Regional heterogeneity in the association between fine particulate matter (PM2.5) and lung cancer suggests that PM2.5 components may differentially influence risk. We used a spatiotemporal model to estimate historical (2000–2004) residential outdoor PM2.5 component concentrations (sulfate, ammonium, nitrate, black carbon, organic matter, mineral dust, sea salt) for participants from the NIH-AARP Diet and Health Study. We used Cox models to estimate hazard ratios and 95% confidence intervals (HR [CI]) of associations per interquartile range of PM2.5 components and common copollutant nitrogen dioxide (NO2) with lung cancer, overall and by histologic subtype. We fitted single-pollutant models and then specified the multipollutant mixture using elastic net regression. From the start of follow-up in 2010 through 2018, 8565 lung cancer cases were diagnosed among 364,842 participants. In single-pollutant models, sea salt (HR = 1.02 [1.00–1.04]) was associated with overall lung cancer risk; sea salt (HR = 1.04 [1.00–1.07]) and black carbon (HR = 1.05 [1.00–1.10]) with adenocarcinoma; and ammonium (HR = 1.10 [1.00–1.21]), sulfate (HR = 1.15 [1.04–1.27]), organic matter (HR = 1.06 [1.01–1.12]), and black carbon (HR = 1.09 [1.01–1.17]) with squamous cell carcinoma. NO2 was associated with increased risk overall and adenocarcinoma. In mixture models, NO2 (HR = 1.08 [1.03–1.13]) and sea salt (HR = 1.04 [1.01–1.07]) were associated with adenocarcinoma, and sulfate was marginally associated (HR = 1.14 [0.98–1.13]) with squamous cell carcinoma. We found no clear associations with small cell tumors. These findings suggest that certain PM2.5 components play a role in lung cancer subtype etiology. Given the limited number of existing studies, replication of these findings in diverse geographic locations is an important next step.
No takes yet. Share an insight, caveat, or question.
Marcus et al. (2026) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: