Evidence map›Paper›PMID 40527765›Full record

ArticleMedicine2025

Exploring the causal relationship between immune cell characteristics and melanoma: A two-way Mendelian randomization study.

Shanshan Wang, Hailong Xing

Abstract read
In one paragraph

Article in Medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Shanshan WangDepartment of Dermatovenereology, Binzhou Central Hospital, Binzhou, Shandong, China.ORCID 0009-0007-2508-1918
Hailong XingDepartment of Neurosurgery, Binzhou Medical University Hospital, Binzhou, Shandong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Melanoma skin cancer occurs mostly in melanocytes, with a high degree of malignancy and poor prognosis. The continuous development of Mendelian stochastic analysis in the field of medicine has led to the discovery of new therapeutic genes and drug targets for many diseases. Therefore, we aim to discover more possible melanoma therapeutic targets through Mendelian randomization analysis. Based on the published genome-wide association study data, 2-sample MR was used to analyze the 2-way causal relationship between 731 immune cell characteristics and melanoma skin cancer. The results of the inverse variance weighted method were used as the main screening criteria to obtain the characteristics of immune cells associated with melanoma. Heterogeneity analysis, multiplicity analysis and one-to-one elimination test also ensure the robustness and sensitivity of the results. We obtained 26 related immune cell characteristics, of which 15 immune cell characteristics are protective factors for melanoma. Including CD25 on transitional B cell, switched memory B cell, IgD+ CD38- B cell, BAFF-R on transitional B cell, CD38 on IgD+ CD38dim B cell, CD24+ CD27+ B cell, CD39+ activated CD4 regulatory T cell, BAFF-R on IgD- CD38- B cell, BAFF-R on IgD+ CD38+ B cell, CD28 on CD4 regulatory T cell, CD66b on CD66b++ myeloid cell, CD25 on CD24+ CD27+ B cell, BAFF-R on switched memory B cell, CD11b on granulocytic myeloid-derived suppressor cells and CD4RA on terminally differentiated CD4+ T cell. 11 immune cell characteristics were risk factors, including CD14+ CD16- monocyte, CD25++ CD45RA- CD4 not regulatory T cell absolute count, activated CD4 regulatory T cell absolute count, CD39+ CD8+ T cell absolute count, CCR2 on myeloid dendritic cell, CD127 on CD45RA+ CD4+ T cell, CD11c+ monocyte, CD3 on central memory CD8+ T cell, CD4+/CD8+ T cell, CD3 on HLA DR+ CD4+ T cell and CD4- CD8- T cell. Reverse analysis showed that melanoma had no effect on immune cell characteristics. Our study used MR method to analyze the causal relationship between 731 immune cell characteristics and melanoma from a genetic point of view, which provides more possible ways for the treatment of melanoma patients.

Indexed as

MelanomaSkin NeoplasmsB-LymphocytesGenome-Wide Association StudyHumansMendelian Randomization Analysiscausal reasoningimmunitymelanoma skin cancerMendelian randomized analysis

Identifiers

PMID40527765
PMCPMC12173254

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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.