Drug screening of biopsy-derived spheroids using a self-generated microfluidic concentration gradient

Performing drug screening of tissue derived from cancer patient biopsies using physiologically relevant 3D tumour models presents challenges due to the limited amount of available cell material. Here, we present a microfluidic platform that enables drug screening of cancer cell-enriched multicellular spheroids derived from tumour biopsies, allowing extensive anticancer compound screening prior to treatment. This technology was validated using cell lines and then used to screen primary human prostate cancer cells, grown in 3D as a heterogeneous culture from biopsy-derived tissue. The technology enabled the formation of repeatable drug concentration gradients across an array of spheroids without external fluid actuation, delivering simultaneously a range of drug concentrations to multiple sized spheroids, as well as replicates for each concentration. As proof-of-concept screening, spheroids were generated from two patient biopsies and a panel of standard-of-care compounds for prostate cancer were tested. Brightfield and fluorescence images were analysed to provide readouts of spheroid growth and health, as well as drug efficacy over time. Overall, this technology could prove a useful tool for personalised medicine and future drug development, with the potential to provide cost- and time-reduction in the healthcare delivery.

[1]  H. Xu,et al.  Androgen receptor: structure, role in prostate cancer and drug discovery , 2014, Acta Pharmacologica Sinica.

[2]  Hossein Tavana,et al.  Optimization of Aqueous Biphasic Tumor Spheroid Microtechnology for Anti-cancer Drug Testing in 3D Culture , 2014, Cellular and Molecular Bioengineering.

[3]  Shuichi Takayama,et al.  High-throughput 3D spheroid culture and drug testing using a 384 hanging drop array. , 2011, The Analyst.

[4]  Chien-Chung Peng,et al.  A microfluidic device for uniform-sized cell spheroids formation, culture, harvesting and flow cytometry analysis. , 2013, Biomicrofluidics.

[5]  L P Ferreira,et al.  Design of spherically structured 3D in vitro tumor models -Advances and prospects. , 2018, Acta biomaterialia.

[6]  C. Ries,et al.  Comparison of 3D and 2D tumor models reveals enhanced HER2 activation in 3D associated with an increased response to trastuzumab , 2009, Oncogene.

[7]  Emanuele Marconi,et al.  A microfluidic platform for chemoresistive testing of multicellular pleural cancer spheroids. , 2014, Lab on a chip.

[8]  Maria Teresa Santini,et al.  Three-Dimensional Spheroid Model in Tumor Biology , 1999, Pathobiology.

[9]  Jing Cheng,et al.  Integration of single oocyte trapping, in vitro fertilization and embryo culture in a microwell-structured microfluidic device. , 2010, Lab on a chip.

[10]  Chien-Chung Peng,et al.  Drug testing and flow cytometry analysis on a large number of uniform sized tumor spheroids using a microfluidic device , 2016, Scientific Reports.

[11]  R. Kwapiszewski,et al.  A microfluidic-based platform for tumour spheroid culture, monitoring and drug screening. , 2014, Lab on a chip.

[12]  Michele Zagnoni,et al.  Chemically induced synaptic activity between mixed primary hippocampal co-cultures in a microfluidic system. , 2014, Integrative biology : quantitative biosciences from nano to macro.

[13]  Gang Shao,et al.  A clinically relevant androgen receptor mutation confers resistance to second-generation antiandrogens enzalutamide and ARN-509. , 2013, Cancer discovery.

[14]  Hayley E. Francies,et al.  Prospective Derivation of a Living Organoid Biobank of Colorectal Cancer Patients , 2015, Cell.

[15]  Z. Nie,et al.  Microfluidic 3D cell culture: potential application for tissue-based bioassays. , 2012, Bioanalysis.

[16]  Andreas Hierlemann,et al.  96-Well Format-Based Microfluidic Platform for Parallel Interconnection of Multiple Multicellular Spheroids , 2015, Journal of laboratory automation.

[17]  D. Lobo,et al.  3-Dimensional Patient-Derived Lung Cancer Assays Reveal Resistance to Standards-of-Care Promoted by Stromal Cells but Sensitivity to Histone Deacetylase Inhibitors , 2016, Molecular Cancer Therapeutics.

[18]  Simon T Barry,et al.  Modelling the tumour microenvironment in long-term microencapsulated 3D co-cultures recapitulates phenotypic features of disease progression. , 2016, Biomaterials.

[19]  P. Cuatrecasas,et al.  Epidermal growth factor: receptors in human fibroblasts and modulation of action by cholera toxin. , 1973, Proceedings of the National Academy of Sciences of the United States of America.

[20]  L. O’Driscoll,et al.  Three-dimensional cell culture: the missing link in drug discovery. , 2013, Drug discovery today.

[21]  O. De Wever,et al.  Modeling and quantification of cancer cell invasion through collagen type I matrices. , 2010, The International journal of developmental biology.

[22]  Martin Fussenegger,et al.  Method for generation of homogeneous multicellular tumor spheroids applicable to a wide variety of cell types. , 2003, Biotechnology and bioengineering.

[23]  N. Jeon,et al.  Biological applications of microfluidic gradient devices. , 2010, Integrative biology : quantitative biosciences from nano to macro.

[24]  R. Chess-Williams,et al.  The Role of α1-Adrenoceptor Antagonists in the Treatment of Prostate and Other Cancers. , 2016, International journal of molecular sciences.

[25]  Mårten Fryknäs,et al.  Effects of hypoxia on human cancer cell line chemosensitivity , 2013, BMC Cancer.

[26]  E. Antonarakis,et al.  Enzalutamide: an evidence-based review of its use in the treatment of prostate cancer , 2013, Core evidence.

[27]  François Vaillant,et al.  Patient-derived xenograft (PDX) models in basic and translational breast cancer research , 2016, Cancer and Metastasis Reviews.

[28]  James A Bankson,et al.  Three-dimensional tissue culture based on magnetic cell levitation. , 2010, Nature nanotechnology.

[29]  Barbara Mayer,et al.  Bringing 3D tumor models to the clinic – predictive value for personalized medicine , 2017, Biotechnology journal.

[30]  Mina J. Bissell,et al.  Putting tumours in context , 2001, Nature Reviews Cancer.

[31]  Hossein Tavana,et al.  Multiparametric Analysis of Oncology Drug Screening with Aqueous Two-Phase Tumor Spheroids. , 2016, Molecular pharmaceutics.

[32]  Artur Dybko,et al.  Development of a three-dimensional microfluidic system for long-term tumor spheroid culture , 2012 .

[33]  G. Hannon,et al.  Patient-derived tumor xenografts: transforming clinical samples into mouse models. , 2013, Cancer research.

[34]  H. Klocker,et al.  Cancer-Associated Fibroblasts Modify the Response of Prostate Cancer Cells to Androgen and Anti-Androgens in Three-Dimensional Spheroid Culture , 2016, International journal of molecular sciences.

[35]  K. Smalley,et al.  Fibroblast-mediated drug resistance in cancer. , 2013, Biochemical pharmacology.

[36]  Hans Clevers,et al.  Organoid Cultures Derived from Patients with Advanced Prostate Cancer , 2014, Cell.

[37]  M. Bissell,et al.  Of extracellular matrix, scaffolds, and signaling: tissue architecture regulates development, homeostasis, and cancer. , 2006, Annual review of cell and developmental biology.

[38]  E. Cukierman,et al.  Miniaturized pre-clinical cancer models as research and diagnostic tools. , 2014, Advanced drug delivery reviews.

[39]  M. Teitell,et al.  Enhanced paracrine FGF10 expression promotes formation of multifocal prostate adenocarcinoma and an increase in epithelial androgen receptor. , 2007, Cancer cell.

[40]  S. Tay,et al.  Microfluidic cell culture. , 2014, Current opinion in biotechnology.

[41]  Liying Wang,et al.  Microfluidic gradient device for studying mesothelial cell migration and the effect of chronic carbon nanotube exposure , 2015, Journal of micromechanics and microengineering : structures, devices, and systems.

[42]  Juergen Friedrich,et al.  Spheroid-based drug screen: considerations and practical approach , 2009, Nature Protocols.

[43]  Holger Becker,et al.  A novel microfluidic 3D platform for culturing pancreatic ductal adenocarcinoma cells: comparison with in vitro cultures and in vivo xenografts , 2017, Scientific Reports.

[44]  David J Beebe,et al.  Microfluidic 3D models of cancer. , 2014, Advanced drug delivery reviews.

[45]  Manuel Hidalgo,et al.  Patient-derived xenograft models: an emerging platform for translational cancer research. , 2014, Cancer discovery.

[46]  Kangsun Lee,et al.  Design of pressure-driven microfluidic networks using electric circuit analogy. , 2012, Lab on a chip.

[47]  Apurva R. Patel,et al.  AlgiMatrix™ Based 3D Cell Culture System as an In-Vitro Tumor Model for Anticancer Studies , 2013, PloS one.

[48]  A. Folch,et al.  Biomolecular gradients in cell culture systems. , 2008, Lab on a chip.

[49]  Thomas Geiser,et al.  Towards personalized medicine: chemosensitivity assays of patient lung cancer cell spheroids in a perfused microfluidic platform. , 2015, Lab on a chip.

[50]  Kenneth M. Yamada,et al.  Modeling Tissue Morphogenesis and Cancer in 3D , 2007, Cell.

[51]  M. Hall,et al.  The influence of tumour microenvironmental factors on the efficacy of cisplatin and novel platinum(IV) complexes. , 2005, Biochemical pharmacology.

[52]  Alessandro Bevilacqua,et al.  3D tumor spheroid models for in vitro therapeutic screening: a systematic approach to enhance the biological relevance of data obtained , 2016, Scientific Reports.

[53]  B. Fabry,et al.  Differential response of patient-derived primary glioblastoma cells to environmental stiffness , 2016, Scientific Reports.

[54]  Johannes E. Schindelin,et al.  Fiji: an open-source platform for biological-image analysis , 2012, Nature Methods.