高解密基因组风险得分与接受前列腺癌积极监测的患者的重大病理进展有关
Kevin Shee1, William A Pace1, Jonathan J Song1
1Department of Urology, Helen Diller Family Comprehensive Cancer Center, University of California-San Francisco, San Francisco, CA, USA.
European urology oncology
|January 31, 2026
概括
基因组解码得分预测在积极监测前列腺癌的男性中,主要的升级和不利的组织学. 较低的解密分数可能支持对有利风险疾病的监测减强.
科学领域:
- 在瘤学瘤学.
- 基因组学就是基因组学.
- 泌尿器科 泌尿器科 泌尿器科 泌尿器科
背景情况:
- 积极监测 (AS) 是有利风险前列腺癌的标准.
- 基因组测试对AS结果的作用还没有得到充分的研究.
- 解密分数评估前列腺癌的基因组风险.
研究的目的:
- 调查解密基因组分数和AS结果之间的关联.
- 为了确定解密得分是否预测AS期间的疾病进展.
- 为了为患有前列腺癌的男性提供临床决策信息.
主要方法:
- 对486名AS男性进行了回顾性队列研究,并进行了解密测试.
- 主要结局:任何升级,重大升级 (GG≥3) 和随后的活检上不良的组织学.
- 多变量考克斯回归模型根据CAPRA得分和临床人口统计变量进行调整.
主要成果:
- 在对CAPRA分数进行调整后,解密分数与重大升级 (HR 3.37) 和不利的组织学 (HR 3.68) 有关.
- 高解密风险独立预测主要升级 (HR 2.00-2.65) 和不利的组织学 (HR 4.53).
- 解密得分与任何升级之间没有发现任何关联;较低的解密得分可能表明适合降低监视强度.
结论:
- 解读基因组分数与男性在前列腺癌积极监测中的不良病理结果有关.
- 基因组测试可以比传统方法 (如CAPRA) 更精确风险分层.
- 较低的解密分数可能允许减少主动监控的强度,减少不必要的干预.
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