Evidence map›Paper›PMID 34956194›Full record

ArticleFrontiers in immunology2021

Single-Cell Transcriptome Analysis Reveals RGS1 as a New Marker and Promoting Factor for T-Cell Exhaustion in Multiple Cancers.

Yunmeng Bai, Meiling Hu, Zixi Chen, Jinfen Wei, Hongli Du

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed
5.3field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

47 citing papers in PubMed, 77 citations in OpenAlex.

  1. Trial
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Yunmeng BaiSchool of Biology and Biological Engineering, South China University of Technology, Guangzhou, China.
Meiling HuSchool of Biology and Biological Engineering, South China University of Technology, Guangzhou, China.
Zixi ChenSchool of Biology and Biological Engineering, South China University of Technology, Guangzhou, China.
Jinfen WeiSchool of Biology and Biological Engineering, South China University of Technology, Guangzhou, China.
Hongli DuSchool of Biology and Biological Engineering, South China University of Technology, Guangzhou, China.
South China University of Technology · CNShenZhen People’s Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

T-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 coexpression network patterns and differentially expressed genes of Pre_exhaust, exhausted, and effector T cells, we identified 35 genes related to T-cell exhaustion, whose high GSVA scores were associated with significantly poor prognosis in various cancers. In the differentially expressed genes,

Indexed as

Biomarkers, TumorCD8-Positive T-LymphocytesGene Expression ProfilingGene OntologyGene Regulatory NetworksHumansKaplan-Meier EstimateNeoplasmsPrognosisRGS ProteinsSingle-Cell AnalysisTumor MicroenvironmentBiomarkers, TumorRGS1 protein, humanRGS Proteinsmultiple cancerspoor prognosisRGS1single-cell transcriptomeT-cell exhaustion

Identifiers

PMID34956194
PMCPMC8692249
OpenAlexW4200625773

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.