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Causal association between skin cancer and immune cells: mendelian randomization (MR) study

孟德尔随机化 医学 外科肿瘤学 联想(心理学) 免疫系统 肿瘤科 癌症 因果推理 内科学 免疫学 遗传学 病理 生物 基因 基因型 心理学 心理治疗师 遗传变异
作者
Wei Yin,Ruilei Li,Zhaoqi Zhang,Ying Wang,Xinghua Tang,Lin Zhu,Hong Yao,Ke Li
出处
期刊:BMC Cancer [BioMed Central]
卷期号:24 (1)
标识
DOI:10.1186/s12885-024-12603-0
摘要

Abstract Background Numerous meta-analyses and clinical studies have shown that subtypes of immune cells are associated with the development of skin cancer, but it is not clear whether this association is causal or biased. Mendelian randomization (MR) analysis reduces the effect of confounding factors and improves the accuracy of the results when compared to traditional studies. Thus, in order to examine the causal relationship between various immune cell and skin cancer, this study employs two-sample MR. Methods This study assesses the causal association between 731 immune cell characteristics and skin cancer using a two-sample Mendel randomization (MR) methodology. Multiple MR methods were used to bias and to derive reliable estimates of causality between instrumental variables and outcomes. Comprehensive sensitivity analyses were used to validate the stability, heterogeneity and horizontal multiplicity of the results. Results We discovered that potential causal relationships between different types of immune cells and skin cancer disease. Specifically, one type of immune cell as potentially causal to malignant melanoma of skin (MM), eight different types of immune cells as potentially causal to basal cell carcinoma (BCC), four different types of immune cells as potentially causal to actinic keratosis (AK), and no different types of immune cells were found to have a potential causal association with squamous cell carcinoma(SCC), with stability in all of the results. Conclusion This study demonstrates the close connection between immune cells and skin cancer disease by genetic means, which enriches the current knowledge about the role of immune cells in skin cancer and also contributes to the design of therapeutic strategies from an immunological perspective.

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