The Role of Neighborhood Air Pollution Exposure on Somatic Non-Small Cell Lung Cancer Mutations in the Los Angeles Basin (2013–2018)

Noémie Letellier (), Sam E. Wing (), Jiue-An Yang, Stacy W. Gray, Tarik Benmarhnia, Loretta Erhunmwunsee and Marta M. Jankowska
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Noémie Letellier: Scripps Institution of Oceanography, University of California San Diego, La Jolla, San Diego, CA 92093, USA
Sam E. Wing: Department of Population Sciences, Beckman Research Institute, City of Hope, Duarte, CA 91010, USA
Jiue-An Yang: Department of Population Sciences, Beckman Research Institute, City of Hope, Duarte, CA 91010, USA
Stacy W. Gray: Department of Population Sciences, City of Hope Comprehensive Cancer Center, Duarte, CA 91010, USA
Tarik Benmarhnia: Scripps Institution of Oceanography, University of California San Diego, La Jolla, San Diego, CA 92093, USA
Loretta Erhunmwunsee: Department of Population Sciences, City of Hope Comprehensive Cancer Center, Duarte, CA 91010, USA
Marta M. Jankowska: Department of Population Sciences, Beckman Research Institute, City of Hope, Duarte, CA 91010, USA

IJERPH, 2022, vol. 19, issue 17, 1-10

Abstract: Limited previous work has identified a relationship between exposure to ambient air pollution and aggressive somatic lung tumor mutations. More work is needed to confirm this relationship, especially using spatially resolved air pollution. We aimed to quantify the association between different air pollution metrics and aggressive tumor biology. Among patients treated at City of Hope Comprehensive Cancer Center in Duarte, CA (2013–2018), three non-small cell lung cancer somatic tumor mutations, TP53 , KRAS , and KRAS G12C / V , were documented. PM 2.5 exposure was assessed using state-of-the art ensemble models five and ten years before lung cancer diagnosis. We also explored the role of NO 2 using inverse-distance-weighting approaches. We fitted logistic regression models to estimate odds ratio (OR) and their 95% confidence intervals (CIs). Among 435 participants (median age: 67, female: 51%), an IQR increase in NO 2 exposure (3.5 μg/m 3 ) five years before cancer diagnosis was associated with an increased risk in TP53 mutation (OR, 95% CI: 1.30, 0.99–1.71). We found an association between highly-exposed participants to PM 2.5 (>12 μg/m 3 ) five and ten years before cancer diagnosis and TP53 mutation (OR, 95% CI: 1.61, 0.95–2.73; 1.57, 0.93–2.64, respectively). Future studies are needed to confirm this association and better understand how air pollution impacts somatic profiles and the molecular mechanisms through which they operate.

Keywords: tumor mutations; TP53 mutation; NSCLC; machine learning; particulate matter (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
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