PO.TB10.06 · 肿瘤生物学
荧光引导的多点取样与空间多组学揭示胶质母细胞瘤中功能性脂质的可干预弱点
Fluorescence-guided multi-sampling and spatial multi-omics reveal functional lipid vulnerabilities in glioblastoma
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摘要 Abstract
中文摘要
背景:胶质母细胞瘤(GB)是成人中最常见且侵袭性最强的原发性脑肿瘤。尽管进行了化疗和放疗,大多数病例仍会发生肿瘤复发,通常在切除边缘2 cm范围内。其高度侵袭性以及肿瘤微环境的显著异质性使其难以治疗。荧光引导的患者样本多点取样正被用于研究肿瘤内异质性。在本研究中,我们将质谱成像(MSI)与多重免疫荧光(mIF)和组织学相结合,以基于空间肿瘤生物学识别新的治疗弱点。我们开发了一套同片工作流程,将全部3种技术应用于同一切片,以识别可作为毒性更低的治疗选择加以操控的功能性脂质。
方法:20例GB患者接受了开颅手术,从多个不同的荧光和非荧光脑区手术切除肿瘤组织。使用Bruker Solarix FTICR质谱仪进行MSI,同一切片随后进行mIF以进行细胞和细胞器表型分析,之后进行H&E染色以用于组织病理学。分别使用Leica Stellaris 5和GT 450切片扫描仪进行共聚焦和组织学图像采集。数据分析使用SciLs lab、Leica LAS X和Imaris软件进行。经处理的mIF、H&E和MSI数据在SciLS Lab中整合,以对同一切片进行多模态分析。
结果:空间脂质组学、蛋白质组学和组织病理学的整合识别出与每份样本内不同病理表现和细胞邻域相关的功能性脂质。我们聚焦于两种多功能脂质:心磷脂(CLs)和神经节苷脂(GGs)。CLs是独特的线粒体脂质,含有四条酰基链,其结构已知可调控线粒体功能。在GB中,我们检测到基于脂肪酸残基组成的差异性蓄积,其与线粒体数量和表型相关。瘤周区域显示线粒体相互连接,而伴血管增生的肿瘤区域则表现出丰富的碎片化线粒体,提示代谢和动态发生改变。GGs参与细胞间相互作用、免疫调节和肿瘤生长。抗GD2免疫治疗已被FDA批准用于神经母细胞瘤,并正处于用于其他实体瘤的临床试验中。在GB中,我们识别出GM1-3、GD1-3和GT1,3系列中的30余种GGs物种,它们根据酰基链和唾液酸组成分割至不同的病理区域。
结论:我们优化了一套同片空间多组学工作流程,识别出作为胶质母细胞瘤治疗弱点的肿瘤特异性脂质通路。正在进行的研究正使用患者配对的3D模型来确定这些发现的功能相关性,并用于药物筛选研究。
查看英文原文 English abstract
Background: Glioblastoma (GB) is the most common and aggressive primary brain tumor in adults. Tumor recurrence occurs in most cases, typically within 2 cm of the resection margin, despite chemo and radiotherapy. This highly invasive nature and the marked heterogeneity of the tumor microenvironment make it challenging to treat. Fluorescence-guided multiple sampling of patient samples is being used to study intra-tumor heterogeneity. In this study we combined mass spectrometry imaging (MSI) with multiplex immunofluorescence (mIF) and histology to identify new therapeutic vulnerabilities based on spatial tumor biology. We developed a same slide workflow applying all 3 technologies to the same section to identify functional lipids that can be manipulated as less toxic therapeutic options.
Methods: Twenty GB patients underwent craniotomies and tumor tissue was surgically resected from multiple different fluorescing and non-fluorescing brain locations. MSI was carried out using a Bruker Solarix FTICR mass spectrometer, the same section then underwent mIF for cell and organelle phenotyping, followed by H&E-staining for histopathology. The Leica Stellaris 5 and GT 450 slide scanner were used for confocal and histological image acquisition, respectively. Data analysis was carried out using the SciLs lab, Leica LAS X and Imaris software. Processed mIF, H&E and MSI data were integrated in SciLS Lab for multimodal analysis on the same section.
Results: Integration of spatial lipidomic, proteomics and histopathology identified functional lipids that correlated with different pathological presentations and cellular neighborhoods within each sample. We focused on two multifunctional lipids: cardiolipins (CLs) and gangliosides (GGs). CLs are unique mitochondrial lipids that contain four acyl chains, whose structure is known to regulate mitochondrial function. In GB, we detected differential accumulation based upon fatty acid residue composition, which correlated with mitochondrial numbers and phenotype. Peritumoral regions showed interconnected mitochondria, while tumor regions with vascular proliferations displayed abundant fragmented mitochondria, indicative of altered metabolism and dynamics. GGs are involved in cell-cell interaction, immune modulation, and tumor growth. Anti-GD2 immunotherapy is FDA-approved for neuroblastoma and in clinical trials for other solid tumors. In GB, we identified over 30 GGs species across the GM1-3, GD1-3 and GT1,3 series, which segmented with different pathological regions based on acyl chain and sialic acid composition.
Conclusions: We optimized a same section spatial multi-omics workflow that identified tumor-specific lipid pathways as therapeutic vulnerabilities in glioblastoma.
Ongoing studies are using patient-matched 3D models to determine the functional relevance of these findings and for drug screening studies.
利益披露 Disclosure
A. Ponzoni, None..
E. Liapis, None..
L. T. Maristela, None..
E. E. Ginalis, None..
L. Szymanski, None..
K. Chow, None..
K. Lee, None..
G. J. Kaptain, None..
C. L. Carter, None.