Evidence map›Paper›PMID 33846258›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2021

CCRL2 promotes antitumor T-cell immunity via amplifying TLR4-mediated immunostimulatory macrophage activation.

Wei Yin, Yihong Li, Yan Song, Jiarui Zhang, Chao Wu, Yu Chen, Ying Miao, Changdong Lin, Yuli Lin, Dapeng Yan and 2 more

Open access · greenAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed
4.2field-weighted citation impact, top 5% 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

43 citing papers in PubMed, 69 citations in OpenAlex.

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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

12 authors at 3 institutions in 2 countries.

Wei YinDepartment of Immunology and Key Laboratory of Medical Molecular Virology of Ministries of Education and Health, School of Basic Medical Sciences, Fudan University, Shanghai, 200032, China.ORCID 0000-0001-8948-781X
Yihong LiDepartment of Immunology and Key Laboratory of Medical Molecular Virology of Ministries of Education and Health, School of Basic Medical Sciences, Fudan University, Shanghai, 200032, China.
Yan SongDepartment of Immunology and Key Laboratory of Medical Molecular Virology of Ministries of Education and Health, School of Basic Medical Sciences, Fudan University, Shanghai, 200032, China.
Jiarui ZhangDivision of Computational Biomedicine, Boston University School of Medicine, Boston, MA 02118.ORCID 0000-0001-9639-4056
Chao WuDepartment of Immunology and Key Laboratory of Medical Molecular Virology of Ministries of Education and Health, School of Basic Medical Sciences, Fudan University, Shanghai, 200032, China.
Yu ChenDepartment of Immunology and Key Laboratory of Medical Molecular Virology of Ministries of Education and Health, School of Basic Medical Sciences, Fudan University, Shanghai, 200032, China.
Ying MiaoDepartment of Dermatology, Huashan Hospital, Fudan University, Shanghai, 200040, China.
Changdong LinState Key Laboratory of Cell Biology, Chinese Academy of Sciences Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Shanghai, 200031, China.ORCID 0000-0002-6766-3699
Yuli LinDepartment of Immunology and Key Laboratory of Medical Molecular Virology of Ministries of Education and Health, School of Basic Medical Sciences, Fudan University, Shanghai, 200032, China.ORCID 0000-0002-8779-2471
Dapeng YanDepartment of Immunology and Key Laboratory of Medical Molecular Virology of Ministries of Education and Health, School of Basic Medical Sciences, Fudan University, Shanghai, 200032, China.
Jianfeng ChenState Key Laboratory of Cell Biology, Chinese Academy of Sciences Center for Excellence in Molecular Cell Science, Shanghai Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Shanghai, 200031, China.
Rui HeDepartment of Immunology and Key Laboratory of Medical Molecular Virology of Ministries of Education and Health, School of Basic Medical Sciences, Fudan University, Shanghai, 200032, China; ruihe@fudan.edu.cn.ORCID 0000-0001-5288-9786
Fudan University · CNCenter for Excellence in Molecular Cell Science · CNBoston University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Macrophages are the key regulator of T-cell responses depending on their activation state. C-C motif chemokine receptor-like 2 (CCRL2), a nonsignaling atypical receptor originally cloned from LPS-activated macrophages, has recently been shown to regulate immune responses under several inflammatory conditions. However, whether CCRL2 influences macrophage function and regulates tumor immunity remains unknown. Here, we found that tumoral CCRL2 expression is a predictive indicator of robust antitumor T-cell responses in human cancers. CCRL2 is selectively expressed in tumor-associated macrophages (TAM) with immunostimulatory phenotype in humans and mice. Conditioned media from tumor cells could induce CCRL2 expression in macrophages primarily via TLR4, which is negated by immunosuppressive factors.

Indexed as

AnimalsCD8-Positive T-LymphocytesChinaFemaleImmunizationMacrophage ActivationMaleMelanomaMiceNeoplasmsNF-kappa BReceptors, CCRSignal TransductionT-LymphocytesToll-Like Receptor 4Tumor-Associated MacrophagesCcrl2 protein, mouseNF-kappa BReceptors, CCRTlr4 protein, mouseToll-Like Receptor 4antitumor T-cell immunityCCRL2TLR4tumor associated macrophages

Identifiers

PMID33846258
PMCPMC8072249
OpenAlexW3156114136

What OpenQuestion holds

Textmetadata
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.