PO.PS01.12 · 人群科学

风险制图:2,4-D 除草剂排放与结直肠癌的空间分析

Mapping risk: spatial analysis of 2,4-D herbicide emissions and colorectal cancer

海报缩略图:风险制图:2,4-D 除草剂排放与结直肠癌的空间分析
编号 6243 展板 5 时间 4/21 02:00–05:00 区域 Section 33 主讲 Yong Zhu, PhD
分会场 Environmental and Occupational Risk Factors, Infection, and Aging
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作者与单位 Authors & Affiliations

Danny Baxter1, Dan Dixon1, Andrew Morris1, Tongzhang Zheng2, Yong Zhu1

1University of Arkansas for Medical Sciences, Little Rock, AR,2Brown University, Providence, RI

摘要 Abstract

中文摘要
结直肠癌(CRC)发病率在包括阿肯色州在内的农村农业地区依然居高不下,那里的环境暴露可能加剧了持续存在的癌症差异。然而,社区层面的环境除草剂暴露作为潜在 CRC 风险因素的研究极少,代表着一个重要的知识空白。为识别候选环境成因,我们将来自 EPA AirToxScreen 数据集的县级空气污染物排放估算值与来自美国国立癌症研究所 State Cancer Profiles 的年龄调整 CRC 发病率相整合。对阿肯色州 133 种污染物的筛查发现,2,4-二氯苯氧乙酸(2,4-D)——美国农业中使用最广泛的除草剂之一——是与 CRC 发病率相关性最强的暴露(Spearman ρ = 0.338,p = 0.003)。线性回归表明,2,4-D 排放量每增加一个对数单位,对应每 10 万人口增加 6.28 例 CRC 病例(p = 0.001),在农村和城市分层中存在类似关联。将分析扩展至 2,555 个美国县表明,该关联在全国范围内保持一致(beta = 5.94,p < 0.001)。空间误差回归改善了模型拟合度,并在考虑地理自相关后确认了该关联(beta = 2.55,p = 0.001)。对县级贫困水平进行校正后,该关联略有增强(beta = 2.81,p < 0.001),提示社会经济状况和除草剂暴露可能共同促成农业地区的 CRC 负担。尽管属于生态学研究而非因果研究,但本研究是最早评估环境层面、人群水平的 2,4-D 暴露(而非职业暴露)的研究之一,并展示了一种用于识别与精准公共卫生及农村癌症公平相关的环境致癌物候选因素的空间流行病学方法。这些发现支持了在高暴露地区开展整合个体层面暴露生物标志物、机制数据和靶向 CRC 筛查策略的后续研究的必要性。
查看英文原文 English abstract
Colorectal cancer (CRC) incidence remains disproportionately high in rural agricultural regions, including Arkansas, where environmental exposures may contribute to persistent cancer disparities. Yet, ambient community-level herbicide exposures have been minimally studied as potential CRC risk factors, representing an important knowledge gap. To identify candidate environmental contributors, we integrated county-level air pollutant emission estimates from the EPA AirToxScreen dataset with age-adjusted CRC incidence from the National Cancer Institute State Cancer Profiles. Screening 133 pollutants in Arkansas identified 2,4-dichlorophenoxyacetic acid (2,4-D), one of the most widely used herbicides in U.S. agriculture, as the exposure most strongly correlated with CRC incidence (Spearman ρ = 0.338, p = 0.003). Linear regression indicated that each one-log-unit increase in 2,4-D emissions corresponded to 6.28 additional CRC cases per 100,000 population (p = 0.001), with similar associations in rural and urban strata. Extension to 2,555 U.S. counties demonstrated a consistent association nationally (beta = 5.94, p < 0.001). Spatial error regression improved model fit and confirmed the association after accounting for geographic autocorrelation (beta = 2.55, p = 0.001). Adjustment for county-level poverty modestly strengthened the association (beta = 2.81, p < 0.001), suggesting that both socioeconomic conditions and herbicide exposure may jointly contribute to CRC burden in agricultural regions. While ecological and not causal, this study is among the first to evaluate ambient, population-level 2,4-D exposure rather than occupational exposure, and demonstrates a spatial epidemiologic approach for identifying environmental carcinogen candidates relevant to precision public health and rural cancer equity. These findings support the need for follow-up studies integrating individual-level exposure biomarkers, mechanistic data, and targeted CRC screening strategies in high-exposure regions.
利益披露 Disclosure
D. Baxter, None.. D. Dixon, None.. A. Morris, None.. T. Zheng, None.. Y. Zhu, None.

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