子宫内膜癌免疫细胞表型数据集

基于孟德尔随机化分析731种免疫细胞表型与子宫内膜癌因果关系的遗传统计数据。

Lin, Qianya; Chen, Beilei; Ye, Lingfang; Cen, MengLin, Qianya; Chen, Beilei; Ye, Lingfang; Cen, Meng
Taylor & Francis Group
2025-12-12 更新
浏览 27
表格Endometrial cancerimmune cellsMendelian randomisation
Immune cell phenotype in endometrial cancer: from biological significance to clinical utility using Mendelian randomisation analysis

基本信息

模态
表格
大小
0.000227439 GB
许可
CC BY 4.0
创建/更新时间
2025-12-12
版本
v1

资源简介

子宫内膜癌免疫细胞表型数据集

【一句话概览】

本数据集是 figshare 公开的结构化表格数据集,收录 2 个文件、合计 227.44 KB,主题涵盖 Endometrial cancer、immune cells、Mendelian randomisation,可用于统计建模、特征工程与队列分析,CC BY 4.0 许可开放获取。

【数据集背景】

本数据集源站标题为《Immune cell phenotype in endometrial cancer: from biological significance to clinical utility using Mendelian randomisation analysis》。配套论文《Immune cell phenotype in endometrial cancer: from biological significance to clinical utility using Mendelian randomisation analysis》发表于 Journal of Obstetrics and Gynaecology(2025),DOI:10.1080/01443615.2025.2541610。项目资助方:This work was funded by the Medical Science and Technology Project of Zhejiang Province [Grant Numbers: 2024KY346].。源站首次发布:2025-08-07。

【数据内容】

源站原始描述:We investigated the relationship between immune cells and endometrial cancer by conducting a two-sample bidirectional Mendelian randomisation (MR) analysis. MR uses genetic variation as an instrumental variable to study the causal effects of exposure on observed data outcomes. We conducted a dual-sample MR analysis to investigate the causal relationship between 731 immune cell phenotypes and endometrial cancer (EC). The weighted-median method and inverse variance weighted method MR were mainly u…

【数据结构与技术规格】

文件数 2 个,合计 227.44 KB。ijog_a_2541610_sm2551.xls:application/vnd.ms-excel,142.34 KB。ijog_a_2541610_sm2550.pdf:application/pdf,85.10 KB。数据集 DOI:10.6084/m9.figshare.29853056.v1。

【主题与分类】

源站学科分类:Immunology、Biological Sciences not elsewhere classified、Mathematical Sciences not elsewhere classified、Science Policy。主题标签:Endometrial cancer、immune cells、Mendelian randomisation。

【适用方向】

结构化表格数据可直接用于统计建模、特征工程与队列分析。

【获取与许可】

源站页面:https://tandf.figshare.com/articles/dataset/Immune_cell_phenotype_in_endometrial_cancer_from_biological_significance_to_clinical_utility_using_Mendelian_randomisation_analysis/29853056

使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。

规范引用:Immune cell phenotype in endometrial cancer: from biological significance to clinical utility using Mendelian randomisation analysis. Taylor & Francis. Ye, Lingfang; Chen, Beilei; Cen, Meng; Lin, Qianya

【使用注意】

· 源站最后修改于 2025-12-12,引用时请注意版本时效。

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下载信息

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使用方式

数据集获取(Figshare)

命令行下载

curl -L -o "ijog_a_2541610_sm2551.xls" "https://ndownloader.figshare.com/files/57010943"
curl -L -o "ijog_a_2541610_sm2550.pdf" "https://ndownloader.figshare.com/files/57010946"

文件清单

  • ijog_a_2541610_sm2551.xls(142.34 KB)
  • ijog_a_2541610_sm2550.pdf(85.10 KB)

文件总体积 227.44 KB(源站 API 实测)。

数据说明

We investigated the relationship between immune cells and endometrial cancer by conducting a two-sample bidirectional Mendelian randomisation (MR) analysis.
MR uses genetic variation as an instrumental variable to study the causal effects of exposure on observed data outcomes. We conducted a dual-sample MR analysis to investigate the causal relationship between 731 immune cell phenotypes and endometrial cancer (EC). The weighted-median method and inverse variance weighted method MR were mainly used, and the p-value was corrected with the Benjamini-Hochberg procedure.
The forward MR analysis revealed a causal relationship between EC and eight immune-cell phenotypes. The reverse MR analysis identified two immune-cell phenotypes with a potential causal effect on EC, with additional subtype-specific associations observed for endometrioid and non-endometrioid histology.
Our study demonstrated a causal relationship between immune cells and EC, thereby providing guidance for the development of future immunoregulatory therapeutic strategies.
Endometrial cancer (EC), a type of cancer that begins in the lining of the uterus, may be influenced by the immune system. In this study, we used a genetic analysis method called Mendelian randomisation to explore whether certain types of immune cells play a role in causing or being affected by endometrial cancer. By analysing genetic data from large studies, we examined over 700 immune cell traits to see if they are linked to EC. We found that some immune cell types may be influenced by having EC, while a few others might actually contribute to the development of the disease. Interestingly, these relationships were different depending on the specific type of endometrial cancer. Our findings suggest that the immune system and endometrial cancer affect each other in complex ways. This information may help guide future research and lead to new treatments that target the immune system to better manage or prevent this type of cancer.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.6084/m9.figshare.29853056.v1(source: https://tandf.figshare.com/articles/dataset/Immune_cell_phenotype_in_endometrial_cancer_from_biological_significance_to_clinical_utility_using_Mendelian_randomisation_analysis/29853056)。

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