Mendelian randomization study of the association between cathepsins and melanoma

Wenwen Wang, Jun Li
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Abstract

. Malignant melanoma is a skin tumor with a poor prognosis. Therefore, it is critical to explore the risk factors associated with the outcome of this tumor. In the present study, Mendelian randomization (MR) was used to investigate the causal association between cathepsins and malignant melanoma. Summary statistical data on five cathepsins from European participants were extracted as exposure data. Data on melanoma from a genome‑wide association study of European ancestry were used as outcome data. Single nucleotide polymorphisms associated with cathepsins were used as instrumental variables (IVs). In a genome‑wide association study of malignant melanoma including 3,751 melanoma cases and 372,016 European ancestry controls, MR analysis was conducted to examine the effects of these IVs on melanoma. The inverse variance‑weighted method was used for MR analysis. In addition, MR‑Egger, weighted median and MR pleiotropy residual sum were used for complemen‑ tary analyses. Furthermore, a series of sensitivity analyses were performed to ensure the validity and robustness of the results. The gene‑predicted results indicated no causal asso‑ ciation between the five cathepsins and malignant melanoma (P>0.05). Cathepsin S [odds ratio (OR), 1.000; 95% confidence interval (CI), 0.999‑1.001; P=0.943], cathepsin B (OR, 1.000; 95% CI, 0.999‑1.001; P=0.763), cathepsin O (OR, 1.000; 95% CI, 0.999‑1.001; P=0.646), cathepsin E (OR, 0.999; 95% CI, 0.998‑1.001; P=0.375) and cathepsin L2 (OR, 1.101; 95% CI, 0.831‑1.458; P=0.503) were not significantly associated with the risk of developing melanoma. Sensitivity analysis demonstrated no significant bias in the aforementioned results.
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蛋白酶与黑色素瘤关系的孟德尔随机研究
.恶性黑色素瘤是一种预后不良的皮肤肿瘤。因此,探索与该肿瘤预后相关的风险因素至关重要。本研究采用孟德尔随机法(Mendelian randomization,MR)研究胰蛋白酶与恶性黑色素瘤之间的因果关系。研究人员从欧洲参与者中提取了五种胰蛋白酶的汇总统计数据作为暴露数据。来自欧洲血统的全基因组关联研究的黑色素瘤数据被用作结果数据。与胰蛋白酶相关的单核苷酸多态性被用作工具变量(IV)。在一项包括 3751 例黑色素瘤病例和 372 016 例欧洲血统对照的恶性黑色素瘤全基因组关联研究中,进行了 MR 分析,以检验这些 IV 对黑色素瘤的影响。MR 分析采用了反方差加权法。此外,还使用了 MR-Egger、加权中位数和 MR 多向性残差总和进行补充分析。此外,还进行了一系列敏感性分析,以确保结果的有效性和稳健性。基因预测结果表明,五种酪蛋白与恶性黑色素瘤之间没有因果关系(P>0.05)。胰蛋白酶 S [几率比(OR),1.000;95% 置信区间(CI),0.999-1.001;P=0.943]、胰蛋白酶 B(OR,1.000;95% CI,0.999-1.001;P=0.763)、胰蛋白酶 O(OR,1.000;95% CI,0.999-1.001;P=0.646)、酪蛋白酶 E(OR,0.999;95% CI,0.998-1.001;P=0.375)和酪蛋白酶 L2(OR,1.101;95% CI,0.831-1.458;P=0.503)与罹患黑色素瘤的风险无显著相关性。敏感性分析表明上述结果无明显偏差。
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