Evidence map›Paper›PMID 40259690›Full record

ArticleBrain and behavior2025

Exploring the Impact of Neuroticism on Lung Cancer Risk: Insights From Mediated Mendelian Randomization.

Jie Zhang, Xiao Ma, Zhiyu Liu, He Wang, Binbin Lu, Zhaoxia Wang

Abstract read
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Article in Brain and behavior, 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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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Jie ZhangDepartment of Oncology, The Second Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Xiao MaDepartment of Oncology, The Second Affiliated Hospital of Nanjing Medical University, Nanjing, China.ORCID https://orcid.org/0000-0002-8294-8588
Zhiyu LiuDepartment of Oncology, The Second Affiliated Hospital of Nanjing Medical University, Nanjing, China.
He WangDepartment of Oncology, Sir Run Run Hospital, Nanjing Medical University, Nanjing, China.
Binbin LuDepartment of Oncology, The Second Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Zhaoxia WangDepartment of Oncology, The Second Affiliated Hospital of Nanjing Medical University, Nanjing, China.

Funding

Clinical Research Fund of Hengrui Medicine, Collaborative Innovation Center for Individualized Cancer Medicine, Nanjing Medical University 2024CICCPMHR020Jiangsu Province Capability Improvement Project through Science, Technology and EducationJiangsu Provincial Medical Key Discipline Cultivation Unit JSDW202235 to ZW
6 · The paper itself

Abstract

objectiveThis study aimed to explore the potential association between neuroticism and lung cancer.

methodsWe conducted analyses on publicly accessible aggregated data from genome-wide association studies (GWAS) that included individuals of European descent. The objective was to identify single nucleotide polymorphisms (SNPs) significantly associated with neuroticism and utilize them as instrumental variables in a two-sample Mendelian randomization framework to evaluate the gender-specific causal link between neuroticism and lung cancer risk. We applied four statistical methods: Inverse variance weighting (IVW), weighted median, MR-Egger regression, and weighted mode. Our analysis also considered the mediating effect of educational attainment on this relationship.

resultsWe selected 67 SNPs associated with neuroticism at genome-wide significance levels from GWAS datasets. Our primary findings using IVW suggest a notable increase in lung cancer risk associated with neuroticism across the general population (odds ratio [OR] = 1.175; 95% confidence interval [CI] 1.020-1.354, p = 0.026). Gender-specific analysis revealed that neuroticism posed a slight but significant risk increase in men (OR = 1.006; 95% CI 1.000-1.012, p = 0.045) and women (OR = 1.005; 95% CI 1.002-1.009, p = 0.002), with findings corroborated by the additional statistical methods. Further, evidence from both observational and Mendelian randomization analyses suggests that genetically predicted neuroticism is causally associated with a modestly increased risk of incident lung cancer, with ∼17% of this effect mediated by educational attainment.

conclusionsThe results from this Mendelian randomization study provide robust evidence supporting a potential association between neuroticism and an increased risk of lung cancer. This association appears more pronounced in men than women. Additionally, educational level serves as a mediator in the nexus between these conditions, suggesting that interventions aimed at increasing educational attainment might mitigate some of the risk neuroticism poses for developing lung cancer.

Indexed as

Lung NeoplasmsNeuroticismFemaleGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansMaleMendelian Randomization AnalysisPolymorphism, Single NucleotideRisk FactorsSex Factorslung cancermendelian randomizationneuroticism

Identifiers

PMID40259690
PMCPMC12012258

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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 Socratic graph.