Cancer mortality risk, fine particulate air pollution, and smoking in a large, representative cohort of US adults

Coleman, Nathan C.; Burnett, Richard T.; Higbee, Joshua D.; Lefler, Jacob S.; Merrill, Ray M.; Ezzati, Majid; Marshall, Julian; Kim, Sun‐Young; Bechle, Matthew J.; Robinson, Allen L.; Pope, C. Arden

doi:10.1007/s10552-020-01317-w

Cited by 89 publications

(110 citation statements)

References 38 publications

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“…Furthermore, no association was found for PM 2:5 and liver and kidney cancers when time-varying models were used. Previous studies have found statistically significant associations for PM 2:5 and mortality or incidence from oral and oropharyngeal (Chu et al 2019), colorectal (Coleman et al 2020;Turner et al 2017;Ancona et al 2015), liver (Coleman et al 2020;Ancona et al 2015;Deng et al 2017;Pan et al 2016;VoPham et al 2018), skin (Datzmann et al 2018) (used PM 10 instead of PM 2:5 ), breast (Coleman et al 2020;Ancona et al 2015;Wong et al 2016;Hu et al 2013;White et al 2019;DuPré et al 2019), and kidney cancers (Turner et al 2017;Raaschou-Nielsen et al 2017). Furthermore, the association between all cancer incidence and PM 2:5 was statistically significant IRR = 1:09 (95% CI: 1.03, 1.14), even after adjusting for multiple comparisons (p = 0:04), indicating that the effect of exposure to PM 2:5 on cancer sites may not be limited to the lungs.…”

Section: Discussionmentioning

confidence: 92%

“…Previous studies have found statistically significant associations for

and mortality or incidence from oral and oropharyngeal ( Chu et al. 2019 ), colorectal ( Coleman et al. 2020 ; Turner et al.…”

Section: Discussionmentioning

confidence: 99%

“…In addition to lung cancer, several cohort studies have found limited evidence of an association between mortality and incidence of various non-lung cancers and air pollution (Coleman et al 2020;Turner et al 2017;Wong et al 2016;Ancona et al 2015;Raaschou-Nielsen et al 2011). However, these studies were inconsistent in their findings and often limited by small sample size.…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Fine Particulate Matter Exposure and Cancer Incidence: Analysis of SEER Cancer Registry Data from 1992–2016

Coleman

Burnett²,

Ezzati

et al. 2020

Environ Health Perspect

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BACKGROUND: Previous research has identified an association between fine particulate matter (PM 2:5) air pollution and lung cancer. Most of the evidence for this association, however, is based on research using lung cancer mortality, not incidence. Research that examines potential associations between PM 2:5 and incidence of non-lung cancers is limited. OBJECTIVES: The primary purpose of this study was to evaluate the association between the incidence of cancer and exposure to PM 2:5 using >8:5 million cases of cancer incidences from U.S. registries. Secondary objectives include evaluating the sensitivity of the associations to model selection, spatial control, and latency period as well as estimating the exposure-response relationship for several cancer types. METHODS: Surveillance, Epidemiology, and End Results (SEER) program data were used to calculate incidence rates for various cancer types in 607 U.S. counties. County-level PM 2:5 concentrations were estimated using integrated empirical geographic regression models. Flexible seminonparametric regression models were used to estimate associations between PM 2:5 and cancer incidence for selected cancers while controlling for important county-level covariates. Primary time-independent models using average incidence rates from 1992-2016 and average PM 2:5 from 1988-2015 were estimated. In addition, time-varying models using annual incidence rates from 2002-2011 and lagged moving averages of annual estimates for PM 2:5 were also estimated. RESULTS: The incidences of all cancer and lung cancer were consistently associated with PM 2:5. The incident rate ratios (IRRs), per 10-lg=m 3 increase in

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Section: Discussionmentioning

confidence: 92%

“…Previous studies have found statistically significant associations for

and mortality or incidence from oral and oropharyngeal ( Chu et al. 2019 ), colorectal ( Coleman et al. 2020 ; Turner et al.…”

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Fine Particulate Matter Exposure and Cancer Incidence: Analysis of SEER Cancer Registry Data from 1992–2016

Coleman

Burnett²,

Ezzati

et al. 2020

Environ Health Perspect

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show abstract

“…There have been growing but inconsistent findings related to this suspicion. So far, a few studies have provided evidence on the adverse effects of PM2.5 exposure towards cancer progress in almost of all vital organs aside from the lungs in the human body, including the digestive tract and accessory organs such as oral and oropharyngeal organs [41][42][43], esophageal organs [42,43], the stomach [42,44,45], colorectal organs [43,[45][46][47], the liver [43,45,[47][48][49][50], and the pancreas [43,49], female-specific organs such as breasts [43,45,51,52], cervix [45], and genital organs [43], urinary organs such as kidneys [46] and the bladder [45,46], lymphoid [45] such as Hodgkin and non-Hodgkin lymphoma as well as leukemia [53], and others such as laryngeal organs [42]. Here, the current review made up a collection of existing data about the statistically significant associations between the exposure to increased concentrations of PM2.5 with the risk of various types of non-lung cancer, which was illustrated in Figure 2.…”

Section: Literature Evidence Of Pm25-associated Non-lung Cancermentioning

confidence: 99%

The Inducible Role of Ambient Particulate Matter in Cancer Progression via Oxidative Stress-Mediated Reactive Oxygen Species Pathways: A Recent Perception

Lee

et al. 2020

Cancers

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Cancer is one of the leading causes of premature death and overall death in the world. On the other hand, fine particulate matter, which is less than 2.5 microns in aerodynamic diameter, is a global health problem due to its small diameter but high toxicity. Accumulating evidence has demonstrated the positive associations between this pollutant with both lung and non-lung cancer processes. However, the underlying mechanisms are yet to be elucidated. The present review summarizes and analyzes the most recent findings on the relationship between fine particulate matter and various types of cancer along with the oxidative stress mechanisms as its possible carcinogenic mechanisms. Also, promising antioxidant therapies against cancer induced by this poison factor are discussed.

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Machine Learning and Bioinformatics Analysis for Laboratory Data in Pan‐Cancers Detection

Jia,

Liu,

Guo

et al. 2023

Advanced Intelligent Systems

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Early diagnosis of cancer is crucial to improving the long‐term survival rate of patients. However, commonly used tumor markers lack sensitivity and specificity for screening purposes. Herein, 10 diagnostic models for 10 common types of cancer are developed by extreme gradient boosting, incorporating 66 laboratory parameters. The datasets consist of a retrospective cohort of 737 503 training and 184 012 validation cases, and a prospective cohort of 174 894 cases for model testing. The areas under the curve of the 10 diagnostic models range from 0.763 to 0.993. Notably, the different models have varying numbers of identical parameters among the 66 test features. Additionally, SHapley Additive exPlanation analysis reveals that 54 nontumor markers contributed significantly to the models. Cosine similarity analysis and clustering analysis demonstrate that some of the 10 cancers share common pathophysiological characteristics. Feature‐based inference graph models are thus performed and infer relationships between nontumor index parameters and cancers with strong correlations. In conclusion, a machine learning‐based pan‐cancer early warning system has been established in this study, which can guide doctors in selecting more accurate testing indicators and assessing the risk of 10 types of cancer with greater precision.

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Cancer mortality risk, fine particulate air pollution, and smoking in a large, representative cohort of US adults

Cited by 89 publications

References 38 publications

Fine Particulate Matter Exposure and Cancer Incidence: Analysis of SEER Cancer Registry Data from 1992–2016

Fine Particulate Matter Exposure and Cancer Incidence: Analysis of SEER Cancer Registry Data from 1992–2016

The Inducible Role of Ambient Particulate Matter in Cancer Progression via Oxidative Stress-Mediated Reactive Oxygen Species Pathways: A Recent Perception

Machine Learning and Bioinformatics Analysis for Laboratory Data in Pan‐Cancers Detection

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