Decelerated DNA methylation age predicts poor prognosis of breast cancer

Abstract Background DNA methylation (DNAm) age was found to be an indicator for all-cause mortality, cancer incidence, and longevity, but no study has involved in the associations of DNAm age with the prognosis of breast cancer. Methods We retrieved information of 1076 breast cancer patients from Ge...

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Main Authors: Jun-Ting Ren, Mei-Xia Wang, Yi Su, Lu-Ying Tang, Ze-Fang Ren
Format: Article
Language:English
Published: BMC 2018-10-01
Series:BMC Cancer
Subjects:
Online Access:http://link.springer.com/article/10.1186/s12885-018-4884-6
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spelling doaj-e8be4cd69848404faa15814c7cccdb042020-11-25T01:49:21ZengBMCBMC Cancer1471-24072018-10-011811810.1186/s12885-018-4884-6Decelerated DNA methylation age predicts poor prognosis of breast cancerJun-Ting Ren0Mei-Xia Wang1Yi Su2Lu-Ying Tang3Ze-Fang Ren4The School of Public Health, Sun Yat-sen UniversityThe School of Public Health, Sun Yat-sen UniversityDepartment of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong KongThe Third Affiliated Hospital, Sun Yat-sen UniversityThe School of Public Health, Sun Yat-sen UniversityAbstract Background DNA methylation (DNAm) age was found to be an indicator for all-cause mortality, cancer incidence, and longevity, but no study has involved in the associations of DNAm age with the prognosis of breast cancer. Methods We retrieved information of 1076 breast cancer patients from Genomic Data Commons (GDC) data portal on March 30, 2017, including breast cancer DNAm profiling, demographic features, clinicopathological parameters, recurrence, and all-cause fatality. Horvath’s method was applied to calculate the DNAm age. Cox proportional hazards regression models were used to test the associations between DNAm age of the cancerous tissues and the prognosis (recurrence of breast cancer and all-cause fatality) with or without adjusting for chronological age and clinicopathological parameters. Results The DNAm age was markedly decelerated in the patients who were premenopausal, ER or PR negative, HER2-enriched or basal-like than their counterparts. In the first five-year follow-up dataset for survival, every ten-year increase in DNAm age was associated with a 15% decrease in fatality; subjects with DNAm age in the second (HR: 0.52; 95%CI: 0.29–0.92), the third (HR: 0.49; 95%CI: 0.27–0.87) and the fourth quartile (HR: 0.38; 95%CI: 0.20–0.72) had significant longer survival time than those in the first quartile. In the first five-year follow-up dataset for recurrence, every ten-year increase in DNAm age was associated with a 14% decrease of the recurrence; in the categorical analysis, a clear dose-response was shown (P for trend =0.02) and the fourth quartile was associated with a longer recurrence free survival (HR: 0.32; 95%CI: 0.14–0.74). In the full follow-up dataset, similar results were obtained. Conclusions DNAm age of breast cancer tissue, which associated with menopausal status and pathological features, was a strong independent predictor of the prognosis. It was suggested that the prognosis of breast cancer was related to intrinsic biological changes and specific molecular targets for treatment of breast cancer may be implicit.http://link.springer.com/article/10.1186/s12885-018-4884-6DNA methylation ageBreast cancerPrognosis
collection DOAJ
language English
format Article
sources DOAJ
author Jun-Ting Ren
Mei-Xia Wang
Yi Su
Lu-Ying Tang
Ze-Fang Ren
spellingShingle Jun-Ting Ren
Mei-Xia Wang
Yi Su
Lu-Ying Tang
Ze-Fang Ren
Decelerated DNA methylation age predicts poor prognosis of breast cancer
BMC Cancer
DNA methylation age
Breast cancer
Prognosis
author_facet Jun-Ting Ren
Mei-Xia Wang
Yi Su
Lu-Ying Tang
Ze-Fang Ren
author_sort Jun-Ting Ren
title Decelerated DNA methylation age predicts poor prognosis of breast cancer
title_short Decelerated DNA methylation age predicts poor prognosis of breast cancer
title_full Decelerated DNA methylation age predicts poor prognosis of breast cancer
title_fullStr Decelerated DNA methylation age predicts poor prognosis of breast cancer
title_full_unstemmed Decelerated DNA methylation age predicts poor prognosis of breast cancer
title_sort decelerated dna methylation age predicts poor prognosis of breast cancer
publisher BMC
series BMC Cancer
issn 1471-2407
publishDate 2018-10-01
description Abstract Background DNA methylation (DNAm) age was found to be an indicator for all-cause mortality, cancer incidence, and longevity, but no study has involved in the associations of DNAm age with the prognosis of breast cancer. Methods We retrieved information of 1076 breast cancer patients from Genomic Data Commons (GDC) data portal on March 30, 2017, including breast cancer DNAm profiling, demographic features, clinicopathological parameters, recurrence, and all-cause fatality. Horvath’s method was applied to calculate the DNAm age. Cox proportional hazards regression models were used to test the associations between DNAm age of the cancerous tissues and the prognosis (recurrence of breast cancer and all-cause fatality) with or without adjusting for chronological age and clinicopathological parameters. Results The DNAm age was markedly decelerated in the patients who were premenopausal, ER or PR negative, HER2-enriched or basal-like than their counterparts. In the first five-year follow-up dataset for survival, every ten-year increase in DNAm age was associated with a 15% decrease in fatality; subjects with DNAm age in the second (HR: 0.52; 95%CI: 0.29–0.92), the third (HR: 0.49; 95%CI: 0.27–0.87) and the fourth quartile (HR: 0.38; 95%CI: 0.20–0.72) had significant longer survival time than those in the first quartile. In the first five-year follow-up dataset for recurrence, every ten-year increase in DNAm age was associated with a 14% decrease of the recurrence; in the categorical analysis, a clear dose-response was shown (P for trend =0.02) and the fourth quartile was associated with a longer recurrence free survival (HR: 0.32; 95%CI: 0.14–0.74). In the full follow-up dataset, similar results were obtained. Conclusions DNAm age of breast cancer tissue, which associated with menopausal status and pathological features, was a strong independent predictor of the prognosis. It was suggested that the prognosis of breast cancer was related to intrinsic biological changes and specific molecular targets for treatment of breast cancer may be implicit.
topic DNA methylation age
Breast cancer
Prognosis
url http://link.springer.com/article/10.1186/s12885-018-4884-6
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