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单细胞RNA测序和批量RNA测序揭示弥漫性大B细胞淋巴瘤的肿瘤内异质性和肿瘤微环境特征

Single-Cell RNA-Seq and Bulk RNA-Seq Reveal Intratumoral Heterogeneity and Tumor Microenvironment Characteristics in Diffuse Large B-Cell Lymphoma.

作者信息

Zhao Yang, Xu Hui, Zhang Mingzhi, Li Ling

机构信息

Department of Oncology, First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.

出版信息

Front Genet. 2022 May 4;13:881345. doi: 10.3389/fgene.2022.881345. eCollection 2022.

DOI:10.3389/fgene.2022.881345
PMID:35601491
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9116505/
Abstract

Diffuse large B-cell lymphoma (DLBCL) is the most common histologic subtype of non-Hodgkin's lymphoma (NHL) with highly heterogeneous genetic and phenotypic features. Therefore, a comprehensive understanding of cellular diversity and intratumoral heterogeneity is essential to elucidate the mechanisms driving DLBCL progression and to develop new therapeutic approaches. We analyzed single-cell transcriptomic data from 2 reactive lymph node tissue samples and 2 DLBCL lymph node biopsy tissue samples to explore the transcriptomic landscape of DLBCL. In addition, we constructed a prognostic model based on the genes obtained from differential analysis. Based on gene expression profiles at the single cell level, we identified and characterized different subpopulations of malignant and immune cells. Malignant cells exhibited a high degree of inter-tumor heterogeneity. Tumor-infiltrating regulatory CD4 T cells showed highly immunosuppressive properties and exhausted cytotoxic CD8 T cells were highly expressed with markers of exhaustion. Cell communication analysis identified complex interactions between malignant cells and other cell subpopulations. In addition, the prognostic model we constructed allows for monitoring the prognosis of DLBCL patients. This study provides an in-depth dissection of the transcriptional features of malignant B cells and tumor microenvironment (TME) in DLBCL and provides new insights into the tumor heterogeneity of DLBCL.

摘要

弥漫性大B细胞淋巴瘤(DLBCL)是非霍奇金淋巴瘤(NHL)最常见的组织学亚型,具有高度异质的基因和表型特征。因此,全面了解细胞多样性和肿瘤内异质性对于阐明驱动DLBCL进展的机制以及开发新的治疗方法至关重要。我们分析了来自2个反应性淋巴结组织样本和2个DLBCL淋巴结活检组织样本的单细胞转录组数据,以探索DLBCL的转录组图谱。此外,我们基于差异分析获得的基因构建了一个预后模型。基于单细胞水平的基因表达谱,我们鉴定并表征了恶性和免疫细胞的不同亚群。恶性细胞表现出高度的肿瘤间异质性。肿瘤浸润调节性CD4 T细胞表现出高度免疫抑制特性,耗竭的细胞毒性CD8 T细胞高表达耗竭标志物。细胞通讯分析确定了恶性细胞与其他细胞亚群之间的复杂相互作用。此外,我们构建的预后模型可用于监测DLBCL患者的预后。本研究深入剖析了DLBCL中恶性B细胞和肿瘤微环境(TME)的转录特征,并为DLBCL的肿瘤异质性提供了新的见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4173/9116505/c7d476ef3f9a/fgene-13-881345-g008.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4173/9116505/eafdd3dc9787/fgene-13-881345-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4173/9116505/f9c40466d37a/fgene-13-881345-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4173/9116505/c7d476ef3f9a/fgene-13-881345-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4173/9116505/c620138fef41/fgene-13-881345-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4173/9116505/764a07ea4d8c/fgene-13-881345-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4173/9116505/b32f1f5d7f7d/fgene-13-881345-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4173/9116505/a91a58db831b/fgene-13-881345-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4173/9116505/727f7f31ecb4/fgene-13-881345-g005.jpg
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