Genome-wide methylation profiling of diagnostic tumor specimens identified DNA methylation markers associated with metastasis among men with untreated localized prostate cancer

被引:3
|
作者
Chao, Chun R. [1 ,2 ,9 ]
Slezak, Jeff [1 ]
Siegmund, Kimberly [3 ]
Cannavale, Kimberly [1 ]
Shu, Yu-Hsiang [1 ]
Chien, Gary W. [4 ]
Chen, Xu-Feng [5 ]
Shi, Feng [6 ]
Song, Nan [7 ]
Van Den Eeden, Stephen K. [8 ]
Huang, Jiaoti [5 ]
机构
[1] Kaiser Permanente Southern Calif, Dept Res & Evaluat, Pasadena, CA USA
[2] Kaiser Permanente Bernard J Tyson Sch Med, Dept Hlth Syst Sci, Pasadena, CA USA
[3] Univ Southern Calif, USC Keck Sch Med, Dept Populat & Publ Hlth Sci, Los Angeles, CA USA
[4] Kaiser Permanente Southern Calif, Los Angeles Med Ctr, Dept Urol, Los Angeles, CA USA
[5] Duke Univ, Sch Med, Dept Pathol, Durham, NC USA
[6] Capital Med Univ, Beijing Shijitan Hosp, Dept Pathol, Beijing, Peoples R China
[7] Beijing Shijitan Hosp, Capital Med Univ, Dept Urol, Beijing, Peoples R China
[8] Kaiser Permanente Northern Calif, Div Res, Oakland, CA USA
[9] Kaiser Permanente Southern Calif, Dept Res & Evaluat, 100 S Los Robles Ave,2 floor, Pasadena, CA 91101 USA
来源
CANCER MEDICINE | 2023年 / 12卷 / 18期
关键词
epigenetics; metastasis; methylation; prostate cancer; risk model; APOPTOSIS; NOMOGRAM; GENES; VALIDATION; PREDICTION;
D O I
10.1002/cam4.6507
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Background: 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. Methods: 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. Results: Among 215 cases and 404 controls, 31 CpG sites were significantly associated with metastasis status. Adding the methylation score to the clinicalrisk 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. Conclusion: 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.
引用
收藏
页码:18837 / 18849
页数:13
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