Evidence map›Paper›PMID 34305920›Full record

ArticleFrontiers in immunology2021

A Pan-Cancer Analysis of CD161, a Potential New Immune Checkpoint.

Xiaohan Zhou, Jun Du, Chengdong Liu, Hanyi Zeng, Yuting Chen, Li Liu, Dehua Wu

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 67 papers.

0numbers the graph read from it
0cells of the map it votes in
67citing papers in PubMed
6.3field-weighted citation impact, top 2% 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

67 citing papers in PubMed, 90 citations in OpenAlex.

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  15. [Effects of PEG-IFN-α treatment on the expression of CDZhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2025
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7 more citing papers are in PubMed but not listed here.

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

7 authors at 3 institutions in 1 country.

Xiaohan ZhouDepartment of Radiation Oncology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Jun DuNational Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Chengdong LiuDepartment of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Hanyi ZengDepartment of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Yuting ChenDepartment of Radiation Oncology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Li LiuDepartment of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Dehua WuDepartment of Radiation Oncology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Nanfang Hospital · CNSouthern Medical University · CNChinese Academy of Medical Sciences & Peking Union Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: CD161, encoded by killer cell lectin-like receptor B1 gene, is a newly reported candidate inhibitor of tumour-infiltrating T cells. Antibody-mediated CD161 blockade enhances T cell-mediated killing of cancer cells Methods: CD161 expression was analysed using RNAseq data from TCGA and the Genotype-Tissue Expression (GTEx) database. HPA, GeneCards, and String database were used to explore the protein information of CD161. The prognostic value of CD161 was analysed using clinical survival data from the TCGA. Enrichment analysis of CD161 was conducted using the R package "clusterProfiler". We downloaded the immune cell infiltration score of TCGA samples from published articles and online databases and performed a correlation analysis between immune cell infiltration levels and CD161 expression. We further assessed the association between CD161 and immune checkpoints, immune activating genes, immunosuppressive genes, chemokines, and chemokine receptors. Findings: CD161 was differentially expressed and predicted better survival status in most tumour types in TCGA. In addition, CD161 expression was significantly associated with immunoregulatory interactions between lymphoid and non-lymphoid cells. CD161 expression was closely correlated with T cell infiltration, immune checkpoints, immune activating genes, immunosuppressive genes, chemokines, and chemokine receptors. Interpretation: Our results suggest that CD161 is a potential cancer biomarker. CD161 might synergize with other immune checkpoints to regulate the immune microenvironment, which could be applied in the development of new-targeted drugs for immunotherapy. Funding: This work was supported by the National Nature Science Foundation of China (grant numbers 81773008, 81672756, 81872399, 81972897), the Guangdong Province Universities and Colleges Pearl River Scholar Funded Scheme (2015), the Natural Science Foundation of Guangdong Province (grant number 2017A030311023), the Local Innovative and Research Teams Project of Guangdong Pearl River Talents Program: 2017BT01S131 and the Guangzhou Technology Project (grant number 201804010044), National Key R&D Program of China (Grant Nos. 2020YFC2006400), Key-Area Research and Development Program of Guangdong Province (2019B020227004).

Indexed as

Biomarkers, TumorChemokinesDatabases, GeneticDisease-Free SurvivalHumansImmune Checkpoint InhibitorsImmune Checkpoint ProteinsImmunotherapyLymphocytes, Tumor-InfiltratingMolecular Targeted TherapyNeoplasmsNK Cell Lectin-Like Receptor Subfamily BPredictive Value of TestsProgression-Free SurvivalReceptors, ChemokineRisk AssessmentBiomarkers, TumorChemokinesImmune Checkpoint InhibitorsImmune Checkpoint ProteinsKLRB1 protein, humanNK Cell Lectin-Like Receptor Subfamily BReceptors, ChemokineCD161immune checkpointsimmune microenvironmentimmunotherapyTCGA

Identifiers

PMID34305920
PMCPMC8299557
OpenAlexW3178989970

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.