Devi Varsha, Chaudhary Vaibhav, Sharma Monika, Kumari Sweta, Pal Biplab
School of Pharmaceutical Sciences, CT University, Ludhiana, Punjab, India.
School of Pharmaceutical Sciences, Lovely Professional University, Phagwara, Punjab, 144411, India.
Cancer Causes Control. 2025 Jul 21. doi: 10.1007/s10552-025-02041-z.
Prostate cancer (PC) is a major health concern and may be influenced by trace elements (TEs) like copper, selenium, manganese, and iron. This study aimed to analyze the difference in serum levels of these TEs in PC patients versus healthy controls.
A comprehensive search for relevant literature was conducted across PubMed, Embase, Scopus, and Google Scholar, including studies up to December 2024. Data was analyzed using RevMan software, with standardized mean differences (SMDs) and 95% confidence intervals (CIs) for effect size. Subgroup analysis was carried out based on the method used to measure serum levels.
This study analyzed data from 12 articles, including serum copper levels in 11, selenium in 8, manganese in 4, and iron in 6. Serum copper levels were significantly higher in PC patients compared to controls (SMD: 1.85; 95% CI [0.85, 2.86]; p = 0.0003). In contrast, serum selenium levels were substantially lower in PC patients (SMD: - 2.45; 95% CI [- 3.84, - 1.05]; p = 0.0006). Although alterations were observed in serum manganese (SMD: - 0.57; 95% CI [- 2.61, 1.47]; p = 0.58) and iron (SMD: 0.63; 95% CI [- 1.51, 2.76]; p = 0.57) levels, these changes did not reach statistical significance. Subgroup analysis based on measurement methods revealed statistically significant differences between subgroups for copper, selenium, and iron, while no substantial subgroup difference was found for manganese.
The study identified significant changes in serum copper and selenium levels in PC patients, indicating their potential as biomarkers and enhancing our understanding of TE involvement in PC.
前列腺癌（PC）是一个主要的健康问题，可能受到铜、硒、锰和铁等微量元素（TEs）的影响。本研究旨在分析PC患者与健康对照者血清中这些TEs水平的差异。
在PubMed、Embase、Scopus和谷歌学术上全面检索相关文献，包括截至2024年12月的研究。使用RevMan软件分析数据，效应量采用标准化均数差（SMDs）和95%置信区间（CIs）。根据测量血清水平的方法进行亚组分析。
本研究分析了12篇文章的数据，包括11篇关于血清铜水平、8篇关于硒水平（的文章）、4篇关于锰水平（的文章）和6篇关于铁水平（的文章）。与对照组相比，PC患者的血清铜水平显著更高（SMD：1.85；95% CI [0.85, 2.86]；p = 0.0003）。相反，PC患者的血清硒水平显著更低（SMD： - 2.45；95% CI [- 3.84, - 1.05]；p = 0.0006）。尽管血清锰（SMD： - 0.57；95% CI [- 2.61, 1.47]；p = 0.58）和铁（SMD：0.63；95% CI [- 1.51, 2.76]；p = 0.57）水平有变化，但这些变化未达到统计学意义。基于测量方法的亚组分析显示，铜、硒和铁在亚组间存在统计学显著差异，而锰未发现显著的亚组差异。
该研究发现PC患者血清铜和硒水平有显著变化，表明它们作为生物标志物的潜力，并增进了我们对TEs参与PC的理解。
