AI Article Synopsis
- Environmental pollution, specifically heavy metals, may negatively impact the prognosis of advanced high-grade serous ovarian cancer (HGSOC), but current evidence is limited.
- A study involving 159 deceased HGSOC patients and 159 matched living patients analyzed urinary levels of five heavy metals—arsenic, cadmium, chromium, mercury, and lead—using statistical models to determine associations with overall survival (OS).
- The results showed significant links between high levels of arsenic, cadmium, mercury, and lead in urine and poorer OS, with lead being the most influential in negatively affecting survival, indicating a need for further research.
Article Abstract
Background: 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.
Objective: To elucidate the relationship between urinary heavy metals and their mixtures with overall survival (OS) of advanced high-grade serous ovarian cancer (HGSOC).
Methods: 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.
Results: 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.
Conclusions: High urinary heavy metal concentrations were linked to worse OS of HGSOC. Future research is necessary to validate our findings.
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| http://dx.doi.org/10.1016/j.ecoenv.2024.117176 | DOI Listing |
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