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Cancer Research

Medium-Throughput Drug- and Radiotherapy Screening Assay using Patient-Derived Organoids

Published: April 30th, 2021

DOI:

10.3791/62495

1Crown Bioscience Netherlands B.V., 2Oncode Institute, Hubrecht Institute, Royal Netherlands Academy of Arts and Sciences (KNAW) and University Medical Center Utrecht, 3Hubrecht Organoid Technology (HUB), 4Pathology dept, University Medical Center Utrecht, 5Department of Clinical Sciences - Companion Animals, Faculty of Veterinary Medicine, Utrecht University, 6Crown Bioscience Inc.
* These authors contributed equally

We describe detailed protocols to use patient-derived organoids for medium-throughput therapy sensitivity screenings. Therapies tested include chemotherapy, radiotherapy, and chemo-radiotherapy. Adenosine triphosphate levels are used as a functional readout.

Patient-derived organoid (PDO) models allow for long-term expansion and maintenance of primary epithelial cells grown in three dimensions and a near-native state. When derived from resected or biopsied tumor tissue, organoids closely recapitulate in vivo tumor morphology and can be used to study therapy response in vitro. Biobanks of tumor organoids reflect the vast variety of clinical tumors and patients and therefore hold great promise for preclinical and clinical applications. This paper presents a method for medium-throughput drug screening using head and neck squamous cell carcinoma and colorectal adenocarcinoma organoids. This approach can easily be adopted for use with any tissue-derived organoid model, both normal and diseased. Methods are described for in vitro exposure of organoids to chemo- and radiotherapy (either as single-treatment modality or in combination). Cell survival after 5 days of drug exposure is assessed by measuring adenosine triphosphate (ATP) levels. Drug sensitivity is measured by the half-maximal inhibitory concentration (IC50), area under the curve (AUC), and growth rate (GR) metrics. These parameters can provide insight into whether an organoid culture is deemed sensitive or resistant to a particular treatment.

Organoid models established from adult stem cells and grown in a three-dimensional (3D) extracellular matrix (ECM) and a specific growth factor cocktail (also known as HUB Organoids) are gaining traction as preclinical oncological screening platforms. Patient-derived organoid (PDO) cultures can be established from both normal and diseased tissue biopsies within 1-2 weeks and can be expanded for a minimum of 1-2 months up to unlimited timespans. Cryopreservation allows for long-term usage of well-characterized cultures. Unlike traditional two-dimensional cell line models that are clonally derived, PDO models closely recapitulate the original tumor tissue, both phenotyp....

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NOTE: Before using this protocol, please ensure that the guidelines of the institution's human research ethics committee are followed. Collection of patient tissue and data described in this protocol has been performed following EUREC guidelines and following European, national and local law. All organoids were derived from consenting patients, and consent can be withdrawn at any time.

1. Prior to screening

  1. Confirm the identity of newly established models (e.g., by his.......

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The aim of this experiment was to examine the sensitivity of HNSCC organoids to chemotherapy and radiotherapy as single agents. We also tested the reproducibility of the results by executing the experiment multiple times with a week's interval, resulting in several biological replicates (experiments 1-3) (Figure 2). Following the protocol, on day 0, HNSCC PDOs were harvested from 6 wells of a 6-well plate and enzymatically and mechanically sheared to single cells (or small organoids <.......

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This article and video describe how to perform medium-throughput drug screening using PDOs. This protocol can, with optimization, be adopted to screen organoids derived from different tissue types from those described here. Determining the ideal passage timeframe prior to the screen is important as this will vary for individual organoid cultures and depend on the tissue type. The density and size of organoids seeded per well is an important factor to optimize as faster growing models will require more space within the we.......

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We thank Annemarie Buijs, Xiaoxi Xu, and Federica Parisi for discussions and valuable input, and Ingrid Boots and Marjolijn Gross for technical assistance.

....

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Name Company Catalog Number Comments
Required equipment
384-well bioluminescence platereader; e.g. Tecan Spark 10M plate reader Tecan
Brightfield microscope with large field of view lens (2.5x)
Digital dispenser; e.g. Tecan D300e Tecan Drug dispensing
6 MV photon beam irradiator Elekta model Synergy, Elekta Sweden
Liquid handler with large nozzle (“standard tube”) cassettes; 
e.g. Multidrop Combi Reagent Dispenser Thermo Scientific
Plastic container with plate holder insert for radiotherapy Home-made
Spark control method editor software
Standard tissue culturing equipment (LAF cabinet, incubator, centrifuge, waterbath, etc)
Required materials
1.5 mL plastic tubes
15- and 50-mL plastic tubes
5, 10- and 25-mL sterile plastic pipets
6-well cell culture plates
Black 384-well ultra-low-attachment clear-bottom plate; e.g.. Corning 384 flat black Corning 4588
Breathe-Easy sealing membrane Merck pre-cut polyurethane medical-grade membrane with acrylic adhesive
Glasstic slide 10-chambered slide with hemocytometer grid
Multidrop Combi Reagent Dispenser standard tube dispensing cassette Thermo Scientific
Plugged Pasteur’s pipet of which the tip has been tightened in a flame
Reversible 20/40/70/100 µm filters: PluriStrainer Pluriselect e.g. 43-50020-03
Sterile P1000, P200, P20 and P2 pipet tips and low-retention filter tips ( e.g. Sapphire tips) Greiner 750266
T8 Plus and D4 Plus casettes HP/Tecan
Required reagents
100 x Glutamax L-glutamine substitute
1 M HEPES
30% (v/v) Tween-20 diluted in PBS
70% EtOH
Advanced-DMEM/F12 Thermo Scientific 12634-010
CellTiter-Glo 3D cell viability assay Promega G9681
Compounds to test screen, including Staurosporin or other positive control
Dispase II Sigma-Aldrich D4693
DMSO
ECM for CRC: growth-factor reduced Matrigel, phenol-free Corning 356231
ECM for HNSCC PDOs: BME, Cultrex RGF Basement membrane extract, Type R1 R&D Systems 3433-005-R1
Expansion growth medium (specific for each organoid type)
Organoid growth factors (specific for each organoid type)
PBS
Pen/Strep (100 U/mL)
ROCK inhibitor: Y-27632 Abmole M1817
TrypLE
Required Software Packages:
GraphPad Prism
Microsoft Excel

  1. Tiriac, H., et al. Organoid profiling identifies common responders to chemotherapy in pancreatic cancer. Cancer Discovery. 8 (9), 1112-1129 (2018).
  2. Sachs, N., et al. A Living biobank of breast cancer organoids captures disease heterogeneity. Cell. 172 (1-2), 373-386 (2018).
  3. Yan, H. H. N., et al. A comprehensive human gastric cancer organoid biobank captures tumor subtype heterogeneity and enables therapeutic screening. Cell Stem Cell. 23 (6), 882-897 (2018).
  4. Ganesh, K., et al. A rectal cancer organoid platform to study individual responses to chemoradiation. Nature Medicine. 25 (10), 1607-1614 (2019).
  5. Ooft, S. N., et al. Patient-derived organoids can predict response to chemotherapy in metastatic colorectal cancer patients. Science Translational Medicine. 11 (513), (2019).
  6. Vlachogiannis, G., et al. Patient-derived organoids model treatment response of metastatic gastrointestinal cancers. Science. 359 (6378), 920-926 (2018).
  7. Yao, Y., et al. Patient-derived organoids predict chemoradiation responses of locally advanced rectal cancer. Cell Stem Cell. 26 (1), 17-26 (2019).
  8. de Witte, C. J., et al. Patient-derived ovarian cancer organoids mimic clinical response and exhibit heterogeneous inter- and intrapatient drug responses. Cell Reports. 31 (11), 107762 (2020).
  9. van de Wetering, M., et al. Prospective derivation of a living organoid biobank of colorectal cancer patients. Cell. 161 (4), 933-945 (2015).
  10. Driehuis, E., et al. Oral mucosal organoids as a potential platform for personalized cancer therapy. Cancer Discovery. 9 (7), 852-871 (2019).
  11. Sachs, N., et al. Long-term expanding human airway organoids for disease modeling. The EMBO Journal. 38 (4), 100300 (2019).
  12. Driehuis, E., Kretzschmar, K., Clevers, H. Establishment of patient-derived cancer organoids for drug-screening applications. Nature Protocols. 15 (10), 3380-3409 (2020).
  13. Zhang, J. -. H., Chung, T. D. Y., Oldenburg, K. R. A simple statistical parameter for use in evaluation and validation of high throughput screening assays. Journal of Biomolecular Screening. 4 (2), 67-73 (1999).
  14. Hafner, M., Niepel, M., Chung, M., Sorger, P. K. Growth rate inhibition metrics correct for confounders in measuring sensitivity to cancer drugs. Nature Methods. 13 (6), 521-527 (2016).
  15. Chen, X., Qian, W., Song, Z., Li, Q. -. X., Guo, S. Authentication, characterization and contamination detection of cell lines, xenografts and organoids by barcode deep NGS sequencing. NAR Genomics and Bioinformatics. 2 (3), (2020).
  16. Driehuis, E., et al. Patient-derived head and neck cancer organoids recapitulate EGFR expression levels of respective tissues and are responsive to EGFR-targeted photodynamic therapy. Journal of Clinical Medicine. 8 (11), 1880 (2019).
  17. Sebaugh, J. L. Guidelines for accurate EC50/IC50 estimation. Pharmaceutical Statistics. 10 (2), 128-134 (2011).

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