Modeling Brain Tumors: A Perspective Overview of in vivo and Organoid Models

Brain tumors are a large and heterogeneous group of neoplasms that affect the central nervous system and include some of the deadliest cancers. Almost all the conventional and new treatments fail to hinder tumoral growth of the most malignant brain tumors. This is due to multiple factors, such as intra-tumor heterogeneity, the microenvironmental properties of the human brain, and the lack of reliable models to test new therapies. Therefore, creating faithful models for each tumor and discovering tailored treatments pose great challenges in the fight against brain cancer. Over the years, different types of models have been generated, and, in this review, we investigated the advantages and disadvantages of the models currently used.

Automated summary

Brain tumors are a diverse group of neoplasms that have a significant impact on the central nervous system and includes some of the most deadly cancers. Current treatments have limited success in inhibiting the growth of the most malignant brain tumors due to various factors. Therefore, the creation of reliable models for each tumor and the discovery of personalized treatments present major challenges in the fight against brain cancer.