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Koka H, Bodelon C, Horvath S, Lee PMY, Wang D, Song L, Zhang T, Hurson AN, Guida JL, Zhu B, Bailey-Whyte M, Wang F, Wu C, Tsang KH, Tsoi YK, Chan WC, Law SH, Hung RKW, Tse GM, Yuen KKW, Karlins E, Jones K, Vogt A, Zhu B, Hutchinson A, Hicks B, Garcia-Closas M, Chanock S, Barnholtz-Sloan J, Tse LA, Yang XR. DNA methylation age in paired tumor and adjacent normal breast tissue in Chinese women with breast cancer. Clin Epigenetics 2023; 15:55. [PMID: 36991516 PMCID: PMC10062015 DOI: 10.1186/s13148-023-01465-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2022] [Accepted: 03/13/2023] [Indexed: 03/31/2023] Open
Abstract
BACKGROUND Few studies have examined epigenetic age acceleration (AA), the difference between DNA methylation (DNAm) predicted age and chronological age, in relation to somatic genomic features in paired cancer and normal tissue, with less work done in non-European populations. In this study, we aimed to examine DNAm age and its associations with breast cancer risk factors, subtypes, somatic genomic profiles including mutation and copy number alterations and other aging markers in breast tissue of Chinese breast cancer (BC) patients from Hong Kong. METHODS We performed genome-wide DNA methylation profiling of 196 tumor and 188 paired adjacent normal tissue collected from Chinese BC patients in Hong Kong (HKBC) using Illumina MethylationEPIC array. The DNAm age was calculated using Horvath's pan-tissue clock model. Somatic genomic features were based on data from RNA sequencing (RNASeq), whole-exome sequencing (WES), and whole-genome sequencing (WGS). Pearson's correlation (r), Kruskal-Wallis test, and regression models were used to estimate associations of DNAm AA with somatic features and breast cancer risk factors. RESULTS DNAm age showed a stronger correlation with chronological age in normal (Pearson r = 0.78, P < 2.2e-16) than in tumor tissue (Pearson r = 0.31, P = 7.8e-06). Although overall DNAm age or AA did not vary significantly by tissue within the same individual, luminal A tumors exhibited increased DNAm AA (P = 0.004) while HER2-enriched/basal-like tumors exhibited markedly lower DNAm AA (P = < .0001) compared with paired normal tissue. Consistent with the subtype association, tumor DNAm AA was positively correlated with ESR1 (Pearson r = 0.39, P = 6.3e-06) and PGR (Pearson r = 0.36, P = 2.4e-05) gene expression. In line with this, we found that increasing DNAm AA was associated with higher body mass index (P = 0.039) and earlier age at menarche (P = 0.035), factors that are related to cumulative exposure to estrogen. In contrast, variables indicating extensive genomic instability, such as TP53 somatic mutations, high tumor mutation/copy number alteration burden, and homologous repair deficiency were associated with lower DNAm AA. CONCLUSIONS Our findings provide additional insights into the complexity of breast tissue aging that is associated with the interaction of hormonal, genomic, and epigenetic mechanisms in an East Asian population.
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Affiliation(s)
- Hela Koka
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, Bethesda, MD, USA
| | - Clara Bodelon
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, Bethesda, MD, USA
| | - Steve Horvath
- Department of Human Genetics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
- San Diego Institute of Science, Alto Labs, San Diego, CA, USA
| | - Priscilla Ming Yi Lee
- The Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong., Prince of Wales Hospital, Sha Tin, N.T., Hong Kong SAR, China
| | - Difei Wang
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, Bethesda, MD, USA
- Cancer Genomics Research Laboratory, Leidos Biomedical Research, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Lei Song
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, Bethesda, MD, USA
- Cancer Genomics Research Laboratory, Leidos Biomedical Research, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Tongwu Zhang
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, Bethesda, MD, USA
| | - Amber N Hurson
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, Bethesda, MD, USA
| | - Jennifer Lyn Guida
- Division of Cancer Control and Population Sciences, National Cancer Institute, NIH, DHHS, Bethesda, MD, USA
| | - Bin Zhu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, Bethesda, MD, USA
| | - Maeve Bailey-Whyte
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, Bethesda, MD, USA
- School of Medicine, University of Limerick, Limerick, Ireland
| | - Feng Wang
- The Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong., Prince of Wales Hospital, Sha Tin, N.T., Hong Kong SAR, China
| | - Cherry Wu
- Department of Pathology, North District Hospital, Hong Kong, China
| | - Koon Ho Tsang
- Department of Pathology, Yan Chai Hospital, Hong Kong, China
| | - Yee-Kei Tsoi
- Department of Surgery, North District Hospital, Hong Kong, China
| | - W C Chan
- Department of Surgery, North District Hospital, Hong Kong, China
| | - Sze Hong Law
- Department of Surgery, North District Hospital, Hong Kong, China
| | - Ray Ka Wai Hung
- Department of Surgery, North District Hospital, Hong Kong, China
| | - Gary M Tse
- Department of Anatomical and Cellular Pathology, The Chinese University of Hong Kong, Hong Kong, China
| | | | - Eric Karlins
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, Bethesda, MD, USA
- Cancer Genomics Research Laboratory, Leidos Biomedical Research, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Kristine Jones
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, Bethesda, MD, USA
- Cancer Genomics Research Laboratory, Leidos Biomedical Research, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Aurelie Vogt
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, Bethesda, MD, USA
- Cancer Genomics Research Laboratory, Leidos Biomedical Research, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Bin Zhu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, Bethesda, MD, USA
- Cancer Genomics Research Laboratory, Leidos Biomedical Research, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Amy Hutchinson
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, Bethesda, MD, USA
- Cancer Genomics Research Laboratory, Leidos Biomedical Research, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Belynda Hicks
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, Bethesda, MD, USA
- Cancer Genomics Research Laboratory, Leidos Biomedical Research, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Montserrat Garcia-Closas
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, Bethesda, MD, USA
| | - Stephen Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, Bethesda, MD, USA
| | - Jill Barnholtz-Sloan
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, Bethesda, MD, USA
- Center for Biomedical Informatics and Information Technology, National Cancer Institute, NIH, DHHS, Bethesda, MD, USA
| | - Lap Ah Tse
- The Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong., Prince of Wales Hospital, Sha Tin, N.T., Hong Kong SAR, China.
| | - Xiaohong R Yang
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, Bethesda, MD, USA.
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Lee PMY, Kwok CH, Tsoi YK, Wu C, Law SH, Tsang KH, Yeung YC, Chan WC, Tse GM, Yuen KKW, Hung RKW, Wang F, Tse LA. Associations between Preserved foods and Breast Cancer Risk in Hong Kong Chinese Women. Cancer Prev Res (Phila) 2022; 15:497-507. [PMID: 35504011 DOI: 10.1158/1940-6207.capr-21-0509] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2021] [Revised: 02/21/2022] [Accepted: 04/29/2022] [Indexed: 11/16/2022]
Abstract
Preserved food such as cured foods may contain nitrate and nitrite that may contribute to the breast cancer development. Evidence on the associations between these preserved food intakes and risk of breast cancer is sparse. This study aimed to examine the associations between preserved foods (i.e. cured meat, pickled vegetables, canned meat, canned fruit/vegetables) and breast cancer risk in Hong Kong Chinese women. A total of 1307 breast cancer cases and 1050 age-matched controls were recruited from three hospitals during 11/2011-01/2018. We used a standardized questionnaire to collect information on dietary factors including preserved foods. Unconditional multiple logistic regression was performed to calculate the adjusted odds ratio(AOR) of breast cancer in relation to preserved food with adjustment of potential confounders. We further performed stratified analysis according to the breast cancer biology subtypes. We found that cured meat consumption was significantly associated with the risk of breast cancer [AOR=1.32, 95% confidence interval 95%CI)=1.06-1.64]. Compared to no cured meat consumption, cured meat intake {greater than or equal to} once per week was associated with an AOR of 2.66 (95%CI=1.38-5.35). Women with canned fruit/vegetable {greater than or equal to} consumption once per week had a higher risk of breast cancer (OR=1.19, 95%CI=1.00-1.41), particularly for the HER2-positive subtypes, but it became borderline after adjustment of confounders. Our study reveals a positive association between consumption of cured meat and breast cancer risk in Chinese population. Cured meat intake might be a potential novel risk factor for breast cancer but this would have to be confirmed by large prospective cohort studies.
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Affiliation(s)
| | - Chi-Hei Kwok
- Princess Margaret Hospital, Hong Kong, Hong Kong
| | - Yee-Kei Tsoi
- North District Hospital, Hong Kong, Hong Kong, China
| | | | | | | | | | - W C Chan
- Chinese University of Hong Kong, Hong Kong, Hong Kong
| | - Gary M Tse
- Chinese University of Hong Kong, Hong Kong, Hong Kong Special Administrative Region, China
| | | | | | - Feng Wang
- Chinese University of Hong Kong, Sha Tin, Hong Kong
| | - Lap Ah Tse
- Chinese University of Hong Kong, Hong Kong, Hong Kong
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