Multimodal integration of transcriptomics, proteomics and radiomics improves prediction of recurrence in patients with IDH-mutant Glioma

Isocitrate dehydrogenase mutant gliomas remain lethal brain cancers which impair quality of life in young adults. These tumors are molecularly and cellularly heterogeneous and have a wide range of survival prognoses. Consequently, the identification of pa Here, we analyzed imaging, transcriptomic, and proteomic profiles using machine learning to 1) describe the biological characterization of subtypes of IDH-mutant gliomas categorized by PET and histology, 2) reinforce the integration of PET metrics in the Overall design: Patient samples were collected during tumor resection and snap-frozen. RNAs were isolated from 59 patients with IDH-mutant gliomas and subjected to RNA sequencing.