Lee Shing Fung, Nikšić Maja, Luque-Fernandez Miguel Angel
Department of Radiation Oncology, National University Cancer Institute, National University Hospital, Singapore, Singapore.
Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Sci Rep. 2025 Jan 17;15(1):2345. doi: 10.1038/s41598-025-85501-5.
Predictive value of metabolic syndrome for prostate cancer risk is not clear. We aimed to assess the association between metabolic syndrome and its components with prostate cancer incidence. The primary outcome was prostate cancer incidence, i.e., incidence rate ratios and adjusted cumulative incidence curves derived from flexible parametric survival models. Adjusted cumulative incidence curves were derived using a flexible survival parametrical modeling framework. We analysed UK Biobank data including 242,349 adult males, recruited during 2006-2010 and followed up until 2021, during which 6,467 (2.7%) participants were diagnosed with prostate cancer. Our findings indicate that metabolic syndrome, as a whole, was not associated with prostate cancer risk (incidence rate ratios, 1.07; 95% confidence interval, 0.94-1.22). However, specific components such as hypertension and obesity increased the risk (incidence rate ratios, 1.22; 95% confidence interval, 1.03-1.44 and incidence rate ratios, 1.24; 95% confidence interval, 1.05-1.46, respectively). Other components, such as prediabetes/diabetes and low cholesterol, were associated with a reduced risk (incidence rate ratios, 0.80; 95% confidence interval, 0.67-0.94 and incidence rate ratios, 0.82; 95% confidence interval, 0.69-0.97, respectively), while hyperlipidaemia showed no significant effect (incidence rate ratios, 1.07; 95% confidence interval, 0.93-1.24). Further research is needed to understand the underlying mechanisms behind these relationships. Prostate cancer prevention strategies might benefit from targeting modifiable risk factors, particularly hypertension and obesity.
代谢综合征对前列腺癌风险的预测价值尚不清楚。我们旨在评估代谢综合征及其组成成分与前列腺癌发病率之间的关联。主要结局是前列腺癌发病率,即从灵活参数生存模型得出的发病率比和调整后的累积发病率曲线。调整后的累积发病率曲线是使用灵活的生存参数建模框架得出的。我们分析了英国生物银行的数据,其中包括2006年至2010年招募的242,349名成年男性,并随访至2021年,在此期间有6467名(2.7%)参与者被诊断出患有前列腺癌。我们的研究结果表明,总体而言,代谢综合征与前列腺癌风险无关(发病率比为1.07;95%置信区间为0.94-1.22)。然而,高血压和肥胖等特定成分会增加风险(发病率比分别为1.22;95%置信区间为1.03-1.44和发病率比为1.24;95%置信区间为1.05-1.46)。其他成分,如糖尿病前期/糖尿病和低胆固醇,与风险降低相关(发病率比分别为0.80;95%置信区间为0.67-0.94和发病率比为0.82;95%置信区间为0.69-0.97),而高脂血症未显示出显著影响(发病率比为1.07;95%置信区间为0.93-1.24)。需要进一步研究以了解这些关系背后的潜在机制。前列腺癌预防策略可能会受益于针对可改变的风险因素,特别是高血压和肥胖。