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

Author:

Chao Chun R.12ORCID,Slezak Jeff1ORCID,Siegmund Kimberly3ORCID,Cannavale Kimberly1ORCID,Shu Yu‐Hsiang1ORCID,Chien Gary W.4ORCID,Chen Xu‐Feng5ORCID,Shi Feng6ORCID,Song Nan7ORCID,Van Den Eeden Stephen K.8ORCID,Huang Jiaoti5ORCID

Affiliation:

1. Department of Research and Evaluation Kaiser Permanente Southern California Pasadena California USA

2. Department of Health Systems Science Kaiser Permanente Bernard J Tyson School of Medicine Pasadena California USA

3. Department of Population and Public Health Sciences, USC Keck School of Medicine University of Southern California Los Angeles California USA

4. Department of Urology, Los Angeles Medical Center Kaiser Permanente Southern California Los Angeles California USA

5. Department of Pathology, School of Medicine Duke University Durham North Carolina USA

6. Department of Pathology, Beijing Shijitan Hospital Capital Medical University Beijing China

7. Department of Urology Beijing Shijitan Hospital Capital Medical University Beijing China

8. Division of Research Kaiser Permanente Northern California Oakland California USA

Abstract

AbstractBackgroundWe 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.MethodsWe 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.ResultsAmong 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.ConclusionOur 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.

Funder

National Cancer Institute

Publisher

Wiley

Subject

Cancer Research,Radiology, Nuclear Medicine and imaging,Oncology

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