Meningioma animal models: a systematic review and meta-analysis

被引:2
|
作者
Andersen, Mikkel Schou [1 ,2 ,9 ]
Kofoed, Mikkel Seremet [1 ,2 ,9 ]
Paludan-Mueller, Asger Sand [3 ,10 ,11 ]
Pedersen, Christian Bonde [1 ,2 ,9 ]
Mathiesen, Tiit [4 ]
Mawrin, Christian [5 ]
Wirenfeldt, Martin [6 ,12 ]
Kristensen, Bjarne Winther [7 ]
Olsen, Birgitte Brinkmann [8 ,13 ]
Halle, Bo [1 ,2 ,9 ]
Poulsen, Frantz Rom [1 ,2 ,9 ]
机构
[1] Odense Univ Hosp, Dept Neurosurg, Odense, Denmark
[2] Univ Southern Denmark, BRIDGE Brain Res Inter Disciplinary Guided Excelle, Odense, Denmark
[3] Univ Copenhagen, Nord Cochrane Ctr, Rigshosp, Copenhagen, Denmark
[4] Copenhagen Univ Hosp, Dept Neurosurg, Rigshosp, Copenhagen, Denmark
[5] Otto Von Guericke Univ, Dept Neuropathol, Magdeburg, Germany
[6] Hosp South West Jutland, Dept Pathol & Mol Biol, Esbjerg, Denmark
[7] Univ Copenhagen, Dept Neuropathol, Rigshosp, Copenhagen, Denmark
[8] Odense Univ Hosp, Clin Physiol & Nucl Med, Odense, Denmark
[9] Univ Southern Denmark, Dept Clin Res, Odense, Denmark
[10] Ctr Evidence Based Med Odense CEBMO, Copenhagen, Denmark
[11] NHTA Market Access & Hlth Econ Consultancy, Copenhagen, Denmark
[12] Univ Southern, Dept Reg Hlth Res, Odense, Denmark
[13] Zealand Univ Hosp, Dept Surg Pathol, Roskilde, Denmark
关键词
Meningioma animal model; Xenograft; Genetically engineered model; Systematic review; Meta-analysis; UROKINASE PLASMINOGEN-ACTIVATOR; ENDOTHELIAL GROWTH-FACTOR; MALIGNANT MENINGIOMA; IN-VIVO; TUMOR-GROWTH; CELL-LINE; NERVOUS-SYSTEM; MOUSE MODELS; INTRACRANIAL INJECTION; REFRACTORY MENINGIOMA;
D O I
10.1186/s12967-023-04620-7
中图分类号
R-3 [医学研究方法]; R3 [基础医学];
学科分类号
1001 ;
摘要
BackgroundAnimal models are widely used to study pathological processes and drug (side) effects in a controlled environment. There is a wide variety of methods available for establishing animal models depending on the research question. Commonly used methods in tumor research include xenografting cells (established/commercially available or primary patient-derived) or whole tumor pieces either orthotopically or heterotopically and the more recent genetically engineered models-each type with their own advantages and disadvantages. The current systematic review aimed to investigate the meningioma model types used, perform a meta-analysis on tumor take rate (TTR), and perform critical appraisal of the included studies. The study also aimed to assess reproducibility, reliability, means of validation and verification of models, alongside pros and cons and uses of the model types.MethodsWe searched Medline, Embase, and Web of Science for all in vivo meningioma models. The primary outcome was tumor take rate. Meta-analysis was performed on tumor take rate followed by subgroup analyses on the number of cells and duration of incubation. The validity of the tumor models was assessed qualitatively. We performed critical appraisal of the methodological quality and quality of reporting for all included studies.ResultsWe included 114 unique records (78 using established cell line models (ECLM), 21 using primary patient-derived tumor models (PTM), 10 using genetically engineered models (GEM), and 11 using uncategorized models). TTRs for ECLM were 94% (95% CI 92-96) for orthotopic and 95% (93-96) for heterotopic. PTM showed lower TTRs [orthotopic 53% (33-72) and heterotopic 82% (73-89)] and finally GEM revealed a TTR of 34% (26-43).ConclusionThis systematic review shows high consistent TTRs in established cell line models and varying TTRs in primary patient-derived models and genetically engineered models. However, we identified several issues regarding the quality of reporting and the methodological approach that reduce the validity, transparency, and reproducibility of studies and suggest a high risk of publication bias. Finally, each tumor model type has specific roles in research based on their advantages (and disadvantages).Systematic review registration: PROSPERO-ID CRD42022308833.ConclusionThis systematic review shows high consistent TTRs in established cell line models and varying TTRs in primary patient-derived models and genetically engineered models. However, we identified several issues regarding the quality of reporting and the methodological approach that reduce the validity, transparency, and reproducibility of studies and suggest a high risk of publication bias. Finally, each tumor model type has specific roles in research based on their advantages (and disadvantages).Systematic review registration: PROSPERO-ID CRD42022308833.
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页数:38
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