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生物衰老与前列腺癌的关联:来自国家健康和营养检查调查的启示。

Association of biological aging with prostate cancer: insights from the National Health and Nutrition Examination Survey.

机构信息

Department of Urology, The First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang, China.

Ningbo Clinical Research Center for Urological Disease, Ningbo, Zhejiang, China.

出版信息

Aging Clin Exp Res. 2024 Oct 24;36(1):209. doi: 10.1007/s40520-024-02861-0.

Abstract

The link between biological aging and prostate cancer (PCa) risk, particularly as indicated by elevated prostate-specific antigen (PSA) levels, remains uncertain. This study utilized data from the National Health and Nutrition Examination Survey (2001-2010) to explore this association. Biological age was assessed using Klemera-Doubal method age (KDMAge) and phenotypic age (PhenoAge). PCa was identified through self-reported diagnoses, and highly probable PCa was determined by PSA levels. We analyzed the prevalence of PCa and PSA-defined highly probable PCa across quartiles of biological age measures using weighted chi-square and linear trend tests. Associations were evaluated using weighted multiple logistic regression models. Among 7,209 and 6,682 males analyzed, the overall weighted prevalence of PCa was 2.86%, increasing to 9.60% in those aged 65 and above. A significant rise in PCa prevalence was observed with higher quartiles of KDMAge or PhenoAge (P for trend < 0.001), particularly in those under 65. In this younger group, higher PhenoAge acceleration quartiles were linked to increased PCa prevalence and higher risk of PCa (OR = 1.50, P = 0.015) as well as highly probable PCa in those without a diagnosis (OR = 1.28, P = 0.031). These findings suggest that accelerated biological aging is associated with an increased risk of PCa and may indicate early risk as signaled by PSA levels, even in those without a PCa diagnosis.

摘要

生物年龄与前列腺癌(PCa)风险之间的关联,特别是由前列腺特异性抗原(PSA)水平升高所表明的关联,仍然不确定。本研究利用了国家健康和营养检查调查(2001-2010 年)的数据来探讨这种关联。使用 Klemera-Doubal 方法年龄(KDMAge)和表型年龄(PhenoAge)评估生物年龄。通过自我报告的诊断来识别 PCa,通过 PSA 水平确定高度可能的 PCa。我们使用加权卡方和线性趋势检验分析了生物年龄测量的四分位数中 PCa 和 PSA 定义的高度可能的 PCa 的患病率。使用加权多因素逻辑回归模型评估了相关性。在分析的 7209 名和 6682 名男性中,PCa 的总体加权患病率为 2.86%,在 65 岁及以上的人群中增加到 9.60%。随着 KDMAge 或 PhenoAge 四分位升高,PCa 的患病率显著上升(趋势 P < 0.001),尤其是在 65 岁以下的人群中。在这个年轻的人群中,较高的 PhenoAge 加速四分位与 PCa 患病率增加和 PCa 风险增加(OR = 1.50,P = 0.015)以及无诊断的高度可能的 PCa 相关(OR = 1.28,P = 0.031)。这些发现表明,加速的生物衰老与 PCa 的风险增加有关,并且可能表明即使在没有 PCa 诊断的情况下,PSA 水平也预示着早期风险。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1a60/11502538/eb2649b277c3/40520_2024_2861_Fig1_HTML.jpg

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