Ying Zhang

This paper introduces GlioME, a patient-derived glioma organoid model that retains the tumor microenvironment, showing high responsiveness to chemotherapy and accurately predicting patient response to vebreltinib.

The paper introduces the Chinese Glioma Genome Atlas (CGGA), a resource providing genomic and clinical data for glioma patients, along with analysis tools for data exploration and research.

This study identifies MET gene alterations in gliomas and shows that these alterations are associated with better response to MET inhibitors.