在预测前列腺癌的炎症标志物的高级风险特征分析使用瑞典Apolipoprotein相关的MORtality RISk (AMORIS) 队列
G George1, M Rowley1,2, A C C Coolen3,4
1Transforming Cancer Outcomes Through Research, King's College London, London, UK.
概括
使用诸如C反应蛋白 (CRP) 等生物标志物的高级前列腺癌 (PCa) 风险预测发现年龄是主要的预测因素. 其他生物标志物显示预测价值有限,这表明传统方法可能高估了它们在PCa风险评估中的作用.
科学领域:
- 在瘤学瘤学.
- 生物标志物 生物标志物
- 流行病学 流行病学
背景情况:
- 前列腺癌 (PCa) 的预后与C反应性蛋白 (CRP),哈普托格洛宾和专蛋白等生物标志物有关.
- 先进的方法对于准确的基于生物标志物的PCa风险预测至关重要.
研究的目的:
- 使用考克斯模型和风险特征分析来评估PCa风险.
- 在大型队列中评估生物标志物和临床因素的预测价值.
主要方法:
- 使用了瑞典阿波利波蛋白相关的死亡风险 (AMORIS) 队列 (>800,000个人).
- 采用了考克斯的比例危险模型和风险特征分析,包括重复的生物标志物测量和共变相互作用.
- 根据年龄,社会经济地位,教育程度,查尔森并发症指数 (CCI) 和癌症史进行调整.
主要成果:
- 年龄被确定为PCa风险的主导预测因素 (HR为每年1.15).
- 较高的CRP和CCI≥2显著增加了PCa风险.
- 风险标志显示出强大的预测准确性 (AUC:0.82;Harrell's C:0.72),并指出了相互作用效应.
结论:
- 年龄是PCa风险的主要预测因素.
- 较高的CRP与较高的PCa风险相关,但其他测试的生物标志物具有有限的预测价值.
- 先进的风险分析表明,传统方法可能会高估PCa预测中的生物标志物作用.
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