Associations of exposure to arsenic species and endogenous sex hormones with oral cancer: a hospital-based study in Southeastern China

IF 7.6 2区环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES

Environmental Pollution Pub Date : 2025-04-17 DOI:10.1016/j.envpol.2025.126259

Na Wang , Wenting Zhang , Haoyuan Song , Weihai Huang , Fa Chen , Fengqiong Liu , Yulan Lin , Yu Qiu , Bin Shi , Lisong Lin , Jing Wang , Baochang He

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Abstract

The effects of arsenic species and endogenous sex hormones on oral cancer risk, particularly their molecular interactions, have been infrequently reported. This study aimed to assess the individual and combined effects of arsenic species and endogenous sex hormones on oral cancer risk and elucidate the association between hormones, arsenic species, and arsenic metabolism. A case-control study (comprising 144 cases and 144 controls) was conducted from January 2020 to January 2024 in Southeastern China. Serum levels of six arsenic species and nine endogenous sex hormones were measured using High-Performance Liquid Chromatography Inductively Coupled Plasma Mass Spectrometry (HPLC-ICP-MS) and ultra-high performance liquid chromatography-high resolution mass spectrometry (UPLC-HRMS), respectively. After adjusting for potential confounders, Logistic regression showed that high exposure levels of inorganic arsenic (IAs) (adjusted OR [aOR] and 95 %CI: 0.00[0.00,0.44] and 0.45[0.25,0.78]) and Cortisone (aOR and 95 %CI: 0.16[0.07,0.35] and 0.19[0.10,0.37]) were associated with reduced oral cancer risk, both as continuous and categorical variables. Serum Melatonin, Cortisone, and Testosterone levels correlated with partial arsenic species, while Cortisone and Melatonin were linked to arsenic methylation metabolic indexes (spearman's test P < 0.05). Quantile g-computation analysis revealed that Corticosterone and Cortisone had the largest positive and negative weights on oral cancer risk, respectively (weights = 0.640 and 0.525). The combined effect of arsenic species and hormones on oral cancer was protective (β and 95 %CI: 0.36(-0.05,-0.67)), with slight gender differences. Independent of other arsenic species and hormone levels, Cortisone exhibited a protective effect against oral cancer in BKMR analysis. Additionally, an interaction effect between Melatonin and other arsenic species was also observed. In summary, Serum IAs and Cortisone were negatively associated with oral cancer, while Corticosterone showed a positive association. Further cohort studies are needed to confirm and elucidate these mechanisms.

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暴露于砷种类和内源性性激素与口腔癌的关系：中国东南部一项基于医院的研究

砷种类和内源性性激素对口腔癌风险的影响，特别是它们的分子相互作用，很少被报道。本研究旨在评估砷种类和内源性性激素对口腔癌风险的单独和联合影响，并阐明激素、砷种类和砷代谢之间的关系。本研究于2020年1月至2024年1月在中国东南部开展病例对照研究（包括144例病例和144例对照）。采用高效液相色谱-电感耦合等离子体质谱法（HPLC-ICP-MS）和超高效液相色谱-高分辨质谱法（UPLC-HRMS）分别测定6种砷和9种内源性性激素的血清水平。在对潜在混杂因素进行校正后，Logistic回归显示，无论是作为连续变量还是分类变量，高暴露水平的无机砷（IAs）（校正OR [aOR]和95%CI: 0.00[0.00,0.44]和0.45[0.25,0.78]）和可体松（aOR和95%CI: 0.16[0.07,0.35]和0.19[0.10,0.37]）都与口腔癌风险降低相关。血清褪黑激素、可的松和睾酮水平与部分砷种类相关，而可的松和褪黑激素与砷甲基化代谢指标相关（spearman检验P<；0.05）。分位数g计算分析显示，皮质酮和可的松对口腔癌风险的阳性和阴性权重最大（权重分别为0.640和0.525）。砷种类和激素对口腔癌的联合保护作用（β和95%CI: -0.36(-0.05,-0.67)），性别差异不大。在BKMR分析中，可的松显示出对口腔癌的保护作用，与其他砷种类和激素水平无关。此外，褪黑素与其他砷种之间也存在相互作用。综上所述，血清IAs和可的松与口腔癌呈负相关，而皮质酮呈正相关。需要进一步的队列研究来证实和阐明这些机制。

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来源期刊

Environmental Pollution 环境科学-环境科学

CiteScore

16.00

自引率

6.70%

发文量

2082

审稿时长

2.9 months

期刊介绍： Environmental Pollution is an international peer-reviewed journal that publishes high-quality research papers and review articles covering all aspects of environmental pollution and its impacts on ecosystems and human health. Subject areas include, but are not limited to: • Sources and occurrences of pollutants that are clearly defined and measured in environmental compartments, food and food-related items, and human bodies; • Interlinks between contaminant exposure and biological, ecological, and human health effects, including those of climate change; • Contaminants of emerging concerns (including but not limited to antibiotic resistant microorganisms or genes, microplastics/nanoplastics, electronic wastes, light, and noise) and/or their biological, ecological, or human health effects; • Laboratory and field studies on the remediation/mitigation of environmental pollution via new techniques and with clear links to biological, ecological, or human health effects; • Modeling of pollution processes, patterns, or trends that is of clear environmental and/or human health interest; • New techniques that measure and examine environmental occurrences, transport, behavior, and effects of pollutants within the environment or the laboratory, provided that they can be clearly used to address problems within regional or global environmental compartments.