Environment international · 2025
Air pollution and breast cancer incidence in a United States-wide prospective cohort study: Examining sensitive periods of exposure.
СтатьяНазвание и аннотация: Перевод пока не подготовлен
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Ish Jennifer L, Ou Judy Y, Rector-Houze Alison M, Niehoff Nicole M, Bi Jianzhao, Kaufman Joel D, Sandler Dale P, White Alexandra J
Аннотация
BACKGROUND: Mounting evidence supports that air pollution is related to a higher breast cancer risk, yet the importance of exposure timing in this relationship remains unclear.
METHODS: In the Sister Study, a United States-wide prospective cohort (n = 50,884, 2003-2009), we estimated time-varying annual concentrations of nitrogen dioxide (NO2) and fine particulate matter (PM2.5) from 1990 to 2017 at residential addresses using validated spatiotemporal models. Self-reported breast cancer diagnoses were validated using medical records. We used Cox proportional hazards regression to estimate hazard ratios (HRs) and 95 % confidence intervals (CIs) for breast cancer incidence in relation to air pollutant concentrations during predetermined windows of susceptibility. We also applied distributed lag non-linear models to estimate adjusted cumulative and lag-specific HRs and 95 % CIs for the association between air pollutants and breast cancer across a lag period of 0-15 years. We evaluated breast cancer overall and by estrogen receptor (ER) status and tumor extent [ductal carcinoma in situ (DCIS) versus invasive].
RESULTS: We found limited evidence that air pollutant exposure during the time of a woman's first birth, most recent birth, or menopause transition was associated with heightened risk for breast cancer. When examining exposure flexibly over the long-term, a 10-ppb increase in NO2 across lag years 1-11 significantly contributed to the risk of ER-positive (HRcumul = 1.14; 95 % CI: 1.03-1.27; n = 2619 cases) and DCIS (HRcumul = 1.27, 95 % CI: 1.04-1.54; n = 706 cases) breast cancer, whereas PM2.5 experienced during lag years 11-13 was associated with ER-negative breast cancer (e.g., HRLag12 = 1.36 per 10-µg/m3 increase, 95 % CI: 1.02-1.81; n = 448 cases).
CONCLUSIONS: We identified unique periods of susceptibility to NO2 and PM2.5 for breast cancer risk by ER status.
METHODS: In the Sister Study, a United States-wide prospective cohort (n = 50,884, 2003-2009), we estimated time-varying annual concentrations of nitrogen dioxide (NO2) and fine particulate matter (PM2.5) from 1990 to 2017 at residential addresses using validated spatiotemporal models. Self-reported breast cancer diagnoses were validated using medical records. We used Cox proportional hazards regression to estimate hazard ratios (HRs) and 95 % confidence intervals (CIs) for breast cancer incidence in relation to air pollutant concentrations during predetermined windows of susceptibility. We also applied distributed lag non-linear models to estimate adjusted cumulative and lag-specific HRs and 95 % CIs for the association between air pollutants and breast cancer across a lag period of 0-15 years. We evaluated breast cancer overall and by estrogen receptor (ER) status and tumor extent [ductal carcinoma in situ (DCIS) versus invasive].
RESULTS: We found limited evidence that air pollutant exposure during the time of a woman's first birth, most recent birth, or menopause transition was associated with heightened risk for breast cancer. When examining exposure flexibly over the long-term, a 10-ppb increase in NO2 across lag years 1-11 significantly contributed to the risk of ER-positive (HRcumul = 1.14; 95 % CI: 1.03-1.27; n = 2619 cases) and DCIS (HRcumul = 1.27, 95 % CI: 1.04-1.54; n = 706 cases) breast cancer, whereas PM2.5 experienced during lag years 11-13 was associated with ER-negative breast cancer (e.g., HRLag12 = 1.36 per 10-µg/m3 increase, 95 % CI: 1.02-1.81; n = 448 cases).
CONCLUSIONS: We identified unique periods of susceptibility to NO2 and PM2.5 for breast cancer risk by ER status.