APTw CEST MRI in therapy-naive IDH-wildtype glioblastoma: insights into tumor heterogeneity and molecular subtypes.
Authors
Affiliations (11)
Affiliations (11)
- Department of Neurooncology, Center for Neurology and integrated Oncology (CIO), University Hospital Bonn, Bonn, Germany. [email protected].
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.
- Department of Neuroradiology, University Hospital Bonn, Bonn, Germany.
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, USA.
- Department of Neurooncology, Center for Neurology and integrated Oncology (CIO), University Hospital Bonn, Bonn, Germany.
- Institute of Neuropathology, University Hospital Bonn, Bonn, Germany.
- Institute of Experimental Oncology, University Hospital Bonn, Bonn, Germany.
- Department of Radiation Oncology, Heidelberg University Hospital, Heidelberg, Germany.
- Institute for Applied Mathematics, University of Bonn, Bonn, Germany.
- Department of Neuroradiology, University Hospital Bonn, Bonn, Germany. [email protected].
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, USA. [email protected].
Abstract
Advanced MRI techniques may provide non-invasive insight into the molecular heterogeneity of glioblastoma. Amide proton transfer-weighted (APTw) chemical exchange saturation transfer (CEST) MRI reflects endogenous protein and peptide content, but its clinical and molecular correlates in therapy-naive glioblastoma, IDH-wildtype, remain incompletely understood. This retrospective single-center study included 53 adult patients with therapy-naive glioblastoma, IDH-wildtype, who underwent preoperative APTw MRI. Median time between imaging and tissue sampling was two days. Median and 90th percentile (p90) APTw signal intensities were extracted from contrast-enhancing (T1-CE) tumor regions and FLAIR-hyperintense regions using automated deep learning-based segmentation with manual quality control. Histological and molecular analyses included MGMT promoter methylation, Ki-67 index, and DNA methylation-based subclassification. Associations were assessed using non-parametric tests, multivariable linear regression, and Cox regression analyses. APTw signal intensity was significantly higher in T1-CE tumor regions than in FLAIR-hyperintense regions (p < 0.0001). Within the T1-CE region, higher APTw signal intensity was modestly associated with younger age. Glioblastomas of the mesenchymal methylation subtype demonstrated significantly higher median and p90 APTw signal intensity compared with RTK1 and RTK2 subtypes, independent of MGMT status and Ki-67 index. APTw signal intensity was not independently associated with PFS or OS. APTw CEST MRI reflects molecular heterogeneity in therapy-naive IDH-wildtype glioblastoma, with potentially increased signal intensity in the mesenchymal subtype. These findings support its possible role as a complementary imaging biomarker for non-invasive molecular characterization.