Literature DB >> 32553284

Preclinical models of meningioma: Cell culture and animal systems.

Abrar Choudhury1, David R Raleigh2.   

Abstract

Meningioma is the most common primary intracranial tumor; yet there are no effective systemic or molecular therapies for meningioma patients. One of the primary barriers to understanding meningioma biology and identifying novel therapeutic targets is the lack of tractable preclinical models. While numerous model systems have been created for meningioma, many have fundamental drawbacks. This chapter details the strengths and limitations of existing meningioma models and suggests possible future model systems. Cell culture meningioma models consist of human meningioma cell lines derived from tumor resection specimens, but unfortunately, in vitro systems do not capture the histologic architecture, the tumor microenvironment, or the heterogeneity of meningiomas. Mouse meningioma systems range from genetically engineered mouse models (GEMMs) to patient-derived xenografts (PDXs) and overcome some of the limitations of cultured meningioma cells. However, many in vivo systems have poor reproducibility or fail to recapitulate important aspects of meningioma biology, such as tumor latency. Despite these drawbacks, new discoveries in meningioma biology and advances in the technologies used to develop model systems provide hope that more representative models of meningioma will be developed in the near future.
Copyright © 2020 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Animal models; Cell culture; Cell lines; Meningioma; Mouse models; Preclinical models

Mesh:

Year:  2020        PMID: 32553284     DOI: 10.1016/B978-0-12-804280-9.00008-1

Source DB:  PubMed          Journal:  Handb Clin Neurol        ISSN: 0072-9752


  1 in total

Review 1.  Advances in Molecular Biological and Translational Studies in World Health Organization Grades 2 and 3 Meningiomas: A Literature Review.

Authors:  Atsushi Okano; Satoru Miyawaki; Yu Teranishi; Kenta Ohara; Hiroki Hongo; Yu Sakai; Daiichiro Ishigami; Hirofumi Nakatomi; Nobuhito Saito
Journal:  Neurol Med Chir (Tokyo)       Date:  2022-07-22       Impact factor: 2.036

  1 in total

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