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利用孟德尔随机化评估端粒长度对口腔癌和口咽癌风险的影响。

Evaluating the Effect of Telomere Length on Oral and Oropharyngeal Cancer Risk Using Mendelian Randomization.

作者信息

Lan Li, Zhang Ruizhe, Liang Ya, Chen Huarong, Zhao Houyu, Zhuo Xianlu

机构信息

Department of Otolaryngology, The Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou Province, China; Hearing Center, Guizhou Provincial People's Hospital, Guiyang, Guizhou Province, China.

Department of Otolaryngology, The Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou Province, China.

出版信息

Int Dent J. 2025 Apr;75(2):575-585. doi: 10.1016/j.identj.2024.07.1218. Epub 2024 Sep 21.

Abstract

INTRODUCTION

The aim of this study was to explore the causal relationship between telomere length and Oral and oropharyngeal cancers by using Mendelian randomization (MR) analysis.

METHODS

We carried out a 2-sample MR to examine the causal association between telomere length and Oral and oropharyngeal cancers. Two large genome-wide association studies (GWAS) were employed to identify single nucleotide polymorphisms (SNPs) as instrumental variables through statistical and biological approaches. The data on SNP-oral and oropharyngeal cancer risk factor associations were sourced from various consortia/UK Biobank. The inverse variance weighted (IVW) method was employed as the primary approach for overall causal estimation in MR, with sensitivity analyses conducted to assess potential confounding by pleiotropy, heterogeneity, and the leave-one-out analysis.

RESULTS

The statistically driven approach indicates limited evidence of a genetically causal effect of telomere length on the risk of oral cavity cancer (OR = 0.999, 95% CI 0.998-1.000, P = .100), oropharyngeal cancer (OR = 0.999, 95% CI 0.998-1.001, P = .650), combined oral and oropharyngeal cancer (OR = 0.999, 95% CI 0.998-1.000, P = .119) in Europeans. The biologically driven approach demonstrated consistent causal effects across all MR methods, thereby further strengthening the reliability of the results. Moreover, the MR-Egger (Q [df] 170.816 [130], P = .009) and inverse variance weighted methods (Q [df] 171.656 [131], P = .010) identified considerable heterogeneity among instrumental variable estimates in Oral cavity cancer, and no evidence of horizontal pleiotropy was detected.

CONCLUSIONS

No significant causal associations between telomere length and Oral and oropharyngeal cancers were found in this study.

摘要

引言

本研究的目的是通过孟德尔随机化(MR)分析来探索端粒长度与口腔癌和口咽癌之间的因果关系。

方法

我们进行了一项两样本MR研究,以检验端粒长度与口腔癌和口咽癌之间的因果关联。通过统计和生物学方法,采用两项大型全基因组关联研究(GWAS)来确定单核苷酸多态性(SNP)作为工具变量。SNP与口腔和口咽癌风险因素关联的数据来自不同的联盟/英国生物银行。逆方差加权(IVW)方法被用作MR中总体因果估计的主要方法,并进行敏感性分析以评估潜在的多效性、异质性混杂以及留一法分析。

结果

统计驱动的方法表明,在欧洲人中,端粒长度对口腔癌风险(OR = 0.999,95% CI 0.998 - 1.000,P = 0.100)、口咽癌风险(OR = 0.999,95% CI 0.998 - 1.001,P = 0.650)、口腔和口咽联合癌风险(OR = 0.999,95% CI 0.998 - 1.000,P = 0.119)的遗传因果效应证据有限。生物学驱动的方法在所有MR方法中都显示出一致的因果效应,从而进一步加强了结果的可靠性。此外,MR-Egger方法(Q [自由度] 170.816 [130],P = 0.009)和逆方差加权方法(Q [自由度] 171.656 [131],P = 0.010)在口腔癌的工具变量估计中发现了相当大的异质性,并且未检测到水平多效性的证据。

结论

本研究未发现端粒长度与口腔癌和口咽癌之间存在显著的因果关联。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3f1/11976593/ed5b93e5f409/gr1.jpg

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