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
{"title":"绘制 IDH 野生型胶质母细胞瘤的肿瘤生境图:整合常春藤胶质母细胞瘤图谱项目的 MR 成像、病理和 RNA 数据。","authors":"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","doi":"10.1093/neuonc/noae161","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>To spatially validate intratumoral subregions (tumor habitat) using physiologic MRI on pathology of the isocitrate dehydrogenase (IDH)-wildtype whole-glioblastoma sample.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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).</p><p><strong>Conclusion: </strong>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.</p>","PeriodicalId":19377,"journal":{"name":"Neuro-oncology","volume":null,"pages":null},"PeriodicalIF":16.4000,"publicationDate":"2024-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Mapping Tumor Habitats in IDH-Wild Type Glioblastoma: Integrating MR Imaging, Pathologic, and RNA Data from Ivy Glioblastoma Atlas Project.\",\"authors\":\"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\",\"doi\":\"10.1093/neuonc/noae161\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>To spatially validate intratumoral subregions (tumor habitat) using physiologic MRI on pathology of the isocitrate dehydrogenase (IDH)-wildtype whole-glioblastoma sample.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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).</p><p><strong>Conclusion: </strong>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.</p>\",\"PeriodicalId\":19377,\"journal\":{\"name\":\"Neuro-oncology\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":16.4000,\"publicationDate\":\"2024-08-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Neuro-oncology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1093/neuonc/noae161\",\"RegionNum\":1,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CLINICAL NEUROLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Neuro-oncology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1093/neuonc/noae161","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
引用次数: 0
摘要
背景:利用生理学磁共振成像对异柠檬酸脱氢酶(IDH)-野生型全胶质母细胞瘤样本的病理学进行空间验证瘤内亚区域(肿瘤栖息地):方法:从常春藤胶质母细胞瘤图谱项目中获取了20名患者(168张切片)的数据。在核磁共振成像中,通过对对比增强病灶(CEL)和非增强病灶(NEL)的表观弥散系数(ADC)和脑血容量(CBV)图进行体素聚类,确定肿瘤的分布区。在病理切片上,获得前缘(LE)、浸润性肿瘤(IT)、细胞肿瘤(CT)、高血管性病变(CThypervascular)和坏死周围病变(CTperinecrotic)的归一化区域。大体标本在核磁共振成像上进行联合登记,并计算病理学与核磁共振成像之间的相关性。使用 4 个 Neftel 亚型对 67 个样本的 RNA 测序进行评估,并进一步与病理学进行关联:结果:确定了六种肿瘤生境:CEL和NEL的高血管生境、低血管细胞生境和低血管低细胞生境。CT与CEL的低血管细胞栖息地相关(r= 0.238,p =.005)。在 NEL 中,IT 与血管下细胞栖息地相关(r= 0.294,p =.017)。CThypervascular 与 NEL 的高血管生境相关(r= 0.195,p = .023)。CTperinecrotic 与成像坏死相关(r= 0.199,p =.005)。星形胶质细胞样亚型与 IT 相关(r= 0.256,p=0.005):病理匹配的肿瘤亚区在CEL中为低血管细胞生境的细胞性肿瘤,在NEL中为低血管细胞生境的浸润性肿瘤。使用非侵入性磁共振成像肿瘤生境可识别最具侵袭性和浸润性的肿瘤部分。
Mapping Tumor Habitats in IDH-Wild Type Glioblastoma: Integrating MR Imaging, Pathologic, and RNA Data from Ivy Glioblastoma Atlas Project.
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.
期刊介绍:
Neuro-Oncology, the official journal of the Society for Neuro-Oncology, has been published monthly since January 2010. Affiliated with the Japan Society for Neuro-Oncology and the European Association of Neuro-Oncology, it is a global leader in the field.
The journal is committed to swiftly disseminating high-quality information across all areas of neuro-oncology. It features peer-reviewed articles, reviews, symposia on various topics, abstracts from annual meetings, and updates from neuro-oncology societies worldwide.