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      Patient-Derived Cancer Organoids as Predictors of Treatment Response

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          Abstract

          Patient-derived cancer organoids have taken a prominent role in pre-clinical and translational research and have been generated for most common solid tumors. Cancer organoids have been shown to retain key genetic and phenotypic characteristics of their tissue of origin, tumor subtype and maintain intratumoral heterogeneity and therefore have the potential to be used as predictors for individualized treatment response. In this review, we highlight studies that have used cancer organoids to compare the efficacy of standard-of-care and targeted combination treatments with clinical patient response. Furthermore, we review studies using cancer organoids to identify new anti-cancer treatments using drug screening. Finally, we discuss the current limitations and improvements needed to understand the full potential of cancer organoids as avatars for clinical management of cancer therapy.

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          Most cited references85

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          Single Lgr5 stem cells build crypt-villus structures in vitro without a mesenchymal niche.

          The intestinal epithelium is the most rapidly self-renewing tissue in adult mammals. We have recently demonstrated the presence of about six cycling Lgr5(+) stem cells at the bottoms of small-intestinal crypts. Here we describe the establishment of long-term culture conditions under which single crypts undergo multiple crypt fission events, while simultanously generating villus-like epithelial domains in which all differentiated cell types are present. Single sorted Lgr5(+) stem cells can also initiate these cryptvillus organoids. Tracing experiments indicate that the Lgr5(+) stem-cell hierarchy is maintained in organoids. We conclude that intestinal cryptvillus units are self-organizing structures, which can be built from a single stem cell in the absence of a non-epithelial cellular niche.
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            Modeling Development and Disease with Organoids.

            Recent advances in 3D culture technology allow embryonic and adult mammalian stem cells to exhibit their remarkable self-organizing properties, and the resulting organoids reflect key structural and functional properties of organs such as kidney, lung, gut, brain and retina. Organoid technology can therefore be used to model human organ development and various human pathologies 'in a dish." Additionally, patient-derived organoids hold promise to predict drug response in a personalized fashion. Organoids open up new avenues for regenerative medicine and, in combination with editing technology, for gene therapy. The many potential applications of this technology are only beginning to be explored.
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              Organoid cultures derived from patients with advanced prostate cancer.

              The lack of in vitro prostate cancer models that recapitulate the diversity of human prostate cancer has hampered progress in understanding disease pathogenesis and therapy response. Using a 3D organoid system, we report success in long-term culture of prostate cancer from biopsy specimens and circulating tumor cells. The first seven fully characterized organoid lines recapitulate the molecular diversity of prostate cancer subtypes, including TMPRSS2-ERG fusion, SPOP mutation, SPINK1 overexpression, and CHD1 loss. Whole-exome sequencing shows a low mutational burden, consistent with genomics studies, but with mutations in FOXA1 and PIK3R1, as well as in DNA repair and chromatin modifier pathways that have been reported in advanced disease. Loss of p53 and RB tumor suppressor pathway function are the most common feature shared across the organoid lines. The methodology described here should enable the generation of a large repertoire of patient-derived prostate cancer lines amenable to genetic and pharmacologic studies. Copyright © 2014 Elsevier Inc. All rights reserved.
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                Author and article information

                Contributors
                Journal
                Front Oncol
                Front Oncol
                Front. Oncol.
                Frontiers in Oncology
                Frontiers Media S.A.
                2234-943X
                18 March 2021
                2021
                : 11
                : 641980
                Affiliations
                [1] 1 Department of Radiation Oncology (MAASTRO), GROW School for Oncology and Developmental Biology, Maastricht University Medical Center+ , Maastricht, Netherlands
                [2] 2 Department of Medical Oncology, GROW School for Oncology and Developmental Biology, Maastricht University Medical Center+ , Maastricht, Netherlands
                Author notes

                Edited by: Massimo Broggini, Istituto di Ricerche Farmacologiche Mario Negri (IRCCS), Italy

                Reviewed by: Sabrina Fritah, Luxembourg Institute of Health, Luxembourg; Atish Mohanty, City of Hope National Medical Center, United States

                This article was submitted to Cancer Molecular Targets and Therapeutics, a section of the journal Frontiers in Oncology

                Article
                10.3389/fonc.2021.641980
                8012903
                33816288
                bba07742-6eff-4ab6-9a76-3b90660125b4
                Copyright © 2021 Verduin, Hoeben, De Ruysscher and Vooijs

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 15 December 2020
                : 01 March 2021
                Page count
                Figures: 1, Tables: 1, Equations: 0, References: 86, Pages: 16, Words: 7637
                Categories
                Oncology
                Review

                Oncology & Radiotherapy
                organoids,precision medicine,treatment response,treatment prediction,cancer,patient-derived

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