Ma Zhimin, Zhu Chen, Wang Hui, Ji Mengmeng, Huang Yanqian, Wei Xiaoxia, Zhang Jing, Wang Yuzhuo, Yin Rong, Dai Juncheng, Xu Lin, Ma Hongxia, Hu Zhibin, Jin Guangfu, Zhu Meng, Shen Hongbing
Department of Epidemiology, School of Public Health, Southeast University, Nanjing 210009, China.
Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing 211166, China.
iScience. 2023 Jan 19;26(3):106018. doi: 10.1016/j.isci.2023.106018. eCollection 2023 Mar 17.
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.
实际年龄仅代表时间的流逝，而生物学年龄反映生理状态以及发病和死亡的易感性。生物学年龄与肺癌风险之间的关联仍存在争议。因此，我们在英国生物银行研究中进行了前瞻性分析和两样本孟德尔随机化分析，以研究这种关联。生物学衰老通过基于常规临床生物标志物得出的PhenoAgeAccel进行评估。独立于实际年龄，PhenoAgeAccel与肺癌总体风险及组织学亚型风险呈正相关。PhenoAgeAccel与基因在肺癌发病率方面存在联合作用。在孟德尔随机化分析中，基因预测的PhenoAgeAccel与肺癌总体、小细胞和鳞状细胞癌风险增加相关。我们的研究结果表明，PhenoAgeAccel是肺癌的独立危险因素，可与多基因风险评分相结合以识别肺癌高危个体。
