Sexually dimorphic radiogenomic models identify distinct imaging and biological pathways that are prognostic of overall survival in glioblastoma
Abstract
Recent epidemiological studies have suggested that sexual dimorphism influences treatment response and prognostic outcome in glioblastoma (GBM). To this end, we sought to (i) identify distinct sex-specific radiomic phenotypes—from tumor subcompartments (peritumoral edema, enhancing tumor, and necrotic core) using pretreatment MRI scans—that are prognostic of overall survival (OS) in GBMs, and (ii) investigate radiogenomic associations of the MRI-based phenotypes with corresponding transcriptomic data, to identify the signaling pathways that drive sex-specific tumor biology and treatment response in GBM.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Oct 17, 2020
- Source ID
- 10.1093/neuonc/noaa231
Entities
People
- Addison Barnett
- Anant Madabhushi
- Anas Saeed Bamashmos
- Gagandeep Singh
- Jonathan Chen
- Kaustav Bera
- Kyle Hunter
- Manmeet S Ahluwalia
- Niha Beig
- Pallavi Tiwari
- Prateek Prasanna
- Salendra Singh
- Vinay Varadan
- Virginia B Hill
- Volodymyr Statsevych
Organizations
- Case Western Reserve University
- Cleveland Clinic
- National Cancer Institute
- National Center for Research Resources
- National Institute of Biomedical Imaging and Bioengineering
- National Institute of Diabetes and Digestive and Kidney Diseases
- National Institutes of Health
- Newark Beth Israel Medical Center
- Northwestern University
- Stony Brook University