LAUSR

Glioma is the most common primary tumor in the central nervous system (CNS) with the worst prognosis. Accurate pathological diagnosis has always been a challenge for optimal management of glioma. Promoter methylation is an important mechanism of epigenetic silencing tumor-suppressor genes and a potential biomarker for differential diagnosis and prognosis. Herein, using the cationic conjugated polymer (CCP)-based fluorescence resonance energy transfer (FRET) technique, we realized a highly sensitive detection of promoter methylation in clinical samples of minimal methylation degree (1.25%) and trace DNA quantity (10 ng/μL). Results for three glioma-related genes (MGMT, CDKN2A, and TERT) were combined in a diagnostic classifier to analyze the glioma-CpG island methylator phenotype (G-CIMP), which achieved a sensitivity of 80% at a maximum specificity of 100% for a glioma diagnosis. Kaplan-Meier survival curves and Pearson correlation analysis revealed that the prognosis of glioma patients with high G-CIMP scores (>5) was significantly better than those with low G-CIMP scores, especially in diffuse midline glioma and astrocytoma. This CCP-based FRET technique for determining G-CIMP status could provide patients with rapid and reasonably accurate diagnosis of glioma, as well as a valuable prognostic prediction that can guide individual treatment.