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将高级别胶质瘤免疫浸润映射到 5-ALA 荧光水平:TCGA 数据计算、经典组织学和数字图像分析。

Mapping high-grade glioma immune infiltration to 5-ALA fluorescence levels: TCGA data computation, classical histology, and digital image analysis.

机构信息

Department of Neurosurgery, Medical University of Vienna, Währinger Gürtel 18-20, 1090, Vienna, Austria.

Central Nervous System Unit, Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria.

出版信息

J Neurooncol. 2023 Aug;164(1):211-220. doi: 10.1007/s11060-023-04406-3. Epub 2023 Aug 6.

DOI:10.1007/s11060-023-04406-3
PMID:37543970
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10462498/
Abstract

PURPOSE

Resection of high-grade gliomas has been considerably improved by 5-aminolevulinic acid (5-ALA). However, not all neurobiological properties of 5-ALA are fully understood. Specifically, potential differences in immune infiltration have not been conclusively examined, despite recent reports that immune cells might play a role. Thus, we here provide a systematic mapping of immune infiltration of different 5-ALA fluorescence levels.

METHODS

Tumor-associated macrophages (CD68, CD163), cytotoxic T cells (CD8), and regulatory T cells (FoxP3) were quantified via three methods. First, data from The Cancer Genome Atlas (TCGA) of 172 patients was examined for correlations between 5-ALA fluorescence-related mRNA expression signatures and immune markers. Second, as classical histology, 508 stained slides from 39 high-grade glioma patients were analysed semi-quantitatively by two independent reviewers, generating 1016 data points. Third, digital image analysis was performed with automated scanning and algorithm-based cell quantification.

RESULTS

TCGA mRNA data from 172 patients showed a direct, significant correlation between 5-ALA signatures and immune markers (p < 0.001). However, we were not able to confirm this finding in the here studied initial set of 39 patient histologies where we found a comparable immune infiltration in different fluorescence levels. Digital image analysis correlated excellently with standard histology.

CONCLUSION

With mapping the immune infiltration pattern of different 5-ALA categories, we are adding fundamental basic insights to the field of 5-ALA and glioma biology. The observation that a significant correlation in TCGA data did not fully translate to detectable differences in immune infiltration in first histology data warrants further investigation in larger cohorts.

摘要

目的

5-氨基酮戊酸(5-ALA)的使用极大地提高了高级别神经胶质瘤的切除率。然而,人们对 5-ALA 的许多神经生物学特性仍不完全了解。特别是,尽管最近有报道称免疫细胞可能发挥作用,但尚未明确检查潜在的免疫浸润差异。因此,我们在此提供了不同 5-ALA 荧光水平下免疫浸润的系统图谱。

方法

通过三种方法对肿瘤相关巨噬细胞(CD68、CD163)、细胞毒性 T 细胞(CD8)和调节性 T 细胞(FoxP3)进行定量。首先,对 172 名患者的癌症基因组图谱(TCGA)数据进行检查,以分析 5-ALA 荧光相关 mRNA 表达特征与免疫标志物之间的相关性。其次,作为经典组织学,由两名独立的审阅者对半定量分析了 39 名高级别脑肿瘤患者的 508 张染色切片,共生成 1016 个数据点。第三,通过自动扫描和基于算法的细胞定量进行数字图像分析。

结果

来自 172 名患者的 TCGA mRNA 数据显示 5-ALA 特征与免疫标志物之间存在直接、显著的相关性(p<0.001)。然而,我们无法在最初研究的 39 名患者组织学中证实这一发现,因为我们在不同荧光水平下发现了类似的免疫浸润。数字图像分析与标准组织学相关性极佳。

结论

通过绘制不同 5-ALA 类别的免疫浸润图谱,我们为 5-ALA 和神经胶质瘤生物学领域提供了基本的基础见解。在首次组织学数据中,TCGA 数据中的显著相关性并未完全转化为可检测到的免疫浸润差异,这一观察结果值得在更大的队列中进一步研究。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a38/10462498/0ee49b20f3df/11060_2023_4406_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a38/10462498/1014f5ba6d75/11060_2023_4406_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a38/10462498/5706de04bf20/11060_2023_4406_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a38/10462498/514ea887e749/11060_2023_4406_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a38/10462498/130a73b1fef1/11060_2023_4406_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a38/10462498/0ee49b20f3df/11060_2023_4406_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a38/10462498/1014f5ba6d75/11060_2023_4406_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a38/10462498/5706de04bf20/11060_2023_4406_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a38/10462498/514ea887e749/11060_2023_4406_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a38/10462498/130a73b1fef1/11060_2023_4406_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2a38/10462498/0ee49b20f3df/11060_2023_4406_Fig5_HTML.jpg

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