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身体成分与血液系统恶性肿瘤之间的因果关系:多变量孟德尔随机化分析

Causal relationships between body composition and hematological malignancies: a multivariable mendelian randomization analysis.

作者信息

Liu Shan, Lin Yaobin, Wang Zhihong

机构信息

Department of Hematology-Oncology, College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fujian Children's Hospital, Fuzhou, Fujian, China.

Department of Radiation Oncology, Fujian Medical University Union Hospital, Fujian Key Laboratory of Intelligent Imaging and Precision Radiotherapy for Tumors (Fujian Medical University), Clinical Research Center for Radiology and Radiotherapy of Fujian Province (Digestive, Hematological and Breast Malignancies), FuzhouFujian, 350001, China.

出版信息

Cancer Causes Control. 2025 Mar 4. doi: 10.1007/s10552-025-01980-x.

Abstract

BACKGROUND

The relationship between body composition and hematological malignancies is poorly understood. Using mendelian randomization (MR) analysis, this study aimed to assess the genetic associations between body composition and hematological malignancies.

METHODS

Data from the UK Biobank Genome-Wide Association Studies database, which includes approximately 500,000 participants aged 40-69 years, were utilized. Multivariable MR analysis and the inverse-variance weighted (IVW) method were employed to assess the causal link between exposures and outcomes. Sensitivity analyses were performed to evaluate the heterogeneity and pleiotropy of the instrumental variables.

RESULTS

The univariable MR analysis revealed that specific body composition parameters, including arm fat-free mass (left and right), trunk-predicted mass, whole-body fat-free mass, and whole-body water mass, were associated with an increased leukemia risk. Arm fat-free mass (right) and fat mass (left and right); leg fat-free mass (left and right) and fat mass (left and right); trunk fat-free mass, fat mass, and predicted mass; and whole-body fat-free mass, fat mass, and water mass were associated with an increased lymphoma risk. However, no causal relationship was observed between body composition parameters and multiple myeloma. In the multivariable MR analysis, height [odds ratio (OR) = 1.004, p = 0.040] was identified as an independent risk factor for lymphoma, while the waist-to-hip ratio (OR = 1.003, p = 0.004) increased the risk of multiple myeloma.

CONCLUSION

Height increases the risk of lymphoma, while the waist-to-hip ratio is a risk factor for multiple myeloma. These findings offer further evidence supporting a causal relationship between body composition and hematological malignancies.

摘要

背景

人体成分与血液系统恶性肿瘤之间的关系尚不清楚。本研究采用孟德尔随机化(MR)分析,旨在评估人体成分与血液系统恶性肿瘤之间的遗传关联。

方法

使用英国生物银行全基因组关联研究数据库中的数据,该数据库包含约50万名年龄在40-69岁之间的参与者。采用多变量MR分析和逆方差加权(IVW)方法评估暴露因素与结局之间的因果关系。进行敏感性分析以评估工具变量的异质性和多效性。

结果

单变量MR分析显示,特定的人体成分参数,包括手臂去脂体重(左右)、躯干预测质量、全身去脂体重和全身水质量,与白血病风险增加相关。手臂去脂体重(右)和脂肪量(左右);腿部去脂体重(左右)和脂肪量(左右);躯干去脂体重、脂肪量和预测质量;以及全身去脂体重、脂肪量和水质量与淋巴瘤风险增加相关。然而,未观察到人体成分参数与多发性骨髓瘤之间存在因果关系。在多变量MR分析中,身高[比值比(OR)=1.004,p=0.040]被确定为淋巴瘤的独立危险因素,而腰臀比(OR=1.003,p=0.004)增加了多发性骨髓瘤的风险。

结论

身高增加淋巴瘤风险,而腰臀比是多发性骨髓瘤的危险因素。这些发现为支持人体成分与血液系统恶性肿瘤之间的因果关系提供了进一步的证据。

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