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Advanced Development of Primary Pancreatic Organoid Tumor Models for High-Throughput Phenotypic Drug Screening

Traditional high-throughput drug screening in oncology routinely relies on two-dimensional (2D) cell models, which inadequately recapitulate the physiologic context of cancer. Three-dimensional (3D) cell models are thought to better mimic the complexity of in vivo tumors. Numerous methods to culture...

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Autores principales: Hou, Shurong, Tiriac, Hervé, Sridharan, Banu Priya, Scampavia, Louis, Madoux, Franck, Seldin, Jan, Souza, Glauco R., Watson, Donald, Tuveson, David, Spicer, Timothy P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6013403/
https://www.ncbi.nlm.nih.gov/pubmed/29673279
http://dx.doi.org/10.1177/2472555218766842
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author Hou, Shurong
Tiriac, Hervé
Sridharan, Banu Priya
Scampavia, Louis
Madoux, Franck
Seldin, Jan
Souza, Glauco R.
Watson, Donald
Tuveson, David
Spicer, Timothy P.
author_facet Hou, Shurong
Tiriac, Hervé
Sridharan, Banu Priya
Scampavia, Louis
Madoux, Franck
Seldin, Jan
Souza, Glauco R.
Watson, Donald
Tuveson, David
Spicer, Timothy P.
author_sort Hou, Shurong
collection PubMed
description Traditional high-throughput drug screening in oncology routinely relies on two-dimensional (2D) cell models, which inadequately recapitulate the physiologic context of cancer. Three-dimensional (3D) cell models are thought to better mimic the complexity of in vivo tumors. Numerous methods to culture 3D organoids have been described, but most are nonhomogeneous and expensive, and hence impractical for high-throughput screening (HTS) purposes. Here we describe an HTS-compatible method that enables the consistent production of organoids in standard flat-bottom 384- and 1536-well plates by combining the use of a cell-repellent surface with a bioprinting technology incorporating magnetic force. We validated this homogeneous process by evaluating the effects of well-characterized anticancer agents against four patient-derived pancreatic cancer KRAS mutant-associated primary cells, including cancer-associated fibroblasts. This technology was tested for its compatibility with HTS automation by completing a cytotoxicity pilot screen of ~3300 approved drugs. To highlight the benefits of the 3D format, we performed this pilot screen in parallel in both the 2D and 3D assays. These data indicate that this technique can be readily applied to support large-scale drug screening relying on clinically relevant, ex vivo 3D tumor models directly harvested from patients, an important milestone toward personalized medicine.
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spelling pubmed-60134032018-07-01 Advanced Development of Primary Pancreatic Organoid Tumor Models for High-Throughput Phenotypic Drug Screening Hou, Shurong Tiriac, Hervé Sridharan, Banu Priya Scampavia, Louis Madoux, Franck Seldin, Jan Souza, Glauco R. Watson, Donald Tuveson, David Spicer, Timothy P. SLAS Discov Original Research Traditional high-throughput drug screening in oncology routinely relies on two-dimensional (2D) cell models, which inadequately recapitulate the physiologic context of cancer. Three-dimensional (3D) cell models are thought to better mimic the complexity of in vivo tumors. Numerous methods to culture 3D organoids have been described, but most are nonhomogeneous and expensive, and hence impractical for high-throughput screening (HTS) purposes. Here we describe an HTS-compatible method that enables the consistent production of organoids in standard flat-bottom 384- and 1536-well plates by combining the use of a cell-repellent surface with a bioprinting technology incorporating magnetic force. We validated this homogeneous process by evaluating the effects of well-characterized anticancer agents against four patient-derived pancreatic cancer KRAS mutant-associated primary cells, including cancer-associated fibroblasts. This technology was tested for its compatibility with HTS automation by completing a cytotoxicity pilot screen of ~3300 approved drugs. To highlight the benefits of the 3D format, we performed this pilot screen in parallel in both the 2D and 3D assays. These data indicate that this technique can be readily applied to support large-scale drug screening relying on clinically relevant, ex vivo 3D tumor models directly harvested from patients, an important milestone toward personalized medicine. SAGE Publications 2018-04-19 2018-07 /pmc/articles/PMC6013403/ /pubmed/29673279 http://dx.doi.org/10.1177/2472555218766842 Text en © 2018 Society for Laboratory Automation and Screening http://creativecommons.org/licenses/by/4.0/ This article is distributed under the terms of the Creative Commons Attribution 4.0 License (http://www.creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Original Research
Hou, Shurong
Tiriac, Hervé
Sridharan, Banu Priya
Scampavia, Louis
Madoux, Franck
Seldin, Jan
Souza, Glauco R.
Watson, Donald
Tuveson, David
Spicer, Timothy P.
Advanced Development of Primary Pancreatic Organoid Tumor Models for High-Throughput Phenotypic Drug Screening
title Advanced Development of Primary Pancreatic Organoid Tumor Models for High-Throughput Phenotypic Drug Screening
title_full Advanced Development of Primary Pancreatic Organoid Tumor Models for High-Throughput Phenotypic Drug Screening
title_fullStr Advanced Development of Primary Pancreatic Organoid Tumor Models for High-Throughput Phenotypic Drug Screening
title_full_unstemmed Advanced Development of Primary Pancreatic Organoid Tumor Models for High-Throughput Phenotypic Drug Screening
title_short Advanced Development of Primary Pancreatic Organoid Tumor Models for High-Throughput Phenotypic Drug Screening
title_sort advanced development of primary pancreatic organoid tumor models for high-throughput phenotypic drug screening
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6013403/
https://www.ncbi.nlm.nih.gov/pubmed/29673279
http://dx.doi.org/10.1177/2472555218766842
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