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Single cell transcriptome analysis reveals RGS1 as a new marker and promoting factor for T cell exhaustion in multiple cancers

Authors: Yunmeng Bai; Yunmeng Bai; Meiling Hu; Zixi Chen; Jinfen Wei; Hongli Du;

Single cell transcriptome analysis reveals RGS1 as a new marker and promoting factor for T cell exhaustion in multiple cancers

Abstract

AbstractT cell exhaustion is one of the main reasons of tumor immune escape. Using single cell transcriptome data of CD8+ T cells in multiple cancers, we identified different cell types, in which Pre_exhaust and exhausted T cells participated in negative regulation of immune system process. By analyzing the co-expression network patterns and differentially expressed genes of Pre_exhaust, exhausted and effector T cells, we identified 35 genes related to T cell exhaustion, which high GSVA scores were associated with significantly poor prognosis in various cancers. In the differentially expressed genes,RGS1showed the greatest fold change in Pre_exhaust and exhausted cells of three cancers compared with effector T cells, and high expression ofRGS1was also associated with poor prognosis in various cancers. Additionally, RGS1 protein was upregulated significantly in tumor tissues in the immunohistochemistry verification. Furthermore,RGS1displayed positive correlation with the 35 genes, especially highly correlated withPDCD1, CTLA4, HAVCR2andTNFRSF9in CD8+ T cells and cancer tissues, indicating important roles ofRGS1in CD8+ T cell exhaustion. Considering the GTP-hydrolysis activity ofRGS1and significantly high mRNA and protein expression in cancer tissues, we speculated thatRGS1potentially mediate the T cell retention to lead to the persistent antigen stimulation, resulting in T cell exhaustion. In conclusion, our findings suggest that RGS1 is a new marker and promoting factor for CD8+ T cell exhaustion, and provide theoretical basis for research and immunotherapy of exhausted cells.

Related Organizations
Keywords

RGS1, Gene Expression Profiling, Immunology, Kaplan-Meier Estimate, single-cell transcriptome, poor prognosis, RC581-607, CD8-Positive T-Lymphocytes, multiple cancers, Prognosis, Gene Ontology, T-cell exhaustion, Neoplasms, Biomarkers, Tumor, Tumor Microenvironment, Humans, Gene Regulatory Networks, Immunologic diseases. Allergy, Single-Cell Analysis, RGS Proteins

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
55
Top 1%
Top 10%
Top 10%
Green
gold