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      Immersion Bioprinting of Tumor Organoids in Multi-Well Plates for Increasing Chemotherapy Screening Throughput

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          Abstract

          The current drug development pipeline takes approximately fifteen years and $2.6 billion to get a new drug to market. Typically, drugs are tested on two-dimensional (2D) cell cultures and animal models to estimate their efficacy before reaching human trials. However, these models are often not representative of the human body. The 2D culture changes the morphology and physiology of cells, and animal models often have a vastly different anatomy and physiology than humans. The use of bioengineered human cell-based organoids may increase the probability of success during human trials by providing human-specific preclinical data. They could also be deployed for personalized medicine diagnostics to optimize therapies in diseases such as cancer. However, one limitation in employing organoids in drug screening has been the difficulty in creating large numbers of homogeneous organoids in form factors compatible with high-throughput screening (e.g., 96- and 384-well plates). Bioprinting can be used to scale up deposition of such organoids and tissue constructs. Unfortunately, it has been challenging to 3D print hydrogel bioinks into small-sized wells due to well–bioink interactions that can result in bioinks spreading out and wetting the well surface instead of maintaining a spherical form. Here, we demonstrate an immersion printing technique to bioprint tissue organoids in 96-well plates to increase the throughput of 3D drug screening. A hydrogel bioink comprised of hyaluronic acid and collagen is bioprinted into a viscous gelatin bath, which blocks the bioink from interacting with the well walls and provides support to maintain a spherical form. This method was validated using several cancerous cell lines, and then applied to patient-derived glioblastoma (GBM) and sarcoma biospecimens for drug screening.

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          Organoid-on-a-chip and body-on-a-chip systems for drug screening and disease modeling.

          In recent years, advances in tissue engineering and microfabrication technologies have enabled rapid growth in the areas of in vitro organoid development as well as organoid-on-a-chip platforms. These 3D model systems often are able to mimic human physiology more accurately than traditional 2D cultures and animal models. In this review, we describe the progress that has been made to generate organ-on-a-chip platforms and, more recently, more complex multi-organoid body-on-a-chip platforms and their applications. Importantly, these systems have the potential to dramatically impact biomedical applications in the areas of drug development, drug and toxicology screening, disease modeling, and the emerging area of personalized precision medicine.
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            Biomimetic tissues on a chip for drug discovery.

            Developing biologically relevant models of human tissues and organs is an important enabling step for disease modeling and drug discovery. Recent advances in tissue engineering, biomaterials and microfluidics have led to the development of microscale functional units of such models also referred to as 'organs on a chip'. In this review, we provide an overview of key enabling technologies and highlight the wealth of recent work regarding on-chip tissue models. In addition, we discuss the current challenges and future directions of organ-on-chip development. Copyright © 2011 Elsevier Ltd. All rights reserved.
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              Small-Molecule NSC59984 Restores p53 Pathway Signaling and Antitumor Effects against Colorectal Cancer via p73 Activation and Degradation of Mutant p53.

              The tumor-suppressor p53 prevents cancer development via initiating cell-cycle arrest, cell death, repair, or antiangiogenesis processes. Over 50% of human cancers harbor cancer-causing mutant p53. p53 mutations not only abrogate its tumor-suppressor function, but also endow mutant p53 with a gain of function (GOF), creating a proto-oncogene that contributes to tumorigenesis, tumor progression, and chemo- or radiotherapy resistance. Thus, targeting mutant p53 to restore a wild-type p53 signaling pathway provides an attractive strategy for cancer therapy. We demonstrate that small-molecule NSC59984 not only restores wild-type p53 signaling, but also depletes mutant p53 GOF. NSC59984 induces mutant p53 protein degradation via MDM2 and the ubiquitin-proteasome pathway. NSC59984 restores wild-type p53 signaling via p73 activation, specifically in mutant p53-expressing colorectal cancer cells. At therapeutic doses, NSC59984 induces p73-dependent cell death in cancer cells with minimal genotoxicity and without evident toxicity toward normal cells. NSC59984 synergizes with CPT11 to induce cell death in mutant p53-expressing colorectal cancer cells and inhibits mutant p53-associated colon tumor xenograft growth in a p73-dependent manner in vivo. We hypothesize that specific targeting of mutant p53 may be essential for anticancer strategies that involve the stimulation of p73 in order to efficiently restore tumor suppression. Taken together, our data identify NSC59984 as a promising lead compound for anticancer therapy that acts by targeting GOF-mutant p53 and stimulates p73 to restore the p53 pathway signaling.
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                Author and article information

                Journal
                Micromachines (Basel)
                Micromachines (Basel)
                micromachines
                Micromachines
                MDPI
                2072-666X
                18 February 2020
                February 2020
                : 11
                : 2
                : 208
                Affiliations
                [1 ]Department of Biomedical Engineering, Cornell University, Ithaca, NY 14853, USA; eem95@ 123456cornell.edu
                [2 ]Wake Forest Institute for Regenerative Medicine, Wake Forest School of Medicine, Winston Salem, NC 27101, USA; cuvan94@ 123456vt.edu (C.C.); kmyoo@ 123456wakehealth.edu (K.Y.); scrudle93@ 123456gmail.com (J.A.); shinyrajan88@ 123456gmail.com (S.A.P.R.); sforsyth@ 123456wakehealth.edu (S.F.); amazzocc@ 123456wakehealth.edu (A.M.)
                [3 ]Virginia Tech-Wake Forest School of Biomedical Engineering and Sciences, Winston-Salem, NC 27101, USA
                [4 ]Department of Biomedical Engineering, The Ohio State University, Columbus, OH 43210, USA; sugavanamsivakumar.1@ 123456osu.edu
                [5 ]The Ohio State University Comprehensive Cancer Center, Ohio State University Wexner Medical Center, Columbus, OH 43420, USA
                [6 ]Department of Cancer Biology, Wake Forest School of Medicine, Winston Salem, NC 27101, USA
                [7 ]Comprehensive Cancer Center at Wake Forest Baptist Medical Center, Winston-Salem, NC 27157, USA; alaxton@ 123456wakehealth.edu (A.W.L.); statter@ 123456wakehealth.edu (S.B.T.); rstrowd@ 123456wakehealth.edu (R.E.S.); kvotanop@ 123456wakehealth.edu (K.I.V.)
                [8 ]Department of Neurosurgery, Wake Forest Baptist Medical Center, Winston-Salem, NC 27157, USA
                [9 ]Department of Neuroscience, Wake Forest Baptist Medical Center, Winston-Salem, NC 27157, USA
                [10 ]Department of Surgery–Oncology, Wake Forest Baptist Medical Center, Winston-Salem, NC 27157, USA
                Author notes
                [* ]Correspondence: skardal.1@ 123456osu.edu ; Tel.: +1-614-247-8347
                [†]

                The authors contributed equally.

                Author information
                https://orcid.org/0000-0001-7530-3303
                https://orcid.org/0000-0003-4099-6642
                https://orcid.org/0000-0002-5534-9678
                https://orcid.org/0000-0001-6651-5267
                https://orcid.org/0000-0002-2138-2453
                Article
                micromachines-11-00208
                10.3390/mi11020208
                7074680
                32085455
                65318ebd-ccb0-479f-9f7e-0d2148ef8911
                © 2020 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 21 January 2020
                : 17 February 2020
                Categories
                Article

                bioprinting,bioink,extracellular matrix,cancer,organoid,drug screening,personalized medicine

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