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Association between biological aging and lung cancer risk: Cohort study and Mendelian randomization analysis

Authors :
Zhimin Ma
Chen Zhu
Hui Wang
Mengmeng Ji
Yanqian Huang
Xiaoxia Wei
Jing Zhang
Yuzhuo Wang
Rong Yin
Juncheng Dai
Lin Xu
Hongxia Ma
Zhibin Hu
Guangfu Jin
Meng Zhu
Hongbing Shen
Source :
iScience, Vol 26, Iss 3, Pp 106018- (2023)
Publication Year :
2023
Publisher :
Elsevier, 2023.

Abstract

Summary: Chronological age only represents the passage of time, whereas biological age reflects the physiology states and the susceptibility to morbidity and mortality. The association between biological age and lung cancer risk remains controversial. Hence, we conducted a prospective analysis in the UK Biobank study and two-sample Mendelian randomization analysis to investigate this association. Biological aging was evaluated by PhenoAgeAccel, derived from routine clinical biomarkers. Independent of chronological age, PhenoAgeAccel was positively associated with the risk of overall and histological subtypes of lung cancer. There was a joint effect of PhenoAgeAccel and genetics in lung cancer incidence. In Mendelian randomization analysis, the genetically predicted PhenoAgeAccel was associated with the increased risk of overall lung cancer, small cell, and squamous cell carcinoma. Our findings suggest PhenoAgeAccel is an independent risk factor for lung cancer, which could be incorporated with polygenic risk score to identify high-risk individuals for lung cancer.

Details

Language :
English
ISSN :
25890042
Volume :
26
Issue :
3
Database :
Directory of Open Access Journals
Journal :
iScience
Publication Type :
Academic Journal
Accession number :
edsdoj.7c13b9994e249ca6d13ea46675b3
Document Type :
article
Full Text :
https://doi.org/10.1016/j.isci.2023.106018