Evaluating the predictive performance of outdoor air pollution in the PLCOm2012 model
Principal Investigator
Name
Summer Han
Degrees
Ph.D.
Institution
Stanford University
Position Title
Associate Professor
Email
About this CDAS Project
Study
PLCO
(Learn more about this study)
Project ID
PLCO-1761
Initial CDAS Request Approval
Jan 27, 2025
Title
Evaluating the predictive performance of outdoor air pollution in the PLCOm2012 model
Summary
Outdoor air pollution is recognized as a Group 1 carcinogen by the International Agency for Research on Cancer (Loomis et al., 2013, Lancet Oncol, PMID: 25035875), with its mechanistic in promoting tumors in the lungs being recently elucidated (Hill et al., 2023, Nature, PMID: 37020004). Extreme climate events (e.g., wildfires) in recent years have substantially heightened exposure to outdoor air pollution (Filonchyk, Peterson, and Sun, 2022, Sci Total Environ, PMID: 35218845), putting millions of individuals at a higher risk of lung cancer. As such, it is critical to incorporate outdoor air pollution to accurately predict the risk of lung cancer for effective screening strategies (Berg, 2023, J Thorac Oncol, PMID: 37277094). However, well-validated risk prediction models for lung cancer do not consider air pollution (Dezube and Jaklitsch, 2023, CCTS). Our overarching goal is to examine the potential predictive performance of key outdoor air pollution exposures, namely fine particulate matter (<2.5 μm in diameter, PM 2.5), PM10, nitrogen dioxide (NO2) and ozone (O3), in the PLCOm2012 model (Tammemägi, 2013, NEJM, PMID: 23425165) using the PLCO cohort.
Aims
Our aim is to investigate the predictive performance, in terms of accuracy, calibration, and clinical utility, of adding the key outdoor air pollution exposures to the PLCOm2012 model.
Collaborators
Summer Han, Stanford University
Tae Yoon Lee, Stanford University