Abstract
Background: Exposure to inorganic arsenic (InAs) has been documented as a risk factor for lung cancer. This study examined the association between InAs exposure, its metabolism, and lung cancer occurrence. Methods: We followed 1,300 residents from an arseniasis area in Taiwan, determined urinary InAs metabolites, and identified 39 lung cancer cases. Cox proportional hazards model was performed. Results: The results demonstrated that participants with either the primary methylation index [monomethylarsonic acid (MMA)/InAs] or the secondary methylation index [dimethylarsenic acid (DMA)/MMA] lower than their respective median values were at a higher risk of lung cancer (HRs from 3.41 to 4.66) than those with high methylation capacity. The incidence density of lung cancer increased from 79.9/100,000 (year1) to 467.4/100,000 (year1) for residents with low methylation capacity and from 0 to 158.5/100,000 (year1) for residents with high methylation capacity when the arsenic exposure dose increased from 2 to 10 ppb to 200 ppb, respectively. The analyses revealed a dose-response relationship between lung cancer occurrence and increasing arsenic concentrations in drinking water as well as cumulative arsenic exposure (monotonic trend test; P < 0.05 and P < 0.05, respectively) among the residents with low methylation capacity. The relationship between arsenic exposure and lung cancer among high methylators was not statistically significant. Conclusions: Hypomethylation responses to InAs exposure may dose dependently increase lung cancer occurrence. Impact: The high-risk characteristics observed among those exposed should be considered in future preventive medicine and research on arsenic carcinogenesis.
| Original language | English |
|---|---|
| Pages (from-to) | 756-761 |
| Number of pages | 6 |
| Journal | Cancer Epidemiology Biomarkers and Prevention |
| Volume | 26 |
| Issue number | 5 |
| DOIs | |
| State | Published - 01 05 2017 |
Bibliographical note
Publisher Copyright:© 2017 American Association for Cancer Research.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
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SDG 6 Clean Water and Sanitation
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