Evidence map›Paper›PMID 33748290›Full record

ArticleJournal of immunology research2021

Coexpressed Genes That Promote the Infiltration of M2 Macrophages in Melanoma Can Evaluate the Prognosis and Immunotherapy Outcome.

Kexin Yan, Yutao Wang, Yuxiu Lu, Zhangyong Yan

Open access · goldAbstract read
In one paragraph

Article in Journal of immunology research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
1.9field-weighted citation impact, top 11% 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

19 citing papers in PubMed, 24 citations in OpenAlex.

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  10. Tumor Cells Modulate Macrophage Phenotype in a Novel In Vitro Co-Culture Model of the NSCLC Tumor Microenvironment.Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer · 2022
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  16. A CD8Frontiers in immunology · 2022
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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

4 authors at 2 institutions in 1 country.

Kexin YanDepartment of Dermatology, China Medical University, The First Hospital of China Medical University, Shenyang, Liaoning, China.ORCID https://orcid.org/0000-0001-5295-1877
Yutao WangDepartment of Urology, China Medical University, The First Hospital of China Medical University, Shenyang, Liaoning, China.ORCID https://orcid.org/0000-0002-7343-5369
Yuxiu LuDepartment of Pharmacy, Fuzhou No. 1 Hospital Affiliated with Fujian Medical University, Fuzhou, Fujian, China.ORCID https://orcid.org/0000-0003-1693-4062
Zhangyong YanDepartment of Stomatology, Fuzhou No. 1 Hospital Affiliated with Fujian Medical University, Fuzhou, Fujian, China.ORCID https://orcid.org/0000-0003-0291-8205
First Hospital of China Medical University · CNFujian Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo improve immunotherapy efficacy for melanoma, a coexpression network and key genes of M2 macrophages in melanoma were explored. A prognostic risk assessment model was established for M2-related coexpressed genes, and the role of M2 macrophages in the immune microenvironment of melanoma was elucidated.

methodWe obtained mRNA data from melanoma and peritumor tissue samples from The Cancer Genome Atlas-skin cutaneous melanoma (TCGA-SKCM). Then, we used CIBERSORT to calculate the proportion of M2 macrophage cells. A coexpression module most related to M2 macrophages in TCGA-SKCM was determined by analyzing the weighted gene coexpression network, and a coexpression network was established. After survival analysis, factors with significant results were incorporated into a Cox regression analysis to establish a model. The model's essential genes were analyzed using functional enrichment, GSEA, and subgroup and total carcinoma. Finally, external datasets GSE65904 and GSE78220 were used to verify the prognostic risk model.

resultsThe yellow-green module was the coexpression module most related to M2 macrophages in TCGA-SKCM; NOTCH3, DBN1, KDELC2, and STAB1 were identified as the essential genes that promoted the infiltration of M2 macrophages in melanoma. These genes are concentrated in antigen treatment and presentation, chemokine, cytokine, the T cell receptor pathway, and the IFN-

conclusionWe proposed a Cox proportional hazards regression model associated with coexpression genes of melanoma M2 macrophages that may provide a measurement method for generating prognosis scores in patients with melanoma. Four genes coexpressed with M2 macrophages were associated with high levels of infiltration of M2 macrophages. Our findings may provide significant candidate biomarkers for the treatment and monitoring of melanoma.

Indexed as

Biomarkers, TumorCell MovementCytokinesGene Expression Regulation, NeoplasticGene Regulatory NetworksHumansImmunotherapyLogistic ModelsMacrophage ActivationMacrophagesMelanomaPrognosisReceptor, Notch3Skin NeoplasmsSurvival AnalysisTh2 CellsBiomarkers, TumorCytokinesReceptor, Notch3

Identifiers

PMID33748290
PMCPMC7959968
OpenAlexW3135548580

What OpenQuestion holds

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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.