从高角分辨Q空间磁共振成像得出的肿瘤相关切迹图可预测胶质母细胞瘤的细胞侵袭模式

IF 4.5 2区 医学 Q1 ONCOLOGY
Cancers Pub Date : 2024-10-30 DOI:10.3390/cancers16213669
Owen P Leary, John P Zepecki, Mattia Pizzagalli, Steven A Toms, David D Liu, Yusuke Suita, Yao Ding, Jihong Wang, Renjie He, Caroline Chung, Clifton D Fuller, Jerrold L Boxerman, Nikos Tapinos, Richard J Gilbert
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引用次数: 0

摘要

背景:胶质母细胞瘤细胞的侵袭超出了传统神经影像学所描述的可见肿瘤边缘,这被认为是导致复发和预示不良生存率的因素。然而,与肿瘤浸润方向和范围相关的放射生物标志物尚不存在:2018年至2019年期间,来自一个中心的新诊断胶质母细胞瘤患者(n = 7)接受了术前Q空间磁共振成像(QSI;3T,64个梯度方向,b = 1000 s/mm2)。对肿瘤进行了人工分割,并生成了与每个分割相交的体素间相干性空间模式,以表示肿瘤相关的牵引成像。一名患者还在肿瘤切除过程中接受了扩散束与非扩散束相关组织的区域活检,以进行 RNA 测序。该组患者的成像数据与接受过类似 QSI 扫描的 n = 66 例胶质母细胞瘤患者的历史数据进行了比较。使用 t 检验、线性回归和 Kaplan-Meier 统计法评估了牵引成像衍生指标与存活率的关系。在高场条件(QSI、7T、512个梯度方向)下扫描了海马下注射人源胶质母细胞瘤干细胞(GSCs)生成的患者源胶质母细胞瘤异种移植(PDX)小鼠,并将肿瘤相关牵引图与免疫染色GSCs的三维显微重建进行了比较:结果:在主要入组的胶质母细胞瘤患者中,所有病例都显示出肿瘤相交束束延伸至脑实质的牵引成像模式,应用类似方法时,这种表型在PDX小鼠和更大的胶质母细胞瘤患者对比组(n = 66)中得以重现。在PDX小鼠中重建的GSC空间模式与肿瘤相关束图密切相关。在对 n = 66 例患者进行的卡普兰-梅耶尔生存分析中,计算得出的瘤内平均弥散率预测了患者的总生存率(p = 0.037),牵引相关特征包括平均牵引长度(p = 0.039)和平均投影牵引长度(p = 0.022)也预测了患者的总生存率。人体组织样本(来自一名患者的 13 个肿瘤样本)的 RNA 测序显示,在牵引相关样本中,调控细胞运动的转录本过度表达:QSI能分辨出肿瘤特异性的象素间相干性模式,这种模式被认为代表了可能易受胶质母细胞瘤侵袭的白质通路。这些发现可为今后胶质母细胞瘤的靶向治疗、患者分层和预后判断奠定基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Tumor-Associated Tractography Derived from High-Angular-Resolution Q-Space MRI May Predict Patterns of Cellular Invasion in Glioblastoma.

Background: The invasion of glioblastoma cells beyond the visible tumor margin depicted by conventional neuroimaging is believed to mediate recurrence and predict poor survival. Radiomic biomarkers that are associated with the direction and extent of tumor infiltration are, however, non-existent.

Methods: Patients from a single center with newly diagnosed glioblastoma (n = 7) underwent preoperative Q-space magnetic resonance imaging (QSI; 3T, 64 gradient directions, b = 1000 s/mm2) between 2018 and 2019. Tumors were manually segmented, and patterns of inter-voxel coherence spatially intersecting each segmentation were generated to represent tumor-associated tractography. One patient additionally underwent regional biopsy of diffusion tract- versus non-tract-associated tissue during tumor resection for RNA sequencing. Imaging data from this cohort were compared with a historical cohort of n = 66 glioblastoma patients who underwent similar QSI scans. Associations of tractography-derived metrics with survival were assessed using t-tests, linear regression, and Kaplan-Meier statistics. Patient-derived glioblastoma xenograft (PDX) mice generated with the sub-hippocampal injection of human-derived glioblastoma stem cells (GSCs) were scanned under high-field conditions (QSI, 7T, 512 gradient directions), and tumor-associated tractography was compared with the 3D microscopic reconstruction of immunostained GSCs.

Results: In the principal enrollment cohort of patients with glioblastoma, all cases displayed tractography patterns with tumor-intersecting tract bundles extending into brain parenchyma, a phenotype which was reproduced in PDX mice as well as in a larger comparison cohort of glioblastoma patients (n = 66), when applying similar methods. Reconstructed spatial patterns of GSCs in PDX mice closely mirrored tumor-associated tractography. On a Kaplan-Meier survival analysis of n = 66 patients, the calculated intra-tumoral mean diffusivity predicted the overall survival (p = 0.037), as did tractography-associated features including mean tract length (p = 0.039) and mean projecting tract length (p = 0.022). The RNA sequencing of human tissue samples (n = 13 tumor samples from a single patient) revealed the overexpression of transcripts which regulate cell motility in tract-associated samples.

Conclusions: QSI discriminates tumor-specific patterns of inter-voxel coherence believed to represent white matter pathways which may be susceptible to glioblastoma invasion. These findings may lay the groundwork for future work on therapeutic targeting, patient stratification, and prognosis in glioblastoma.

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来源期刊
Cancers
Cancers Medicine-Oncology
CiteScore
8.00
自引率
9.60%
发文量
5371
审稿时长
18.07 days
期刊介绍: Cancers (ISSN 2072-6694) is an international, peer-reviewed open access journal on oncology. It publishes reviews, regular research papers and short communications. Our aim is to encourage scientists to publish their experimental and theoretical results in as much detail as possible. There is no restriction on the length of the papers. The full experimental details must be provided so that the results can be reproduced.
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