慢性病和发生癌症的风险:个体参与者数据的元分析
Yejin Mok1, Aditya Surapaneni2, Yingying Sang3
1Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, and Welch Center for Prevention, Epidemiologyand Clinical Research, Baltimore, MD, USA.
British journal of cancer
|September 6, 2025
概括
慢性病 (CKD) 标志性白尿,不估计的球过率 (eGFR),与癌症风险增加有关. 这项大规模的分析强调了白蛋白尿是癌症发展的重要因素.
科学领域:
- 科和瘤科
- 流行病学和公共卫生
- 慢性疾病研究
背景情况:
- 关于慢性病与癌症风险之间的联系存在矛盾的证据.
- 了解功能标志物与癌症发病率之间的关系对于风险分层和预防至关重要.
研究的目的:
- 调查损伤标志物,特别是白蛋白尿和估计的球过率 (eGFR) 与整体和特定部位癌症的风险之间的联系.
- 通过大规模的个人参与者数据元分析,澄清白蛋白尿和eGFR对癌症风险的独立贡献.
主要方法:
- 54个国际队列的个人参与者数据元分析 (CKD预测联盟).
- 包括1,319,308名以前没有癌症或功能衰竭的成年人,以及关于白蛋白尿 (ACR),eGFR,癌症发病率和风险因素的数据.
- 使用调整的危险比率进行统计分析,以评估ACR/eGFR与癌症风险之间的关联.
主要成果:
- 尿中白蛋白与肌素比率 (ACR) 的提高与整体癌症风险的增加有显著关联 (aHR为1. 08个增长的8倍).
- 估计的膜过率 (eGFR) 与整体癌症风险没有关联.
- 较低的eGFR与泌尿系统癌症和多发性骨髓瘤有关;较高的ACR与许多癌症有关,包括脏,头,结肠直肠,肝脏,肺和血淋巴癌.
结论:
- 专尿是随后癌症发展的独立危险因素.
- 估计的膜过率 (eGFR) 似乎与整体癌症风险没有独立的关联.
- 需要进一步的研究,以阐明与癌症相关的生物机制.
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