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Revealing the biology behind MRI signatures in high grade glioma.
Lewis, Erika M; Mao, Lingchao; Wang, Lujia; Swanson, Kristin R; Barajas, Ramon F; Li, Jing; Tran, Nhan L; Hu, Leland S; Plaisier, Christopher L.
Afiliación
  • Lewis EM; School of Biological and Health Systems Engineering, Arizona State University, Tempe, AZ, 85287, USA.
  • Mao L; H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, GA, 30332, USA.
  • Wang L; H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, GA, 30332, USA.
  • Swanson KR; Mathematical Neuro-Oncology Lab, Department of Neurological Surgery, Mayo Clinic, Phoenix, AZ, 85054, USA.
  • Barajas RF; Department of Neurosurgery, Mayo Clinic, Phoenix, AZ, 85054, USA.
  • Li J; Advanced Imaging Research Center, Oregon Health & Sciences University, USA.
  • Tran NL; Department of Radiology, Neuroradiology Section, Oregon Health & Sciences University, USA.
  • Hu LS; Knight Cancer Institute, Oregon Health & Sciences University, USA.
  • Plaisier CL; H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, GA, 30332, USA.
medRxiv ; 2023 Dec 15.
Article en En | MEDLINE | ID: mdl-38168377
ABSTRACT
Magnetic resonance imaging (MRI) measurements are routinely collected during the treatment of high-grade gliomas (HGGs) to characterize tumor boundaries and guide surgical tumor resection. Using spatially matched MRI and transcriptomics we discovered HGG tumor biology captured by MRI measurements. We strategically overlaid the spatially matched omics characterizations onto a pre-existing transcriptional map of glioblastoma multiforme (GBM) to enhance the robustness of our analyses. We discovered that T1+C measurements, designed to capture vasculature and blood brain barrier (BBB) breakdown and subsequent contrast extravasation, also indirectly reveal immune cell infiltration. The disruption of the vasculature and BBB within the tumor creates a permissive infiltrative environment that enables the transmigration of anti-inflammatory macrophages into tumors. These relationships were validated through histology and enrichment of genes associated with immune cell transmigration and proliferation. Additionally, T2-weighted (T2W) and mean diffusivity (MD) measurements were associated with angiogenesis and validated using histology and enrichment of genes involved in neovascularization. Furthermore, we establish an unbiased approach for identifying additional linkages between MRI measurements and tumor biology in future studies, particularly with the integration of novel MRI techniques. Lastly, we illustrated how noninvasive MRI can be used to map HGG biology spatially across a tumor, and this provides a platform to develop diagnostics, prognostics, or treatment efficacy biomarkers to improve patient outcomes.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: MedRxiv Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: MedRxiv Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos