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MR elastography identifies regions of extracellular matrix reorganization associated with shorter survival in glioblastoma patients.
Svensson, Siri Fløgstad; Halldórsson, Skarphéðinn; Latysheva, Anna; Fuster-Garcia, Elies; Hjørnevik, Trine; Fraser-Green, Jorunn; Birkeland Bugge, Robin Anthony; Grinband, Jack; Holm, Sverre; Sinkus, Ralph; Vik-Mo, Einar Osland; Emblem, Kyrre Eeg.
Afiliación
  • Svensson SF; Department of Physics and Computational Radiology, Division of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway.
  • Halldórsson S; Department of Physics, University of Oslo, Oslo, Norway.
  • Latysheva A; Vilhelm Magnus Laboratory, Department of Neurosurgery, Oslo University Hospital, Oslo, Norway.
  • Fuster-Garcia E; Department of Radiology, Division of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway.
  • Hjørnevik T; Department of Physics and Computational Radiology, Division of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway.
  • Fraser-Green J; BDSLab, Instituto Universitario de Tecnologías de la Información y Comunicaciones, Universitat Politècnica de València, València, Spain.
  • Birkeland Bugge RA; Department of Physics and Computational Radiology, Division of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway.
  • Grinband J; The Intervention Center, Division for Technology and Innovation, Oslo University Hospital, Oslo, Norway.
  • Holm S; Department of Physics and Computational Radiology, Division of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway.
  • Sinkus R; Department of Radiology, Columbia University, New York, USA.
  • Vik-Mo EO; Department of Psychiatry, Columbia University, New York, USA.
  • Emblem KE; Department of Physics, University of Oslo, Oslo, Norway.
Neurooncol Adv ; 5(1): vdad021, 2023.
Article en En | MEDLINE | ID: mdl-37066109
ABSTRACT

Background:

Biomechanical tissue properties of glioblastoma tumors are heterogeneous, but the molecular mechanisms involved and the biological implications are poorly understood. Here, we combine magnetic resonance elastography (MRE) measurement of tissue stiffness with RNA sequencing of tissue biopsies to explore the molecular characteristics of the stiffness signal.

Methods:

MRE was performed preoperatively in 13 patients with glioblastoma. Navigated biopsies were harvested during surgery and classified as "stiff" or "soft" according to MRE stiffness measurements (|G*|norm). Twenty-two biopsies from eight patients were analyzed by RNA sequencing.

Results:

The mean whole-tumor stiffness was lower than normal-appearing white matter. The surgeon's stiffness evaluation did not correlate with the MRE measurements, which suggests that these measures assess different physiological properties. Pathway analysis of the differentially expressed genes between "stiff" and "soft" biopsies showed that genes involved in extracellular matrix reorganization and cellular adhesion were overexpressed in "stiff" biopsies. Supervised dimensionality reduction identified a gene expression signal separating "stiff" and "soft" biopsies. Using the NIH Genomic Data Portal, 265 glioblastoma patients were divided into those with (n = 63) and without (n = 202) this gene expression signal. The median survival time of patients with tumors expressing the gene signal associated with "stiff" biopsies was 100 days shorter than that of patients not expressing it (360 versus 460 days, hazard ratio 1.45, P < .05).

Conclusion:

MRE imaging of glioblastoma can provide noninvasive information on intratumoral heterogeneity. Regions of increased stiffness were associated with extracellular matrix reorganization. An expression signal associated with "stiff" biopsies correlated with shorter survival of glioblastoma patients.
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Texto completo: 1 Bases de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Neurooncol Adv Año: 2023 Tipo del documento: Article País de afiliación: Noruega

Texto completo: 1 Bases de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Neurooncol Adv Año: 2023 Tipo del documento: Article País de afiliación: Noruega