Chemistry B 4:3526–3533
pubmed: 32263386
pmcid: 7738273
Fukuda J et al (2006) Micromolding of photocrosslinkable chitosan hydrogel for spheroid microarray and co-cultures. Biomaterials 27:5259–5267
pubmed: 16814859
Okuyama T et al (2010) Preparation of arrays of cell spheroids and spheroid-monolayer cocultures within a microfluidic device. J Biosci Bioeng 110:572–576
pubmed: 20591731
Seo J et al (2018) High-throughput approaches for screening and analysis of cell behaviors. Biomaterials 153:85–101
pubmed: 29079207
Sun Q et al (2018) Microfluidic Formation of Coculture Tumor Spheroids with Stromal Cells As a Novel 3D Tumor Model for Drug Testing. ACS Biomater Sci Eng 4:4425–4433
pubmed: 33418835
Madoux F et al (2017) A 1536-Well 3D Viability Assay to Assess the Cytotoxic Effect of Drugs on Spheroids. SLAS DISCOVERY: Advancing the Science of Drug Discovery 22:516–524
Mathews LA et al (2012) A 1536-well quantitative high-throughput screen to identify compounds targeting cancer stem cells. J Biomol Screen 17:1231–1242
pubmed: 22927676
pmcid: 6993186
Tung Y-C et al (2011) High-throughput 3D spheroid culture and drug testing using a 384 hanging drop array. Analyst 136:473–478
pubmed: 20967331
Raghavan S et al (2015) Formation of stable small cell number three-dimensional ovarian cancer spheroids using hanging drop arrays for preclinical drug sensitivity assays. Gynecol Oncol 138:181–189
pubmed: 25913133
pmcid: 4480341
Razian G, Yu Y, Ungrin M (2013) Production of large numbers of size-controlled tumor spheroids using microwell plates. JoVE J Visual Exp. 81:e50665. https://doi.org/10.3791/50665
Chan LL, Wilkinson AR, Paradis BD, Lai N (2012) Rapid Image-based Cytometry for Comparison of Fluorescent Viability Staining Methods. J Fluoresc 22:1301–1311
pubmed: 22718197
Chan LL-Y, Kuksin D, Laverty DJ, Saldi S, Qiu J (2015) Morphological observation and analysis using automated image cytometry for the comparison of trypan blue and fluorescence-based viability detection method. Cytotechnology 67:461–473
pubmed: 24643390
Cribbes S, Kessel S, McMenemy S, Qiu J, Chan LL-Y (2017) A Novel Multiparametric Drug-Scoring Method for High-Throughput Screening of 3D Multicellular Tumor Spheroids Using the Celigo Image Cytometer. SLAS DISCOVERY: Advancing the Science of Drug Discovery 22:547–557
Pereira P et al (2017) Cancer cell spheroids are a better screen for the photodynamic efficiency of glycosylated photosensitizers. PLoS ONE. 12
Gaskell H et al (2016) Characterization of a Functional C3A Liver Spheroid Model. Toxicol. Res. 5
Gong X et al (2015) Generation of Multicellular Tumor Spheroids with Microwell-Based Agarose Scaffolds for Drug Testing. Plos One 10:e0130348
Lewis N et al (2017) Magnetically levitated mesenchymal stem cell spheroids cultured with a collagen gel maintain phenotype and quiescence. Journal of Tissue Engineering 8:204173141770442
Singh M, Close DA, Mukundan S, Johnston PA, Sant S (2015) Production of Uniform 3D Microtumors in Hydrogel Microwell Arrays for Measurement of Viability, Morphology, and Signaling Pathway Activation. Assay Drug Dev Technol 13:570–583
pubmed: 26274587
pmcid: 4652144
Singh M, Mukundan S, Jaramillo M, Oesterreich S, Sant S (2016) Three-Dimensional Breast Cancer Models Mimic Hallmarks of Size-Induced Tumor Progression. Can Res 76:3732–3743
Thakuri PS, Gupta M, Plaster M, Tavana H (2019) Quantitative Size-Based Analysis of Tumor Spheroids and Responses to Therapeutics. Assay Drug Dev Technol 17:140–149
pubmed: 30958703
Yang W et al (2012) Genomics of Drug Sensitivity in Cancer (GDSC): a resource for therapeutic biomarker discovery in cancer cells. Nucleic Acids Res 41:D955–D961
pubmed: 3531057
pmcid: 3531057
Ariaans G, Jalving M, Vries EG, Jong S (2017) Anti-tumor effects of everolimus and metformin are complementary and glucose-dependent in breast cancer cells. BMC Cancer 17:232
pubmed: 28356082
pmcid: 5372253
Serrano MJ et al (2002) Evaluation of a Gemcitabine-Doxorubicin-Paclitaxel Combination Schedule through Flow Cytometry Assessment of Apoptosis Extent Induced in Human Breast Cancer Cell Lines. Jpn J Cancer Res 93:559–566
pubmed: 12036452
pmcid: 5927032
Bashmail HA et al (2018) Thymoquinone synergizes gemcitabine anti-breast cancer activity via modulating its apoptotic and autophagic activities. Sci Rep 8:11674
pubmed: 30076320
pmcid: 6076303
Durbin KR, Nottoli MS, Jenkins GJ (2020) Effects of microtubule-inhibiting small molecule and antibody-drug conjugate treatment on differentially-sized A431 squamous carcinoma spheroids. Sci Rep 10:907
pubmed: 31969631
pmcid: 6976639