环境污染已成为卵巢癌预后的重要决定因素。然而，关于重金属与卵巢癌预后之间的相关性的证据有限。旨在阐明尿液重金属及其混合物与晚期高级别浆液性卵巢癌（HGSOC）总生存期（OS）之间的关系。在卵巢癌中-Up 研究，我们进行了一项巢式病例对照研究。总共包括 159 名死亡患者和同等数量的活着患者，并根据采样日期、体重指数和诊断时年龄进行匹配。对五种重金属的尿液浓度进行了定量：砷 (As)、镉 (Cd)、铬 (Cr)、汞 (Hg) 和铅 (Pb)。采用条件逻辑回归模型来计算比值比 (OR) 及其 95% 置信区间 (CI)。为了阐明联合效应，我们利用分位数 g 计算和贝叶斯核机器回归模型。对于多变量调整条件逻辑回归模型，发现高尿砷水平之间存在显着关联（OR=1.99，95%CI：1.05-3.79） 、Cd (OR=2.56, 95%CI: 1.29-5.05)、Hg (OR=2.24, 95%CI: 1.09-4.62) 和 Pb (OR=3.80, 95%CI: 1.75-8.27) 以及较差的 OS HGSOC，将最高三分位数与最低三分位数进行比较。联合效应分析表明，重金属混合物浓度升高与 HGSOC 较差的 OS 相关。 Pb 对金属混合物内的总体关联表现出最高的贡献。尿重金属浓度高与 HGSOC 的 OS 较差相关。未来的研究需要验证我们的发现。版权所有 © 2024。由 Elsevier Inc. 出版。

Environmental pollution has emerged as a significant determinant in ovarian cancer prognosis. However, limited evidence exists regarding the correlations between heavy metals and ovarian cancer prognosis.To elucidate the relationship between urinary heavy metals and their mixtures with overall survival (OS) of advanced high-grade serous ovarian cancer (HGSOC).Within the Ovarian Cancer Follow-Up Study, we conducted a nested case-control study. A sum of 159 deceased patients and an equal number of alive patients were included, matched by sample date, body mass index, and age at diagnosis. Urinary concentrations of five heavy metals were quantified: arsenic (As), cadmium (Cd), chromium (Cr), mercury (Hg), and lead (Pb). Conditional logistic regression models were employed to calculate odds ratios (ORs) and their 95 % confidence intervals (CIs). To elucidate joint effects, we utilized quantile g-computation and Bayesian kernel machine regression models.For the multivariable adjusted conditional logistic regression model, significant associations were found between high urinary levels of As (OR=1.99, 95 %CI: 1.05-3.79), Cd (OR=2.56, 95 %CI: 1.29-5.05), Hg (OR=2.24, 95 %CI: 1.09-4.62), and Pb (OR=3.80, 95 %CI: 1.75-8.27) and worse OS of HGSOC, comparing the highest tertile to the lowest. Analysis of joint effects showed that elevated concentrations of heavy metal mixtures were related to poor OS of HGSOC. Pb exhibited the highest contribution to the overall association within the metal mixtures.High urinary heavy metal concentrations were linked to worse OS of HGSOC. Future research is necessary to validate our findings.Copyright © 2024. Published by Elsevier Inc.