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探讨中国人群血脂水平与前列腺癌风险的正相关及其与病理特征的关系。

Exploring the positive association of blood lipid levels with prostate cancer risk and their relationship to pathological features in the Chinese population.

作者信息

Gui Qian, Wu Dandan, Xu Fan, Guo Yonglian

机构信息

Department of Urology, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.

Department of Urology, Tianyou Hospital Affiliated to Wuhan University of Science and Technology, Wuhan, China.

出版信息

Medicine (Baltimore). 2025 Mar 21;104(12):e41762. doi: 10.1097/MD.0000000000041762.

Abstract

Presently, the majority of investigations into the effects blood lipids on prostate cancer (PCa) primarily involve Western populations. Our study endeavors to investigate the impact of blood lipid levels on the risk of PCa among the Chinese population and to elucidate their potential association with the pathological characteristics of PCa. This study drew data from a dataset for early warning of PCa from the China National Population Health Science Data Center, encompassing 2624 patients who had undergone prostate biopsy. We utilized binary logistic regression to assess the ability of blood lipid levels to distinguish between PCa and non-PCa, as well as to differentiate clinically significant prostate cancer (csPCa) from non-PCa. Additionally, we assessed the ability of these lipid markers to predict whether the Gleason Grade (GG) would be upgraded or downgraded following radical prostatectomy compared to the biopsy GG. Furthermore, ordered multiclass logistic regression was employed to explore the relationship between these indicators and GG. In the Chinese population, triglycerides (P = .004; OR: 1.344; 95% CI: 1.201-1.503), low-density lipoprotein cholesterol (P < .001; OR: 1.314; 95% CI: 1.200-1.439), and apolipoprotein A1 (P < .001; OR: 2.451; 95% CI: 1.714-3.504) were identified as independent risk factors for predicting PCa. Additionally, triglycerides (P = .013; OR: 1.156; 95% CI: 1.031-1.295) and apolipoprotein A1 (P < .001; OR: 2.580; 95% CI: 1.809-3.680) were found to be independent risk factors for predicting csPCa. Our study demonstrated a positive association between blood lipid levels and PCa risk in the Chinese population, highlighting the potential utility of blood lipids as biomarkers for PCa. In male individuals with a familial predisposition to PCa or other recognized risk factors for PCa, the assessment of blood lipid levels can be incorporated as an auxiliary biomarker in the routine health screening protocol.

摘要

目前,大多数关于血脂对前列腺癌(PCa)影响的研究主要涉及西方人群。我们的研究旨在调查中国人群中血脂水平对PCa风险的影响,并阐明它们与PCa病理特征的潜在关联。本研究从中国国家人口健康科学数据中心的PCa早期预警数据集中提取数据,该数据集涵盖2624例接受前列腺活检的患者。我们使用二元逻辑回归来评估血脂水平区分PCa和非PCa的能力,以及区分临床显著性前列腺癌(csPCa)和非PCa的能力。此外,我们评估了这些血脂标志物预测前列腺癌根治术后Gleason分级(GG)与活检GG相比是升高还是降低的能力。此外,采用有序多分类逻辑回归来探讨这些指标与GG之间的关系。在中国人群中,甘油三酯(P = 0.004;OR:1.344;95% CI:1.201 - 1.503)、低密度脂蛋白胆固醇(P < 0.001;OR:1.314;95% CI:1.200 - 1.439)和载脂蛋白A1(P < 0.001;OR:2.451;95% CI:1.714 - 3.504)被确定为预测PCa的独立危险因素。此外,甘油三酯(P = 0.013;OR:1.156;95% CI:1.031 - 1.295)和载脂蛋白A1(P < 0.001;OR:2.580;95% CI:1.809 - 3.680)被发现是预测csPCa的独立危险因素。我们的研究表明,中国人群中血脂水平与PCa风险呈正相关,突出了血脂作为PCa生物标志物的潜在效用。在有PCa家族易感性或其他公认PCa危险因素的男性个体中,血脂水平的评估可作为常规健康筛查方案中的辅助生物标志物。

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