Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, California, USA.
Department of Health Systems Science, Kaiser Permanente Bernard J Tyson School of Medicine, Pasadena, California, USA.
Cancer Med. 2023 Sep;12(18):18837-18849. doi: 10.1002/cam4.6507. Epub 2023 Sep 11.
We used a genome-wide discovery approach to identify methylation markers associated with metastasis in men with localized prostate cancer (PCa), as better identification of those at high risk of metastasis can inform treatment decision-making.
We identified men with localized PCa at Kaiser Permanente California (January 1, 1997-December 31, 2006) who did not receive curative treatment and followed them for 10 years to determine metastasis status. Cases were chart review-confirmed metastasis, and controls were matched using density sampling. We extracted DNA from the cancerous areas in the archived diagnostic tissue blocks. We used Illumina's Infinium MethylationEPIC BeadChip for methylation interrogation. We used conditional logistic regression and Bonferroni's correction to identify methylation markers associated with metastasis. In a separate validation cohort (2007), we evaluated the added predictive utility of the methylation score beyond clinical risk score.
Among 215 cases and 404 controls, 31 CpG sites were significantly associated with metastasis status. Adding the methylation score to the clinical risk score did not meaningfully improve the c-statistic (0.80-0.81) in the validation cohort, though the score itself was statistically significant (p < 0.01). In the validation cohort, both clinical risk score alone and methylation marker score alone are well calibrated for predicted 10-year metastasis risks. Adding the methylation score to the clinical risk score only marginally improved predictive risk calibration.
Our findings do not support the use of these markers to improve clinical risk prediction. The methylation markers identified may inform novel hypothesis in the roles of these genetic regions in metastasis development.
我们使用全基因组发现方法来鉴定与局限性前列腺癌(PCa)转移相关的甲基化标志物,因为更好地识别那些具有高转移风险的患者可以为治疗决策提供信息。
我们在 Kaiser Permanente California(1997 年 1 月 1 日-2006 年 12 月 31 日)确定了未接受根治性治疗且随访 10 年以确定转移状态的局限性 PCa 男性患者。病例通过病历复查确诊为转移,对照组则通过密度抽样进行匹配。我们从存档的诊断组织块中提取癌变区域的 DNA。我们使用 Illumina 的 Infinium MethylationEPIC BeadChip 进行甲基化检测。我们使用条件逻辑回归和 Bonferroni 校正来鉴定与转移相关的甲基化标志物。在一个独立的验证队列(2007 年)中,我们评估了甲基化评分在临床风险评分之外的附加预测效用。
在 215 例病例和 404 例对照中,有 31 个 CpG 位点与转移状态显著相关。在验证队列中,将甲基化评分添加到临床风险评分中并没有显著提高 c 统计量(0.80-0.81),尽管评分本身具有统计学意义(p<0.01)。在验证队列中,仅临床风险评分和甲基化标志物评分本身对预测 10 年转移风险的校准效果良好。将甲基化评分添加到临床风险评分中仅略微改善了预测风险的校准。
我们的研究结果不支持使用这些标志物来改善临床风险预测。鉴定出的甲基化标志物可能为这些遗传区域在转移发展中的作用提供新的假说。