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

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 PC...

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Autores principales: Chao, Chun R., Slezak, Jeff, Siegmund, Kimberly, Cannavale, Kimberly, Shu, Yu‐Hsiang, Chien, Gary W., Chen, Xu‐Feng, Shi, Feng, Song, Nan, Van Den Eeden, Stephen K., Huang, Jiaoti
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10557825/
https://www.ncbi.nlm.nih.gov/pubmed/37694549
http://dx.doi.org/10.1002/cam4.6507
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author Chao, Chun R.
Slezak, Jeff
Siegmund, Kimberly
Cannavale, Kimberly
Shu, Yu‐Hsiang
Chien, Gary W.
Chen, Xu‐Feng
Shi, Feng
Song, Nan
Van Den Eeden, Stephen K.
Huang, Jiaoti
author_facet Chao, Chun R.
Slezak, Jeff
Siegmund, Kimberly
Cannavale, Kimberly
Shu, Yu‐Hsiang
Chien, Gary W.
Chen, Xu‐Feng
Shi, Feng
Song, Nan
Van Den Eeden, Stephen K.
Huang, Jiaoti
author_sort Chao, Chun R.
collection PubMed
description 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 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. 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.
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spelling pubmed-105578252023-10-07 Genome‐wide methylation profiling of diagnostic tumor specimens identified DNA methylation markers associated with metastasis among men with untreated localized prostate cancer Chao, Chun R. Slezak, Jeff Siegmund, Kimberly Cannavale, Kimberly Shu, Yu‐Hsiang Chien, Gary W. Chen, Xu‐Feng Shi, Feng Song, Nan Van Den Eeden, Stephen K. Huang, Jiaoti Cancer Med RESEARCH ARTICLES 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 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. 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. John Wiley and Sons Inc. 2023-09-11 /pmc/articles/PMC10557825/ /pubmed/37694549 http://dx.doi.org/10.1002/cam4.6507 Text en © 2023 The Authors. Cancer Medicine published by John Wiley & Sons Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle RESEARCH ARTICLES
Chao, Chun R.
Slezak, Jeff
Siegmund, Kimberly
Cannavale, Kimberly
Shu, Yu‐Hsiang
Chien, Gary W.
Chen, Xu‐Feng
Shi, Feng
Song, Nan
Van Den Eeden, Stephen K.
Huang, Jiaoti
Genome‐wide methylation profiling of diagnostic tumor specimens identified DNA methylation markers associated with metastasis among men with untreated localized prostate cancer
title Genome‐wide methylation profiling of diagnostic tumor specimens identified DNA methylation markers associated with metastasis among men with untreated localized prostate cancer
title_full Genome‐wide methylation profiling of diagnostic tumor specimens identified DNA methylation markers associated with metastasis among men with untreated localized prostate cancer
title_fullStr Genome‐wide methylation profiling of diagnostic tumor specimens identified DNA methylation markers associated with metastasis among men with untreated localized prostate cancer
title_full_unstemmed Genome‐wide methylation profiling of diagnostic tumor specimens identified DNA methylation markers associated with metastasis among men with untreated localized prostate cancer
title_short Genome‐wide methylation profiling of diagnostic tumor specimens identified DNA methylation markers associated with metastasis among men with untreated localized prostate cancer
title_sort genome‐wide methylation profiling of diagnostic tumor specimens identified dna methylation markers associated with metastasis among men with untreated localized prostate cancer
topic RESEARCH ARTICLES
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10557825/
https://www.ncbi.nlm.nih.gov/pubmed/37694549
http://dx.doi.org/10.1002/cam4.6507
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