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Yusipov I, Kalyakulina A, Trukhanov A, Franceschi C, Ivanchenko M. Map of epigenetic age acceleration: A worldwide analysis. Ageing Res Rev 2024; 100:102418. [PMID: 39002646 DOI: 10.1016/j.arr.2024.102418] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2024] [Revised: 07/03/2024] [Accepted: 07/08/2024] [Indexed: 07/15/2024]
Abstract
We present a systematic analysis of epigenetic age acceleration based on by far the largest collection of publicly available DNA methylation data for healthy samples (93 datasets, 23 K samples), focusing on the geographic (25 countries) and ethnic (31 ethnicities) aspects around the world. We employed the most popular epigenetic tools for assessing age acceleration and examined their quality metrics and ability to extrapolate to epigenetic data from different tissue types and age ranges different from the training data of these models. In most cases, the models proved to be inconsistent with each other and showed different signs of age acceleration, with the PhenoAge model tending to systematically underestimate and different versions of the GrimAge model tending to systematically overestimate the age prediction of healthy subjects. Referring to data availability and consistency, most countries and populations are still not represented in GEO, moreover, different datasets use different criteria for determining healthy controls. Because of this, it is difficult to fully isolate the contribution of "geography/environment", "ethnicity" and "healthiness" to epigenetic age acceleration. Among the explored metrics, only the DunedinPACE, which measures aging rate, appears to adequately reflect the standard of living and socioeconomic indicators in countries, although it has a limited application to blood methylation data only. Invariably, by epigenetic age acceleration, males age faster than females in most of the studied countries and populations.
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Affiliation(s)
- Igor Yusipov
- Artificial Intelligence Research Center, Institute of Information Technologies, Mathematics and Mechanics, Lobachevsky State University, Nizhny Novgorod 603022, Russia; Institute of Biogerontology, Lobachevsky State University, Nizhny Novgorod 603022, Russia.
| | - Alena Kalyakulina
- Artificial Intelligence Research Center, Institute of Information Technologies, Mathematics and Mechanics, Lobachevsky State University, Nizhny Novgorod 603022, Russia; Institute of Biogerontology, Lobachevsky State University, Nizhny Novgorod 603022, Russia.
| | - Arseniy Trukhanov
- Mriya Life Institute, National Academy of Active Longevity, Moscow 124489, Russia.
| | - Claudio Franceschi
- Institute of Biogerontology, Lobachevsky State University, Nizhny Novgorod 603022, Russia.
| | - Mikhail Ivanchenko
- Artificial Intelligence Research Center, Institute of Information Technologies, Mathematics and Mechanics, Lobachevsky State University, Nizhny Novgorod 603022, Russia; Institute of Biogerontology, Lobachevsky State University, Nizhny Novgorod 603022, Russia.
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Creasey N, Leijten P, Overbeek G, Tollenaar MS. Incredible years parenting program buffers prospective association between parent-reported harsh parenting and epigenetic age deceleration in children with externalizing behavior. Psychoneuroendocrinology 2024; 165:107043. [PMID: 38593711 DOI: 10.1016/j.psyneuen.2024.107043] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/26/2023] [Revised: 04/04/2024] [Accepted: 04/04/2024] [Indexed: 04/11/2024]
Abstract
Harsh parenting has been shown to increase the risk of physical and mental health problems in later life. To improve our understanding of these risks and how they can be mitigated, we investigated associations of harsh parenting with a clinically relevant biomarker, epigenetic age deviation (EAD), using data from a randomized-control trial of the Incredible Years (IY) parenting program. This study included 281 children aged 4-8 years who were screened for heightened externalizing behavior and whose parents were randomly allocated to either IY or care-as-usual (CAU). Parents reported on their own parenting practices and their child's externalizing behavior at baseline and at a follow-up assessment approximately three years later. Epigenetic age, based on the Pediatric Buccal Epigenetic (PedBE) clock, was estimated from child DNA methylation derived from saliva collected at the follow-up assessment. PedBE clock estimates were regressed on chronological age as a measure of EAD. Moderation analyses using multiple regression revealed that harsher parenting at baseline predicted epigenetic age deceleration in children that received CAU (b = -.21, 95% CI[-0.37, -0.05]), but no association was found in children whose parents were allocated to IY (b = -.02, 95% CI [-0.13, 0.19]). These results highlight a prospective association between harsh parenting and children's EAD and indicate a potential ameliorating effect of preventive intervention. Future work is needed to replicate these findings and understand individual differences in children's responses to harsh parenting in relation to epigenetic aging.
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Affiliation(s)
- Nicole Creasey
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus University Medical Center, Rotterdam, the Netherlands; The Generation R Study Group, Erasmus University Medical Center, Rotterdam, the Netherlands; Department of Clinical, Educational & Health Psychology, Division of Psychology & Language Sciences, Faculty of Brain Sciences, University College London, London, UK.
| | - Patty Leijten
- Research Institute of Child Development and Education, University of Amsterdam, Amsterdam, the Netherlands
| | - Geertjan Overbeek
- Research Institute of Child Development and Education, University of Amsterdam, Amsterdam, the Netherlands
| | - Marieke S Tollenaar
- Institute of Psychology & Leiden Institute for Brain and Cognition, Leiden University, the Netherlands
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3
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Yates J, Schaufelberger H, Steinacher R, Schär P, Truninger K, Boeva V. DNA-methylation variability in normal mucosa: a field cancerization marker in patients with adenomatous polyps. J Natl Cancer Inst 2024; 116:974-982. [PMID: 38273663 PMCID: PMC11160500 DOI: 10.1093/jnci/djae016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2023] [Revised: 12/13/2023] [Accepted: 01/12/2024] [Indexed: 01/27/2024] Open
Abstract
BACKGROUND The phenomenon of field cancerization reflects the transition of normal cells into those predisposed to cancer. Assessing the scope and intensity of this process in the colon may support risk prediction and colorectal cancer prevention. METHODS The Swiss Epigenetic Colorectal Cancer Study (SWEPIC) study, encompassing 1111 participants for DNA methylation analysis and a subset of 84 for RNA sequencing, was employed to detect field cancerization in individuals with adenomatous polyps (AP). Methylation variations were evaluated for their discriminative capability, including in external cohorts, genomic localization, clinical correlations, and associated RNA expression patterns. RESULTS Normal cecal tissue of individuals harboring an AP in the proximal colon manifested dysregulated DNA methylation compared to tissue from healthy individuals at 558 unique loci. Leveraging these adenoma-related differentially variable and methylated CpGs (aDVMCs), our classifier discerned between healthy and AP-adjacent tissues across SWEPIC datasets (cross-validated area under the receiver operating characteristic curve [ROC AUC] = 0.63-0.81), including within age-stratified cohorts. This discriminative capacity was validated in 3 external sets, differentiating healthy from cancer-adjacent tissue (ROC AUC = 0.82-0.88). Notably, aDVMC dysregulation correlated with polyp multiplicity. More than 50% of aDVMCs were significantly associated with age. These aDVMCs were enriched in active regions of the genome (P < .001), and associated genes exhibited altered expression in AP-adjacent tissues. CONCLUSIONS Our findings underscore the early onset of field cancerization in the right colon during the neoplastic transformation process. A more extensive validation of aDVMC dysregulation as a stratification tool could pave the way for enhanced surveillance approaches, especially given its linkage to adenoma emergence.
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Affiliation(s)
- Josephine Yates
- Department of Computer Science, Institute for Machine Learning, ETH Zürich, Zurich, Switzerland
- ETH AI Center, ETH Zürich, Zurich, Switzerland
- Swiss Institute for Bioinformatics (SIB), Lausanne, Switzerland
| | | | | | - Primo Schär
- Department of Biomedicine, University of Basel, Basel, Switzerland
| | - Kaspar Truninger
- Department of Biomedicine, University of Basel, Basel, Switzerland
- Department of Gastroenterology and Hepatology, University Hospital Zurich, Zurich, Switzerland
| | - Valentina Boeva
- Department of Computer Science, Institute for Machine Learning, ETH Zürich, Zurich, Switzerland
- ETH AI Center, ETH Zürich, Zurich, Switzerland
- Swiss Institute for Bioinformatics (SIB), Lausanne, Switzerland
- Cochin Institute, Inserm U1016, National Centre for Scientific Research (CNRS) UMR 8104, Paris Descartes University UMR-S1016, Paris, France
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4
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Jung SY, Yu H, Tan X, Pellegrini M. Novel DNA methylation-based epigenetic signatures in colorectal cancer from peripheral blood leukocytes. Am J Cancer Res 2024; 14:2253-2271. [PMID: 38859857 PMCID: PMC11162685 DOI: 10.62347/mxwj1398] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2024] [Accepted: 04/21/2024] [Indexed: 06/12/2024] Open
Abstract
Colorectal cancer (CRC) is a multifactorial disease characterized by accumulation of multiple genetic and epigenetic alterations, transforming colonic epithelial cells into adenocarcinomas. Alteration of DNA methylation (DNAm) is a promising biomarker for predicting cancer risk and prognosis, but its role in CRC tumorigenesis is inconclusive. Notably, few DNAm studies have used pre-diagnostic peripheral blood (PB) DNA, causing difficulty in postulating the underlying biologic mechanism of CRC initiation. We conducted epigenome-wide association (EWA) scans in postmenopausal women from Women's Health Initiative (WHI) with their pre-diagnostic DNAm in PB leukocytes (PBLs) to prospectively evaluate CRC development. Our site-specific DNAm analyses across the genome adjusted for DNAm-age, leukocyte heterogeneities, as well as body mass index, diabetes, and insulin resistance. We validated 20 top EWA-CpGs in 2 independent CRC tissue datasets. Also, we detected differentially methylated regions (DMRs) associated with CRC, further mapped to transcriptomic profile, and finally conducted a Gene Set Enrichment Analysis. We detected multiple novel CpGs validated across WHI and tissue datasets. In particular, 2 CpGs (B4GALNT4cg10321339, SV2Bcg18144285) had the strongest effect on CRC risk. Results from our DMR scans contained MIR663cg06007966, which was also validated in EWA analyses. Also, we detected 1 methylome region in PEG10 of Chr7 shared across datasets. Our findings reflect both novel and well-established epigenomic and transcriptomic sites in CRC, warranting further functional validations. Our study contributes to better understanding of the complex interrelated mechanisms on the methylome underlying CRC tumorigenesis and suggests novel preventive DNAm-targets in PBLs for detecting at-risk individuals for CRC development.
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Affiliation(s)
- Su Yon Jung
- Translational Sciences Section, School of Nursing, University of CaliforniaLos Angeles, CA 90095, USA
- Department of Epidemiology, Fielding School of Public Health, University of CaliforniaLos Angeles, CA 90095, USA
- Jonsson Comprehensive Cancer Center, University of CaliforniaLos Angeles, CA 90095, USA
| | - Herbert Yu
- Cancer Epidemiology Program, University of Hawaii Cancer CenterHonolulu, HI 96813, USA
| | - Xianglong Tan
- Department of Biological Chemistry, University of CaliforniaLos Angeles, CA 90095, USA
| | - Matteo Pellegrini
- Department of Molecular, Cell and Developmental Biology, Life Sciences Division, University of CaliforniaLos Angeles, CA 90095, USA
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Malyutina S, Chervova O, Maximov V, Nikitenko T, Ryabikov A, Voevoda M. Blood-Based Epigenetic Age Acceleration and Incident Colorectal Cancer Risk: Findings from a Population-Based Case-Control Study. Int J Mol Sci 2024; 25:4850. [PMID: 38732069 PMCID: PMC11084311 DOI: 10.3390/ijms25094850] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2024] [Revised: 04/26/2024] [Accepted: 04/26/2024] [Indexed: 05/13/2024] Open
Abstract
This study investigates the association between epigenetic age acceleration (EAA) derived from DNA methylation and the risk of incident colorectal cancer (CRC). We utilized data from a random population sample of 9,360 individuals (men and women, aged 45-69) from the HAPIEE Study who had been followed up for 16 years. A nested case-control design yielded 35 incident CRC cases and 354 matched controls. Six baseline epigenetic age (EA) measures (Horvath, Hannum, PhenoAge, Skin and Blood (SB), BLUP, and Elastic Net (EN)) were calculated along with their respective EAAs. After adjustment, the odds ratios (ORs) for CRC risk per decile increase in EAA ranged from 1.20 (95% CI: 1.04-1.39) to 1.44 (95% CI: 1.21-1.76) for the Horvath, Hannum, PhenoAge, and BLUP measures. Conversely, the SB and EN EAA measures showed borderline inverse associations with ORs of 0.86-0.87 (95% CI: 0.76-0.99). Tertile analysis reinforced a positive association between CRC risk and four EAA measures (Horvath, Hannum, PhenoAge, and BLUP) and a modest inverse relationship with EN EAA. Our findings from a prospective population-based-case-control study indicate a direct association between incident CRC and four markers of accelerated baseline epigenetic age. In contrast, two markers showed a negative association or no association. These results warrant further exploration in larger cohorts and may have implications for CRC risk assessment and prevention.
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Affiliation(s)
- Sofia Malyutina
- Research Institute of Internal and Preventive Medicine-Branch of Institute of Cytology and Genetics SB RAS, Novosibirsk 630089, Russia; (V.M.); (T.N.); (A.R.); (M.V.)
| | | | - Vladimir Maximov
- Research Institute of Internal and Preventive Medicine-Branch of Institute of Cytology and Genetics SB RAS, Novosibirsk 630089, Russia; (V.M.); (T.N.); (A.R.); (M.V.)
| | - Tatiana Nikitenko
- Research Institute of Internal and Preventive Medicine-Branch of Institute of Cytology and Genetics SB RAS, Novosibirsk 630089, Russia; (V.M.); (T.N.); (A.R.); (M.V.)
| | - Andrew Ryabikov
- Research Institute of Internal and Preventive Medicine-Branch of Institute of Cytology and Genetics SB RAS, Novosibirsk 630089, Russia; (V.M.); (T.N.); (A.R.); (M.V.)
| | - Mikhail Voevoda
- Research Institute of Internal and Preventive Medicine-Branch of Institute of Cytology and Genetics SB RAS, Novosibirsk 630089, Russia; (V.M.); (T.N.); (A.R.); (M.V.)
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Wang X, Luo Y, He S, Lu Y, Gong Y, Gao L, Mao S, Liu X, Jiang N, Pu Q, Du D, Shu Y, Hai S, Li S, Chen HN, Zhao Y, Xie D, Qi S, Lei P, Hu H, Xu H, Zhou ZG, Dong B, Zhang H, Zhang Y, Dai L. Age-, sex- and proximal-distal-resolved multi-omics identifies regulators of intestinal aging in non-human primates. NATURE AGING 2024; 4:414-433. [PMID: 38321225 PMCID: PMC10950786 DOI: 10.1038/s43587-024-00572-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/03/2023] [Accepted: 01/08/2024] [Indexed: 02/08/2024]
Abstract
The incidence of intestinal diseases increases with age, yet the mechanisms governing gut aging and its link to diseases, such as colorectal cancer (CRC), remain elusive. In this study, while considering age, sex and proximal-distal variations, we used a multi-omics approach in non-human primates (Macaca fascicularis) to shed light on the heterogeneity of intestinal aging and identify potential regulators of gut aging. We explored the roles of several regulators, including those from tryptophan metabolism, in intestinal function and lifespan in Caenorhabditis elegans. Suggesting conservation of region specificity, tryptophan metabolism via the kynurenine and serotonin (5-HT) pathways varied between the proximal and distal colon, and, using a mouse colitis model, we observed that distal colitis was more sensitive to 5-HT treatment. Additionally, using proteomics analysis of human CRC samples, we identified links between gut aging and CRC, with high HPX levels predicting poor prognosis in older patients with CRC. Together, this work provides potential targets for preventing gut aging and associated diseases.
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Grants
- P40 OD010440 NIH HHS
- National Natural Science Foundation of China (National Science Foundation of China)
- National Key R&D Program of China,2022YFA1303200, 2018YFC2000305; The 135 Project of West China Hospital, ZYJC21005, ZYGD20010 and ZYYC23013.
- Natural Science Foundation of Sichuan Province,2023NSFSC1196
- Natural Science Foundation of Sichuan Province,2021YFS0134
- National Clinical Research Center for Geriatrics of West China Hospital, Z2021JC005
- The 135 Project of West China Hospital, ZYYC23025.
- National Key R&D Program of China, 2019YFA0110203;
- National Clinical Research Center for Geriatrics of West China Hospital, Z2021JC006;
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Affiliation(s)
- Xinyuan Wang
- National Clinical Research Center for Geriatrics, Center for Immunology and Hematology and General Practice Ward/International Medical Center Ward, General Practice Medical Center, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, China
- Advanced Mass Spectrometry Center, Research Core Facility, Frontiers Science Center for Disease-Related Molecular Network, West China Hospital, Sichuan University, Chengdu, China
| | - Yaru Luo
- National Clinical Research Center for Geriatrics, Center for Immunology and Hematology and General Practice Ward/International Medical Center Ward, General Practice Medical Center, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, China
| | - Siyu He
- National Clinical Research Center for Geriatrics, Center for Immunology and Hematology and General Practice Ward/International Medical Center Ward, General Practice Medical Center, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, China
| | - Ying Lu
- National Clinical Research Center for Geriatrics, Center for Immunology and Hematology and General Practice Ward/International Medical Center Ward, General Practice Medical Center, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, China
| | - Yanqiu Gong
- National Clinical Research Center for Geriatrics, Center for Immunology and Hematology and General Practice Ward/International Medical Center Ward, General Practice Medical Center, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, China
| | - Li Gao
- National Clinical Research Center for Geriatrics, Center for Immunology and Hematology and General Practice Ward/International Medical Center Ward, General Practice Medical Center, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, China
| | - Shengqiang Mao
- National Clinical Research Center for Geriatrics, Center for Immunology and Hematology and General Practice Ward/International Medical Center Ward, General Practice Medical Center, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, China
| | - Xiaohui Liu
- School of Life Sciences, Tsinghua University, Beijing, China
| | - Na Jiang
- Advanced Mass Spectrometry Center, Research Core Facility, Frontiers Science Center for Disease-Related Molecular Network, West China Hospital, Sichuan University, Chengdu, China
| | - Qianlun Pu
- Advanced Mass Spectrometry Center, Research Core Facility, Frontiers Science Center for Disease-Related Molecular Network, West China Hospital, Sichuan University, Chengdu, China
| | - Dan Du
- Advanced Mass Spectrometry Center, Research Core Facility, Frontiers Science Center for Disease-Related Molecular Network, West China Hospital, Sichuan University, Chengdu, China
| | - Yang Shu
- National Clinical Research Center for Geriatrics, Center for Immunology and Hematology and General Practice Ward/International Medical Center Ward, General Practice Medical Center, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, China
| | - Shan Hai
- National Clinical Research Center for Geriatrics, Center for Immunology and Hematology and General Practice Ward/International Medical Center Ward, General Practice Medical Center, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, China
| | - Shuangqing Li
- National Clinical Research Center for Geriatrics, Center for Immunology and Hematology and General Practice Ward/International Medical Center Ward, General Practice Medical Center, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, China
| | - Hai-Ning Chen
- Colorectal Cancer Center, Department of General Surgery, West China Hospital, Sichuan University, Chengdu, China
| | - Yi Zhao
- Department of Rheumatology and Immunology, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, China
| | - Dan Xie
- National Clinical Research Center for Geriatrics, Center for Immunology and Hematology and General Practice Ward/International Medical Center Ward, General Practice Medical Center, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, China
| | - Shiqian Qi
- National Clinical Research Center for Geriatrics, Center for Immunology and Hematology and General Practice Ward/International Medical Center Ward, General Practice Medical Center, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, China
| | - Peng Lei
- National Clinical Research Center for Geriatrics, Center for Immunology and Hematology and General Practice Ward/International Medical Center Ward, General Practice Medical Center, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, China
| | - Hongbo Hu
- National Clinical Research Center for Geriatrics, Center for Immunology and Hematology and General Practice Ward/International Medical Center Ward, General Practice Medical Center, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, China
| | - Heng Xu
- National Clinical Research Center for Geriatrics, Center for Immunology and Hematology and General Practice Ward/International Medical Center Ward, General Practice Medical Center, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, China
| | - Zong-Guang Zhou
- Colorectal Cancer Center, Department of General Surgery, West China Hospital, Sichuan University, Chengdu, China
| | - Biao Dong
- National Clinical Research Center for Geriatrics, Center for Immunology and Hematology and General Practice Ward/International Medical Center Ward, General Practice Medical Center, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, China.
| | - Huiyuan Zhang
- National Clinical Research Center for Geriatrics, Center for Immunology and Hematology and General Practice Ward/International Medical Center Ward, General Practice Medical Center, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, China.
| | - Yan Zhang
- National Clinical Research Center for Geriatrics, Center for Immunology and Hematology and General Practice Ward/International Medical Center Ward, General Practice Medical Center, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, China.
| | - Lunzhi Dai
- National Clinical Research Center for Geriatrics, Center for Immunology and Hematology and General Practice Ward/International Medical Center Ward, General Practice Medical Center, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, China.
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Zhang L, Mo S, Zhu X, Chou CJ, Jin B, Han Z, Schilling J, Liao W, Thyparambil S, Luo RY, Whitin JC, Tian L, Nagpal S, Ceresnak SR, Cohen HJ, McElhinney DB, Sylvester KG, Gong Y, Fu C, Ling XB, Peng J. Global metabolomics revealed deviations from the metabolic aging clock in colorectal cancer patients. Theranostics 2024; 14:1602-1614. [PMID: 38389840 PMCID: PMC10879879 DOI: 10.7150/thno.87303] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2023] [Accepted: 01/26/2024] [Indexed: 02/24/2024] Open
Abstract
Background: Markers of aging hold promise in the context of colorectal cancer (CRC) care. Utilizing high-resolution metabolomic profiling, we can unveil distinctive age-related patterns that have the potential to predict early CRC development. Our study aims to unearth a panel of aging markers and delve into the metabolomic alterations associated with aging and CRC. Methods: We assembled a serum cohort comprising 5,649 individuals, consisting of 3,002 healthy volunteers, 715 patients diagnosed with colorectal advanced precancerous lesions (APL), and 1,932 CRC patients, to perform a comprehensive metabolomic analysis. Results: We successfully identified unique age-associated patterns across 42 metabolic pathways. Moreover, we established a metabolic aging clock, comprising 9 key metabolites, using an elastic net regularized regression model that accurately estimates chronological age. Notably, we observed significant chronological disparities among the healthy population, APL patients, and CRC patients. By combining the analysis of circulative carcinoembryonic antigen levels with the categorization of individuals into the "hypo" metabolic aging subgroup, our blood test demonstrates the ability to detect APL and CRC with positive predictive values of 68.4% (64.3%, 72.2%) and 21.4% (17.8%, 25.9%), respectively. Conclusions: This innovative approach utilizing our metabolic aging clock holds significant promise for accurately assessing biological age and enhancing our capacity to detect APL and CRC.
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Affiliation(s)
- Long Zhang
- Department of Colorectal Surgery, Fudan University Shanghai Cancer Center; Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University; Shanghai, China
- Cancer Research Institute, Fudan University Shanghai Cancer Center; Shanghai, China
| | - Shaobo Mo
- Department of Colorectal Surgery, Fudan University Shanghai Cancer Center; Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University; Shanghai, China
| | | | - C. James Chou
- School of Medicine, Stanford University; Stanford, CA, USA
| | - Bo Jin
- mProbe Inc.; Rockville, MD, USA
| | - Zhi Han
- School of Medicine, Stanford University; Stanford, CA, USA
| | - James Schilling
- Shanghai Yunxiang Medical Technology Co., Ltd.; Shanghai, China
- Tianjin Yunjian Medical Technology Co. Ltd.; Tianjin, China
- Binhai Industrial Technology Research Institute, Zhejiang University; Tianjin, China
| | | | | | - Ruben Y. Luo
- School of Medicine, Stanford University; Stanford, CA, USA
| | - John C. Whitin
- School of Medicine, Stanford University; Stanford, CA, USA
| | - Lu Tian
- School of Medicine, Stanford University; Stanford, CA, USA
| | - Seema Nagpal
- School of Medicine, Stanford University; Stanford, CA, USA
| | | | | | | | | | - Yangming Gong
- Shanghai Municipal Center for Disease Control and Prevention; Shanghai, China
| | - Chen Fu
- Shanghai Municipal Center for Disease Control and Prevention; Shanghai, China
- Shanghai Clinical Research Center for Aging and Medicine; Shanghai, China
| | | | - Junjie Peng
- Department of Colorectal Surgery, Fudan University Shanghai Cancer Center; Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University; Shanghai, China
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8
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Ye J, Zhang J, Ding W. DNA methylation modulates epigenetic regulation in colorectal cancer diagnosis, prognosis and precision medicine. EXPLORATION OF TARGETED ANTI-TUMOR THERAPY 2024; 5:34-53. [PMID: 38464391 PMCID: PMC10918240 DOI: 10.37349/etat.2024.00203] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Accepted: 12/11/2023] [Indexed: 03/12/2024] Open
Abstract
Colorectal cancer (CRC) is a multifaceted disease influenced by the interplay of genetic and environmental factors. The clinical heterogeneity of CRC cannot be attributed exclusively to genetic diversity and environmental exposures, and epigenetic markers, especially DNA methylation, play a critical role as key molecular markers of cancer. This review compiles a comprehensive body of evidence underscoring the significant involvement of DNA methylation modifications in the pathogenesis of CRC. Moreover, this review explores the potential utility of DNA methylation in cancer diagnosis, prognostics, assessment of disease activity, and prediction of drug responses. Recognizing the impact of DNA methylation will enhance the ability to identify distinct CRC subtypes, paving the way for personalized treatment strategies and advancing precision medicine in the management of CRC.
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Affiliation(s)
- Jingxin Ye
- Department of Laboratory Medicine, Affiliated Hospital of Nantong University, Nantong 226001, Jiangsu Province, China
- Department of Gastroenterology, Affiliated Hospital of Nantong University, Nantong 226001, Jiangsu Province, China
- Department of Gastroenterology, The Affiliated Suqian Hospital of Xuzhou Medical University, Suqian 223800, Jiangsu Province, China
| | - Jianfeng Zhang
- Department of Gastroenterology, Affiliated Hospital of Nantong University, Nantong 226001, Jiangsu Province, China
| | - Weifeng Ding
- Department of Laboratory Medicine, Affiliated Hospital of Nantong University, Nantong 226001, Jiangsu Province, China
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9
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Hu X, Hu Z, Zhang H, Zhang N, Feng H, Jia X, Zhang C, Cheng Q. Deciphering the tumor-suppressive role of PSMB9 in melanoma through multi-omics and single-cell transcriptome analyses. Cancer Lett 2024; 581:216466. [PMID: 37944578 DOI: 10.1016/j.canlet.2023.216466] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2023] [Revised: 10/14/2023] [Accepted: 10/24/2023] [Indexed: 11/12/2023]
Abstract
Skin cutaneous melanoma (SKCM) poses a significant challenge in skin cancers. Recent immunotherapy breakthroughs have revolutionized melanoma treamtment, yet tumor heterogeneity persists as an obstacle. Epigenetic modifications orchestrated by DNA methylation contributed to tumorigenesis, thus potentially unveiling melanoma prognosis. Here, we identified an interferon-gamma (IFN-g) sensitive subtype, which possesses favorable outcomes, robust infiltration CD8+T cells, and IFN-g score in bulk RNA-seq profile. Subsequently, we established an IFN-g sensitivity signature based on machine learning. We validated that PSMB9 is strongly correlated with immunotherapy response in both methylation and expression cohorts in this 10-probe signature. We assumed that PSMB9 acts as a putative melanoma suppressor, for its activation of CD8+T cell; capacity to modulate IFN-γ secretion; and dynamics altering IFN-g receptors in bulk tissue. We performed single-cell RNA-seq on immunotherapy patients' tissue to uncover the nuanced role of PSMB9 in activating CD8T + cells, enhancing IFN-g, and influencing malignant cells receptors and transcriptional factors. Overexpress PSMB9 in two SKCM cell lines to mimic the hypomethylated state to approve our conjecture. Strong cell proliferation and migration inhibition were detected on both cells, indicating that PSMB9 is present in tumor cells and that high expression is detrimental to tumor growth and migration. Overall, comprehensive integrated analysis shows that PSMB9 emerges as a vital prognostic marker, acting predictive potential regarding immunotherapy in melanoma. This evidence not only reveals the multifaceted impact of PSMB9 on both malignant and immune cells but also serves as a prospective target for undergoing immunotherapeutic strategies in the future.
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Affiliation(s)
- Xing Hu
- Department of Dermatology, Hunan Provincial People's Hospital (The First Affiliated Hospital of Hunan Normal University), Changsha, Hunan, 410000, China
| | - Zhengang Hu
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, China
| | - Hao Zhang
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, China; Department of Neurosurgery, The Second Affiliated Hospital, Chongqing Medical University, Chongqing, Chongqing, 400016, China
| | - Nan Zhang
- Department of Neurosurgery, The Second Affiliated Hospital, Chongqing Medical University, Chongqing, Chongqing, 400016, China; College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, China
| | - Hao Feng
- Department of Dermatology, Hunan Provincial People's Hospital (The First Affiliated Hospital of Hunan Normal University), Changsha, Hunan, 410000, China
| | - Xiaomin Jia
- Department of Pathology, Lhasa People's Hospital, Lhasa, Tibet Autonomous Region, 850001, China
| | - Chi Zhang
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, China; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, 410008, China.
| | - Quan Cheng
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, China; National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, 410008, China.
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10
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Aslanov H, Bayramov B, Reissfelder C, Abdullayeva S, Mammadova Z, Aliyev F, Keese M, Hajibabazade J, Yagublu V. MTHFR Gene C677T Polymorphism (rs1801133) and Susceptibility to Colorectal Polyps in an Azerbaijani Population. J Clin Med 2023; 13:219. [PMID: 38202226 PMCID: PMC10779477 DOI: 10.3390/jcm13010219] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2023] [Revised: 12/26/2023] [Accepted: 12/27/2023] [Indexed: 01/12/2024] Open
Abstract
BACKGROUND Understanding the relationships between the methylenetetrahydrofolate reductase (MTHFR) gene polymorphism, colorectal polyps, and CRC risk can aid in advancing personalized medicine approaches in CRC prevention. The aim of the current study is to identify the association of C677T polymorphism of the MTHFR gene with the risk of colorectal polyps in the Azerbaijani population. METHODS This study included 125 patients with colon polyps and 155 healthy individuals as a control group. DNA was extracted from venous blood samples obtained from patients and healthy individuals, and the results were analyzed through polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) and agarose gel electrophoresis. RESULTS Wild-type, heterozygote, and homozygous mutant were revealed within 69 (55.2%), 49 (39.2%), and 7 (5.6%) patients and within 100 (64.5%), 45 (29%), and 10 (6.5%) healthy controls, respectively. However, no significant statistical associations were observed between CT and TT genotypes, dominant (CC vs. CT + TT) and recessive (CC + CT vs. TT) models, and the mutant T allele and disease risk. There were also no significant differences between patients and controls regarding age, sex, smoking and alcohol use. CONCLUSION Our research did not reveal any significant association between the MTHFR C677T polymorphism and susceptibility to colorectal polyps in the Azerbaijan population.
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Affiliation(s)
- Hazi Aslanov
- Department of Surgery, Scientific Center of Surgery after academician M.A.Topchubashov, Baku AZ1122, Azerbaijan;
| | - Bayram Bayramov
- Laboratory of Human Genetics, Genetic Resources Institute of Ministry of Science and Education, Baku AZ1106, Azerbaijan; (B.B.); (Z.M.)
- Department of Natural Sciences, Western Caspian University, Baku AZ1001, Azerbaijan
| | - Christoph Reissfelder
- Department of Surgery, Universitätsmedizin Mannheim, Medical Faculty Mannheim, Heidelberg University, 68167 Mannheim, Germany;
| | - Shams Abdullayeva
- Department of Neurology, Westpfalz-Klinikum, 67655 Kaiserslautern, Germany;
| | - Zeynab Mammadova
- Laboratory of Human Genetics, Genetic Resources Institute of Ministry of Science and Education, Baku AZ1106, Azerbaijan; (B.B.); (Z.M.)
| | - Fikrat Aliyev
- Department of Pathomorphology, Scientific Center of Surgery after academician M.A.Topchubashov, Baku AZ1122, Azerbaijan;
| | - Michael Keese
- Department of Vascular Surgery, Theresienkrankenhaus, 68165 Mannheim, Germany;
| | - Javahir Hajibabazade
- Carver College of Medicine, University of Iowa, Bowen Science Building, 51 Newton, Road, Iowa City, IA 52242-1009, USA
| | - Vugar Yagublu
- Department of Surgery, Universitätsmedizin Mannheim, Medical Faculty Mannheim, Heidelberg University, 68167 Mannheim, Germany;
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11
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Widayati TA, Schneider J, Panteleeva K, Chernysheva E, Hrbkova N, Beck S, Voloshin V, Chervova O. Open access-enabled evaluation of epigenetic age acceleration in colorectal cancer and development of a classifier with diagnostic potential. Front Genet 2023; 14:1258648. [PMID: 37953923 PMCID: PMC10634722 DOI: 10.3389/fgene.2023.1258648] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2023] [Accepted: 10/11/2023] [Indexed: 11/14/2023] Open
Abstract
Aberrant DNA methylation (DNAm) is known to be associated with the aetiology of cancer, including colorectal cancer (CRC). In the past, the availability of open access data has been the main driver of innovative method development and research training. However, this is increasingly being eroded by the move to controlled access, particularly of medical data, including cancer DNAm data. To rejuvenate this valuable tradition, we leveraged DNAm data from 1,845 samples (535 CRC tumours, 522 normal colon tissues adjacent to tumours, 72 colorectal adenomas, and 716 normal colon tissues from healthy individuals) from 14 open access studies deposited in NCBI GEO and ArrayExpress. We calculated each sample's epigenetic age (EA) using eleven epigenetic clock models and derived the corresponding epigenetic age acceleration (EAA). For EA, we observed that most first- and second-generation epigenetic clocks reflect the chronological age in normal tissues adjacent to tumours and healthy individuals [e.g., Horvath (r = 0.77 and 0.79), Zhang elastic net (EN) (r = 0.70 and 0.73)] unlike the epigenetic mitotic clocks (EpiTOC, HypoClock, MiAge) (r < 0.3). For EAA, we used PhenoAge, Wu, and the above mitotic clocks and found them to have distinct distributions in different tissue types, particularly between normal colon tissues adjacent to tumours and cancerous tumours, as well as between normal colon tissues adjacent to tumours and normal colon tissue from healthy individuals. Finally, we harnessed these associations to develop a classifier using elastic net regression (with lasso and ridge regularisations) that predicts CRC diagnosis based on a patient's sex and EAAs calculated from histologically normal controls (i.e., normal colon tissues adjacent to tumours and normal colon tissue from healthy individuals). The classifier demonstrated good diagnostic potential with ROC-AUC = 0.886, which suggests that an EAA-based classifier trained on relevant data could become a tool to support diagnostic/prognostic decisions in CRC for clinical professionals. Our study also reemphasises the importance of open access clinical data for method development and training of young scientists. Obtaining the required approvals for controlled access data would not have been possible in the timeframe of this study.
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Affiliation(s)
- Tyas Arum Widayati
- Medical Genomics Lab, Cancer Institute, University College London, London, United Kingdom
| | - Jadesada Schneider
- Medical Genomics Lab, Cancer Institute, University College London, London, United Kingdom
- Department of Genetics, Evolution and Environment, University College London, London, United Kingdom
| | - Kseniia Panteleeva
- School of Clinical Medicine, University of Cambridge, Cambridge, United Kingdom
| | - Elizabeth Chernysheva
- Department of Pathology and Biomedical Science, University of Otago, Christchurch, New Zealand
| | - Natalie Hrbkova
- Medical Genomics Lab, Cancer Institute, University College London, London, United Kingdom
| | - Stephan Beck
- Medical Genomics Lab, Cancer Institute, University College London, London, United Kingdom
| | - Vitaly Voloshin
- School of Biological and Behavioural Sciences, Queen Mary University of London, London, United Kingdom
| | - Olga Chervova
- Medical Genomics Lab, Cancer Institute, University College London, London, United Kingdom
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12
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Yu M, Carter KT, Baker KK, Redman MW, Wang T, Vickers K, Li CI, Cohen SA, Krane M, Ose J, Gigic B, Figueiredo JC, Toriola AT, Siegel EM, Shibata D, Schneider M, Ulrich CM, Dzubinski LA, Schoen RE, Grady WM. Elevated EVL Methylation Level in the Normal Colon Mucosa Is a Potential Risk Biomarker for Developing Recurrent Adenomas. Cancer Epidemiol Biomarkers Prev 2023; 32:1146-1152. [PMID: 37294695 PMCID: PMC10529338 DOI: 10.1158/1055-9965.epi-22-1020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2022] [Revised: 04/11/2023] [Accepted: 06/07/2023] [Indexed: 06/11/2023] Open
Abstract
BACKGROUND Individuals with adenomatous colorectal polyps undergo repeated colonoscopy surveillance to identify and remove metachronous adenomas. However, many patients with adenomas do not develop recurrent adenomas. Better methods to evaluate who benefits from increased surveillance are needed. We evaluated the use of altered EVL methylation as a potential biomarker for risk of recurrent adenomas. METHODS Patients with ≥1 colonoscopy had EVL methylation (mEVL) measured with an ultra-accurate methylation-specific droplet digital PCR assay on normal colon mucosa. The association between EVL methylation levels and adenoma or colorectal cancer was evaluated using three case/control definitions in three models: unadjusted (model 1), adjusting for baseline characteristics (model 2), and an adjusted model excluding patients with colorectal cancer at baseline (model 3). RESULTS Between 2001 and 2020, 136 patients were included; 74 healthy patients and 62 patients with a history of colorectal cancer. Older age, never smoking, and baseline colorectal cancer were associated with higher levels of mEVL (P ≤ 0.05). Each log base 10 difference in mEVL was associated with an increased risk of adenoma(s) or cancer at/after baseline for model 1 [OR, 2.64; 95% confidence interval (CI), 1.09-6.36], and adenoma(s) or cancer after baseline for models 1 (OR, 2.01; 95% CI, 1.04-3.90) and model 2 (OR, 3.17; 95% CI, 1.30-7.72). CONCLUSIONS Our results suggest that EVL methylation level detected in the normal colon mucosa has the potential to be a biomarker for monitoring the risk for recurrent adenomas. IMPACT These findings support the potential utility of EVL methylation for improving the accuracy for assigning risk for recurrent colorectal adenomas and cancer.
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Affiliation(s)
- Ming Yu
- Clinical Research Division, Fred Hutchinson Cancer Center, Seattle, WA
| | - Kelly T Carter
- Clinical Research Division, Fred Hutchinson Cancer Center, Seattle, WA
| | - Kelsey K Baker
- Clinical Research Division, Fred Hutchinson Cancer Center, Seattle, WA
| | - Mary W. Redman
- Clinical Research Division, Fred Hutchinson Cancer Center, Seattle, WA
| | - Ting Wang
- Clinical Research Division, Fred Hutchinson Cancer Center, Seattle, WA
| | - Kathy Vickers
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA
| | - Christopher I. Li
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA
- Department of Medicine, University of Washington School of Medicine, Seattle, WA
| | - Stacey A. Cohen
- Clinical Research Division, Fred Hutchinson Cancer Center, Seattle, WA
- Department of Medicine, University of Washington School of Medicine, Seattle, WA
| | - Mukta Krane
- Department of Medicine, University of Washington School of Medicine, Seattle, WA
| | - Jennifer Ose
- University of Utah, Salt Lake City, UT
- Huntsman Cancer Institute, Salt Lake City, UT
| | | | - Jane C Figueiredo
- Department of Medicine, Samuel Oschin Comprehensive Cancer Center, Cedars-Sinai Medical Center, Los Angeles, CA
| | | | - Erin M Siegel
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL
| | - David Shibata
- University of Tennessee Health Science Center, Memphis, TN
| | | | - Cornelia M. Ulrich
- University of Utah, Salt Lake City, UT
- Huntsman Cancer Institute, Salt Lake City, UT
| | - Lynda Ann Dzubinski
- Department of Medicine and Epidemiology, University of Pittsburgh Medical Center, Pittsburgh, PA
| | - Robert E Schoen
- Department of Medicine and Epidemiology, University of Pittsburgh Medical Center, Pittsburgh, PA
| | - William M. Grady
- Clinical Research Division, Fred Hutchinson Cancer Center, Seattle, WA
- Department of Medicine, University of Washington School of Medicine, Seattle, WA
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13
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Bafei SEC, Shen C. Biomarkers selection and mathematical modeling in biological age estimation. NPJ AGING 2023; 9:13. [PMID: 37393295 DOI: 10.1038/s41514-023-00110-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/20/2022] [Accepted: 05/08/2023] [Indexed: 07/03/2023]
Abstract
Biological age (BA) is important for clinical monitoring and preventing aging-related disorders and disabilities. Clinical and/or cellular biomarkers are measured and integrated in years using mathematical models to display an individual's BA. To date, there is not yet a single or set of biomarker(s) and technique(s) that is validated as providing the BA that reflects the best real aging status of individuals. Herein, a comprehensive overview of aging biomarkers is provided and the potential of genetic variations as proxy indicators of the aging state is highlighted. A comprehensive overview of BA estimation methods is also provided as well as a discussion of their performances, advantages, limitations, and potential approaches to overcome these limitations.
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Affiliation(s)
- Solim Essomandan Clémence Bafei
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, Jiangsu, China
| | - Chong Shen
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, Jiangsu, China.
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14
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Chu Y, Yao Y, Hu Q, Song Q. Riskscore Model Based on Oxidative Stress-Related Genes May Facilitate the Prognosis Evaluation for Patients With Colon Cancer. Clin Transl Gastroenterol 2023; 14:e00582. [PMID: 36927989 PMCID: PMC10299772 DOI: 10.14309/ctg.0000000000000582] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/29/2022] [Accepted: 02/15/2023] [Indexed: 03/18/2023] Open
Abstract
INTRODUCTION This study aims to identify the oxidative stress-related genes (OSRGs) with prognostic value and develop a riskscore model for prognosis evaluation in colon cancer. METHODS The transcriptome data and corresponding clinical information about colon cancer were extracted from The Cancer Genome Atlas database. Differentially expressed OSRGs and transcription factors (TFs) were identified between the normal and tumor samples. A riskscore model was established with OSRGs filtered from Cox regression analysis. This riskscore model was appraised by Kaplan-Meier plot, receiver operating characteristic curve, and Cox regression analysis. The clinical relevance of riskscore and its association with immune cell infiltration were also evaluated. RESULTS A total of 307 differentially expressed OSRGs and 64 differential TFs were identified. A TF-OSRG regulatory network was constructed in Cytoscape software. A riskscore model was established based on 17 OSRGs with independent prognostic value. This riskscore model could separate the patients into low-risk and high-risk groups. It also had good predictive ability, with an area under the curve = 0.8. In multivariate Cox regression analysis, age, T stage, and riskscore were identified as independent risk factors in colon cancer. Riskscore was significantly correlated with T stage, N stage, and immune cell infiltration. DISCUSSION We established a useful riskscore model with 17 OSRGs for prognosticating the overall survival in patients with colon cancer. This study provides a new insight into the clinical utility of OSRG-based riskscore model, which will hopefully facilitate the prognosis evaluation of patients with colon cancer.
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Affiliation(s)
- Yuxin Chu
- Cancer Center, Renmin Hospital of Wuhan University, Wuhan, China
| | - Yi Yao
- Cancer Center, Renmin Hospital of Wuhan University, Wuhan, China
| | - Qinyong Hu
- Cancer Center, Renmin Hospital of Wuhan University, Wuhan, China
| | - Qibin Song
- Cancer Center, Renmin Hospital of Wuhan University, Wuhan, China
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15
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Rubio CA, Vieth M, Lang-Schwarz C. The frequency of dysplastic branching crypts in colorectal polypoid tubular adenomas. Int J Exp Pathol 2023; 104:100-106. [PMID: 36734673 PMCID: PMC10182366 DOI: 10.1111/iep.12466] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2022] [Revised: 12/08/2022] [Accepted: 01/03/2023] [Indexed: 02/04/2023] Open
Abstract
Dysplastic crypt branching (DCB) was recently found in ulcerative colitis-associated dysplasia. The aim was to assess the frequency and the branching phenotype of DCB in polypoid colorectal tubular adenomas (TA). A total of 3956 DCB were found in the 139 TA: 98% were in asymmetric branching (DCAB) and the remaining 2% in symmetric branching (DCSB). A linear correlation was found between DCB frequency and the increasing digital size in TA (p < .05). Using a digital ruler, adenomas were divided into small TA (<5 mm) and larger TA (≥5 mm). The difference between the frequency of DCB in small TA (n = 75) vs. larger TA (n = 64), was significant (p < .05). DCB frequency was not influenced by age, gender or TA localization. In the normal colorectal mucosa (≈2 m2 ), only occasional CSB is found and no CAB. And yet, multiple DCB (mean 16.7 DCB), mostly DCAB, was found in small TA, occupying <5 mm of the mucosal area. In larger TA, as many as 42.1 DCB (mean), mostly DCAB, occurred in merely 7.8 mm (mean) of the colon mucosa. Thus it is suggested that DCB is a standard histologic element of TA. The natural expansion of the adenomatous tissue in larger TA appears to be follow on from newly produced, mostly DCAB, by DCSB and by the accumulation of their dysplastic offspring's progenies. The findings strongly suggest that DCB is a central microstructure in the histological events unfolding in polypoid colorectal TA.
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Affiliation(s)
- Carlos A Rubio
- Department of Pathology, Karolinska Institute, University Hospital, Stockholm, Sweden
| | - Michael Vieth
- Institute of Pathology, Friedrich-Alexander-University Erlangen-Nuremberg, Bayreuth, Germany
| | - Corinna Lang-Schwarz
- Institute of Pathology, Friedrich-Alexander-University Erlangen-Nuremberg, Bayreuth, Germany
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16
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Devall MA, Sun X, Eaton S, Cooper GS, Willis JE, Weisenberger DJ, Casey G, Li L. A Race-Specific, DNA Methylation Analysis of Aging in Normal Rectum: Implications for the Biology of Aging and Its Relationship to Rectal Cancer. Cancers (Basel) 2022; 15:cancers15010045. [PMID: 36612042 PMCID: PMC9817986 DOI: 10.3390/cancers15010045] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2022] [Revised: 12/01/2022] [Accepted: 12/19/2022] [Indexed: 12/24/2022] Open
Abstract
Approximately 90% of colorectal cancer (CRC) develop over the age of 50, highlighting the important role of aging in CRC risk. African Americans (AAs) shoulder a greater CRC burden than European Americans (EA) and are more likely to develop CRC at a younger age. The effects of aging in AA and EA normal rectal tissue have yet to be defined. Here, we performed epigenome-wide DNA methylation analysis in the first, large-scale biracial cohort of normal rectum (n = 140 samples). We identified increased epigenetic age acceleration in EA than AA rectum (p = 3.91 × 10-4) using linear regression. We also identified differentially methylated regions (DMRs) associated with chronological aging in AA and EA, separately using DMRcate. Next, a consensus set of regions associated with cancer was identified through DMR analysis of two rectal cancer cohorts. The vast majority of AA DMRs were present in our analysis of aging in rectum of EA subjects, though rates of epigenetic drift were significantly greater in AA (p = 1.94 × 10-45). However, 3.66-fold more DMRs were associated with aging in rectum of EA subjects, many of which were also associated with rectal cancer. Our findings reveal a novel relationship between race, age, DNA methylation and rectal cancer risk that warrants further investigation.
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Affiliation(s)
- Matthew A. Devall
- Department of Family Medicine, University of Virginia, Charlottesville, VA 22903, USA
| | - Xiangqing Sun
- Department of Family Medicine, University of Virginia, Charlottesville, VA 22903, USA
| | - Stephen Eaton
- Department of Family Medicine, University of Virginia, Charlottesville, VA 22903, USA
| | - Gregory S. Cooper
- Department of Medicine, University Hospitals Cleveland Medical Center, Case Western Reserve University, Cleveland, OH 44106, USA
| | - Joseph E. Willis
- Department of Pathology, Case Western Reserve University/University Hospitals Cleveland Medical Center, Cleveland, OH 44106, USA
| | - Daniel J. Weisenberger
- Department of Biochemistry and Molecular Medicine, University of Southern California, Los Angeles, CA 90007, USA
| | - Graham Casey
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA 22908, USA
- University of Virginia Comprehensive Cancer Center, University of Virginia, Charlottesville, VA 22908, USA
| | - Li Li
- Department of Family Medicine, University of Virginia, Charlottesville, VA 22903, USA
- University of Virginia Comprehensive Cancer Center, University of Virginia, Charlottesville, VA 22908, USA
- Correspondence: ; Tel.: +1-434-982-3975
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17
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Cui J, Guo F, Yu Y, Ma Z, Hong Y, Su J, Ge Y. Development and validation of a prognostic 9-gene signature for colorectal cancer. Front Oncol 2022; 12:1009698. [DOI: 10.3389/fonc.2022.1009698] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2022] [Accepted: 11/01/2022] [Indexed: 11/19/2022] Open
Abstract
IntroductionColorectal cancer (CRC) is one of the most prevalent cancers globally with a high mortality rate. Predicting prognosis using disease progression and cancer pathologic stage is insufficient, and a prognostic factor that can accurately evaluate patient prognosis needs to be developed. In this study, we aimed to infer a prognostic gene signature to identify a functional signature associated with the prognosis of CRC patients.MethodsFirst, we used univariate Cox regression, least absolute shrinkage and selection operator (lasso) regression, and multivariate Cox regression analyses to screen genes significantly associated with CRC patient prognosis, from colorectal cancer RNA sequencing data in The Cancer Genome Atlas (TCGA) database. We then calculated the risk score (RS) for each patient based on the expression of the nine candidate genes and developed a prognostic signature.ResultsBased on the optimal cut-off on the receiver operating characteristic (ROC) curve, patients were separated into high- and low-risk groups, and the difference in overall survival between the two groups was examined. Patients in the low-risk group had a better overall survival rate than those in the high-risk group. The results were validated using the GSE72970, GSE39582, and GSE17536 Gene Expression Omnibus (GEO) datasets, and the same conclusions were reached. ROC curve test of the RS signature also indicated that it had excellent accuracy. The RS signature was then compared with traditional clinical factors as a prognostic indicator, and we discovered that the RS signature had superior predictive ability.ConclusionThe RS signature developed in this study has excellent predictive power for the prognosis of patients with CRC and broad applicability as a prognostic indicator for patients.
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18
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Rampersaud R, Protsenko E, Yang R, Reus V, Hammamieh R, Wu GWY, Epel E, Jett M, Gautam A, Mellon SH, Wolkowitz OM. Dimensions of childhood adversity differentially affect biological aging in major depression. Transl Psychiatry 2022; 12:431. [PMID: 36195591 PMCID: PMC9532396 DOI: 10.1038/s41398-022-02198-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/12/2022] [Revised: 09/11/2022] [Accepted: 09/21/2022] [Indexed: 11/08/2022] Open
Abstract
Adverse childhood experiences have been consistently linked with physical and mental health disorders in adulthood that may be mediated, in part, via the effects of such exposures on biological aging. Using recently developed "epigenetic clocks", which provide an estimate of biological age, several studies have demonstrated a link between the cumulative exposure to childhood adversities and accelerated epigenetic aging. However, not all childhood adversities are equivalent and less is known about how distinct dimensions of childhood adversity relate to epigenetic aging metrics. Using two measures of childhood adversity exposure, we assess how the dimensions of Maltreatment and Household Dysfunction relate to epigenetic aging using two "second-generation" clocks, GrimAge and PhenoAge, in a cohort of unmedicated somatically healthy adults with moderate to severe major depression (n = 82). Our results demonstrate that the dimension of Maltreatment is associated with epigenetic age acceleration (EAA) using the PhenoAge but not the GrimAge clock. This association was observed using both the Childhood Trauma questionnaire (CTQ; β = 0.272, p = 0.013) and the Adverse Childhood Experiences (ACEs) questionnaire (β = 0.307, p = 0.005) and remained significant when adjusting for exposure to the dimension of Household Dysfunction (β = 0.322, p = 0.009). In contrast, the dimension of Household Dysfunction is associated with epigenetic age deceleration (β = -0.194, p = 0.083) which achieved significance after adjusting for exposure to the dimension of Maltreatment (β = -0.304, p = 0.022). This study is the first to investigate these effects among individuals with Major Depressive Disorder and suggests that these dimensions of adversity may be associated with disease via distinct biological mechanisms.
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Affiliation(s)
- Ryan Rampersaud
- Weill Institute for Neurosciences and Department of Psychiatry and Behavioral Sciences, University of California San Francisco (UCSF) School of Medicine, San Francisco, CA, USA.
| | - Ekaterina Protsenko
- University of California San Francisco (UCSF) School of Medicine, San Francisco, CA, USA
| | - Ruoting Yang
- Medical Readiness Systems Biology, Center for Military Psychiatry and Neuroscience, Walter Reed Army Institute of Research, Silver Spring, MD, USA
| | - Victor Reus
- Weill Institute for Neurosciences and Department of Psychiatry and Behavioral Sciences, University of California San Francisco (UCSF) School of Medicine, San Francisco, CA, USA
| | - Rasha Hammamieh
- Medical Readiness Systems Biology, Center for Military Psychiatry and Neuroscience, Walter Reed Army Institute of Research, Silver Spring, MD, USA
| | - Gwyneth W Y Wu
- Weill Institute for Neurosciences and Department of Psychiatry and Behavioral Sciences, University of California San Francisco (UCSF) School of Medicine, San Francisco, CA, USA
| | - Elissa Epel
- Weill Institute for Neurosciences and Department of Psychiatry and Behavioral Sciences, University of California San Francisco (UCSF) School of Medicine, San Francisco, CA, USA
| | - Marti Jett
- Headquarters, Walter Reed Army Institute of Research, Silver Spring, MD, USA
| | - Aarti Gautam
- Medical Readiness Systems Biology, Center for Military Psychiatry and Neuroscience, Walter Reed Army Institute of Research, Silver Spring, MD, USA
| | - Synthia H Mellon
- Department of OB-GYN and Reproductive Sciences, UCSF School of Medicine, San Francisco, CA, USA
| | - Owen M Wolkowitz
- Weill Institute for Neurosciences and Department of Psychiatry and Behavioral Sciences, University of California San Francisco (UCSF) School of Medicine, San Francisco, CA, USA
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19
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Wang L, Shannar AAF, Wu R, Chou P, Sarwar MS, Kuo HC, Peter RM, Wang Y, Su X, Kong AN. Butyrate Drives Metabolic Rewiring and Epigenetic Reprogramming in Human Colon Cancer Cells. Mol Nutr Food Res 2022; 66:e2200028. [PMID: 35429118 DOI: 10.1002/mnfr.202200028] [Citation(s) in RCA: 29] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2022] [Revised: 03/23/2022] [Indexed: 12/16/2022]
Abstract
SCOPE Butyrate (B) is a short-chain fatty acid produced by dietary fiber, known to inhibit histone deacetylases (HDACs) and possess cancer-preventive/anticancer effects. However, the role of B in metabolic rewiring, epigenomic reprogramming, transcriptomic network, NRF2 signaling, and eliciting cancer-preventive effects in colorectal cancer (CRC) HCT116 cell remains unclear. METHODS AND RESULTS Sodium butyrate (NaB) dose-dependently inhibits the growth of CRC HCT116 cells. NaB inhibits NRF2/NRF2-target genes and blocks NRF2-ARE signaling. NaB increases NRF2 negative regulator KEAP1 expression through inhibiting its promoter methylation. Associative analysis of DEGs (differentially expressed genes) from RNA-seq and DMRs (differentially methylated regions) from CpG methyl-seq identified the tumor suppressor gene ABCA1 and tumor promote gene EGR3 are correlated with their promoters' CpG methylation indicating NaB regulates cancer markers through modulating their promoter methylation. NaB activated the mitochondrial tricarboxylic acid (TCA) cycle while inhibited the methionine metabolism which are both tightly coupled to the epigenetic machinery. NaB regulates the epigenetic enzymes/genes including DNMT1, HAT1, KDM1A, KDM1B, and TET1. Altogether, B's regulation of metabolites coupled to the epigenetic enzymes illustrates the potential underlying biological connectivity between metabolomics and epigenomics. CONCLUSION B regulates KEAP1/NRF2 signaling, drives metabolic rewiring, CpG methylomic, and transcriptomic reprogramming contributing to the overall cancer-prevention/anticancer effect in the CRC cell model.
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Affiliation(s)
- Lujing Wang
- Department of Pharmaceutics, Ernest Mario School of Pharmacy, Rutgers, The State University of New Jersey, Piscataway, NJ, 08854, USA.,Graduate Program of Pharmaceutical Sciences, Ernest Mario School of Pharmacy, Rutgers, The State University of New Jersey, New Brunswick, NJ, 08854, USA
| | - Ahmad Abdel Fat Shannar
- Department of Pharmaceutics, Ernest Mario School of Pharmacy, Rutgers, The State University of New Jersey, Piscataway, NJ, 08854, USA.,Graduate Program of Pharmaceutical Sciences, Ernest Mario School of Pharmacy, Rutgers, The State University of New Jersey, New Brunswick, NJ, 08854, USA
| | - Renyi Wu
- Department of Pharmaceutics, Ernest Mario School of Pharmacy, Rutgers, The State University of New Jersey, Piscataway, NJ, 08854, USA
| | - Pochung Chou
- Department of Pharmaceutics, Ernest Mario School of Pharmacy, Rutgers, The State University of New Jersey, Piscataway, NJ, 08854, USA.,Graduate Program of Pharmaceutical Sciences, Ernest Mario School of Pharmacy, Rutgers, The State University of New Jersey, New Brunswick, NJ, 08854, USA
| | - Md Shahid Sarwar
- Department of Pharmaceutics, Ernest Mario School of Pharmacy, Rutgers, The State University of New Jersey, Piscataway, NJ, 08854, USA
| | - Hsiao-Chen Kuo
- Department of Pharmaceutics, Ernest Mario School of Pharmacy, Rutgers, The State University of New Jersey, Piscataway, NJ, 08854, USA.,Graduate Program of Pharmaceutical Sciences, Ernest Mario School of Pharmacy, Rutgers, The State University of New Jersey, New Brunswick, NJ, 08854, USA
| | - Rebecca Mary Peter
- Department of Pharmaceutics, Ernest Mario School of Pharmacy, Rutgers, The State University of New Jersey, Piscataway, NJ, 08854, USA.,Graduate Program of Pharmaceutical Sciences, Ernest Mario School of Pharmacy, Rutgers, The State University of New Jersey, New Brunswick, NJ, 08854, USA
| | - Yujue Wang
- Metabolomics Shared Resource, Rutgers Cancer Institute of New Jersey, New Brunswick, NJ, 08903, USA.,Department of Medicine, Rutgers-Robert Wood Johnson Medical School, New Brunswick, NJ, 08903, USA
| | - Xiaoyang Su
- Metabolomics Shared Resource, Rutgers Cancer Institute of New Jersey, New Brunswick, NJ, 08903, USA.,Department of Medicine, Rutgers-Robert Wood Johnson Medical School, New Brunswick, NJ, 08903, USA
| | - Ah-Ng Kong
- Department of Pharmaceutics, Ernest Mario School of Pharmacy, Rutgers, The State University of New Jersey, Piscataway, NJ, 08854, USA
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20
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Cao X, Li W, Wang T, Ran D, Davalos V, Planas-Serra L, Pujol A, Esteller M, Wang X, Yu H. Accelerated biological aging in COVID-19 patients. Nat Commun 2022; 13:2135. [PMID: 35440567 PMCID: PMC9018863 DOI: 10.1038/s41467-022-29801-8] [Citation(s) in RCA: 82] [Impact Index Per Article: 41.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2021] [Accepted: 03/30/2022] [Indexed: 01/01/2023] Open
Abstract
Chronological age is a risk factor for SARS-CoV-2 infection and severe COVID-19. Previous findings indicate that epigenetic age could be altered in viral infection. However, the epigenetic aging in COVID-19 has not been well studied. In this study, DNA methylation of the blood samples from 232 healthy individuals and 413 COVID-19 patients is profiled using EPIC methylation array. Epigenetic ages of each individual are determined by applying epigenetic clocks and telomere length estimator to the methylation profile of the individual. Epigenetic age acceleration is calculated and compared between groups. We observe strong correlations between the epigenetic clocks and individual's chronological age (r > 0.8, p < 0.0001). We also find the increasing acceleration of epigenetic aging and telomere attrition in the sequential blood samples from healthy individuals and infected patients developing non-severe and severe COVID-19. In addition, the longitudinal DNA methylation profiling analysis find that the accumulation of epigenetic aging from COVID-19 syndrome could be partly reversed at late clinic phases in some patients. In conclusion, accelerated epigenetic aging is associated with the risk of SARS-CoV-2 infection and developing severe COVID-19. In addition, the accumulation of epigenetic aging from COVID-19 may contribute to the post-COVID-19 syndrome among survivors.
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Affiliation(s)
- Xue Cao
- Department of Oncology, Guizhou Provincial People's Hospital, Guiyang, Guizhou, China.,Guangdong Institute of Gastroenterology, Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Disease, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China.,Department of Colorectal Surgery, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Wenjuan Li
- Department of Pulmonary and Critical Care Medicine, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Ting Wang
- Research & Development, Thermo Fisher Scientific Inc., Los Angeles, CA, USA
| | - Dongzhi Ran
- Department of Pharmacology, College of Medicine, University of Arizona, Tucson, AZ, USA.,Key Laboratory of Biochemistry and Molecular Pharmacology, Department of Pharmacology, Chongqing Medical University, Chongqing, China
| | - Veronica Davalos
- Josep Carreras Leukaemia Research Institute (IJC), Barcelona, Catalonia, Spain
| | - Laura Planas-Serra
- Neurometabolic Diseases Laboratory, Bellvitge Biomedical Research Institute (IDIBELL), Barcelona, Catalonia, Spain.,Center for Biomedical Research on Rare Diseases (CIBERER), ISCIII, Madrid, Spain
| | - Aurora Pujol
- Neurometabolic Diseases Laboratory, Bellvitge Biomedical Research Institute (IDIBELL), Barcelona, Catalonia, Spain.,Center for Biomedical Research on Rare Diseases (CIBERER), ISCIII, Madrid, Spain.,Institucio Catalana de Recerca i Estudis Avancats (ICREA), Barcelona, Catalonia, Spain
| | - Manel Esteller
- Josep Carreras Leukaemia Research Institute (IJC), Barcelona, Catalonia, Spain.,Institucio Catalana de Recerca i Estudis Avancats (ICREA), Barcelona, Catalonia, Spain.,Centro de Investigación Biomédica en Red de Cancer (CIBERONC), Madrid, Spain.,Physiological Sciences Department, School of Medicine and Health Sciences, University of Barcelona (UB), Barcelona, Catalonia, Spain
| | - Xiaolin Wang
- Guangdong Institute of Gastroenterology, Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Disease, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Huichuan Yu
- Guangdong Institute of Gastroenterology, Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Disease, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China. .,Department of Colorectal Surgery, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China.
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21
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Matas J, Kohrn B, Fredrickson J, Carter K, Yu M, Wang T, Gui X, Soussi T, Moreno V, Grady WM, Peinado MA, Risques RA. Colorectal Cancer Is Associated with the Presence of Cancer Driver Mutations in Normal Colon. Cancer Res 2022; 82:1492-1502. [PMID: 35425963 PMCID: PMC9022358 DOI: 10.1158/0008-5472.can-21-3607] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2021] [Revised: 01/20/2022] [Accepted: 02/10/2022] [Indexed: 11/16/2022]
Abstract
Although somatic mutations in colorectal cancer are well characterized, little is known about the accumulation of cancer mutations in the normal colon before cancer. Here, we have developed and applied an ultrasensitive, single-molecule mutational test based on CRISPR-DS technology, which enables mutation detection at extremely low frequency (<0.001) in normal colon from patients with and without colorectal cancer. This testing platform revealed that normal colon from patients with and without colorectal cancer carries mutations in common colorectal cancer genes, but these mutations are more abundant in patients with cancer. Oncogenic KRAS mutations were observed in the normal colon of about one third of patients with colorectal cancer but in none of the patients without colorectal cancer. Patients with colorectal cancer also carried more TP53 mutations than patients without cancer and these mutations were more pathogenic and formed larger clones, especially in patients with early-onset colorectal cancer. Most mutations in the normal colon were different from the driver mutations in tumors, suggesting that the occurrence of independent clones with pathogenic KRAS and TP53 mutations is a common event in the colon of individuals who develop colorectal cancer. These results indicate that somatic evolution contributes to clonal expansions in the normal colon and that this process is enhanced in individuals with cancer, particularly in those with early-onset colorectal cancer. SIGNIFICANCE This work suggests prevalent somatic evolution in the normal colon of patients with colorectal cancer, highlighting the potential of using ultrasensitive gene sequencing to predict disease risk.
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Affiliation(s)
- Julia Matas
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, USA
- Institut Germans Trias i Pujol, Badalona, Spain
| | - Brendan Kohrn
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, USA
| | - Jeanne Fredrickson
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, USA
| | - Kelly Carter
- Fred Hutchinson Cancer Research Center, Seattle, USA
| | - Ming Yu
- Fred Hutchinson Cancer Research Center, Seattle, USA
| | - Ting Wang
- Fred Hutchinson Cancer Research Center, Seattle, USA
| | - Xianyong Gui
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, USA
| | - Thierry Soussi
- Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden
- Sorbonne Université, UPMC Univ Paris 06, F- 75005 Paris, France
- INSERM, U1138, Centre de Recherche des Cordeliers, Paris, France
| | - Victor Moreno
- Oncology Data Analytics Program, Catalan Institute of Oncology (ICO), Barcelona, Spain
- Colorectal Cancer Group, ONCOBELL Program, Institut de Recerca Biomedica de Bellvitge (IDIBELL), Barcelona, Spain
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Barcelona, Spain
- Department of Clinical Sciences, Faculty of Medicine, University of Barcelona, Barcelona, Spain
| | | | | | - Rosa Ana Risques
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, USA
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22
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Müller D, Győrffy B. DNA methylation-based diagnostic, prognostic, and predictive biomarkers in colorectal cancer. Biochim Biophys Acta Rev Cancer 2022; 1877:188722. [PMID: 35307512 DOI: 10.1016/j.bbcan.2022.188722] [Citation(s) in RCA: 50] [Impact Index Per Article: 25.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Revised: 02/21/2022] [Accepted: 03/13/2022] [Indexed: 12/12/2022]
Abstract
DNA methylation is an epigenetic mechanism regulating gene expression. Changes in DNA methylation were suggested to be useful biomarkers for diagnosis, and for the determination of prognosis and treatment response. Here, we provide an overview of methylation-based biomarkers in colorectal cancer. First, we start with the two methylation-based diagnostic biomarkers already approved for colorectal cancer, SEPT9 and the combination of NDRG4 and BMP3. Then, we provide a list-based overview of new biomarker candidates depending on the sample source including plasma, stool, urine, and surgically removed tumor tissues. The most often identified markers like SDC2, VIM, APC, MGMT, SFRP1, SFRP2, and NDRG4 have distinct functions previously linked to tumor progression. Although numerous studies have identified tumor-specific methylation changes, most of these alterations were observed in a single study only. The lack of validation in independent samples means low reproducibility and is a major limitation. The genome-wide determination of methylation status (methylome) can provide data to solve these issues. In the third section of the review, methylome studies focusing on different aspects related to CRC, including precancerous lesions, CRC-specific changes, molecular subtypes, aging, and chemotherapy response are summarized. Notably, techniques simultaneously analyzing a large set of regions can also uncover epigenetic regulation of genes which have not yet been associated with tumorigenesis previously. A remaining constraint of studies published to date is the low patient number utilized in these preventing the identification of clinically valuable biomarker candidates. Either future large-scale studies or the integration of already available methylome-level data will be necessary to uncover biomarkers sufficiently robust for clinical application.
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Affiliation(s)
- Dalma Müller
- Dept. of Bioinformatics, Semmelweis University, Budapest, Hungary; Cancer Biomarker Research Group, RCNS, Budapest, Hungary
| | - Balázs Győrffy
- Dept. of Bioinformatics, Semmelweis University, Budapest, Hungary; Cancer Biomarker Research Group, RCNS, Budapest, Hungary.
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23
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Su JQ, Lai PY, Hu PH, Hu JM, Chang PK, Chen CY, Wu JJ, Lin YJ, Sun CA, Yang T, Hsu CH, Lin HC, Chou YC. Differential DNA methylation analysis of SUMF2, ADAMTS5, and PXDN provides novel insights into colorectal cancer prognosis prediction in Taiwan. World J Gastroenterol 2022; 28:825-839. [PMID: 35317099 PMCID: PMC8900576 DOI: 10.3748/wjg.v28.i8.825] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/17/2021] [Revised: 12/24/2021] [Accepted: 01/22/2022] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Patients with colorectal cancer (CRC) undergo surgery, as well as perioperative chemoradiation or adjuvant chemotherapy primarily based on the tumor–node– metastasis (TNM) cancer staging system. However, treatment responses and prognostic outcomes of patients within the same stage vary markedly. The potential use of novel biomarkers can improve prognostication and shared decision making before implementation into certain therapies.
AIM To investigate whether SUMF2, ADAMTS5, and PXDN methylation status could be associated with CRC prognosis.
METHODS We conducted a Taiwan region cohort study involving 208 patients with CRC recruited from Tri-Service General Hospital and applied the candidate gene approach to identify three genes involved in oncogenesis pathways. A methylation-specific polymerase chain reaction (MS-PCR) and EpiTYPER DNA methylation analysis were employed to detect methylation status and to quantify the methylation level of candidate genes in tumor tissue and adjacent normal tissue from participants. We evaluated SUMF2, ADAMTS5, and PXDN methylation as predictors of prognosis, including recurrence-free survival (RFS), progression-free survival (PFS), and overall survival (OS), using a Cox regression model and Kaplan–Meier analysis.
RESULTS We revealed various outcomes related to methylation and prognosis. Significantly shorter PFS and OS were associated with the CpG_3+CpG_7 hypermethylation of SUMF2 from tumor tissue compared with CpG_3+CpG_7 hypomethylation [hazard ratio (HR) = 2.24, 95% confidence interval (CI) = 1.03-4.85 for PFS, HR = 2.56 and 95%CI = 1.08-6.04 for OS]. By contrast, a significantly longer RFS was associated with CpG_2 and CpG_13 hypermethylation of ADAMTS5 from normal tissue compared with CpG_2 and CpG_13 hypomethylation [HR (95%CI) = 0.15 (0.03-0.71) for CpG_2 and 0.20 (0.04-0.97) for CpG_13]. The relationship between the methylation status of PXDN and the prognosis of CRC did not reach statistical significance.
CONCLUSION Our study found that CpG_3+CpG_7 hypermethylation of SUMF2 from tumor tissue was associated with significantly shorter PFS and OS compared with CpG_3+CpG_7 hypomethylation. CpG_2 and CpG_13 hypermethylation of ADAMTS5 from normal tissue was associated with a significantly longer RFS compared with CpG_2 and CpG_13 hypomethylation. These methylation-related biomarkers which have implications for CRC prognosis prediction may aid physicians in clinical decision-making.
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Affiliation(s)
- Jing-Quan Su
- School of Medicine, National Defense Medical Center, Taipei 114, Taiwan
| | - Pin-Yu Lai
- School of Public Health, National Defense Medical Center, Taipei 114, Taiwan
| | - Pei-Hsuan Hu
- School of Public Health, National Defense Medical Center, Taipei 114, Taiwan
| | - Je-Ming Hu
- Division of Colorectal Surgery, Department of surgery, Tri-Service General Hospital, National Defense Medical Center, Taipei 114, Taiwan
- Graduate Institute of Medical Sciences, National Defense Medical Center, Taipei 114, Taiwan
| | - Pi-Kai Chang
- Division of Colorectal Surgery, Department of surgery, Tri-Service General Hospital, National Defense Medical Center, Taipei 114, Taiwan
| | - Chao-Yang Chen
- Division of Colorectal Surgery, Department of surgery, Tri-Service General Hospital, National Defense Medical Center, Taipei 114, Taiwan
| | - Jia-Jheng Wu
- School of Public Health, National Defense Medical Center, Taipei 114, Taiwan
| | - Yu-Jyun Lin
- School of Public Health, National Defense Medical Center, Taipei 114, Taiwan
| | - Chien-An Sun
- Department of Public Health, College of Medicine, Fu-Jen Catholic University, New Taipei City 242, Taiwan
- Big Data Research Center, College of Medicine, Fu-Jen Catholic University, New Taipei City 242, Taiwan
| | - Tsan Yang
- Department of Health Business Administration, Meiho University, Pingtung County 912, Taiwan
| | - Chih-Hsiung Hsu
- School of Public Health, National Defense Medical Center, Taipei 114, Taiwan
| | - Hua-Ching Lin
- Division of Colorectal Surgery, Department of Surgery, Cheng-Hsin General Hospital, Taipei 112, Taiwan
| | - Yu-Ching Chou
- School of Public Health, National Defense Medical Center, Taipei 114, Taiwan
- Graduate Institute of Medical Sciences, National Defense Medical Center, Taipei 114, Taiwan
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24
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Nwanaji-Enwerem JC, Nze C, Cardenas A. Long-term Aspirin Use and Epigenetic Mitotic Clocks for Cancer Risk Prediction: Findings in Healthy Colon Mucosa and Recommendations for Future Epigenetic Aging Studies. EPIGENETICS COMMUNICATIONS 2021; 1:5. [PMID: 35493198 PMCID: PMC9053330 DOI: 10.1186/s43682-021-00004-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/15/2021] [Accepted: 03/20/2021] [Indexed: 06/14/2023]
Abstract
BACKGROUND Despite the known role of mitosis in colorectal cancer, previous associations of long-term aspirin use with suppressed cancer-related epigenetic aging did not involve epigenetic mitotic clocks. We investigated these relationships using three epigenetic mitotic clocks developed for cancer risk prediction: EpiTOC, EpiTOC2, and MiAge. We utilized publicly available HumanMethylationEPIC BeadChip data from 112 healthy colon (proximal and distal) mucosal samples taken at baseline (T1) and at 10-years follow-up (T2) from a screening cohort of 28 Polish women (11 non-users and 17 long-term [≥ 2 years] aspirin users). Mitotic clock values were divided by chronological age at each timepoint to obtain intrinsic rates (IRs). We evaluated differences in residuals of the mitotic clock IRs taken from linear mixed effects models adjusted for BMI, polyp status, and DNA methylation batch. FINDINGS EpiTOC, EpiTOC2 and MiAge were significantly correlated with chronological age (P < 0.05) with correlations ranging from 0.41 to 0.63. The EpiTOC, EpiTOC2 and MiAge clocks were strongly correlated with each other in proximal and distal samples (r > 0.79, P < 0.0001). We observed proximal within group median clock IR deceleration for EpiTOC (-0.0004 DNAm, P = 0.008), EpiTOC2 (-16 cell divisions, P = 0.009), and MiAge (-3 cell divisions, P = 0.002) for long-term aspirin users from T1 to T2 but not for non-users. In distal samples, only the long-term user MiAge IR was significantly deaccelerated (-3 cell divisions, P = 0.009). CONCLUSIONS Our observed findings support previously reported longitudinal associations of aspirin use with deceleration of other epigenetic age measures in the proximal colon. Our mitotic clock results suggest that cell proliferation could play a role in some aspirin relationships with epigenetic aging. Furthermore, the findings provide added impetus for establishing gold standards for epigenetic aging and consensus guidelines for more comprehensive reporting in future epigenetic aging cancer studies.
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Affiliation(s)
- Jamaji C. Nwanaji-Enwerem
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, and MD/PhD Program, Harvard Medical School, Boston, MA, USA
- Division of Environmental Health Sciences, School of Public Health and Center for Computational Biology, University of California, Berkeley, Berkeley, CA, USA
| | - Chijioke Nze
- The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Andres Cardenas
- Division of Environmental Health Sciences, School of Public Health and Center for Computational Biology, University of California, Berkeley, Berkeley, CA, USA
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25
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Epigenetic Age Acceleration Is Not Associated with Age-Related Macular Degeneration. Int J Mol Sci 2021; 22:ijms222413457. [PMID: 34948253 PMCID: PMC8705580 DOI: 10.3390/ijms222413457] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2021] [Revised: 12/01/2021] [Accepted: 12/02/2021] [Indexed: 01/01/2023] Open
Abstract
DNA methylation age (DNAm age) estimation is a powerful biomarker of human ageing. To date, epigenetic clocks have not been evaluated in age-related macular degeneration (AMD). Here, we perform genome-wide DNA methylation analyses in blood of AMD patients with a documented smoking history (14 AMD, 16 Normal), identifying loci of differential methylation (DML) with a relaxed p-value criterion (p ≤ 10−4). We conduct DNAm age analyses using the Horvath-multi tissue, Hannum and Skin & Blood epigenetic clocks in both blood and retinal pigment epithelium (RPE). We perform Ingenuity Pathway Analysis Causal Network Analysis (IPA CNA) on the topmost significantly differentially methylated CpG probes in blood and RPE. Results show poor performance of epigenetic clocks in RPE. Epigenetic age acceleration (EAA) was not observed in AMD. However, we observe positive EAA in blood of smokers, and in smokers with AMD. DML analysis revealed hypomethylation at cg04953735 within RPTOR (p = 6.51 × 10−5; Δβ = −11.95%). IPA CNA in the RPE also identified RPTOR as the putative master regulator, predicted to be inhibited in AMD. In conclusion, this is the first study evaluating an association of epigenetic ageing in AMD. We posit a role for RPTOR as a common master regulator of methylation changes in the RPE in AMD.
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26
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Lin J, Cao Z, Yu D, Cai W. Identification of Transcription Factor-Related Gene Signature and Risk Score Model for Colon Adenocarcinoma. Front Genet 2021; 12:709133. [PMID: 34603375 PMCID: PMC8485095 DOI: 10.3389/fgene.2021.709133] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2021] [Accepted: 09/03/2021] [Indexed: 01/10/2023] Open
Abstract
The prognosis of colon adenocarcinoma (COAD) remains poor. However, the specific and sensitive biomarkers for diagnosis and prognosis of COAD are absent. Transcription factors (TFs) are involved in many biological processes in cells. As the molecule of the signal pathway of the terminal effectors, TFs play important roles in tumorigenesis and development. A growing body of research suggests that aberrant TFs contribute to the development of COAD, as well as to its clinicopathological features and prognosis. In consequence, a few studies have investigated the relationship between the TF-related risk model and the prognosis of COAD. Therefore, in this article, we hope to develop a prognostic risk model based on TFs to predict the prognosis of patients with COAD. The mRNA transcription data and corresponding clinical data were downloaded from TCGA and GEO. Then, 141 differentially expressed genes, validated by the GEPIA2 database, were identified by differential expression analysis between normal and tumor samples. Univariate, multivariate and Lasso Cox regression analysis were performed to identify seven prognostic genes (E2F3, ETS2, HLF, HSF4, KLF4, MEIS2, and TCF7L1). The Kaplan-Meier curve and the receiver operating characteristic curve (ROC, 1-year AUC: 0.723, 3-year AUC: 0.775, 5-year AUC: 0.786) showed that our model could be used to predict the prognosis of patients with COAD. Multivariate Cox analysis also reported that the risk model is an independent prognostic factor of COAD. The external cohort (GSE17536 and GSE39582) was used to validate our risk model, which indicated that our risk model may be a reliable predictive model for COAD patients. Finally, based on the model and the clinicopathological factors, we constructed a nomogram with a C-index of 0.802. In conclusion, we emphasize the clinical significance of TFs in COAD and construct a prognostic model of TFs, which could provide a novel and reliable model for the prognosis of COAD.
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Affiliation(s)
- Jianwei Lin
- Department of General Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zichao Cao
- Department of General Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Dingye Yu
- Department of General Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Wei Cai
- Department of General Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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27
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Anghel SA, Ioniță-Mîndrican CB, Luca I, Pop AL. Promising Epigenetic Biomarkers for the Early Detection of Colorectal Cancer: A Systematic Review. Cancers (Basel) 2021; 13:4965. [PMID: 34638449 PMCID: PMC8508438 DOI: 10.3390/cancers13194965] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2021] [Revised: 09/22/2021] [Accepted: 09/29/2021] [Indexed: 12/12/2022] Open
Abstract
In CRC, screening compliance is decreased due to the experienced discomfort associated with colonoscopy, although this method is the gold standard in terms of sensitivity and specificity. Promoter DNA methylation (hypomethylation or hypermethylation) has been linked to all CRC stages. Study objectives: to systematically review the current knowledge on approved biomarkers, reveal new potential ones, and inspect tactics that can improve performance. This research was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines; the risk of bias was evaluated using the revised Quality Assessment of Diagnostic Accuracy Studies criteria (QUADAS-2). The Web of Science® Core Collection, MEDLINE® and Scopus® databases were searched for original articles published in peer-reviewed journals with the specific keywords "colorectal cancer", "early detection", "early-stage colorectal cancer", "epigenetics", "biomarkers", "DNA methylation biomarkers", "stool or blood or tissue or biopsy", "NDRG4", "BMP3", "SEPT9", and "SDC2". Based on eligibility criteria, 74 articles were accepted for analysis. mSDC2 and mSEPT9 were frequently assessed in studies, alone or together as part of the ColoDefense panel test-the latter with the greatest performance. mBMP3 may not be an appropriate marker for detecting CRC. A panel of five methylated binding sites of the CTCF gene holds the promise for early-stage specific detection of CRC. CRC screening compliance and accuracy can be enhanced by employing a stool mt-DNA methylation test.
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Affiliation(s)
- Sorina Andreea Anghel
- Department of Clinical Laboratory, Food Safety, "Carol Davila" University of Medicine and Pharmacy, 6 Traian Vuia Street, 020945 Bucharest, Romania
- Department of Molecular Cell Biology, Institute of Biochemistry, Splaiul Independentei 296, 060031 Bucharest, Romania
| | - Corina-Bianca Ioniță-Mîndrican
- Department of Clinical Laboratory, Food Safety, "Carol Davila" University of Medicine and Pharmacy, 6 Traian Vuia Street, 020945 Bucharest, Romania
- Department of Toxicology, Faculty of Pharmacy, "Carol Davila" University of Medicine and Pharmacy, 020945 Bucharest, Romania
| | - Ioana Luca
- Department of Clinical Laboratory, Food Safety, "Carol Davila" University of Medicine and Pharmacy, 6 Traian Vuia Street, 020945 Bucharest, Romania
| | - Anca Lucia Pop
- Department of Clinical Laboratory, Food Safety, "Carol Davila" University of Medicine and Pharmacy, 6 Traian Vuia Street, 020945 Bucharest, Romania
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Xia X, Wang Y, Yu Z, Chen J, Han JDJ. Assessing the rate of aging to monitor aging itself. Ageing Res Rev 2021; 69:101350. [PMID: 33940202 DOI: 10.1016/j.arr.2021.101350] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2020] [Revised: 04/05/2021] [Accepted: 04/26/2021] [Indexed: 12/22/2022]
Abstract
Healthy aging is the prime goal of aging research and interventions. Healthy aging or not can be quantified by biological aging rates estimated by aging clocks. Generation and accumulation of large scale high-dimensional biological data together with maturation of artificial intelligence among other machine learning techniques, have enabled and spurred the rapid development of various aging rate estimators (aging clocks). Here we review the data sources and compare the algorithms of recent human aging clocks, and the applications of these clocks in both researches and daily life. We envision that not only more and multiscale data on cross-sectional data will add momentum to the aging clock development, new longitudinal and interventional data will further raise the aging clock development to the next level to be trained by true biological age such as morbidity and mortality age.
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Joo JE, Clendenning M, Wong EM, Rosty C, Mahmood K, Georgeson P, Winship IM, Preston SG, Win AK, Dugué PA, Jayasekara H, English D, Macrae FA, Hopper JL, Jenkins MA, Milne RL, Giles GG, Southey MC, Buchanan DD. DNA Methylation Signatures and the Contribution of Age-Associated Methylomic Drift to Carcinogenesis in Early-Onset Colorectal Cancer. Cancers (Basel) 2021; 13:cancers13112589. [PMID: 34070516 PMCID: PMC8199056 DOI: 10.3390/cancers13112589] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2021] [Revised: 05/14/2021] [Accepted: 05/19/2021] [Indexed: 12/12/2022] Open
Abstract
Simple Summary The role of DNA methylation in the carcinogenesis of colorectal cancer (CRC) diagnosed <50 years of age (early-onset CRC or EOCRC) is currently unknown. In this study, we investigated the genome-wide DNA methylation of 97 tumour and 54 normal colonic mucosa samples from people with EOCRC with the aim of identifying unique DNA methylation signatures and determining the role of ageing-related DNA methylation drift and age-acceleration in EOCRC aetiology. We found extensive DNA methylation alterations associated with EOCRC carcinogenesis, including a unique signature comprising 234 loci compared with CRCs from people >50 years of age. CpGs that undergo ageing-related methylation drift were significantly altered in EOCRC, and accelerated ageing was also evident in normal mucosa from people with EOCRC. Our study is the first study to identify unique DNA methylation changes in EOCRC, contributing novel information that may aid future efforts towards EOCRC prevention. Abstract We investigated aberrant DNA methylation (DNAm) changes and the contribution of ageing-associated methylomic drift and age acceleration to early-onset colorectal cancer (EOCRC) carcinogenesis. Genome-wide DNAm profiling using the Infinium HM450K on 97 EOCRC tumour and 54 normal colonic mucosa samples was compared with: (1) intermediate-onset CRC (IOCRC; diagnosed between 50–70 years; 343 tumour and 35 normal); and (2) late-onset CRC (LOCRC; >70 years; 318 tumour and 40 normal). CpGs associated with age-related methylation drift were identified using a public dataset of 231 normal mucosa samples from people without CRC. DNAm-age was estimated using epiTOC2. Common to all three age-of-onset groups, 88,385 (20% of all CpGs) CpGs were differentially methylated between tumour and normal mucosa. We identified 234 differentially methylated genes that were unique to the EOCRC group; 13 of these DMRs/genes were replicated in EOCRC compared with LOCRCs from TCGA. In normal mucosa from people without CRC, we identified 28,154 CpGs that undergo ageing-related DNAm drift, and of those, 65% were aberrantly methylated in EOCRC tumours. Based on the mitotic-based DNAm clock epiTOC2, we identified age acceleration in normal mucosa of people with EOCRC compared with normal mucosa from the IOCRC, LOCRC groups (p = 3.7 × 10−16) and young people without CRC (p = 5.8 × 10−6). EOCRC acquires unique DNAm alterations at 234 loci. CpGs associated with ageing-associated drift were widely affected in EOCRC without needing the decades-long accrual of DNAm drift as commonly seen in intermediate- and late-onset CRCs. Accelerated ageing in normal mucosa from people with EOCRC potentially underlies the earlier age of diagnosis in CRC carcinogenesis.
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Affiliation(s)
- Jihoon E. Joo
- Colorectal Oncogenomics Group, Department of Clinical Pathology, The University of Melbourne, Parkville, Melbourne 3010, Australia; (J.E.J.); (M.C.); (C.R.); (K.M.); (P.G.); (S.G.P.); (H.J.)
- University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, Parkville, Melbourne 3000, Australia
| | - Mark Clendenning
- Colorectal Oncogenomics Group, Department of Clinical Pathology, The University of Melbourne, Parkville, Melbourne 3010, Australia; (J.E.J.); (M.C.); (C.R.); (K.M.); (P.G.); (S.G.P.); (H.J.)
- University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, Parkville, Melbourne 3000, Australia
| | - Ee Ming Wong
- Precision Medicine, Monash Health, Monash University, Clayton, Melbourne 3800, Australia; (E.M.W.); (P.-A.D.); (R.L.M.); (G.G.G.); (M.C.S.)
| | - Christophe Rosty
- Colorectal Oncogenomics Group, Department of Clinical Pathology, The University of Melbourne, Parkville, Melbourne 3010, Australia; (J.E.J.); (M.C.); (C.R.); (K.M.); (P.G.); (S.G.P.); (H.J.)
- University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, Parkville, Melbourne 3000, Australia
- School of Medicine, University of Queensland, Herston, Brisbane 4006, Australia
- Envoi Pathology, Brisbane 4059, Australia
| | - Khalid Mahmood
- Colorectal Oncogenomics Group, Department of Clinical Pathology, The University of Melbourne, Parkville, Melbourne 3010, Australia; (J.E.J.); (M.C.); (C.R.); (K.M.); (P.G.); (S.G.P.); (H.J.)
- University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, Parkville, Melbourne 3000, Australia
- Melbourne Bioinformatics, The University of Melbourne, Parkville, Melbourne 3010, Australia
| | - Peter Georgeson
- Colorectal Oncogenomics Group, Department of Clinical Pathology, The University of Melbourne, Parkville, Melbourne 3010, Australia; (J.E.J.); (M.C.); (C.R.); (K.M.); (P.G.); (S.G.P.); (H.J.)
- University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, Parkville, Melbourne 3000, Australia
| | - Ingrid M. Winship
- Department of Medicine, The Royal Melbourne Hospital, University of Melbourne, Parkville, Melbourne 3050, Australia; (I.M.W.); (F.A.M.)
- Genomic Medicine and Family Cancer Clinic, Royal Melbourne Hospital, Parkville, Melbourne 3050, Australia
| | - Susan G. Preston
- Colorectal Oncogenomics Group, Department of Clinical Pathology, The University of Melbourne, Parkville, Melbourne 3010, Australia; (J.E.J.); (M.C.); (C.R.); (K.M.); (P.G.); (S.G.P.); (H.J.)
- University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, Parkville, Melbourne 3000, Australia
| | - Aung Ko Win
- Centre for Epidemiology and Biostatistics, The University of Melbourne, Melbourne 3010, Australia; (A.K.W.); (D.E.); (J.L.H.); (M.A.J.)
| | - Pierre-Antoine Dugué
- Precision Medicine, Monash Health, Monash University, Clayton, Melbourne 3800, Australia; (E.M.W.); (P.-A.D.); (R.L.M.); (G.G.G.); (M.C.S.)
- Centre for Epidemiology and Biostatistics, The University of Melbourne, Melbourne 3010, Australia; (A.K.W.); (D.E.); (J.L.H.); (M.A.J.)
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne 3004, Australia
| | - Harindra Jayasekara
- Colorectal Oncogenomics Group, Department of Clinical Pathology, The University of Melbourne, Parkville, Melbourne 3010, Australia; (J.E.J.); (M.C.); (C.R.); (K.M.); (P.G.); (S.G.P.); (H.J.)
- University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, Parkville, Melbourne 3000, Australia
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne 3004, Australia
| | - Dallas English
- Centre for Epidemiology and Biostatistics, The University of Melbourne, Melbourne 3010, Australia; (A.K.W.); (D.E.); (J.L.H.); (M.A.J.)
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne 3004, Australia
| | - Finlay A. Macrae
- Department of Medicine, The Royal Melbourne Hospital, University of Melbourne, Parkville, Melbourne 3050, Australia; (I.M.W.); (F.A.M.)
- Genomic Medicine and Family Cancer Clinic, Royal Melbourne Hospital, Parkville, Melbourne 3050, Australia
- Colorectal Medicine and Genetics, The Royal Melbourne Hospital, Parkville, Melbourne 3050, Australia
| | - John L. Hopper
- Centre for Epidemiology and Biostatistics, The University of Melbourne, Melbourne 3010, Australia; (A.K.W.); (D.E.); (J.L.H.); (M.A.J.)
| | - Mark A. Jenkins
- Centre for Epidemiology and Biostatistics, The University of Melbourne, Melbourne 3010, Australia; (A.K.W.); (D.E.); (J.L.H.); (M.A.J.)
| | - Roger L. Milne
- Precision Medicine, Monash Health, Monash University, Clayton, Melbourne 3800, Australia; (E.M.W.); (P.-A.D.); (R.L.M.); (G.G.G.); (M.C.S.)
- Centre for Epidemiology and Biostatistics, The University of Melbourne, Melbourne 3010, Australia; (A.K.W.); (D.E.); (J.L.H.); (M.A.J.)
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne 3004, Australia
| | - Graham G. Giles
- Precision Medicine, Monash Health, Monash University, Clayton, Melbourne 3800, Australia; (E.M.W.); (P.-A.D.); (R.L.M.); (G.G.G.); (M.C.S.)
- Centre for Epidemiology and Biostatistics, The University of Melbourne, Melbourne 3010, Australia; (A.K.W.); (D.E.); (J.L.H.); (M.A.J.)
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne 3004, Australia
| | - Melissa C. Southey
- Precision Medicine, Monash Health, Monash University, Clayton, Melbourne 3800, Australia; (E.M.W.); (P.-A.D.); (R.L.M.); (G.G.G.); (M.C.S.)
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne 3004, Australia
- Department of Clinical Pathology, The University of Melbourne, Parkville, Melbourne 3010, Australia
| | - Daniel D. Buchanan
- Colorectal Oncogenomics Group, Department of Clinical Pathology, The University of Melbourne, Parkville, Melbourne 3010, Australia; (J.E.J.); (M.C.); (C.R.); (K.M.); (P.G.); (S.G.P.); (H.J.)
- University of Melbourne Centre for Cancer Research, Victorian Comprehensive Cancer Centre, Parkville, Melbourne 3000, Australia
- Genomic Medicine and Family Cancer Clinic, Royal Melbourne Hospital, Parkville, Melbourne 3050, Australia
- Correspondence: ; Tel.: +61-3-8559-7004
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Association between risk factors, molecular features and CpG island methylator phenotype colorectal cancer among different age groups in a Taiwanese cohort. Br J Cancer 2021; 125:48-54. [PMID: 33846524 DOI: 10.1038/s41416-021-01300-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2020] [Revised: 01/27/2021] [Accepted: 02/03/2021] [Indexed: 12/09/2022] Open
Abstract
BACKGROUND CpG island methylator phenotype (CIMP) represents a carcinogenesis pathway of colorectal cancer (CRC) and the association between CIMP CRC, molecular features and risk factors in East Asian population is less studied. METHODS We prospectively enrolled newly diagnosed CRC patients at the National Taiwan University Hospital. Clinicopathological data and risk factors for CRC were collected during interview. The tumour samples were subjected to CIMP, RAS/BRAF mutation and microsatellite instability tests. CIMP-high was determined when ≧3 methylated loci of p16, MINT1, MINT2, MINT31 and MLH1 were identified. Multivariate logistic regression was used to evaluate the association between risk factors and CIMP-high CRC. RESULTS Compared with CIMP-low/negative CRC, CIMP-high CRC was associated with more stage IV disease, BRAF V600E mutation and high body mass index (BMI ≧ 27.5 kg/m2) in younger patients (age < 50 y), and more right-sided tumour, BRAF V600E mutation, MSI-high and colorectal polyp in elder patients (age ≧ 50 y). Multivariate analyses showed that BMI ≧27.5 kg/m2 was significantly associated with CIMP-high CRC in younger patients. CONCLUSIONS We identified distinct clinicopathological features for CIMP-high CRC among different age groups in Taiwan. Our data suggest the association between BMI ≧27.5 kg/m2 and CIMP-high CRC in patients younger than 50 years.
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Mehdi MM, Solanki P, Singh P. Oxidative stress, antioxidants, hormesis and calorie restriction: The current perspective in the biology of aging. Arch Gerontol Geriatr 2021; 95:104413. [PMID: 33845417 DOI: 10.1016/j.archger.2021.104413] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2020] [Revised: 02/25/2021] [Accepted: 03/30/2021] [Indexed: 12/12/2022]
Abstract
Aging, in a large measure, has long been defined as the resultant of oxidative stress acting on the cells. The cellular machinery eventually malfunctions at the basic level by the damage from the processes of oxidation and the system starts slowing down because of intrinsic eroding. To understand the initial destruction at the cellular level spreading outward to affect tissues, organs and the organism, the relationship between molecular damage and oxidative stress is required to understand. Retarding the aging process is a matter of cumulatively decreasing the rate of oxidative damage to the cellular machinery. Along with the genetic reasons, the decrease of oxidative stress is somehow a matter of lifestyle and importantly of diet. In the current review, the theories of aging and the understanding of various levels of molecular damage by oxidative stress have been emphasized. A broader understanding of mechanisms of aging have been elaborated in terms of effects of oxidative at molecular, mitochondrial, cellular and organ levels. The antioxidants supplementation, hormesis and calorie restriction as the prominent anti-aging strategies have also been discussed. The relevance and the efficacy of the antiaging strategies at system level have also been presented.
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Affiliation(s)
- Mohammad Murtaza Mehdi
- Department of Biochemistry, School of Bio-engineering and Biosciences, Lovely Professional University, Phagwara, 144411, Punjab, India.
| | - Preeti Solanki
- Multidisciplinary Research Unit, Pandit Bhagwat Dayal Sharma Post Graduate Institute of Medical Sciences, Rohtak, 124001, Haryana, India
| | - Prabhakar Singh
- Department of Biochemistry, Veer Bahadur Singh Purvanchal University, Jaunpur, 222003, Uttar Pradesh, India
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Abstract
Colorectal cancer (CRC) is characterized by genetic-environmental interplay leading to diffuse changes in the entire colonic mucosa (field carcinogenesis or field of injury) and to a pro-neoplastic genetic/epigenetic/physiological milieu. The clinical consequences are increased risk of synchronous and metachronous neoplasia. Factors such as genetics, race, ethnicity, age, and socioeconomic status are thought to influence neoplasia development. Here, we explore the potential improvement to CRC screening through exploiting field carcinogenesis, with particular focus on racial disparities and chemoprevention strategies. Also, we discuss future directions for field carcinogenesis/risk stratification using molecular and novel biophotonic techniques for personalized CRC screening.
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Torres W, Nava M, Galbán N, Gómez Y, Morillo V, Rojas M, Cano C, Chacín M, D Marco L, Herazo Y, Velasco M, Bermúdez V, Rojas-Quintero J. Anti-Aging Effect of Metformin: A Molecular and Therapeutical Perspective. Curr Pharm Des 2021; 26:4496-4508. [PMID: 32674728 DOI: 10.2174/1381612826666200716161610] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2020] [Accepted: 06/09/2020] [Indexed: 12/25/2022]
Abstract
Aging is a time-dependent inevitable process, in which cellular homeostasis is affected, which has an impact on tissue function. This represents a risk factor for the development of numerous non-transmissible diseases. In consequence, the scientific community continues to search for therapeutic measures capable of improving quality of life and delaying cellular aging. At the center of this research is metformin, a widely used drug in Type 2 Diabetes Mellitus treatment that has a reduced adverse effects profile. Furthermore, there is evidence that this drug has beneficial health effects that go beyond its anti-hyperglycemic properties. Among these effects, its geronto-protection capability stands out. There is growing evidence that points out to an increased life expectancy as well as the quality of life in model organisms treated with metformin. Therefore, there is an abundance of research centered on elucidating the mechanism through which metformin has its anti-aging effects. Among these, the AMPK, mTORC1, SIRT1, FOXO, NF.kB, and DICER1 pathways can be mentioned. Furthermore, studies have highlighted the possibility of a role for the gut microbiome in these processes. The next step is the design of clinical essays that have as a goal evaluating the efficacy and safety of metformin as an anti-aging drug in humans to create a paradigm in the medical horizon. The question being if metformin is, in fact, the new antiaging therapy in humans?
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Affiliation(s)
- Wheeler Torres
- Endocrine and Metabolic Diseases Research Center, School of Medicine, University of Zulia, Maracaibo, Venezuela
| | - Manuel Nava
- Endocrine and Metabolic Diseases Research Center, School of Medicine, University of Zulia, Maracaibo, Venezuela
| | - Nestor Galbán
- Endocrine and Metabolic Diseases Research Center, School of Medicine, University of Zulia, Maracaibo, Venezuela
| | - Yosselin Gómez
- Endocrine and Metabolic Diseases Research Center, School of Medicine, University of Zulia, Maracaibo, Venezuela
| | - Valery Morillo
- Endocrine and Metabolic Diseases Research Center, School of Medicine, University of Zulia, Maracaibo, Venezuela
| | - Milagros Rojas
- Endocrine and Metabolic Diseases Research Center, School of Medicine, University of Zulia, Maracaibo, Venezuela
| | - Clímaco Cano
- Endocrine and Metabolic Diseases Research Center, School of Medicine, University of Zulia, Maracaibo, Venezuela
| | - Maricarmen Chacín
- Universidad Simón Bolívar, Facultad de Ciencias de la Salud, Barranquilla, Colombia
| | - Luis D Marco
- Hospital Clínico Universitario, INCLIVA, Nephrology Department, Valencia, España
| | - Yaneth Herazo
- Universidad Simón Bolívar, Facultad de Ciencias de la Salud, Barranquilla, Colombia
| | - Manuel Velasco
- Clinical Pharmacologic Unit, Vargas School of Medicine, Universidad Central de Venezuela, Caracas,
Venezuela
| | - Valmore Bermúdez
- Universidad Simón Bolívar, Facultad de Ciencias de la Salud, Barranquilla, Colombia
| | - Joselyn Rojas-Quintero
- Pulmonary and Critical Care Medicine Department, Brigham and Women’s Hospital, Harvard Medical School,
Boston, MA 02115, USA
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Wang S, Prizment A, Thyagarajan B, Blaes A. Cancer Treatment-Induced Accelerated Aging in Cancer Survivors: Biology and Assessment. Cancers (Basel) 2021; 13:427. [PMID: 33498754 PMCID: PMC7865902 DOI: 10.3390/cancers13030427] [Citation(s) in RCA: 33] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2020] [Revised: 01/17/2021] [Accepted: 01/18/2021] [Indexed: 12/11/2022] Open
Abstract
Rapid improvements in cancer survival led to the realization that many modalities used to treat or control cancer may cause accelerated aging in cancer survivors. Clinically, "accelerated aging" phenotypes in cancer survivors include secondary cancers, frailty, chronic organ dysfunction, and cognitive impairment, all of which can impact long-term health and quality of life in cancer survivors. The treatment-induced accelerated aging in cancer survivors could be explained by telomere attrition, cellular senescence, stem cell exhaustion, DNA damage, and epigenetic alterations. Several aging clocks and biomarkers of aging have been proposed to be potentially useful in estimating biological age, which can provide specific information about how old an individual is biologically independent of chronological age. Measuring biological age in cancer survivors may be important for two reasons. First, it can better predict the risk of cancer treatment-related comorbidities than chronological age. Second, biological age may provide additional value in evaluating the effects of treatments and personalizing cancer therapies to maximize efficacy of treatment. A deeper understanding of treatment-induced accelerated aging in individuals with cancer may lead to novel strategies that reduce the accelerated aging and improve the quality of life in cancer survivors.
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Affiliation(s)
- Shuo Wang
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN 55455, USA
| | - Anna Prizment
- Division of Hematology, Oncology and Transplantation, Medical School, University of Minnesota, Minneapolis, MN 55455, USA; (A.P.); (A.B.)
- Masonic Cancer Center, University of Minnesota, Minneapolis, MN 55455, USA;
| | - Bharat Thyagarajan
- Masonic Cancer Center, University of Minnesota, Minneapolis, MN 55455, USA;
- Department of Laboratory Medicine and Pathology, Medical School, University of Minnesota, Minneapolis, MN 55455, USA
| | - Anne Blaes
- Division of Hematology, Oncology and Transplantation, Medical School, University of Minnesota, Minneapolis, MN 55455, USA; (A.P.); (A.B.)
- Masonic Cancer Center, University of Minnesota, Minneapolis, MN 55455, USA;
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Lau CHE, Robinson O. DNA methylation age as a biomarker for cancer. Int J Cancer 2021; 148:2652-2663. [PMID: 33394520 DOI: 10.1002/ijc.33451] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2020] [Revised: 12/14/2020] [Accepted: 12/15/2020] [Indexed: 12/11/2022]
Abstract
Cancer is well established as an age-associated disease, and there is substantial overlap in the molecular, cellular and physiological changes observed with both ageing and the progression of cancer. Age-specific declines in resilience mechanisms such as DNA repair or epigenetic maintenance may contribute to the development of cancer. These declines may be assessed through biomarkers that measure biological age and through the related concept of "age acceleration". Epigenetic clocks, assessed through DNA methylation levels, are among the most widely used biological age markers in cancer studies. In this review, we discuss the use of DNA methylation ageing measures to predict population cancer incidence, mortality and survival. Blood-based DNA methylation age estimators appear to be promising measures of increased cancer risk and mortality, although their reported effects are generally weak, thus its clinical relevance remains to be validated in large case-cohort and longitudinal studies. Future development of epigenetic and other biological age biomarkers will likely further elucidate the links between ageing and cancer.
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Affiliation(s)
- Chung-Ho E Lau
- MRC Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Oliver Robinson
- MRC Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
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Maugeri A, Barchitta M, Magnano San Lio R, Li Destri G, Agodi A, Basile G. Epigenetic Aging and Colorectal Cancer: State of the Art and Perspectives for Future Research. Int J Mol Sci 2020; 22:ijms22010200. [PMID: 33379143 PMCID: PMC7795459 DOI: 10.3390/ijms22010200] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2020] [Revised: 12/22/2020] [Accepted: 12/24/2020] [Indexed: 12/13/2022] Open
Abstract
Although translational research has identified a large number of potential biomarkers involved in colorectal cancer (CRC) carcinogenesis, a better understanding of the molecular pathways associated with biological aging in colorectal cells and tissues is needed. Here, we aim to summarize the state of the art about the role of age acceleration, defined as the difference between epigenetic age and chronological age, in the development and progression of CRC. Some studies have shown that accelerated biological aging is positively associated with the risk of cancer and death in general. In line with these findings, other studies have shown how the assessment of epigenetic age in people at risk for CRC could be helpful for monitoring the molecular response to preventive interventions. Moreover, it would be interesting to investigate whether aberrant epigenetic aging could help identify CRC patients with a high risk of recurrence and a worst prognosis, as well as those who respond poorly to treatment. Yet, the application of this novel concept is still in its infancy, and further research should be encouraged in anticipation of future applications in clinical practice.
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Affiliation(s)
- Andrea Maugeri
- Department of Medical and Surgical Sciences and Advanced Technologies “GF Ingrassia”, University of Catania, via S. Sofia, 87, 95123 Catania, Italy; (A.M.); (R.M.S.L.); (G.L.D.); (A.A.)
| | - Martina Barchitta
- Department of Medical and Surgical Sciences and Advanced Technologies “GF Ingrassia”, University of Catania, via S. Sofia, 87, 95123 Catania, Italy; (A.M.); (R.M.S.L.); (G.L.D.); (A.A.)
- Correspondence:
| | - Roberta Magnano San Lio
- Department of Medical and Surgical Sciences and Advanced Technologies “GF Ingrassia”, University of Catania, via S. Sofia, 87, 95123 Catania, Italy; (A.M.); (R.M.S.L.); (G.L.D.); (A.A.)
| | - Giovanni Li Destri
- Department of Medical and Surgical Sciences and Advanced Technologies “GF Ingrassia”, University of Catania, via S. Sofia, 87, 95123 Catania, Italy; (A.M.); (R.M.S.L.); (G.L.D.); (A.A.)
| | - Antonella Agodi
- Department of Medical and Surgical Sciences and Advanced Technologies “GF Ingrassia”, University of Catania, via S. Sofia, 87, 95123 Catania, Italy; (A.M.); (R.M.S.L.); (G.L.D.); (A.A.)
| | - Guido Basile
- Department of General Surgery and Medical-Surgical Specialties, University of Catania, via S. Sofia, 78, 95123 Catania, Italy;
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The Development of Three-DNA Methylation Signature as a Novel Prognostic Biomarker in Patients with Colorectal Cancer. BIOMED RESEARCH INTERNATIONAL 2020; 2020:3497810. [PMID: 33294438 PMCID: PMC7714567 DOI: 10.1155/2020/3497810] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/26/2020] [Revised: 10/18/2020] [Accepted: 10/28/2020] [Indexed: 11/25/2022]
Abstract
Aims The prognosis of colorectal cancer (CRC) remains poor. This study aimed to develop and validate DNA methylation-based signature model to predict overall survival of CRC patients. Methods The methylation array data of CRC patients were retrieved from The Cancer Genome Atlas (TCGA) database. These patients were divided into training and validation datasets. A risk score model was established based on Kaplan-Meier and multivariate Cox regression analysis of training cohort and tested in validation cohort. Results Among total 14,626 DNA methylation candidate markers, we found that a three-DNA methylation signature (NR1H2, SCRIB, and UACA) was significantly associated with overall survival of CRC patients. Subgroup analysis indicated that this signature could predict overall survival of CRC patients regardless of age and gender. Conclusions We established a prognostic model consisted of 3-DNA methylation sites, which could be used as potential biomarker to evaluate the prognosis of CRC patients.
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Sasidharan Nair V, Saleh R, Toor SM, Taha RZ, Ahmed AA, Kurer MA, Murshed K, Abu Nada M, Elkord E. Epigenetic regulation of immune checkpoints and T cell exhaustion markers in tumor-infiltrating T cells of colorectal cancer patients. Epigenomics 2020; 12:1871-1882. [PMID: 33169618 DOI: 10.2217/epi-2020-0267] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
Aim: To elucidate the epigenetic alterations behind the upregulation of immune checkpoints and T cell exhaustion markers in colorectal cancer (CRC) patients. Materials & methods: mRNA expressions of different immune checkpoint/exhaustion markers were analyzed by quantitative real-time reverse transcriptase PCR and epigenetic investigations were performed using bisulfite sequencing and chromatin immunoprecipitation quantitative PCR. Results: mRNA expressions of PD-1, TIM-3, CTLA-4, PD-L1 and TOX2 were significantly upregulated in CD4+ and CD8+ tumor-infiltrating lymphocytes and bulk CRC tumor tissues. Histone 3 lysine 9 trimethylation was downregulated and histone 3 lysine 4 trimethylation was upregulated in PD-L1 and TOX2 promoters in tumor tissues, suggesting that PD-L1 and TOX2 upregulation in CRC tumors could be mediated by activating histone 3 lysine 4 trimethylation. Conclusion: Epigenetic modifications in promoters of immune checkpoint and T cell exhaustion genes could induce their upregulation, and potentially implicate the use of epigenetic modifiers to enhance antitumor immunity in CRC patients.
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Affiliation(s)
- Varun Sasidharan Nair
- Cancer Research Center, Qatar Biomedical Research Institute (QBRI), Hamad Bin Khalifa University (HBKU), Qatar Foundation (QF), P.O.Box: 34110, Doha, Qatar
| | - Reem Saleh
- Cancer Research Center, Qatar Biomedical Research Institute (QBRI), Hamad Bin Khalifa University (HBKU), Qatar Foundation (QF), P.O.Box: 34110, Doha, Qatar
| | - Salman M Toor
- Cancer Research Center, Qatar Biomedical Research Institute (QBRI), Hamad Bin Khalifa University (HBKU), Qatar Foundation (QF), P.O.Box: 34110, Doha, Qatar
| | - Rowaida Z Taha
- Cancer Research Center, Qatar Biomedical Research Institute (QBRI), Hamad Bin Khalifa University (HBKU), Qatar Foundation (QF), P.O.Box: 34110, Doha, Qatar
| | - Ayman A Ahmed
- Department of Surgery, Hamad Medical Corporation, Doha, Qatar
| | - Mohamed A Kurer
- Department of Surgery, Hamad Medical Corporation, Doha, Qatar
| | - Khaled Murshed
- Department of Pathology, Hamad Medical Corporation, Doha, Qatar
| | | | - Eyad Elkord
- Cancer Research Center, Qatar Biomedical Research Institute (QBRI), Hamad Bin Khalifa University (HBKU), Qatar Foundation (QF), P.O.Box: 34110, Doha, Qatar.,Biomedical Research Center, School of Science, Engineering and Environment, University of Salford, Manchester, United Kingdom
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Noreen F, Chaber-Ciopinska A, Regula J, Schär P, Truninger K. Longitudinal analysis of healthy colon establishes aspirin as a suppressor of cancer-related epigenetic aging. Clin Epigenetics 2020; 12:164. [PMID: 33143725 PMCID: PMC7607658 DOI: 10.1186/s13148-020-00956-9] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2020] [Accepted: 10/22/2020] [Indexed: 01/04/2023] Open
Abstract
BACKGROUND Colon cancer (CC) is the third most common cancer worldwide, highlighting the importance of developing effective prevention strategies. Accumulating evidence supports that aspirin use reduces CC incidence. We reported previously that aspirin suppresses age-associated and CC-relevant DNA methylation (DNAm) in healthy colon. Here we addressed the aspirin's effectiveness in longitudinal cohort. METHODS We measured genome-wide DNAm in 124 healthy normal mucosa samples taken at baseline (time point 1, t1) and after 10-years follow-up (time point 2, t2) from a longitudinal female screening cohort. We investigated the time-dependent methylation drift in aspirin users and nonusers using multivariable regression and related the modulatory effect of aspirin to colonic epigenome-aging and CC. RESULTS Over time, compared to nonusers, long-term (≥ 2 years) aspirin users showed less hypermethylated CpGs (proximal: 17% vs. 87%; distal: 16% vs. 70%) and more hypomethylated CpGs (proximal: 83% vs. 13%; distal: 84% vs. 30%). Overall, users showed 2% (P = 0.02) less mean methylation levels than nonusers in proximal colon and displayed repressed methylation age (mAge). Methylation loss in users occurred at several CC-specific tumor suppressors that gained methylation in nonusers. Methylation loss in users effected genes involved in immune system and inflammation, while methylation gain in nonusers effected genes involved in metabolism. CONCLUSIONS This is the first longitudinal study demonstrating effectiveness of aspirin-use in suppression of age-related and CC-relevant hypermethylation in the normal colon. These findings provide a rationale for future studies to evaluate loci that may serve as markers to identify individuals that will benefit most from aspirin and hence increase its efficiency in CC prevention and therapy.
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Affiliation(s)
- Faiza Noreen
- Department of Biomedicine, University of Basel, Mattenstrasse 28, 4058, Basel, Switzerland. .,Swiss Institute of Bioinformatics, 4053, Basel, Switzerland.
| | - Anna Chaber-Ciopinska
- Department of Gastroenterology, Medical Center for Postgraduate Education, Maria Sklodowska-Curie Memorial Cancer Center, Warsaw, Poland
| | - Jaroslaw Regula
- Department of Gastroenterology, Medical Center for Postgraduate Education, Maria Sklodowska-Curie Memorial Cancer Center, Warsaw, Poland
| | - Primo Schär
- Department of Biomedicine, University of Basel, Mattenstrasse 28, 4058, Basel, Switzerland
| | - Kaspar Truninger
- Department of Biomedicine, University of Basel, Mattenstrasse 28, 4058, Basel, Switzerland. .,Gastroenterologie Oberaargau, 4900, Langenthal, Switzerland.
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40
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Li Y, Bai L, Yu H, Cai D, Wang X, Huang B, Peng S, Huang M, Cao G, Kaz AM, Grady WM, Wang J, Luo Y. Epigenetic Inactivation of α-Internexin Accelerates Microtubule Polymerization in Colorectal Cancer. Cancer Res 2020; 80:5203-5215. [PMID: 33051252 DOI: 10.1158/0008-5472.can-20-1590] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2020] [Revised: 08/26/2020] [Accepted: 10/08/2020] [Indexed: 11/16/2022]
Abstract
DNA methylation contributes to malignant transformation, but little is known about how the methylation drives colorectal cancer evolution at the early stages. Here we identify aberrant INA (α-internexin) gene methylation in colon adenoma and adenocarcinoma by filtering data obtained from a genome-wide screen of methylated genes. The gene encoding INA, a type IV intermediate filament, was frequently hypermethylated in CpG islands located in the promoter region. This hypermethylation preferentially occurred in large tumors and was a prognostic marker for poor overall survival in patients with colorectal cancer. This type of epigenetic alteration silenced INA expression in both adenoma and adenocarcinoma tissues. Gene silencing of INA in colorectal cancer cells increased cell proliferation, migration, and invasion. Restored INA expression blocked migration and invasion in vitro and reduced lung metastasis in vivo. Mechanistically, INA directly inhibited microtubule polymerization in vitro and decreased intracellular microtubule plus-end assembly rates. A peptide array screen surveying the tubulin-binding sites in INA identified a tubulin-binding motif located in the N-terminal head domain that plays a tumor-suppressive role by binding to unpolymerized tubulins and impeding microtubule polymerization. Thus, epigenetic inactivation of INA is an intermediate filament reorganization event that is essential to accelerate microtubule polymerization in the early stages of colorectal cancer. SIGNIFICANCE: This work provides insight into the epigenetic inactivation of INA, a novel identified tumor suppressor, which increases microtubule polymerization during colorectal cancer progression.
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Affiliation(s)
- Yingjie Li
- Guangdong Institute of Gastroenterology, Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Disease, the Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Liangliang Bai
- Guangdong Institute of Gastroenterology, Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Disease, the Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Huichuan Yu
- Guangdong Institute of Gastroenterology, Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Disease, the Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Du Cai
- Guangdong Institute of Gastroenterology, Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Disease, the Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Xiaolin Wang
- Guangdong Institute of Gastroenterology, Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Disease, the Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Baoyuan Huang
- Guangdong Institute of Gastroenterology, Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Disease, the Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Shaoyong Peng
- Guangdong Institute of Gastroenterology, Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Disease, the Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Meijin Huang
- Guangdong Institute of Gastroenterology, Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Disease, the Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China.,Department of Colorectal Surgery, the Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Guangwen Cao
- Department of Epidemiology, Second Military Medical University, Shanghai, China
| | - Andrew M Kaz
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, Washington.,Gastroenterology Section, VA Puget Sound Health Care System, Seattle, Washington.,Department of Medicine, University of Washington School of Medicine, Seattle, Washington
| | - William M Grady
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, Washington.,Department of Medicine, University of Washington School of Medicine, Seattle, Washington
| | - Jianping Wang
- Guangdong Institute of Gastroenterology, Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Disease, the Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China.,Department of Colorectal Surgery, the Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Yanxin Luo
- Guangdong Institute of Gastroenterology, Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Disease, the Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China. .,Department of Colorectal Surgery, the Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China
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41
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Johnstone SE, Reyes A, Qi Y, Adriaens C, Hegazi E, Pelka K, Chen JH, Zou LS, Drier Y, Hecht V, Shoresh N, Selig MK, Lareau CA, Iyer S, Nguyen SC, Joyce EF, Hacohen N, Irizarry RA, Zhang B, Aryee MJ, Bernstein BE. Large-Scale Topological Changes Restrain Malignant Progression in Colorectal Cancer. Cell 2020; 182:1474-1489.e23. [PMID: 32841603 PMCID: PMC7575124 DOI: 10.1016/j.cell.2020.07.030] [Citation(s) in RCA: 109] [Impact Index Per Article: 27.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2019] [Revised: 05/04/2020] [Accepted: 07/20/2020] [Indexed: 02/06/2023]
Abstract
Widespread changes to DNA methylation and chromatin are well documented in cancer, but the fate of higher-order chromosomal structure remains obscure. Here we integrated topological maps for colon tumors and normal colons with epigenetic, transcriptional, and imaging data to characterize alterations to chromatin loops, topologically associated domains, and large-scale compartments. We found that spatial partitioning of the open and closed genome compartments is profoundly compromised in tumors. This reorganization is accompanied by compartment-specific hypomethylation and chromatin changes. Additionally, we identify a compartment at the interface between the canonical A and B compartments that is reorganized in tumors. Remarkably, similar shifts were evident in non-malignant cells that have accumulated excess divisions. Our analyses suggest that these topological changes repress stemness and invasion programs while inducing anti-tumor immunity genes and may therefore restrain malignant progression. Our findings call into question the conventional view that tumor-associated epigenomic alterations are primarily oncogenic.
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Affiliation(s)
- Sarah E Johnstone
- Department of Pathology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02139, USA; Center for Cancer Research, Massachusetts General Hospital, Boston, MA 02129, USA
| | - Alejandro Reyes
- Broad Institute of MIT and Harvard, Cambridge, MA 02139, USA; Department of Data Sciences, Dana Farber Cancer Institute, Boston, MA 02215, USA; Department of Biostatistics, Harvard School of Public Health, Boston, MA 02215, USA
| | - Yifeng Qi
- Broad Institute of MIT and Harvard, Cambridge, MA 02139, USA; Department of Chemistry, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Carmen Adriaens
- Department of Pathology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02139, USA; Center for Cancer Research, Massachusetts General Hospital, Boston, MA 02129, USA
| | - Esmat Hegazi
- Department of Pathology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02139, USA; Center for Cancer Research, Massachusetts General Hospital, Boston, MA 02129, USA
| | - Karin Pelka
- Broad Institute of MIT and Harvard, Cambridge, MA 02139, USA; Center for Cancer Research, Massachusetts General Hospital, Boston, MA 02129, USA
| | - Jonathan H Chen
- Department of Pathology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02139, USA; Center for Cancer Research, Massachusetts General Hospital, Boston, MA 02129, USA
| | - Luli S Zou
- Broad Institute of MIT and Harvard, Cambridge, MA 02139, USA; Department of Data Sciences, Dana Farber Cancer Institute, Boston, MA 02215, USA; Department of Biostatistics, Harvard School of Public Health, Boston, MA 02215, USA
| | - Yotam Drier
- The Lautenberg Center for Immunology and Cancer Research, The Hebrew University, Jerusalem, Israel
| | - Vivian Hecht
- Broad Institute of MIT and Harvard, Cambridge, MA 02139, USA
| | - Noam Shoresh
- Broad Institute of MIT and Harvard, Cambridge, MA 02139, USA
| | - Martin K Selig
- Department of Pathology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
| | - Caleb A Lareau
- Department of Pathology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02139, USA; Program in Biological and Biomedical Sciences, Harvard Medical School, Boston, MA 02215, USA
| | - Sowmya Iyer
- Department of Pathology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
| | - Son C Nguyen
- Department of Genetics, Penn Epigenetics Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Eric F Joyce
- Department of Genetics, Penn Epigenetics Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Nir Hacohen
- Broad Institute of MIT and Harvard, Cambridge, MA 02139, USA; Center for Cancer Research, Massachusetts General Hospital, Boston, MA 02129, USA
| | - Rafael A Irizarry
- Broad Institute of MIT and Harvard, Cambridge, MA 02139, USA; Department of Data Sciences, Dana Farber Cancer Institute, Boston, MA 02215, USA; Department of Biostatistics, Harvard School of Public Health, Boston, MA 02215, USA
| | - Bin Zhang
- Broad Institute of MIT and Harvard, Cambridge, MA 02139, USA; Department of Chemistry, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Martin J Aryee
- Department of Pathology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02139, USA; Center for Cancer Research, Massachusetts General Hospital, Boston, MA 02129, USA; Department of Biostatistics, Harvard School of Public Health, Boston, MA 02215, USA.
| | - Bradley E Bernstein
- Department of Pathology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02139, USA; Center for Cancer Research, Massachusetts General Hospital, Boston, MA 02129, USA.
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Nwanaji-Enwerem JC, Colicino E, Specht AJ, Gao X, Wang C, Vokonas P, Weisskopf MG, Boyer EW, Baccarelli AA, Schwartz J. Individual species and cumulative mixture relationships of 24-hour urine metal concentrations with DNA methylation age variables in older men. ENVIRONMENTAL RESEARCH 2020; 186:109573. [PMID: 32361261 PMCID: PMC7363532 DOI: 10.1016/j.envres.2020.109573] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/07/2020] [Revised: 04/19/2020] [Accepted: 04/21/2020] [Indexed: 05/16/2023]
Abstract
BACKGROUND Globally, toxic metal exposures are a well-recognized risk factor for many adverse health outcomes. DNA methylation-based measures of biological aging are predictive of disease, but have poorly understood relationships with metal exposures. OBJECTIVE We performed a pilot study examining the relationships of 24-h urine metal concentrations with three novel DNA methylation-based measures of biological aging: DNAmAge, GrimAge, and PhenoAge. METHODS We utilized a previously established urine panel of five common metals [arsenic (As), cadmium (Cd), lead (Pb), manganese (Mn), and mercury (Hg)] found in a subset of the elderly US Veterans Affairs Normative Aging Study cohort (N = 48). The measures of DNA methylation-based biological age were calculated using CpG sites on the Illumina HumanMethylation450 BeadChip. Bayesian Kernel Machine Regression (BKMR) was used to determine metals most important to the aging outcomes and the relationship of the cumulative metal mixture with the outcomes. Individual relationships of important metals with the biological aging outcomes were modeled using fully-adjusted linear models controlling for chronological age, renal function, and lifestyle/environmental factors. RESULTS Mn was selected as important to PhenoAge. A 1 ng/mL increase in urine Mn was associated with a 9.93-year increase in PhenoAge (95%CI: 1.24, 18.61, p = 0.03). The cumulative urine metal mixture was associated with increases in PhenoAge. Compared to a model where each metal in the mixture is set to its 50th percentile value, every one-unit increase of the cumulative mixture with each metal at its 70th percentile was associated with a 2.53-year increase in PhenoAge (95%CI: 0.10, 4.96, P<0.05). CONCLUSION Our results add novel evidence that metals detected in urine are associated with increases in biological aging and suggest that these DNA methylation-based measures may be useful for identifying individuals at-risk for diseases related to toxic metal exposures. Further research is necessary to confirm these findings more broadly.
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Affiliation(s)
- Jamaji C Nwanaji-Enwerem
- Belfer Center for Science and International Affairs, Harvard Kennedy School of Government, Department of Environmental Health, Harvard T.H. Chan School of Public Health, and MD/PhD Program, Harvard Medical School, Boston, MA, USA.
| | - Elena Colicino
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Aaron J Specht
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Xu Gao
- Department of Environmental Health Sciences, Columbia Mailman School of Public Health, New York, NY, USA
| | - Cuicui Wang
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Pantel Vokonas
- VA Normative Aging Study, Veterans Affairs Boston Healthcare System and the Department of Medicine, Boston University School of Medicine, Boston, MA, USA
| | - Marc G Weisskopf
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Edward W Boyer
- Division of Medical Toxicology, Department of Emergency Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Andrea A Baccarelli
- Department of Environmental Health Sciences, Columbia Mailman School of Public Health, New York, NY, USA
| | - Joel Schwartz
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
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Nwanaji-Enwerem JC, Jenkins TG, Colicino E, Cardenas A, Baccarelli AA, Boyer EW. Serum dioxin levels and sperm DNA methylation age: Findings in Vietnam war veterans exposed to Agent Orange. Reprod Toxicol 2020; 96:27-35. [PMID: 32522586 DOI: 10.1016/j.reprotox.2020.06.004] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2020] [Revised: 05/31/2020] [Accepted: 06/03/2020] [Indexed: 02/07/2023]
Abstract
Exposure to dioxin, a known endocrine disruptor and carcinogen, is associated with poor reproductive outcomes. Yet, few studies have explored the role of DNA methylation in these relationships. Utilizing a publicly available dataset from 37 male Air Force Health Study participants exposed to dioxin-contaminated Agent Orange during the Vietnam war, we cross-sectionally examined the relationship of serum dioxin levels with a novel DNA methylation-based measure of sperm age (DNAm-agesperm). DNAm-agesperm was calculated using CpG sites on the Illumina HumanMethylation450 BeadChip. We estimated associations of dioxin levels with DNAm-agesperm using linear regression models adjusted for chronological age, body mass index, and smoking status. Chronological age was highly correlated with DNAmagesperm (r = 0.80). In fully-adjusted linear models, a one percent increase in serum dioxin levels was significantly associated with a 0.0126-year (i.e. 4.6-day) increase in DNAm-agesperm (95%CI: 0.003, 0.022, p = 0.01). Further analyses demonstrated significant negative associations of dioxin levels (β = -0.0005, 95%CI: -0.0010, 0.00004, P = 0.03) and DNAm-agesperm (β = -0.02, 95%CI: -0.04, -0.001, P = 0.03) with methylation levels of FOXK2 - a gene previously reported to be hypomethylated in infertile men. In sum, we demonstrate associations of dioxin with increased methylation aging of sperm. DNAm-agesperm may provide utility for understanding how dioxin levels impact sperm health and potentially male reproductive capacity in human population studies. Moreover, our pilot study contributes further evidence that some environmental toxicants are associated with methylation aging. Additional studies are necessary to confirm these findings, and better characterize dioxin and sperm methylation relationships with male reproductive health.
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Affiliation(s)
- Jamaji C Nwanaji-Enwerem
- Belfer Center for Science and International Affairs, Harvard Kennedy School of Government, Department of Environmental Health, Harvard T.H. Chan School of Public Health, and MD/PhD Program, Harvard Medical School, Boston, MA, USA.
| | - Timothy G Jenkins
- Department of Physiology and Developmental Biology, Brigham Young University, Provo, UT, USA
| | - Elena Colicino
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Andres Cardenas
- Division of Environmental Health Sciences, School of Public Health, University of California, Berkeley, Berkeley, CA, USA
| | - Andrea A Baccarelli
- Department of Environmental Health Sciences, Columbia Mailman School of Public Health, New York, NY, USA
| | - Edward W Boyer
- Division of Medical Toxicology, Department of Emergency Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
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Chen H, Luo J, Guo J. Development and validation of a five-immune gene prognostic risk model in colon cancer. BMC Cancer 2020; 20:395. [PMID: 32375704 PMCID: PMC7204296 DOI: 10.1186/s12885-020-06799-0] [Citation(s) in RCA: 43] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2020] [Accepted: 03/27/2020] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND Colon cancer is a common and highly malignant cancer. Its morbidity is rapidly increasing, and its prognosis is poor. Currently, immunotherapy is a rapidly developing therapeutic modality of colon cancer. This study aimed to construct a prognostic risk model based on immune genes for the early diagnosis and accurate prognostic prediction of colon cancer. METHODS Transcriptomic data and clinical data were downloaded from The Cancer Genome Atlas database. Immune genes were obtained from the ImmPort database. Differentially expressed (DE) immune genes between 473 colon cancer and 41 adjacent normal tissues were identified. The entire cohort was randomly divided into the training and testing cohort. The training cohort was used to construct the prognostic model. The testing and entire cohorts were used to validate the model. The clinical utility of the model and its correlation with immune cell infiltration were analyzed. RESULTS A total of 333 DE immune genes (176 up-regulated and 157 down-regulated) were detected. We developed and validated a five-immune gene model of colon cancer, including LBP, TFR2, UCN, UTS2, and MC1R. This model was approved to be an independent prognostic variable, which was more accurate than age and the pathological stage for predicting overall survival at five years. Besides, as the risk score increased, the content of CD8+ T cells in colon cancer was decreased. CONCLUSIONS We developed and validated a five-immune gene model of colon cancer, including LBP, TFR2, UCN, UTS2, and MC1R. This model could be used as an instrumental variable in the prognosis prediction of colon cancer.
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Affiliation(s)
- Haitao Chen
- Department of Orthopedic Surgery, Zhongnan Hospital of Wuhan University, Wuhan, 430071 China
| | - Jun Luo
- Department of Pathology, Zhongnan Hospital of Wuhan University, Wuhan, 430071 China
- Wuhan University Center for Pathology and Molecular Diagnostics, Wuhan, 430071 China
| | - Jianchun Guo
- Department of Pathology, Zhongnan Hospital of Wuhan University, Wuhan, 430071 China
- Wuhan University Center for Pathology and Molecular Diagnostics, Wuhan, 430071 China
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Genome-Wide Open Chromatin Methylome Profiles in Colorectal Cancer. Biomolecules 2020; 10:biom10050719. [PMID: 32380793 PMCID: PMC7277229 DOI: 10.3390/biom10050719] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2020] [Revised: 04/25/2020] [Accepted: 04/29/2020] [Indexed: 12/24/2022] Open
Abstract
The methylome of open chromatins was investigated in colorectal cancer (CRC) to explore cancer-specific methylation and potential biomarkers. Epigenome-wide methylome of open chromatins was studied in colorectal cancer tissues using the Infinium DNA MethylationEPIC assay. Differentially methylated regions were identified using the ChAMP Bioconductor. Our stringent analysis led to the discovery of 2187 significant differentially methylated open chromatins in CRCs. More hypomethylated probes were observed and the trend was similar across all chromosomes. The majority of hyper- and hypomethylated probes in open chromatin were in chromosome 1. Our unsupervised hierarchical clustering analysis showed that 40 significant differentially methylated open chromatins were able to segregate CRC from normal colonic tissues. Receiver operating characteristic analyses from the top 40 probes revealed several significant, highly discriminative, specific and sensitive probes such as OPLAH cg26256223, EYA4 cg01328892, and CCNA1 cg11513637, among others. OPLAH cg26256223 hypermethylation is associated with reduced gene expression in the CRC. This study reports many open chromatin loci with novel differential methylation statuses, some of which with the potential as candidate markers for diagnostic purposes.
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Age-Related and Gender-Related Increases in Colorectal Cancer Mortality Rates in Brazil Between 1979 and 2015: Projections for Continuing Rises in Disease. J Gastrointest Cancer 2020; 52:280-288. [PMID: 32248507 PMCID: PMC7900022 DOI: 10.1007/s12029-020-00399-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
Purpose Brazil is the largest country in South America. Although a developing nation, birth rates have been decreasing in the last few decades, while its overall population is undergoing lifestyle changes and ageing significantly. Moreover, Brazil has had increasingly high mortality rates related to colorectal cancer (CRC). Herein, we investigated whether the Brazilian population is exhibiting increasing mortality rates related to colon cancer (CC) or rectal cancer (RC) in recent years. Methods We examined data from the Brazilian Federal Government from 1979 to 2015 to determine whether CRC mortality and the population ageing process may be associated. Results Our mathematical modelling suggests that mortality rates related to CC and RC events in the Brazilian population may increase by 79% and 66% in the next 24 years, respectively. This finding led us to explore the mortality rates for both diseases in the country, and we observed that the highest levels were in the south and southeast regions from the year 2000 onwards. CC events appear to decrease life expectancy among people during their second decade of life in recent years, whereas RC events induced decreases in life expectancy in those aged >30 years. Additionally, both CC and RC events seem to promote significant mortality rates in the male population aged > 60 years and living in the southern states. Conclusion Our dataset suggests that both CC and RC events may lead to a significantly increasing number of deaths in the Brazilian male population in coming years.
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