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Published in: Journal of Translational Medicine 1/2021

Open Access 01-12-2021 | Review

Patient-derived organoid (PDO) platforms to facilitate clinical decision making

Authors: Lisa Liu, Lei Yu, Zhichao Li, Wujiao Li, WeiRen Huang

Published in: Journal of Translational Medicine | Issue 1/2021

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Abstract

Based on recent advances in organoid research as well as the need to find more accurate models for drug screening in cancer research, patient-derived organoids have emerged as an effective in vitro model system to study cancer. Showing numerous advantages over 2D cell lines, 3D cell lines, and primary cell culture, organoids have been applied in drug screening to demonstrate the correlation between genetic mutations and sensitivity to targeted therapy. Organoids have also been used in co-clinical trials to compare drug responses in organoids to clinical responses in the corresponding patients. Numerous studies have reported the successful use of organoids to predict therapy response in cancer patients. Recently, organoids have been adopted to predict treatment response to radiotherapy and immunotherapy. The development of high throughput drug screening and organoids-on-a-chip technology can advance the use of patient-derived organoids in clinical practice and facilitate therapeutic decision-making.
Literature
1.
go back to reference Mittal R, et al. Organ-on-chip models: implications in drug discovery and clinical applications. J Cell Physiol. 2018;234:8352–80.PubMedCrossRef Mittal R, et al. Organ-on-chip models: implications in drug discovery and clinical applications. J Cell Physiol. 2018;234:8352–80.PubMedCrossRef
2.
3.
8.
9.
go back to reference Dutta D, et al. Disease modeling in stem cell-derived 3d organoid systems. Trends Mol Med. 2017;23:393–410.PubMedCrossRef Dutta D, et al. Disease modeling in stem cell-derived 3d organoid systems. Trends Mol Med. 2017;23:393–410.PubMedCrossRef
11.
14.
go back to reference Lodish H, Berk A, Zipursky SL, et al. Molecular cell biology. 4th ed. Section 6.2 Growth of Animal Cells in Culture. New York: W. H. Freeman; 2000. Lodish H, Berk A, Zipursky SL, et al. Molecular cell biology. 4th ed. Section 6.2 Growth of Animal Cells in Culture. New York: W. H. Freeman; 2000.
15.
go back to reference Halvorsen TL, Leibowitz G, Levine F. Telomerase activity is sufficient to allow transformed cells to escape from crisis. Mol Cell Biol. 1999;19:1864–70.PubMedPubMedCentralCrossRef Halvorsen TL, Leibowitz G, Levine F. Telomerase activity is sufficient to allow transformed cells to escape from crisis. Mol Cell Biol. 1999;19:1864–70.PubMedPubMedCentralCrossRef
16.
19.
go back to reference Vanderburgh J, et al. 3D printing of tissue engineered constructs for in vitro modeling of disease progression and drug screening. Ann Biomed Eng. 2017;45(1):164–79.PubMedCrossRef Vanderburgh J, et al. 3D printing of tissue engineered constructs for in vitro modeling of disease progression and drug screening. Ann Biomed Eng. 2017;45(1):164–79.PubMedCrossRef
22.
go back to reference Verjans ET, et al. Three-dimensional cell culture models for anticancer drug screening: worth the effort? J Cell Physiol. 2018;233(4):2993–3003.PubMedCrossRef Verjans ET, et al. Three-dimensional cell culture models for anticancer drug screening: worth the effort? J Cell Physiol. 2018;233(4):2993–3003.PubMedCrossRef
23.
go back to reference Horning J, et al. 3-D tumor model for in vitro evaluation of anticancer drugs. Mol Pharm. 2008;5:849–62.PubMedCrossRef Horning J, et al. 3-D tumor model for in vitro evaluation of anticancer drugs. Mol Pharm. 2008;5:849–62.PubMedCrossRef
25.
go back to reference Zoetemelk M, Rausch M, Colin DJ, Dormond O, Nowak-Sliwinska P. Short-term 3D culture systems of various complexity for treatment optimization of colorectal carcinoma. Sci Rep. 2019;9:1–14.CrossRef Zoetemelk M, Rausch M, Colin DJ, Dormond O, Nowak-Sliwinska P. Short-term 3D culture systems of various complexity for treatment optimization of colorectal carcinoma. Sci Rep. 2019;9:1–14.CrossRef
26.
go back to reference O’Driscoll L, et al. Phenotypic and global gene expression profile changes between low passage and high passage MIN-6 cells. J Endocrinol. 2006;191:665–76.PubMedCrossRef O’Driscoll L, et al. Phenotypic and global gene expression profile changes between low passage and high passage MIN-6 cells. J Endocrinol. 2006;191:665–76.PubMedCrossRef
28.
go back to reference Sachs N, et al. A living biobank of breast cancer organoids captures disease heterogeneity. Cell. 2018;172(373–386):e10. Sachs N, et al. A living biobank of breast cancer organoids captures disease heterogeneity. Cell. 2018;172(373–386):e10.
30.
go back to reference Boj SF, et al. Organoid models of human and mouse ductal pancreatic cancer. Cell. 2015;160:324–38.PubMedCrossRef Boj SF, et al. Organoid models of human and mouse ductal pancreatic cancer. Cell. 2015;160:324–38.PubMedCrossRef
31.
go back to reference Yan HH, et al. A comprehensive human gastric cancer organoid biobank captures tumor subtype heterogeneity and enables therapeutic screening. Cell Stem Cell. 2018;23:882–97.PubMedCrossRef Yan HH, et al. A comprehensive human gastric cancer organoid biobank captures tumor subtype heterogeneity and enables therapeutic screening. Cell Stem Cell. 2018;23:882–97.PubMedCrossRef
32.
33.
34.
go back to reference Yao Y, et al. Patient-derived organoids predict chemoradiation responses of locally advanced rectal cancer. Cell Stem Cell. 2020;26:17–26.PubMedCrossRef Yao Y, et al. Patient-derived organoids predict chemoradiation responses of locally advanced rectal cancer. Cell Stem Cell. 2020;26:17–26.PubMedCrossRef
35.
go back to reference Driehuis E, et al. Oral mucosal organoids as a potential platform for personalized cancer therapy. Cancer Discov. 2019;9:852–71.PubMedCrossRef Driehuis E, et al. Oral mucosal organoids as a potential platform for personalized cancer therapy. Cancer Discov. 2019;9:852–71.PubMedCrossRef
38.
go back to reference Scognamiglio G, et al. Patient-derived organoids as a potential model to predict response to PD-1/PD-L1 checkpoint inhibitors. Br J Cancer. 2019;121:979–82.PubMedPubMedCentralCrossRef Scognamiglio G, et al. Patient-derived organoids as a potential model to predict response to PD-1/PD-L1 checkpoint inhibitors. Br J Cancer. 2019;121:979–82.PubMedPubMedCentralCrossRef
41.
go back to reference Czerniecki SM, et al. High-throughput screening enhances kidney organoid differentiation from human pluripotent stem cells and enables automated multidimensional phenotyping. Cell Stem Cell. 2018;22:929.e4-940.e4.CrossRef Czerniecki SM, et al. High-throughput screening enhances kidney organoid differentiation from human pluripotent stem cells and enables automated multidimensional phenotyping. Cell Stem Cell. 2018;22:929.e4-940.e4.CrossRef
42.
go back to reference Phan N, et al. A simple high-throughput approach identifies actionable drug sensitivities in patient-derived tumor organoids. Commun Biol. 2019;2:1–11.CrossRef Phan N, et al. A simple high-throughput approach identifies actionable drug sensitivities in patient-derived tumor organoids. Commun Biol. 2019;2:1–11.CrossRef
43.
go back to reference Deng J, et al. Engineered liver-on-a-chip platform to mimic liver functions and its biomedical applications: a review. Micromachines. 2019;10:676.PubMedCentralCrossRef Deng J, et al. Engineered liver-on-a-chip platform to mimic liver functions and its biomedical applications: a review. Micromachines. 2019;10:676.PubMedCentralCrossRef
44.
go back to reference Ho CT, et al. Liver-cell patterning lab chip: mimicking the morphology of liver lobule tissue. Lab Chip. 2013;13:3578.PubMedCrossRef Ho CT, et al. Liver-cell patterning lab chip: mimicking the morphology of liver lobule tissue. Lab Chip. 2013;13:3578.PubMedCrossRef
45.
go back to reference Clevers H, et al. Advances in organoid technology. Cell Stem Cell. 2017;20:759–62.CrossRef Clevers H, et al. Advances in organoid technology. Cell Stem Cell. 2017;20:759–62.CrossRef
46.
go back to reference Grassi L, et al. Organoids as a new model for improving regenerative medicine and cancer personalized therapy in renal diseases. Cell Death Dis. 2019;10:1–15.CrossRef Grassi L, et al. Organoids as a new model for improving regenerative medicine and cancer personalized therapy in renal diseases. Cell Death Dis. 2019;10:1–15.CrossRef
47.
go back to reference Roerink SF, Sasaki N, Lee-Six H, et al. Intra-tumour diversification in colorectal cancer at the single-cell level. Nature. 2018;556:457–62.PubMedCrossRef Roerink SF, Sasaki N, Lee-Six H, et al. Intra-tumour diversification in colorectal cancer at the single-cell level. Nature. 2018;556:457–62.PubMedCrossRef
Metadata
Title
Patient-derived organoid (PDO) platforms to facilitate clinical decision making
Authors
Lisa Liu
Lei Yu
Zhichao Li
Wujiao Li
WeiRen Huang
Publication date
01-12-2021
Publisher
BioMed Central
Published in
Journal of Translational Medicine / Issue 1/2021
Electronic ISSN: 1479-5876
DOI
https://doi.org/10.1186/s12967-020-02677-2

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