Lung cancer risk score for ever and never smokers in China

被引:4
|
作者
Ma, Zhimin [1 ,2 ,3 ]
Lv, Jun [4 ,5 ]
Zhu, Meng [1 ,2 ]
Yu, Canqing [4 ]
Ma, Hongxia [1 ,2 ]
Jin, Guangfu [1 ,2 ]
Guo, Yu [6 ]
Bian, Zheng [6 ]
Yang, Ling [7 ,8 ]
Chen, Yiping [7 ,8 ]
Chen, Zhengming [7 ,8 ]
Hu, Zhibin [1 ,2 ]
Li, Liming [7 ,8 ,11 ]
Shen, Hongbing [1 ,2 ,9 ,10 ]
机构
[1] Nanjing Med Univ, Ctr Global Hlth, Sch Publ Hlth, Dept Epidemiol, Nanjing, Jiangsu, Peoples R China
[2] Nanjing Med Univ, Collaborat Innovat Ctr Canc Personalized Med, Jiangsu Key Lab Canc Biomarkers Prevent & Treatmen, Nanjing, Jiangsu, Peoples R China
[3] Southeast Univ, Sch Publ Hlth, Dept Epidemiol, Nanjing, Jiangsu, Peoples R China
[4] Peking Univ, Sch Publ Hlth, Dept Epidemiol & Biostat, Beijing, Peoples R China
[5] Peking Univ, Key Lab Mol Cardiovasc Sci, Minist Educ, Beijing, Peoples R China
[6] Chinese Acad Med Sci, Beijing, Peoples R China
[7] Univ Oxford, Clin Trial Serv Unit, Oxford, Oxfordshire, England
[8] Univ Oxford, Nuffield Dept Populat Hlth, Epidemiol Studies Unit CTSU, Oxford, Oxfordshire, England
[9] Chinese Acad Med Sci, Res Units Cohort Study Cardiovasc Dis & Canc, Beijing, Peoples R China
[10] Nanjing Med Univ, Ctr Global Hlth, Sch Publ Hlth, Dept Epidemiol, Nanjing 211166, Jiangsu, Peoples R China
[11] Peking Univ, Sch Publ Hlth, Dept Epidemiol & Biostat, Beijing 100191, Peoples R China
基金
中国国家自然科学基金;
关键词
early-onset cancer; lung cancer screening; lung cancer; never smokers; prediction model; DOSE-RESPONSE RELATIONSHIP; THAN; 50; YEARS; PREDICTION MODEL; CIGARETTE-SMOKING; VALIDATION; SELECTION; BIOBANK; MARKERS;
D O I
10.1002/cac2.12463
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
BackgroundMost lung cancer risk prediction models were developed in European and North-American cohorts of smokers aged & GE; 55 years, while less is known about risk profiles in Asia, especially for never smokers or individuals aged < 50 years. Hence, we aimed to develop and validate a lung cancer risk estimate tool for ever and never smokers across a wide age range. MethodsBased on the China Kadoorie Biobank cohort, we first systematically selected the predictors and explored the nonlinear association of predictors with lung cancer risk using restricted cubic splines. Then, we separately developed risk prediction models to construct a lung cancer risk score (LCRS) in 159,715 ever smokers and 336,526 never smokers. The LCRS was further validated in an independent cohort over a median follow-up of 13.6 years, consisting of 14,153 never smokers and 5,890 ever smokers. ResultsA total of 13 and 9 routinely available predictors were identified for ever and never smokers, respectively. Of these predictors, cigarettes per day and quit years showed nonlinear associations with lung cancer risk (Pnon-linear < 0.001). The curve of lung cancer incidence increased rapidly above 20 cigarettes per day and then was relatively flat until approximately 30 cigarettes per day. We also observed that lung cancer risk declined sharply within the first 5 years of quitting, and then continued to decrease but at a slower rate in the subsequent years. The 6-year area under the receiver operating curve for the ever and never smokers' models were respectively 0.778 and 0.733 in the derivation cohort, and 0.774 and 0.759 in the validation cohort. In the validation cohort, the 10-year cumulative incidence of lung cancer was 0.39% and 2.57% for ever smokers with low (< 166.2) and intermediate-high LCRS (& GE; 166.2), respectively. Never smokers with a high LCRS (& GE; 21.2) had a higher 10-year cumulative incidence rate than those with a low LCRS (< 21.2; 1.05% vs. 0.22%). An online risk evaluation tool (LCKEY; ) was developed to facilitate the use of LCRS. ConclusionsThe LCRS can be an effective risk assessment tool designed for ever and never smokers aged 30 to 80 years.
引用
收藏
页码:877 / 895
页数:19
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