Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2021 Aug;30(8):1498-1505.
doi: 10.1158/1055-9965.EPI-20-1555. Epub 2021 Jun 4.

The Association between Polluted Neighborhoods and TP53-Mutated Non-Small Cell Lung Cancer

Affiliations

The Association between Polluted Neighborhoods and TP53-Mutated Non-Small Cell Lung Cancer

Loretta Erhunmwunsee et al. Cancer Epidemiol Biomarkers Prev. 2021 Aug.

Abstract

Background: Poor patients often reside in neighborhoods of lower socioeconomic status (SES) with high levels of airborne pollutants. They also have higher mortality from non-small cell lung cancer (NSCLC) than those living in wealthier communities. We investigated whether living in polluted neighborhoods is associated with somatic mutations linked with lower survival rates, i.e., TP53 mutations.

Methods: In a retrospective cohort of 478 patients with NSCLC treated at a comprehensive cancer center between 2015 and 2018, we used logistic regression to assess associations between individual demographic and clinical characteristics, including somatic TP53 mutation status and environmental risk factors of annual average particulate matter (PM2.5) levels, and neighborhood SES.

Results: 277 patients (58%) had somatic TP53 mutations. Of those, 45% lived in neighborhoods with "moderate" Environmental Protection Agency-defined PM2.5 exposure, compared with 39% of patients without TP53 mutations. We found significant associations between living in neighborhoods with "moderate" versus "good" PM2.5 concentrations and minority population percentage [OR, 1.06; 95% confidence interval (CI), 1.04-1.08]. There was a significant association between presence of TP53 mutations and PM2.5 exposure (moderate versus good: OR, 1.66; 95% CI, 1.02-2.72) after adjusting for patient characteristics, other environmental factors, and neighborhood-level SES.

Conclusions: When controlling for individual- and neighborhood-level confounders, we find that the odds of having a TP53-mutated NSCLC are increased in areas with higher PM2.5 exposure.

Impact: The link between pollution and aggressive biology may contribute to the increased burden of adverse NSCLC outcomes in individuals living in lower SES neighborhoods.

PubMed Disclaimer

Conflict of interest statement

Conflict of Interest: The authors declare no potential conflicts of interest.

References

    1. Erhunmwunsee L, Joshi MB, Conlon DH, Harpole DH Jr. Neighborhood-level socioeconomic determinants impact outcomes in nonsmall cell lung cancer patients in the Southeastern United States. Cancer. 2012;118(20):5117–5123. - PubMed
    1. Lynge E Unemployment and cancer: a literature review. IARC scientific publications. 1997(138):343–351. - PubMed
    1. Abdelsattar ZM, Hendren S, Wong SL. The impact of health insurance on cancer care in disadvantaged communities. Cancer. 2017;123(7):1219–1227. - PMC - PubMed
    1. Forrest LF, Adams J, Wareham H, Rubin G, White M. Socioeconomic Inequalities in Lung Cancer Treatment: Systematic Review and Meta-Analysis. PLOS Medicine. 2013;10(2):e1001376. - PMC - PubMed
    1. Johnson AM, Hines RB, Johnson JA 3rd, Bayakly AR Treatment and survival disparities in lung cancer: the effect of social environment and place of residence. Lung cancer (Amsterdam, Netherlands). 2014;83(3):401–407. - PubMed

Publication types

MeSH terms