Metabonomic Profiling of a Mouse Glioma Recurrence Model: Insights into Tumor Metabolism and Therapeutic Response

This dataset presents a comprehensive metabonomic analysis of a mouse glioma recurrence model, focusing on the metabolic alterations associated with tumor progression and therapeutic intervention. The study employs an in situ glioma model in mice, with tumor tissues collected at two critical time points: pre-treatment (Day 7) and post-treatment (Day 21) following temozolomide (TMZ) administration (20 mg/kg). Utilizing a widely targeted metabolomics approach, the dataset encompasses full-spectrum metabolic profiling conducted on an ultra-performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS) platform. The integration of a custom-built metabolite database and multivariate statistical analysis reveals significant metabolic shifts, providing valuable insights into the mechanisms of glioma recurrence and the metabolic response to TMZ therapy. This dataset serves as a resource for researchers exploring glioma metabolism, drug resistance, and potential therapeutic targets.