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

被引：16

作者：

Ma, Zhimin ^{[1
,2
]}

Zhu, Chen ^{[2
,3
,4
]}

Wang, Hui ^{[2
]}

Ji, Mengmeng ^{[1
,2
]}

Huang, Yanqian ^{[2
]}

Wei, Xiaoxia ^{[2
]}

Zhang, Jing ^{[2
]}

Wang, Yuzhuo ^{[2
,5
]}

Yin, Rong ^{[5
]}

Dai, Juncheng ^{[2
,6
]}

Xu, Lin ^{[5
]}

Ma, Hongxia ^{[2
,6
,7
]}

Hu, Zhibin ^{[2
,6
]}

Jin, Guangfu ^{[1
,2
,6
]}

Zhu, Meng ^{[2
,6
]}

Shen, Hongbing ^{[1
,2
,3
,7
]}

机构：

[1] Southeast Univ, Sch Publ Hlth, Dept Epidemiol, Nanjing 210009, Peoples R China

[2] Nanjing Med Univ, Ctr Global Hlth, Sch Publ Hlth, Dept Epidemiol, Nanjing 211166, Peoples R China

[3] Univ Chinese Acad Sci, Canc Hosp, Zhejiang Canc Hosp, Dept Canc Prevent, Hangzhou 310022, Peoples R China

[4] Chinese Acad Sci, Inst Basic Med & Canc IBMC, Hangzhou 310022, Peoples R China

[5] Nanjing Med Univ, Affiliated Canc Hosp, Jiangsu Canc Hosp, Jiangsu Key Lab Mol & Translat Canc Res,Dept Thora, Nanjing 210009, Peoples R China

[6] Nanjing Med Univ, Collaborat Innovat Ctr Canc Personalized Med, Jiangsu Key Lab Canc Biomarkers Prevent & Treatmen, Nanjing 211166, Peoples R China

[7] Chinese Acad Med Sci, Res Units Cohort Study Cardiovasc Dis & Canc, Beijing 100000, Peoples R China

来源：

ISCIENCE | 2023年 / 26卷 / 03期

基金：

中国国家自然科学基金;

关键词：

PREDICTION; SURVIVAL; AGE;

D O I：

10.1016/j.isci.2023.106018

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

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.

引用

页数：14

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