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Genetically engineered cerebral organoids model brain tumor formation.
Literature Information
| DOI | 10.1038/s41592-018-0070-7 |
|---|---|
| PMID | 30038414 |
| Journal | Nature methods |
| Impact Factor | 32.1 |
| JCR Quartile | Q1 |
| Publication Year | 2018 |
| Times Cited | 212 |
| Keywords | Genetically engineered, brain tumor, neoplastic cerebral organoid, CRISPR-Cas9, 3D culture model |
| Literature Type | Journal Article, Research Support, Non-U.S. Gov't |
| ISSN | 1548-7091 |
| Pages | 631-639 |
| Issue | 15(8) |
| Authors | Shan Bian, Marko Repic, Zhenming Guo, Anoop Kavirayani, Thomas Burkard, Joshua A Bagley, Christian Krauditsch, Jürgen A Knoblich |
TL;DR
This study introduces a novel 3D organoid model, the neoplastic cerebral organoid (neoCOR), which successfully mimics brain tumorigenesis by incorporating specific oncogenic mutations through advanced genetic techniques. The neoCOR model not only enhances the understanding of tumor biology and invasiveness but also serves as a valuable tool for evaluating drug responses in brain tumor research, addressing the limitations of existing models.
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Genetically engineered · brain tumor · neoplastic cerebral organoid · CRISPR-Cas9 · 3D culture model
Abstract
Brain tumors are among the most lethal and devastating cancers. Their study is limited by genetic heterogeneity and the incompleteness of available laboratory models. Three-dimensional organoid culture models offer innovative possibilities for the modeling of human disease. Here we establish a 3D in vitro model called a neoplastic cerebral organoid (neoCOR), in which we recapitulate brain tumorigenesis by introducing oncogenic mutations in cerebral organoids via transposon- and CRISPR-Cas9-mediated mutagenesis. By screening clinically relevant mutations identified in cancer genome projects, we defined mutation combinations that result in glioblastoma-like and central nervous system primitive neuroectodermal tumor (CNS-PNET)-like neoplasms. We demonstrate that neoCORs are suitable for use in investigations of aspects of tumor biology such as invasiveness, and for evaluation of drug effects in the context of specific DNA aberrations. NeoCORs will provide a valuable complement to the current basic and preclinical models used to study brain tumor biology.
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Primary Questions Addressed
- How do the specific oncogenic mutations introduced in neoCORs compare to those found in actual brain tumors?
- What are the potential implications of using neoCORs for personalized medicine in brain tumor treatment?
- In what ways can neoCORs be utilized to study the interactions between tumor cells and the surrounding brain microenvironment?
- How do the findings from neoCORs align with current understanding of glioblastoma progression and treatment resistance?
- What advancements in CRISPR-Cas9 technology could further enhance the modeling of brain tumors using cerebral organoids?
Key Findings
Research Background and Objectives
Brain tumors are among the most lethal cancers, presenting significant challenges due to their genetic heterogeneity and the limitations of existing laboratory models. The objective of this study was to develop a three-dimensional (3D) organoid culture model, termed neoplastic cerebral organoid (neoCOR), to better mimic brain tumorigenesis and facilitate the study of brain tumors, particularly glioblastoma and CNS primitive neuroectodermal tumors (CNS-PNET).
Main Methods/Materials/Experimental Design
The study employed a novel approach combining transposon and CRISPR-Cas9 technologies to introduce specific oncogenic mutations into cerebral organoids. This process allowed for the creation of 3D organoid models that accurately reflect the genetic alterations associated with brain tumors.
Experimental Workflow
Key Results and Findings
- Development of neoCORs: The study successfully established neoCORs that mimic glioblastoma-like and CNS-PNET-like tumors through targeted genetic modifications.
- Mutation Combinations: Specific combinations of mutations were identified that are relevant to tumorigenesis in brain cancers.
- Functional Assessments: The neoCORs demonstrated suitability for studying tumor biology, including invasiveness, and for evaluating the effects of various therapeutic agents in the context of defined DNA aberrations.
Main Conclusions/Significance/Innovativeness
The development of neoCORs represents a significant advancement in the modeling of brain tumors, providing a more accurate and functional platform for studying tumor biology and testing therapeutic interventions. This model offers a promising tool for researchers to explore the complexities of brain tumorigenesis and to develop targeted treatments.
Research Limitations and Future Directions
- Limitations: The study acknowledges potential limitations, such as the need for further validation of neoCORs in vivo and the complexity of fully replicating the tumor microenvironment.
- Future Directions: Future research could focus on refining the neoCOR model to include additional genetic and environmental factors, exploring its use in personalized medicine, and integrating it with other model systems for comprehensive cancer research.
References
- Primate-specific endogenous retrovirus-driven transcription defines naive-like stem cells. - Jichang Wang;Gangcai Xie;Manvendra Singh;Avazeh T Ghanbarian;Tamás Raskó;Attila Szvetnik;Huiqiang Cai;Daniel Besser;Alessandro Prigione;Nina V Fuchs;Gerald G Schumann;Wei Chen;Matthew C Lorincz;Zoltán Ivics;Laurence D Hurst;Zsuzsanna Izsvák - Nature (2014)
- An Organoid-Based Model of Cortical Development Identifies Non-Cell-Autonomous Defects in Wnt Signaling Contributing to Miller-Dieker Syndrome. - Vira Iefremova;George Manikakis;Olivia Krefft;Ammar Jabali;Kevin Weynans;Ruven Wilkens;Fabio Marsoner;Björn Brändl;Franz-Josef Müller;Philipp Koch;Julia Ladewig - Cell reports (2017)
- The 2016 World Health Organization Classification of Tumors of the Central Nervous System: a summary. - David N Louis;Arie Perry;Guido Reifenberger;Andreas von Deimling;Dominique Figarella-Branger;Webster K Cavenee;Hiroko Ohgaki;Otmar D Wiestler;Paul Kleihues;David W Ellison - Acta neuropathologica (2016)
- Expression of estrogen and progesterone receptors in astrocytomas: a literature review. - Cléciton Braga Tavares;Francisca das Chagas Sheyla Almeida Gomes-Braga;Danylo Rafhael Costa-Silva;Carla Solange Escórcio-Dourado;Umbelina Soares Borges;Airton Mendes Conde-Junior;Maria da Conceição Barros-Oliveira;Emerson Brandão Sousa;Lorena da Rocha Barros;Luana Mota Martins;Gil Facina;Benedito Borges da-Silva - Clinics (Sao Paulo, Brazil) (2016)
- Pten haploinsufficiency accelerates formation of high-grade astrocytomas. - Chang-Hyuk Kwon;Dawen Zhao;Jian Chen;Sheila Alcantara;Yanjiao Li;Dennis K Burns;Ralph P Mason;Eva Y-H P Lee;Hong Wu;Luis F Parada - Cancer research (2008)
- Early inactivation of p53 tumor suppressor gene cooperating with NF1 loss induces malignant astrocytoma. - Yuan Zhu;Frantz Guignard;Dawen Zhao;Li Liu;Dennis K Burns;Ralph P Mason;Albee Messing;Luis F Parada - Cancer cell (2005)
- Differential expression of HIF-1 in glioblastoma multiforme and anaplastic astrocytoma. - Arnulf Mayer;Fabienne Schneider;Peter Vaupel;Clemens Sommer;Heinz Schmidberger - International journal of oncology (2012)
- Genome engineering using the CRISPR-Cas9 system. - F Ann Ran;Patrick D Hsu;Jason Wright;Vineeta Agarwala;David A Scott;Feng Zhang - Nature protocols (2013)
- An Ectopic Network of Transcription Factors Regulated by Hippo Signaling Drives Growth and Invasion of a Malignant Tumor Model. - Mardelle Atkins;Delphine Potier;Lucia Romanelli;Jelle Jacobs;Jana Mach;Fisun Hamaratoglu;Stein Aerts;Georg Halder - Current biology : CB (2016)
- Epithelial-mesenchymal transition in glioblastoma progression. - Yasuo Iwadate - Oncology letters (2016)
Literatures Citing This Work
- From Neuronal Differentiation of iPSCs to 3D Neuro-Organoids: Modelling and Therapy of Neurodegenerative Diseases. - Matteo Bordoni;Federica Rey;Valentina Fantini;Orietta Pansarasa;Anna Maria Di Giulio;Stephana Carelli;Cristina Cereda - International journal of molecular sciences (2018)
- Constructing and Deconstructing Cancers using Human Pluripotent Stem Cells and Organoids. - Ryan C Smith;Viviane Tabar - Cell stem cell (2019)
- Assessment of somatic single-nucleotide variation in brain tissue of cases with schizophrenia. - John F Fullard;Alexander W Charney;Georgios Voloudakis;Andrew V Uzilov;Vahram Haroutunian;Panos Roussos - Translational psychiatry (2019)
- 3D Bioprinted In Vitro Metastatic Models via Reconstruction of Tumor Microenvironments. - Fanben Meng;Carolyn M Meyer;Daeha Joung;Daniel A Vallera;Michael C McAlpine;Angela Panoskaltsis-Mortari - Advanced materials (Deerfield Beach, Fla.) (2019)
- Induced pluripotent stem cells in disease modelling and drug discovery. - R Grant Rowe;George Q Daley - Nature reviews. Genetics (2019)
- Using miniature brain implants in rodents for novel drug discovery. - Ben Waldau - Expert opinion on drug discovery (2019)
- The Use of Pluripotent Stem Cell-Derived Organoids to Study Extracellular Matrix Development during Neural Degeneration. - Yuanwei Yan;Julie Bejoy;Mark Marzano;Yan Li - Cells (2019)
- Brain organoids: advances, applications and challenges. - Xuyu Qian;Hongjun Song;Guo-Li Ming - Development (Cambridge, England) (2019)
- Bioengineering an Artificial Human Blood⁻Brain Barrier in Rodents. - Kimia Kamal;Ben Waldau - Bioengineering (Basel, Switzerland) (2019)
- Glioblastoma stem cells: lessons from the tumor hierarchy in a lethal cancer. - Ryan C Gimple;Shruti Bhargava;Deobrat Dixit;Jeremy N Rich - Genes & development (2019)
... (202 more literatures)
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