绘制 IDH 野生型胶质母细胞瘤的肿瘤栖息地:整合来自 Ivy 胶质母细胞瘤图谱项目的 MR 成像、病理和 RNA 数据。
Mapping Tumor Habitats in IDH-Wild Type Glioblastoma: Integrating MR Imaging, Pathologic, and RNA Data from Ivy Glioblastoma Atlas Project.
发表日期:2024 Aug 23
作者:
Ji Eun Park, Joo Young Oh, Do Hoon Park, Ho-Su Lee, Shinkyo Yoon, Nak Young Kim, Seo Young Park, Sang Woo Song, Young-Hoon Kim, Chang-Ki Hong, Jeong Hoon Kim, Ho Sung Kim
来源:
NEURO-ONCOLOGY
摘要:
使用生理 MRI 对异柠檬酸脱氢酶 (IDH) 野生型全胶质母细胞瘤样本的病理学进行空间验证肿瘤内亚区域(肿瘤栖息地)。20 名患者的数据(168 张幻灯片)从 Ivy 胶质母细胞瘤图谱项目获得。在 MRI 上,使用表观扩散系数 (ADC) 和脑血容量 (CBV) 图的体素聚类来定义对比增强病变 (CEL) 和非增强病变 (NEL) 的肿瘤栖息地。在病理切片上,获得了前缘(LE)、浸润性肿瘤(IT)、细胞肿瘤(CT)、富血管病变(CThyperangiography)和坏死周围病变(CTperinecrotic)的标准化区域。在 MRI 上共同记录大体标本,并计算病理学与 MRI 栖息地之间的相关性。使用 4 种 Neftel 亚型对 67 个样本的 RNA 测序进行评估,并进一步与病理学相关。确定了 6 个肿瘤栖息地:CEL 和 NEL 的血管丰富、血管不足的细胞和血管缺乏的细胞栖息地。 CT 与 CEL 中血管不足的细胞栖息地相关(r = 0.238,p = .005)。 IT 与 NEL 中血管不足的细胞栖息地相关(r = 0.294,p = 0.017)。 C 多血管与 NEL 中的多血管栖息地相关(r = 0.195,p = .023)。 CT 周围坏死与影像学坏死相关(r = 0.199,p = 0.005)。星形胶质细胞样亚型与 IT 相关(r= 0.256,p <.001),而间充质样亚型与 CT 周围坏死面积相关(r= 0.246,p <.001)。病理匹配的肿瘤亚区是具有缺乏血管细胞的细胞肿瘤CEL 中的栖息地和 NEL 中具有缺血管细胞栖息地的浸润性肿瘤。使用非侵入性 MRI 肿瘤栖息地可以识别最具侵袭性和浸润性的肿瘤部分。© 作者 2024。由牛津大学出版社代表神经肿瘤学会出版。版权所有。如需商业重复使用,请联系 reprints@oup.com 获取转载和转载的翻译权。所有其他权限均可通过我们网站文章页面上的“权限”链接通过我们的 RightsLink 服务获得 - 欲了解更多信息,请联系journals.permissions@oup.com。
To spatially validate intratumoral subregions (tumor habitat) using physiologic MRI on pathology of the isocitrate dehydrogenase (IDH)-wildtype whole-glioblastoma sample.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.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).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.© The Author(s) 2024. Published by Oxford University Press on behalf of the Society for Neuro-Oncology. All rights reserved. For commercial re-use, please contact reprints@oup.com for reprints and translation rights for reprints. All other permissions can be obtained through our RightsLink service via the Permissions link on the article page on our site—for further information please contact journals.permissions@oup.com.