Evidence map›Paper›PMID 34858419›Full record

ArticleFrontiers in immunology2021

Pattern Recognition Receptors (PRRs) in Macrophages Possess Prognosis and Immunotherapy Potential for Melanoma.

Qihang Zhao, Qiang Wang, Tengjiao Wang, Junfang Xu, Tingting Li, Qiuyan Liu, Qinghua Yao, Pin Wang

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 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.6field-weighted citation impact, top 36% 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

10 citing papers in PubMed, 13 citations in OpenAlex.

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  6. Orchestration of Tumor-Associated Macrophages in the Tumor Cell-Macrophage-CD8International journal of biological sciences · 2025
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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

8 authors at 4 institutions in 1 country.

Qihang ZhaoNational Key Laboratory of Medical Immunology, Institute of Immunology, Navy Medical University, Shanghai, China.
Qiang WangBeijing Friendship Hospital, Capital Medical University, Beijing, China.
Tengjiao WangCentre for Translational Medicine, Navy Medical University, Shanghai, China.
Junfang XuNational Key Laboratory of Medical Immunology, Institute of Immunology, Navy Medical University, Shanghai, China.
Tingting LiCollege of Medical Technology, Shanghai University of Medicine & Health Sciences, Shanghai, China.
Qiuyan LiuNational Key Laboratory of Medical Immunology, Institute of Immunology, Navy Medical University, Shanghai, China.
Qinghua YaoDepartment of Integrated Chinese and Western Medicine, Cancer Hospital of University of Chinese Academy of Science, Institute of Cancer Research and Basic Medical Sciences of Chinese Academy of Sciences, Zhejiang Cancer Hospital, Hangzhou, China.
Pin WangNational Key Laboratory of Medical Immunology, Institute of Immunology, Navy Medical University, Shanghai, China.
Capital Medical University · CNShanghai University of Medicine and Health Sciences · CNTongji University · CNZhejiang Cancer Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Pattern recognition receptors (PRRs) family plays a vital role in the initial stage of innate immune response and the subsequent activation of adaptive immunity. Increasing evidences have indicated that several PRRs play critical roles in the progress of inflammation and tumorigenesis. However, the comprehensive significance of PRRs family in clinical prognosis of different cancers is still elusive. Methods: We analyzed expression of 20 canonical PRRs in tumor samples from 9502 patients of 33 tumor types. Next, we used expression profiles of PRRs in skin cutaneous melanoma (SKCM) to build a Cox prognosis model. Then, we analyzed immune infiltration features and immune activity of high risk score and low risk score patients. Finally, we analyzed the single-cell sequencing data of different cancers and detected the expression of PRRs in mouse melanoma model to identify PRRs-expressing cell types. Results: We found PRRs had a significantly positive correlation with prognosis in SKCM rather than other tumors, and PRR-based Cox model had a much better prognosis potential than any single PRR. Further analysis shows risk score could indicate immunocyte infiltration and immune activity in SKCM. We also found the expressions of some PRR genes were highly correlated with the expression of immune checkpoints molecules in SKCM, indicating they could be indicators for clinical immune therapy. Finally, we found only in SKCM samples, the expression of PRRs is especially high in a subpopulation of macrophages with a trait of CD206 low expression, probably explaining why PRRs have prognosis potential in melanoma. Conclusions: Our study reveals PRR family in macrophages has a positive prognosis potential in melanoma and could be valuable for clinical prognosis and immune therapy.

Indexed as

ImmunotherapyAnimalsCutaneous Malignant MelanomaMacrophagesMelanomaMiceMice, Inbred C57BLPrognosisReceptors, Pattern RecognitionSingle-Cell AnalysisSkin NeoplasmsReceptors, Pattern Recognitionimmune-infiltrationmacrophagepattern recognition receptorsprognosisskin cutaneous melanoma

Identifiers

PMID34858419
PMCPMC8630683
OpenAlexW3211599593

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Registered trials

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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.