2024/11/16 by Stéfano M. Cirigliano, Howard A. Fine · 1 voice
Biochemistry, Genetics and Molecular Biology · Medicine · #Cancer Cells and Metastasis #Cell Image Analysis Techniques #Glioma Diagnosis and Treatment
paper · doi:10.1084/jem.20220808
openalex publication_date 2024/11/16 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/01
Recent advances in cancer biology and therapeutics have underscored the importance of preclinical models in understanding and treating cancer. Nevertheless, current models often fail to capture the complexity and patient-specific nature of human tumors, particularly gliomas. This review examines the strengths and weaknesses of such models, highlighting the need for a new generation of models. Emphasizing the critical role of the tumor microenvironment, tumor, and patient heterogeneity, we propose integrating our advanced understanding of glioma biology with innovative bioengineering and AI technologies to create more clinically relevant, patient-specific models. These innovations are essential for improving therapeutic development and patient outcomes.