0 14

Cited 0 times in

Mapping tumor habitats in isocitrate dehydrogenase -wild type glioblastoma: Integrating MRI, pathologic, and RNA data from the Ivy Glioblastoma Atlas Project

Authors
 Ji Eun Park  ;  Joo Young Oh  ;  Do Hoon Park  ;  Ho-Su Lee  ;  Shinkyo Yoon  ;  NakYoung Kim  ;  Seo Young Park  ;  Sang Woo Song  ;  Young-Hoon Kim  ;  Chang-Ki Hong  ;  Jeong Hoon Kim  ;  Ho Sung Kim 
Citation
 NEURO-ONCOLOGY, Vol.27(1) : 291-301, 2024-09 
Journal Title
NEURO-ONCOLOGY
ISSN
 1522-8517 
Issue Date
2024-09
MeSH
Adult ; Aged ; Brain Neoplasms* / diagnostic imaging ; Brain Neoplasms* / genetics ; Brain Neoplasms* / pathology ; Female ; Glioblastoma* / diagnostic imaging ; Glioblastoma* / genetics ; Glioblastoma* / pathology ; Humans ; Isocitrate Dehydrogenase* / genetics ; Magnetic Resonance Imaging* / methods ; Male ; Middle Aged ; Prognosis ; Tumor Microenvironment*
Keywords
MRI ; glioblastoma ; pathology ; tumor subregions ; validation
Abstract
Background: The goal of the study was to spatially validate intratumoral subregions (tumor habitat) using physiologic magnetic resonance imaging (MRI) on the pathology of the isocitrate dehydrogenase (IDH)-wild-type whole-glioblastoma sample.

Methods: Data from 20 patients (168 slides) were obtained from the Ivy Glioblastoma Atlas Project. On MRI, tumor habitats were defined using voxel-wise clustering of the apparent diffusion coefficient and cerebral blood volume maps for contrast-enhancing lesions (CEL) and non-enhancing lesions (NEL). On pathology slides, normalized areas of leading-edge, infiltrating tumor (IT), cellular tumor (CT), hypervascular lesion (CThypervascular), and perinecrotic lesion (CTperinecrotic) were obtained. Gross specimen was coregistered 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).

Conclusions: Pathologically matched tumor subregions were CT 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 noninvasive MRI tumor habitats.
Full Text
https://academic.oup.com/neuro-oncology/article/27/1/291/7739833
DOI
10.1093/neuonc/noae161
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Radiation Oncology (방사선종양학교실) > 1. Journal Papers
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/206400
사서에게 알리기
  feedback

qrcode

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

Browse

Links