Evidence map›Paper›PMID 39307671›Full record

ArticleInternational dental journal2025

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

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

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Article in International dental journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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6 authors.

Li LanDepartment of Otolaryngology, The Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou Province, China; Hearing Center, Guizhou Provincial People's Hospital, Guiyang, Guizhou Province, China.
Ruizhe ZhangDepartment of Otolaryngology, The Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou Province, China.
Ya LiangDepartment of Otolaryngology, The Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou Province, China.
Huarong ChenDepartment of Otolaryngology, The Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou Province, China.
Houyu ZhaoDepartment of Otolaryngology, The Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou Province, China. Electronic address: zhaohouyu@gmc.edu.cn.
Xianlu ZhuoDepartment of Otolaryngology, The Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou Province, China. Electronic address: zhuoxianlu@gmc.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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

methodsWe 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.

resultsThe 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.

conclusionsNo significant causal associations between telomere length and Oral and oropharyngeal cancers were found in this study.

Indexed as

Mendelian Randomization AnalysisMouth NeoplasmsOropharyngeal NeoplasmsTelomereGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansPolymorphism, Single NucleotideRisk FactorsMendelian randomizationOral and oropharyngeal cancerRisk factorsTelomere length

Identifiers

PMID39307671
PMCPMC11976593

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.