Lu Xuanzhuang, Wang Runchen, Li Jianfu, Lyu Shixuan, Zhang Jianrong, Wang Qixia, Chi Wenhao, Zhong Ran, Chen Chao, Wu Xinjian, Hu Ruiyu, You Zhixuan, Mai Yuqi, Xie Songlin, Lin Jiayu, Zheng Boyu, Zhong Qiu, He Jianxing, Liang Wenhua
Department of Thoracic Surgery and Oncology, the First Affiliated Hospital of Guangzhou Medical University, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, Guangzhou, China.
Nanshan School, Guangzhou Medical University, Guangzhou, China.
Transl Lung Cancer Res. 2024 Oct 31;13(10):2524-2537. doi: 10.21037/tlcr-24-125. Epub 2024 Oct 28.
Recently, the impact of solar radiation (RAD) on diseases worldwide has garnered growing attention. However, the association between RAD and lung cancer remains largely unknow and no consensus has been reached. The aim of this study was to investigate the lag exposure-response of RAD on lung cancer and provide robust scientific evidence for updating prevention and treatment strategies of lung cancer.
Data of RAD were obtained from Google Earth Engine, which was post-processed by European Centre for Medium-Range Weather Forecasts (ECMWF). Lung cancer incidence, smoking prevalence and socio-demographic index (SDI) were obtained from Global Burden of Disease (GBD). Spearman's rank correlation tests and linear regression analyses were performed to investigate the relationship between RAD and lung cancer incidence. Additionally, a distributed lag non-linear model (DLNM) was utilized to reveal the lag effects of RAD on lung cancer incidence.
There were 204 countries and territories and selected subnational locations with information recorded in GBD and radiation exposure was calculated in 272 countries and territories. After excluding missing and abnormal data, as well as Kashmir and Western Sahara which were two disputed districts, this study included 186 countries from 1992 to 2019. After adjusted for smoking and SDI, the Spearman's correlation coefficient ranged from -0.630 to -0.581. In the DLNM for lung cancer adjusted for smoking and SDI, the maximum relative risk (RR) was 1.013 [95% confidence interval (CI): 1.011-1.014], at RAD exposure of 12,760,000 with 5.8 lag years, while the minimum RR was 0.973 (95% CI: 0.947-0.992) at RAD exposure of 12,845,000 with 8.0 lag years.
The global rise in lung cancer incidence has been notably associated with low exposure to RAD, whereas the defensive influence of sunlight against lung cancer demonstrated hysteresis. This study shows that properly exposure to sunlight is a possible strategy for lung cancer prevention, which provides scientific support for the formulation of future health strategies. It is also crucial in epidemiological research as it offers a novel pattern for identifying additional potential risk factors for diseases.
近年来,太阳辐射(RAD)对全球疾病的影响日益受到关注。然而,RAD与肺癌之间的关联在很大程度上仍不清楚,尚未达成共识。本研究旨在探讨RAD对肺癌的滞后暴露反应,并为更新肺癌的预防和治疗策略提供有力的科学依据。
RAD数据来自谷歌地球引擎,并由欧洲中期天气预报中心(ECMWF)进行后处理。肺癌发病率、吸烟率和社会人口指数(SDI)数据来自全球疾病负担(GBD)。采用Spearman等级相关检验和线性回归分析来研究RAD与肺癌发病率之间的关系。此外,还利用分布滞后非线性模型(DLNM)来揭示RAD对肺癌发病率的滞后效应。
全球疾病负担(GBD)记录了204个国家和地区以及选定的次国家地区的信息,在272个国家和地区计算了辐射暴露量。在排除缺失和异常数据以及克什米尔和西撒哈拉这两个有争议的地区后,本研究纳入了1992年至2019年的186个国家。在对吸烟和SDI进行调整后,Spearman相关系数在-0.630至-0.581之间。在对吸烟和SDI进行调整的肺癌DLNM中,最大相对风险(RR)为1.013[95%置信区间(CI):1.011-1.014],辐射暴露量为12760000,滞后5.8年,而最小RR为0.973(95%CI:0.947-0.992),辐射暴露量为12845000,滞后8.0年。
全球肺癌发病率的上升与低水平的RAD暴露显著相关,而阳光对肺癌的防御作用表现出滞后性。本研究表明,适当暴露于阳光下是预防肺癌的一种可能策略,这为未来健康策略的制定提供了科学支持。它在流行病学研究中也至关重要,因为它为识别疾病的其他潜在风险因素提供了一种新的模式。