PO.PS01.12 · 人群科学

细颗粒物的化学组成与老年肺癌患者的死亡率

Chemical composition of fine particulate matter and mortality of older lung cancer patients

海报缩略图:细颗粒物的化学组成与老年肺癌患者的死亡率
编号 6250 展板 12 时间 4/21 02:00–05:00 区域 Section 33 主讲 Yaguang Wei, MS;PhD
分会场 Environmental and Occupational Risk Factors, Infection, and Aging
查看 PDF 下载 PDF 🔒 查看 / 下载完整 PDF 需登录并开通下载套餐 · 查看套餐 / 开通 AACR 官方页面

作者与单位 Authors & Affiliations

Jiaowei Gong1, Edgar Castro2, Min Zhang3, Robert O. Wright3, Christine C. Ekenga4, Joel D. Schwartz2, Yaguang Wei3

1Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, MA,2Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA,3Department of Environmental Medicine, Icahn School of Medicine at Mount Sinai, New York, NY,4Emory University, Rollins School of Public Health, Atlanta, GA

摘要 Abstract

中文摘要
重要性:尽管治疗手段不断进步,肺癌死亡率仍居高不下。虽然环境细颗粒物(PM2.5)已被确认为肺癌的1类致癌物,可增加肺癌发病率,但其化学组分在肺癌患者死亡中的作用,以及有害组分和易感人群的识别仍不明确。 目的:评估长期暴露于PM2.5化学组分是否与肺癌患者的全因死亡率相关,以及这种关联是否因组织学类型、诊断时分期、人口统计学特征和合并症而异。 设计、机构与参与者:本队列研究源自SEER-Medicare数据库,纳入了2000年至2019年间确诊肺癌的495,339名年龄≥65岁的成年人。患者自诊断起每年随访,直至死亡、失访或2019年末(平均随访4.1年)。SEER-Medicare数据库提供了纵向的居住地邮政编码、人口统计学特征、癌症特异性特征和合并症信息。 暴露:采用高分辨率时空模型估算2000年至2019年间15种PM2.5化学组分的年度暴露量,并根据每位患者每年的居住地邮政编码进行关联。 主要结局:主要结局为全因死亡的相对风险,从肺癌诊断年份起测量,直至死亡或随访结束。我们采用广义加权分位数和回归,估算所有组分年度暴露的累积效应以及各组分的个体贡献,并对人口统计学特征、癌症特异性特征(组织学类型、分期、治疗)、合并症和社区层面协变量进行了校正。 结果:PM2.5组分的联合暴露与全因死亡率升高相关,所有组分每增加一个十分位数,相对风险[RR]为1.012(95%置信区间[CI],1.011-1.014)。铁的贡献最强(占总效应的8.3%),其次是有机碳、钒、铵、溴和硅。在非小细胞肺癌患者(尤其是鳞状细胞癌)、女性以及区域期疾病患者中,关联更为显著。 结论与意义:长期暴露于PM2.5组分与肺癌患者的更高死亡率相关,尤其是在确诊为非小细胞肺癌和鳞状细胞癌的患者、女性以及晚期患者中。对该效应贡献最大的化学组分来自交通、发电、生物质燃烧和重燃油,凸显了针对性减排以改善高风险人群预后的必要性。
查看英文原文 English abstract
Importance: Lung cancer mortality remains elevated despite advances in treatment. Although ambient fine particulate matter (PM 2.5 ) has been identified as Group 1 carcinogen for lung cancer, which increases the incidence, the role of chemical components in mortality of lung cancer patients and the identification of harmful components and susceptible groups remain unclear. Objective: To evaluate whether long-term exposure to PM 2.5 chemical components is associated with all-cause mortality among lung cancer patients, and whether the associations differ by histology and stage at diagnosis, demographics, and comorbidity. Design, Setting, and Participants: This cohort study derived from the SEER-Medicare database that identifed 495,339 adults aged ≥65 years with lung cancer diagnosed between 2000 and 2019. Patients were followed annually from diagnosis until death, loss to follow-up, or the end of 2019 (mean follow-up, 4.1 years). The SEER-Medicare database provided longitudinal residential ZIP code, demographics, cancer-specific characteristics, and comorbidities. Exposures: Annual exposures to 15 PM 2.5 chemical components were estimated from 2000 to 2019 using high-resolution spatiotemporal models and linked to each patient based on residential ZIP code in each year. Main Outcome: The primary outcome was the relative risk of all-cause mortality, measured from the year of lung cancer diagnosis until death or the end of follow-up. We used generalized weighted quantile sum regression to estimate both cumulative effects of annual exposure to all components and individual contributions for each component, adjusted for demographic, cancer-specific characteristics (histology, stage, treatment), comorbidities, and neighborhood-level covariates. Results: Joint exposure to PM 2.5 components was associated with increased all-cause mortality, with relative risk [RR] being 1.012 (95% confidence interval [CI], 1.011-1.014) per decile increase in all components. Iron contributed most strongly (8.3% of total effects), followed by organic carbon, vanadium, ammonium, bromine, and silicon. Associations were stronger among patients with non-small cell lung cancer, particularly squamous cell carcinoma, as well as among women and those with regional-stage disease. Conclusions and Relevance: Long-term exposure to PM 2.5 components was linked to greater mortality among patients with lung cancer, especially in those diagnosed with non-small cell and squamous cell carcinoma, women, and with advanced stage. Chemical components that contributed most to this effect emitted from traffic, power generation, biomass burning, and heavy fuel oil, highlighting the need for targeted emission reductions to improve outcomes in high-risk populations.
利益披露 Disclosure
J. Gong, None.. E. Castro, None.. M. Zhang, None.. R. O. Wright, None.. J. D. Schwartz, None.. Y. Wei, None.

← 返回 AACR 2026 检索