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描绘经典霍奇金淋巴瘤中 CD4+ T 细胞谱的空间动态。

Mapping the Spatial Dynamics of the CD4+ T Cell Spectrum in Classical Hodgkin Lymphoma.

机构信息

Translational Research, MD Anderson Cancer Center Foundation, Madrid, Spain.

Translational Research, MD Anderson Cancer Center Foundation, Madrid, Spain; Pathology Department, MD Anderson Cancer Center Madrid, Madrid, Spain.

出版信息

Mod Pathol. 2024 Sep;37(9):100551. doi: 10.1016/j.modpat.2024.100551. Epub 2024 Jun 25.

Abstract

As around 25% to 30% of classical Hodgkin lymphoma (cHL) patients with advanced stages do not respond to standard therapies, the tumor microenvironment of cHL is one avenue that may be explored with the aim of improving risk stratification. CD4+ T cells are thought to be one of the main cell types in the tumor microenvironment. However, few immune signatures have been studied, and many of these lack related spatial data. Thus, our aim is to spatially resolve the CD4+ T cell subtypes that influence cHL outcome, depicting new immune signatures or transcriptional patterns that are in crosstalk with the tumor cells. This study was conducted using the NanoString GeoMx digital spatial profiling technology, based on the selection of distinct functional areas of patients' tissues followed by gene-expression profiling. The goals were to assess the differences in CD4+ T cell populations between tumor-rich and immune-predominant areas defined by different CD30 and PD-L1 expression levels and seek correlations with clinical metadata. Our results depict a complex map of CD4+ T cells with different functions and differentiation states that are enriched at distinct locations, the flux of cytokines and chemokines that could be related to these, and the specific relationships with the clinical outcome.

摘要

由于约 25%至 30%的晚期经典霍奇金淋巴瘤(cHL)患者对标准治疗无反应,因此 cHL 的肿瘤微环境可能是一个可以探索的途径,旨在改善风险分层。CD4+T 细胞被认为是肿瘤微环境中的主要细胞类型之一。然而,研究的免疫特征很少,其中许多缺乏相关的空间数据。因此,我们的目标是空间解析影响 cHL 结果的 CD4+T 细胞亚型,描绘与肿瘤细胞相互作用的新免疫特征或转录模式。本研究使用了基于选择患者组织不同功能区域的 NanoString GeoMx 数字空间分析技术,随后进行基因表达谱分析。研究的目的是评估肿瘤丰富区和免疫优势区之间 CD4+T 细胞群体的差异,这些区域由不同的 CD30 和 PD-L1 表达水平定义,并寻找与临床元数据的相关性。我们的研究结果描绘了一幅具有不同功能和分化状态的 CD4+T 细胞的复杂图谱,这些细胞在不同的位置富集,细胞因子和趋化因子的流动可能与这些细胞有关,以及与临床结果的具体关系。

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