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

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.

Using Latent Class Modeling to Jointly Characterize Economic Stress and Multipollutant Exposure.

BACKGROUND: Work is needed to better understand how joint exposure to environmental and economic factors influence cancer. We hypothesize that environmental exposures vary with socioeconomic status (SES) and urban/rural locations, and areas with minority populations coincide with high economic disadvantage and pollution. METHODS: To model joint exposure to pollution and SES, we develop a latent class mixture model (LCMM) with three latent variables (SES Advantage, SES Disadvantage, and Air Pollution) and compare the LCMM fit with K-means clustering. We ran an ANOVA to test for high exposure levels in non-Hispanic black populations. The analysis is at the census tract level for the state of North Carolina. RESULTS: The LCMM was a better and more nuanced fit to the data than K-means clustering. Our LCMM had two sublevels (low, high) within each latent class. The worst levels of exposure (high SES disadvantage, low SES advantage, high pollution) are found in 22% of census tracts, while the best levels (low SES disadvantage, high SES advantage, low pollution) are found in 5.7%. Overall, 34.1% of the census tracts exhibit high disadvantage, 66.3% have low advantage, and 59.2% have high mixtures of toxic pollutants. Areas with higher SES disadvantage had significantly higher non-Hispanic black population density (NHBPD; P < 0.001), and NHBPD was higher in areas with higher pollution (P < 0.001). CONCLUSIONS: Joint exposure to air toxins and SES varies with rural/urban location and coincides with minority populations. IMPACT: Our model can be extended to provide a holistic modeling framework for estimating disparities in cancer survival.See all articles in this CEBP Focus section, "Environmental Carcinogenesis: Pathways to Prevention."

Yoga of Awareness program for menopausal symptoms in breast cancer survivors: results from a randomized trial.

GOAL OF WORK: Breast cancer survivors have limited options for the treatment of hot flashes and related symptoms. Further, therapies widely used to prevent recurrence in survivors, such as tamoxifen, tend to induce or exacerbate menopausal symptoms. The aim of this preliminary, randomized controlled trial was to evaluate the effects of a yoga intervention on menopausal symptoms in a sample of survivors of early-stage breast cancer (stages IA-IIB). MATERIALS AND METHODS: Thirty-seven disease-free women experiencing hot flashes were randomized to the 8-week Yoga of Awareness program (gentle yoga poses, meditation, and breathing exercises) or to wait-list control. The primary outcome was daily reports of hot flashes collected at baseline, posttreatment, and 3 months after treatment via an interactive telephone system. Data were analyzed by intention to treat. MAIN RESULTS: At posttreatment, women who received the yoga program showed significantly greater improvements relative to the control condition in hot-flash frequency, severity, and total scores and in levels of joint pain, fatigue, sleep disturbance, symptom-related bother, and vigor. At 3 months follow-up, patients maintained their treatment gains in hot flashes, joint pain, fatigue, symptom-related bother, and vigor and showed additional significant gains in negative mood, relaxation, and acceptance. CONCLUSIONS: This pilot study provides promising support for the beneficial effects of a comprehensive yoga program for hot flashes and other menopausal symptoms in early-stage breast cancer survivors.