PO.PR01.01 · 预防研究

重金属暴露与波多黎各的癌症发病率

Heavy-metal exposure and cancer incidence in Puerto Rico

海报缩略图:重金属暴露与波多黎各的癌症发病率
编号 2377 展板 13 时间 4/20 09:00–12:00 区域 Section 37 主讲 Hilmaris Centeno-Girona, BS;MS
分会场 Cancer Disparities
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作者与单位 Authors & Affiliations

Ingrid M. Montes-Rodríguez, Yoel A. Velázquez-Oliver, Hilmaris Centeno-Girona, Camille Zenon, Elba V. Caraballo

University of Puerto Rico Comprehensive Cancer Center, San Juan, PR

摘要 Abstract

中文摘要
背景:波多黎各(PR)的总体癌症发病率存在地理差异,早发病例的增多提示可能存在塑造癌症风险的地区特异性因素。与工业活动及历史遗留污染物相关的重金属持续毒性暴露,可能是这些地区差异的潜在原因。重金属是普遍存在的环境污染物;累积暴露已被证实与DNA甲基化及其他调控细胞周期、DNA修复和免疫功能的表观遗传机制的紊乱相关,为癌症易感性升高提供了合理的生物学基础。来自不同人群的证据将金属暴露与癌症风险联系起来,提示地区性金属谱可能影响当地癌症负担。迄今为止,仅有少数研究检验了PR各地区金属暴露与癌症发病率之间的关联。 目的:本研究检验以下假设,即在市级层面进行分析时,全人群对重金属毒性排放的暴露与PR各地的癌症发病模式相一致。我们利用现有数据,整合了来自联邦数据库的工业排放数据与来自波多黎各中央癌症登记处(PRCCR)的2018-2022年癌症发病记录。 方法:从PRCCR获取了2018-2022年期间PR最常见癌症类型的总体及早发病例的年龄校正发病率。金属排放数据来源于美国EPA 2008-2018年的有毒物质排放清单,并在市级层面汇总。在78个市中,识别出23个具有正排放值的市并纳入分析。采用带p值的Spearman相关分析量化重金属排放与癌症发病率之间的关系。使用基于Jenks自然断点法的双变量分级统计地图和比例符号来可视化地理模式。统计分析在R 4.3.2中使用RStudio进行,空间制图在QGIS 3.40中完成。 结果:汞和铅暴露与总体癌症发病率的关联最强,r值分别为0.70(p < 0.001)和0.68(p < 0.001)。铅和汞也与前列腺癌相关(r = 0.53,p < 0.01;r = 0.65,p < 0.001)。汞和镍与白血病相关(r = 0.40,p < 0.05;r = 0.41,p < 0.05)。钴和锌与甲状腺癌相关(r = 0.467,p < 0.05;r = 0.69,p < 0.001)。此外,这些金属与早发甲状腺癌相关(r = 0.42,p < 0.05;r = 0.45,p < 0.05)。锰与总体及早发子宫癌均相关(r = 0.40,p < 0.05;r = 0.38,p < 0.05)。 结论:总体而言,这些模式提示特定金属暴露可能促成癌症风险。未来的工作应纳入其他暴露途径,并开展以假设为导向的研究,以识别针对高暴露地区的靶向预防策略。
查看英文原文 English abstract
Background: Puerto Rico (PR) exhibits geographic variation in overall cancer incidence, with rising early-onset cases suggesting region-specific factors that shape cancer risk. Persistent toxic exposure to heavy metals associated with industrial activity and legacy pollutants may underlie these regional differences. Heavy metals are pervasive environmental contaminants; accumulating exposures have been linked to disruptions in DNA methylation and other epigenetic mechanisms that regulate the cell cycle, DNA repair, and immune function, providing a plausible biological basis for increased cancer susceptibility. Evidence from diverse populations links metal exposure to cancer risk, suggesting regional metal profiles may affect local cancer burden. To date, there have been only a limited number of studies testing the association between regional metal exposures and cancer incidence across PR. Objective: This study tests the hypothesis that population-wide exposure to heavy metal toxic releases aligns with cancer incidence patterns across PR when analyzed at the municipal level. Leveraging existing data, we integrated industrial-emission data from federal databases and cancer incidence records from the Puerto Rico Central Cancer Registry (PRCCR) spanning 2018-2022. Methods: Age-adjusted incidence rates for overall and early-onset cases of the most prevalent cancer types in PR were obtained from the PRCCR for the period 2018-2022. Metal emission data were sourced from the U.S. EPA Toxics Release Inventory for 2008-2018 and aggregated at the municipality level. Out of 78 municipalities, 23 were identified with positive emissions values and were included in the analysis. Spearman correlations with p-values were used to quantify relationships between heavy metal emissions and cancer rates. Bivariate choropleth maps using Jenks Natural Breaks and proportional symbols were used to visualize geographic patterns. Statistical analyses were conducted in R 4.3.2 using RStudio, and spatial mapping was done in QGIS 3.40. Results: Mercury and lead exposure showed the strongest associations with overall cancer incidence, with r = 0.70 (p < 0.001) and r = 0.68 (p < 0.001), respectively. Lead and mercury also correlated with prostate cancer (r = 0.53, p < 0.01; r = 0.65, p < 0.001). Mercury and nickel were associated with leukemia (r = 0.40, p < 0.05; r = 0.41, p < 0.05). Cobalt and zinc were associated with thyroid cancer (r = 0.467, p < 0.05; r = 0.69, p < 0.001). Additionally, these metals correlated with early-onset thyroid cancer (r = 0.42, p < 0.05; r = 0.45, p < 0.05). Manganese showed associations with both overall and early-onset uterus cancer (r = 0.40, p < 0.05; r = 0.38, p < 0.05). Conclusion: Collectively, these patterns suggest that specific metal exposure may contribute to cancer risk. Future work should incorporate other exposure routes and pursue hypothesis-driven studies to identify targeted prevention strategies for high-exposure regions.
利益披露 Disclosure
I. M. Montes-Rodríguez, None.. Y. A. Velázquez-Oliver, None.. H. Centeno-Girona, None.. C. Zenon, None.. E. V. Caraballo, None.

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