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揭示隐藏的因果联系:皮肤微生物群与皮肤黑色素瘤。

Unveiling the hidden causal links: skin flora and cutaneous melanoma.

作者信息

Zhang Zexin, Wu Wenfeng, Lin Jiajia, Li Hongyi

机构信息

The Second Clinical School of Guangzhou University of Chinese Medicine, Guangzhou, China.

Department of Dermatology, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.

出版信息

Front Oncol. 2024 Dec 11;14:1451175. doi: 10.3389/fonc.2024.1451175. eCollection 2024.

Abstract

OBJECTIVE

The presence of skin flora (SF) has been identified as a significant factor in the onset and progression of cutaneous melanoma (CM). However, the vast diversity and abundance of SF present challenges to fully understanding the causal relationship between SF and CM.

METHODS

A Two Sample Mendelian Randomization (TSMR) analysis was conducted to investigating the causal relationship between SF and CM. The Inverse-Variance Weighted (IVW) method was utilized as the primary approach to assess the causal relationship under investigation. Furthermore, an independent external cohort was employed to validate the initial findings, followed by a meta-analysis of the consolidated results. To address potential confounding factors related to the influence of SF on CM, a Multivariate Mendelian Randomization (MVMR) analysis was also conducted. Finally, a Reverse Mendelian Randomization (RMR) was conducted to further validate the causal association.

RESULTS

TSMR results showed that 9 SF have a causal relationship with CM in the training cohort. Although these 9 SF weren't confirmed in the testing cohort, 4 SF remained significant in the meta-analysis after integrating results from both cohorts. MVMR analysis indicated that 3 SF were still significantly associated with CM after accounting for the interactions between different SF in the training cohort. No reverse causal relationship was identified in RMR analysis.

CONCLUSION

A total of 9 SF were identified as having a potential causal relationship with CM; however, a large randomized controlled trial is needed to verify these results.

摘要

目的

皮肤菌群(SF)的存在已被确定为皮肤黑色素瘤(CM)发病和进展的一个重要因素。然而,SF的巨大多样性和丰富性给全面理解SF与CM之间的因果关系带来了挑战。

方法

进行了一项两样本孟德尔随机化(TSMR)分析,以研究SF与CM之间的因果关系。采用逆方差加权(IVW)方法作为评估所研究因果关系的主要方法。此外,还采用了一个独立的外部队列来验证初步结果,随后对综合结果进行荟萃分析。为了解决与SF对CM影响相关的潜在混杂因素,还进行了多变量孟德尔随机化(MVMR)分析。最后,进行了反向孟德尔随机化(RMR)分析以进一步验证因果关联。

结果

TSMR结果显示,在训练队列中9种SF与CM存在因果关系。尽管在测试队列中未证实这9种SF,但在整合两个队列的结果后,4种SF在荟萃分析中仍具有显著性。MVMR分析表明,在考虑训练队列中不同SF之间的相互作用后,3种SF仍与CM显著相关。在RMR分析中未发现反向因果关系。

结论

共确定9种SF与CM存在潜在因果关系;然而,需要进行大规模随机对照试验来验证这些结果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4144/11668787/49f8dafec47d/fonc-14-1451175-g001.jpg

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