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Mapping Tumor Habitats in IDH-Wild Type Glioblastoma: Integrating MR Imaging, Pathologic, and RNA Data from Ivy Glioblastoma Atlas Project.
Park, Ji Eun; Oh, Joo Young; Park, Do Hoon; Lee, Ho-Su; Yoon, Shinkyo; Kim, Nak Young; Park, Seo Young; Song, Sang Woo; Kim, Young-Hoon; Hong, Chang-Ki; Kim, Jeong Hoon; Kim, Ho Sung.
Afiliação
  • Park JE; Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, South Korea.
  • Oh JY; Department of Radiation Oncology, Yonsei Cancer Center, Seoul, South Korea.
  • Park DH; Department of Biochemistry and Molecular Biology, Asan Medical Center, Brain Korea 21 Project, University of Ulsan College of Medicine, Seoul, South Korea.
  • Lee HS; Department of Biochemistry and Molecular Biology, Asan Medical Center, Brain Korea 21 Project, University of Ulsan College of Medicine, Seoul, South Korea.
  • Yoon S; Department of Oncology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea.
  • Kim NY; Dynapex, LLC, Seoul, Korea.
  • Park SY; Department of Statistics and Data Science, Korea National Open University, Seoul, Korea.
  • Song SW; Department of Neurosurgery, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea.
  • Kim YH; Department of Neurosurgery, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea.
  • Hong CK; Department of Neurosurgery, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea.
  • Kim JH; Department of Neurosurgery, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea.
  • Kim HS; Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, South Korea.
Neuro Oncol ; 2024 Aug 23.
Article em En | MEDLINE | ID: mdl-39177498
ABSTRACT

BACKGROUND:

To spatially validate intratumoral subregions (tumor habitat) using physiologic MRI on pathology of the isocitrate dehydrogenase (IDH)-wildtype whole-glioblastoma sample.

METHODS:

Data of 20 patients (168 slides) were obtained from the Ivy Glioblastoma Atlas Project. On MRI, tumor habitats were defined using voxel-wise clustering of apparent diffusion coefficient (ADC) and cerebral blood volume (CBV) maps for contrast-enhancing lesion (CEL) and non-enhancing lesion (NEL). On pathology slides, normalized areas of leading edge (LE), infiltrating tumor (IT), cellular tumor (CT), hypervascular lesion (CThypervascular), and perinecrotic lesion (CTperinecrotic) were obtained. Gross specimen was co-registered on MRI and correlation between pathology-MRI habitats was calculated. RNA sequencing of 67 samples was assessed using 4 Neftel subtypes and further correlated with pathology.

RESULTS:

Six tumor habitats were identified hypervascular, hypovascular cellular, and hypovascular hypocellular habitats for CEL and NEL. CT was correlated with hypovascular cellular habitat in CEL (r= 0.238, p =.005). IT was correlated with hypovascular cellular habitat in NEL (r= 0.294, p =.017). CThypervascular was correlated with hypervascular habitat in NEL (r= 0.195, p = .023). CTperinecrotic was correlated with imaging necrosis (r= 0.199, p =.005). Astrocyte-like subtypes were correlated with IT (r= 0.256, p <.001), while mesenchymal-like subtypes were correlated with CTperinecrotic area (r= 0.246, p <.001).

CONCLUSION:

Pathologically matched tumor subregions were cellular tumor with hypovascular cellular habitat in CEL and infiltrative tumor with hypovascular cellular habitat in NEL. Identification of the most aggressive as well as infiltrative tumor portion can be achieved using non-invasive MRI tumor habitats.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article