Maria Tsoli, Yongjuan Chen, Anjana Gopalakrishnan, Caitlin Ung, Aaminah Khan, Dannielle Upton, David S Ziegler
{"title":"利用立体定位装置建立患者来源的脑肿瘤同种移植模型。","authors":"Maria Tsoli, Yongjuan Chen, Anjana Gopalakrishnan, Caitlin Ung, Aaminah Khan, Dannielle Upton, David S Ziegler","doi":"10.3791/67349","DOIUrl":null,"url":null,"abstract":"<p><p>The development of clinically relevant and reliable models for central nervous system (CNS) tumors has been pivotal in advancing the field of neuro-oncology. One of the most widely used techniques is the orthotopic intracranial injection, a method that allows investigating of tumor growth, invasion, and dissemination within a controlled setting. This technique involves transplanting tumor cells from a specific patient region into the corresponding anatomical site in an animal. By doing so, these orthotopic brain tumor models offer a unique advantage, as they more accurately replicate cancer's biological behavior and its interactions with the brain environment seen in human patients. This makes them especially valuable for preclinical therapeutic testing, where a close resemblance to the clinical scenario is essential for evaluating potential treatments. This protocol shares experiences in developing patient-derived xenograft (PDX) models for pediatric brain tumors, including diffuse midline glioma (DMG), glioblastoma (GBM), medulloblastoma, and ependymoma. This method delineates the procedure for conducting intracranial stereotaxic injections in mice, ensuring the correct targeting of the injection site within the brain. Additionally, we describe the post-procedural monitoring system employed to detect signs of successful tumor engraftment. Following tumor injection, a rigorous monitoring system is implemented to observe the animals for any signs of neurological impairment, behavioral changes, and/or weight loss, which are common indicators of tumor progression. This system allows for timely intervention and provides critical data regarding the tumor's growth dynamics. By refining these models and protocols, we aim to enhance the reliability and translational potential of preclinical studies, contributing to the development of more effective treatments for pediatric CNS tumors.</p>","PeriodicalId":48787,"journal":{"name":"Jove-Journal of Visualized Experiments","volume":" 219","pages":""},"PeriodicalIF":1.2000,"publicationDate":"2025-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Establishment of Orthotopic Patient-derived Xenograft Models for Brain Tumors using a Stereotaxic Device.\",\"authors\":\"Maria Tsoli, Yongjuan Chen, Anjana Gopalakrishnan, Caitlin Ung, Aaminah Khan, Dannielle Upton, David S Ziegler\",\"doi\":\"10.3791/67349\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>The development of clinically relevant and reliable models for central nervous system (CNS) tumors has been pivotal in advancing the field of neuro-oncology. One of the most widely used techniques is the orthotopic intracranial injection, a method that allows investigating of tumor growth, invasion, and dissemination within a controlled setting. This technique involves transplanting tumor cells from a specific patient region into the corresponding anatomical site in an animal. By doing so, these orthotopic brain tumor models offer a unique advantage, as they more accurately replicate cancer's biological behavior and its interactions with the brain environment seen in human patients. This makes them especially valuable for preclinical therapeutic testing, where a close resemblance to the clinical scenario is essential for evaluating potential treatments. This protocol shares experiences in developing patient-derived xenograft (PDX) models for pediatric brain tumors, including diffuse midline glioma (DMG), glioblastoma (GBM), medulloblastoma, and ependymoma. This method delineates the procedure for conducting intracranial stereotaxic injections in mice, ensuring the correct targeting of the injection site within the brain. Additionally, we describe the post-procedural monitoring system employed to detect signs of successful tumor engraftment. Following tumor injection, a rigorous monitoring system is implemented to observe the animals for any signs of neurological impairment, behavioral changes, and/or weight loss, which are common indicators of tumor progression. This system allows for timely intervention and provides critical data regarding the tumor's growth dynamics. By refining these models and protocols, we aim to enhance the reliability and translational potential of preclinical studies, contributing to the development of more effective treatments for pediatric CNS tumors.</p>\",\"PeriodicalId\":48787,\"journal\":{\"name\":\"Jove-Journal of Visualized Experiments\",\"volume\":\" 219\",\"pages\":\"\"},\"PeriodicalIF\":1.2000,\"publicationDate\":\"2025-05-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Jove-Journal of Visualized Experiments\",\"FirstCategoryId\":\"103\",\"ListUrlMain\":\"https://doi.org/10.3791/67349\",\"RegionNum\":4,\"RegionCategory\":\"综合性期刊\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"MULTIDISCIPLINARY SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Jove-Journal of Visualized Experiments","FirstCategoryId":"103","ListUrlMain":"https://doi.org/10.3791/67349","RegionNum":4,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"MULTIDISCIPLINARY SCIENCES","Score":null,"Total":0}
Establishment of Orthotopic Patient-derived Xenograft Models for Brain Tumors using a Stereotaxic Device.
The development of clinically relevant and reliable models for central nervous system (CNS) tumors has been pivotal in advancing the field of neuro-oncology. One of the most widely used techniques is the orthotopic intracranial injection, a method that allows investigating of tumor growth, invasion, and dissemination within a controlled setting. This technique involves transplanting tumor cells from a specific patient region into the corresponding anatomical site in an animal. By doing so, these orthotopic brain tumor models offer a unique advantage, as they more accurately replicate cancer's biological behavior and its interactions with the brain environment seen in human patients. This makes them especially valuable for preclinical therapeutic testing, where a close resemblance to the clinical scenario is essential for evaluating potential treatments. This protocol shares experiences in developing patient-derived xenograft (PDX) models for pediatric brain tumors, including diffuse midline glioma (DMG), glioblastoma (GBM), medulloblastoma, and ependymoma. This method delineates the procedure for conducting intracranial stereotaxic injections in mice, ensuring the correct targeting of the injection site within the brain. Additionally, we describe the post-procedural monitoring system employed to detect signs of successful tumor engraftment. Following tumor injection, a rigorous monitoring system is implemented to observe the animals for any signs of neurological impairment, behavioral changes, and/or weight loss, which are common indicators of tumor progression. This system allows for timely intervention and provides critical data regarding the tumor's growth dynamics. By refining these models and protocols, we aim to enhance the reliability and translational potential of preclinical studies, contributing to the development of more effective treatments for pediatric CNS tumors.
期刊介绍:
JoVE, the Journal of Visualized Experiments, is the world''s first peer reviewed scientific video journal. Established in 2006, JoVE is devoted to publishing scientific research in a visual format to help researchers overcome two of the biggest challenges facing the scientific research community today; poor reproducibility and the time and labor intensive nature of learning new experimental techniques.