Abdul Wahab Sopian, Hassan Astrid, Latif Mohd Talib, Vadiveel Yasheeny, Jeyabalan Tamyenthini, Soo Chun Ian, Abdul Hamid Faisal, Yu-Lin Andrea Ban, Hassan Tidi
Respiratory Unit, Universiti Kebangsaan Malaysia Medical Centre, Faculty of Medicine, University Kebangsaan, Cheras, Malaysia. Email:
Department of Clinical Oncology, University Technology MARA, 40450 Shah Alam, Malaysia.
Asian Pac J Cancer Prev. 2019 Jul 1;20(7):1959-1965. doi: 10.31557/APJCP.2019.20.7.1959.
Objective: Epidemiological studies have reported the close relationship between risk for lung cancers and air pollution in particular, for non-smoking related lung cancers. However, most studies used residential address as proxies which may not estimate accurately an individual’s air pollution exposure. Therefore, the aim of this study was to identify risk factors such as occupation and mode of transportation associated with lung cancer diagnosis and death. Methods: Subjects with lung cancer (n=514) were evaluated both by chart reviews for clinical data and interviews to determine residential address for ten years, main occupation and main mode of transportation. Annual particulate matter with diameter size less than 2.5 micrometre (PM2.5) concentration were calculated based on particulate matter with diameter size less than 10 micrometre (PM10) data recorded by Malaysian Department of Environment. Logistic regression analysis, cluster analysis and the Cox regression analysis were performed to the studied variables. Results: This study concurred with previous studies that lung adenocarcinoma were diagnosed in predominantly younger, female non-smokers compared to the other types of lung cancers. Lung adenocarcinoma subjects had annual PM2.5 that was almost twice higher than squamous cell carcinoma, small cell carcinoma and other histological subtypes (p=0.024). Independent of smoking, the κ -means cluster analysis revealed two clusters in which the high risk cluster involves occupation risk with air pollution of more than four hours per day, main transportation involving motorcycle and trucks and mean annual PM2.5 concentration of more than 30 based on residential address for more than ten years. The increased risk for the high-risk cluster was more than five times for the diagnosis of lung adenocarcinoma (OR=5.69, 95% CI=3.14-7.21, p<0.001). The hazard ratio for the high-risk cluster was 3.89 (95% CI=2.12-4.56, p=0.02) for lung adenocarcinoma mortality at 1 year. Conclusion: High-risk cluster including PM2.5, occupation risk and mode of transportation as surrogates for air-pollution exposure was identified and highly associated with lung adenocarcinoma diagnosis and 1-year mortality.
流行病学研究报告了肺癌风险与空气污染之间的密切关系,特别是与非吸烟相关的肺癌。然而,大多数研究使用居住地址作为替代指标,这可能无法准确估计个体的空气污染暴露情况。因此,本研究的目的是确定与肺癌诊断和死亡相关的风险因素,如职业和交通方式。方法:对肺癌患者(n = 514)进行评估,通过查阅病历获取临床数据,并通过访谈确定其十年的居住地址、主要职业和主要交通方式。根据马来西亚环境部记录的直径小于10微米(PM10)的数据,计算直径小于2.5微米(PM2.5)的年颗粒物浓度。对研究变量进行逻辑回归分析、聚类分析和Cox回归分析。结果:本研究与先前的研究一致,即与其他类型的肺癌相比,肺腺癌主要在年轻的女性非吸烟者中被诊断出来。肺腺癌患者的年PM2.5几乎是鳞状细胞癌、小细胞癌和其他组织学亚型的两倍(p = 0.024)。独立于吸烟因素,κ均值聚类分析揭示了两个聚类,其中高风险聚类涉及每天空气污染超过四小时的职业风险、主要交通方式为摩托车和卡车以及基于十年以上居住地址的年平均PM2.5浓度超过30。高风险聚类诊断肺腺癌的风险增加超过五倍(OR = 5.69,95% CI = 3.14 - 7.21,p < 0.001)。高风险聚类在一年时肺腺癌死亡率的风险比为3.89(95% CI = 2.12 - 4.56,p = 0.02)。结论:确定了包括PM2.5、职业风险和交通方式作为空气污染暴露替代指标的高风险聚类,且与肺腺癌诊断和一年死亡率高度相关。