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Single-cell analysis of diverse immune phenotypes in malignant pleural effusion

Authors :
Jian-Chu Zhang
Juan Du
Sha Li
Feng-Shuang Yi
Qiong Zhou
Huan-Zhong Shi
Xian-Zhen Huang
Ming-Ming Shao
Kan Zhai
Feng-Yao Wu
Zhong-Yin Huang
Wei Li
Source :
Nature Communications, Nature Communications, Vol 12, Iss 1, Pp 1-12 (2021)
Publication Year :
2021
Publisher :
Springer Science and Business Media LLC, 2021.

Abstract

The complex interactions among different immune cells have important functions in the development of malignant pleural effusion (MPE). Here we perform single-cell RNA sequencing on 62,382 cells from MPE patients induced by non-small cell lung cancer to describe the composition, lineage, and functional states of infiltrating immune cells in MPE. Immune cells in MPE display a number of transcriptional signatures enriched for regulatory T cells, B cells, macrophages, and dendritic cells compared to corresponding counterparts in blood. Helper T, cytotoxic T, regulatory T, and T follicular helper cells express multiple immune checkpoints or costimulatory molecules. Cell-cell interaction analysis identifies regulatory B cells with more interactions with CD4+ T cells compared to CD8+ T cells. Macrophages are transcriptionally heterogeneous and conform to M2 polarization characteristics. In addition, immune cells in MPE show the general up-regulation of glycolytic pathways associated with the hypoxic microenvironment. These findings show a detailed atlas of immune cells in human MPE and enhance the understanding of potential diagnostic and therapeutic targets in advanced non-small cell lung cancer.<br />Detailed immune cell subset identification in human lung (malignant pleural effusion) MPE is important for diagnosis and prognosis. Here the authors use single cell RNA sequencing to identify immune cell types within MPE and show differential gene expression compared to circulating immune cells in blood.

Details

ISSN :
20411723
Volume :
12
Database :
OpenAIRE
Journal :
Nature Communications
Accession number :
edsair.doi.dedup.....c5e3992bbe15fc8985a75eece72ac64f