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分析肺腺癌中免疫细胞的空间分布。

Analyzing the Spatial Distribution of Immune Cells in Lung Adenocarcinoma.

作者信息

Almarii Florina, Sajin Maria, Simion George, Dima Simona O, Herlea Vlad

机构信息

Department of Pathology, Fundeni Clinical Institute, 022328 Bucharest, Romania.

Department of Pathology, "Carol Davila" University of Medicine and Pharmacy, 050474 Bucharest, Romania.

出版信息

J Pers Med. 2024 Aug 30;14(9):925. doi: 10.3390/jpm14090925.

DOI:10.3390/jpm14090925
PMID:39338178
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11433064/
Abstract

(1) Background: This study investigates the tumor immune microenvironment, focusing on immune cell distribution in lung adenocarcinoma. (2) Methods: We evaluated fifty cases of lung adenocarcinoma, and suitable areas for further studies were annotated on the histological slides. Two tumor cores per case were obtained, one from the tumor's center and another from its periphery, and introduced into three paraffin receptor blocks for optimized processing efficiency. The 4-micrometer-thick tissue microarray sections were stained for H&E and for CD68, CD163, CD8, CD4, and PD-L1; (3) Results: Our investigation revealed significant correlations between PD-L1 expression in tumor cells and the presence of CD163+ macrophages, between CD4+ cells and CD8+, CD68+, and CD163+ cells, and also between CD8+ T cells and CD163+ cells. Additionally, while we observed some differences in cellular components and densities between the tumor center and periphery, these differences were not statistically significant. However, distinct correlations between PD-L1 and immune cells in these regions were identified, suggesting spatial heterogeneity in the immune landscape. (4) Conclusions: These results emphasize the intricate interactions between immune cells and tumor cells in lung adenocarcinoma. Understanding patient spatial immune profile could improve patient selection for immunotherapy, ensuring that those most likely to benefit are identified.

摘要

(1) 背景:本研究调查肿瘤免疫微环境,重点关注肺腺癌中的免疫细胞分布。(2) 方法:我们评估了50例肺腺癌病例,并在组织学切片上标注了适合进一步研究的区域。每例获取两个肿瘤核心,一个来自肿瘤中心,另一个来自肿瘤周边,将其放入三个石蜡受体块中以优化处理效率。对4微米厚的组织微阵列切片进行苏木精-伊红(H&E)染色以及针对CD68、CD163、CD8、CD4和程序性死亡受体配体1(PD-L1)的染色;(3) 结果:我们的研究揭示了肿瘤细胞中PD-L1表达与CD163+巨噬细胞的存在之间、CD4+细胞与CD8+、CD68+和CD163+细胞之间以及CD8+T细胞与CD163+细胞之间存在显著相关性。此外,虽然我们观察到肿瘤中心和周边在细胞成分和密度上存在一些差异,但这些差异无统计学意义。然而,在这些区域中确定了PD-L1与免疫细胞之间存在明显的相关性,表明免疫格局存在空间异质性。(4) 结论:这些结果强调了肺腺癌中免疫细胞与肿瘤细胞之间复杂的相互作用。了解患者的空间免疫特征可以改善免疫治疗的患者选择,确保识别出最可能受益的患者。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c12/11433064/47a7ad88b136/jpm-14-00925-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c12/11433064/6bf4aa2c209d/jpm-14-00925-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c12/11433064/47a7ad88b136/jpm-14-00925-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c12/11433064/6bf4aa2c209d/jpm-14-00925-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c12/11433064/47a7ad88b136/jpm-14-00925-g002.jpg

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本文引用的文献

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A single-cell characterised signature integrating heterogeneity and microenvironment of lung adenocarcinoma for prognostic stratification.单细胞特征签名整合肺腺癌异质性和微环境用于预后分层。
EBioMedicine. 2024 Apr;102:105092. doi: 10.1016/j.ebiom.2024.105092. Epub 2024 Mar 28.
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An immune cell map of human lung adenocarcinoma development reveals an anti-tumoral role of the Tfh-dependent tertiary lymphoid structure.人类肺腺癌发展的免疫细胞图谱揭示了 Tfh 依赖性三级淋巴结构的抗肿瘤作用。
Cell Rep Med. 2024 Mar 19;5(3):101448. doi: 10.1016/j.xcrm.2024.101448. Epub 2024 Mar 8.
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Recent advances in neoantigen vaccines for treating non-small cell lung cancer.
新兴抗原疫苗治疗非小细胞肺癌的最新进展。
Thorac Cancer. 2023 Dec;14(34):3361-3368. doi: 10.1111/1759-7714.15126. Epub 2023 Oct 31.
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Hot and cold tumors: Immunological features and the therapeutic strategies.冷热肿瘤:免疫特征与治疗策略
MedComm (2020). 2023 Aug 26;4(5):e343. doi: 10.1002/mco2.343. eCollection 2023 Oct.
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Immune cellular patterns of distribution affect outcomes of patients with non-small cell lung cancer.免疫细胞的分布模式会影响非小细胞肺癌患者的预后。
Nat Commun. 2023 Apr 25;14(1):2364. doi: 10.1038/s41467-023-37905-y.
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Geospatial characterization of immune cell distributions and dynamics across the microenvironment in clear cell renal cell carcinoma.对透明细胞肾细胞癌微环境中免疫细胞分布和动态的地理空间特征进行描述。
J Immunother Cancer. 2023 Apr;11(4). doi: 10.1136/jitc-2022-006195.
7
Spatial Positioning of Immune Hotspots Reflects the Interplay between B and T Cells in Lung Squamous Cell Carcinoma.免疫热点的空间定位反映了肺鳞状细胞癌中 B 细胞和 T 细胞的相互作用。
Cancer Res. 2023 May 2;83(9):1410-1425. doi: 10.1158/0008-5472.CAN-22-2589.
8
Lung cancer immunotherapy: progress, pitfalls, and promises.肺癌免疫疗法:进展、陷阱和前景。
Mol Cancer. 2023 Feb 21;22(1):40. doi: 10.1186/s12943-023-01740-y.
9
T lymphocyte cell: A pivotal player in lung cancer.T 淋巴细胞:肺癌的关键参与者。
Front Immunol. 2023 Jan 27;14:1102778. doi: 10.3389/fimmu.2023.1102778. eCollection 2023.
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Functional status and spatial interaction of T cell subsets driven by specific tumor microenvironment correlate with recurrence of non-small cell lung cancer.特定肿瘤微环境驱动的 T 细胞亚群的功能状态和空间相互作用与非小细胞肺癌的复发相关。
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