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Li NN, Lun DX, Gong N, Meng G, Du XY, Wang H, Bao X, Li XY, Song JW, Hu K, Li L, Li SY, Liu W, Zhu W, Zhang Y, Li J, Yao T, Mou L, Han X, Hao F, Hu Y, Liu L, Zhu H, Wu Y, Liu B. Targeting the chromatin structural changes of antitumor immunity. J Pharm Anal 2024; 14:100905. [PMID: 38665224 PMCID: PMC11043877 DOI: 10.1016/j.jpha.2023.11.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2023] [Revised: 09/28/2023] [Accepted: 11/21/2023] [Indexed: 04/28/2024] Open
Abstract
Epigenomic imbalance drives abnormal transcriptional processes, promoting the onset and progression of cancer. Although defective gene regulation generally affects carcinogenesis and tumor suppression networks, tumor immunogenicity and immune cells involved in antitumor responses may also be affected by epigenomic changes, which may have significant implications for the development and application of epigenetic therapy, cancer immunotherapy, and their combinations. Herein, we focus on the impact of epigenetic regulation on tumor immune cell function and the role of key abnormal epigenetic processes, DNA methylation, histone post-translational modification, and chromatin structure in tumor immunogenicity, and introduce these epigenetic research methods. We emphasize the value of small-molecule inhibitors of epigenetic modulators in enhancing antitumor immune responses and discuss the challenges of developing treatment plans that combine epigenetic therapy and immunotherapy through the complex interaction between cancer epigenetics and cancer immunology.
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Affiliation(s)
- Nian-nian Li
- Weifang People's Hospital, Weifang, Shandong, 261000, China
- School of Life Sciences, Nankai University, Tianjin, 300071, China
| | - Deng-xing Lun
- Weifang People's Hospital, Weifang, Shandong, 261000, China
| | - Ningning Gong
- Weifang Traditional Chinese Medicine Hospital, Weifang, Shandong, 261000, China
| | - Gang Meng
- Shaanxi Key Laboratory of Sericulture, Ankang University, Ankang, Shaanxi, 725000, China
| | - Xin-ying Du
- Weifang People's Hospital, Weifang, Shandong, 261000, China
| | - He Wang
- Weifang People's Hospital, Weifang, Shandong, 261000, China
| | - Xiangxiang Bao
- Weifang People's Hospital, Weifang, Shandong, 261000, China
| | - Xin-yang Li
- Guizhou Education University, Guiyang, 550018, China
| | - Ji-wu Song
- Weifang People's Hospital, Weifang, Shandong, 261000, China
| | - Kewei Hu
- Weifang Traditional Chinese Medicine Hospital, Weifang, Shandong, 261000, China
| | - Lala Li
- Guizhou Normal University, Guiyang, 550025, China
| | - Si-ying Li
- Weifang People's Hospital, Weifang, Shandong, 261000, China
| | - Wenbo Liu
- Weifang People's Hospital, Weifang, Shandong, 261000, China
| | - Wanping Zhu
- Weifang People's Hospital, Weifang, Shandong, 261000, China
| | - Yunlong Zhang
- School of Medical Imaging, Weifang Medical University, Weifang, Shandong, 261053, China
| | - Jikai Li
- Department of Bone and Soft Tissue Oncology, Tianjin Hospital, Tianjin, 300299, China
| | - Ting Yao
- School of Life Sciences, Nankai University, Tianjin, 300071, China
- Teda Institute of Biological Sciences & Biotechnology, Nankai University, Tianjin, 300457, China
| | - Leming Mou
- Weifang People's Hospital, Weifang, Shandong, 261000, China
| | - Xiaoqing Han
- Weifang People's Hospital, Weifang, Shandong, 261000, China
| | - Furong Hao
- Weifang People's Hospital, Weifang, Shandong, 261000, China
| | - Yongcheng Hu
- Weifang People's Hospital, Weifang, Shandong, 261000, China
| | - Lin Liu
- School of Life Sciences, Nankai University, Tianjin, 300071, China
| | - Hongguang Zhu
- Weifang People's Hospital, Weifang, Shandong, 261000, China
| | - Yuyun Wu
- Xinqiao Hospital of Army Military Medical University, Chongqing, 400038, China
| | - Bin Liu
- Weifang People's Hospital, Weifang, Shandong, 261000, China
- School of Life Sciences, Nankai University, Tianjin, 300071, China
- Teda Institute of Biological Sciences & Biotechnology, Nankai University, Tianjin, 300457, China
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2
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Liu S, de Medeiros MC, Fernandez EM, Zarins KR, Cavalcante RG, Qin T, Wolf GT, Figueroa ME, D'Silva NJ, Rozek LS, Sartor MA. 5-Hydroxymethylation highlights the heterogeneity in keratinization and cell junctions in head and neck cancers. Clin Epigenetics 2020; 12:175. [PMID: 33203436 PMCID: PMC7672859 DOI: 10.1186/s13148-020-00965-8] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2020] [Accepted: 11/03/2020] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND Head and neck squamous cell carcinoma (HNSCC) is the sixth most prevalent cancer worldwide, with human papillomavirus (HPV)-related HNSCC rising to concerning levels. Extensive clinical, genetic and epigenetic differences exist between HPV-associated HNSCC and HPV-negative HNSCC, which is often linked to tobacco use. However, 5-hydroxymethylation (5hmC), an oxidative derivative of DNA methylation and its heterogeneity among HNSCC subtypes, has not been studied. RESULTS We characterized genome-wide 5hmC profiles in HNSCC by HPV status and subtype in 18 HPV(+) and 18 HPV(-) well-characterized tumors. Results showed significant genome-wide hyper-5hmC in HPV(-) tumors, with both promoter and enhancer 5hmC able to distinguish meaningful tumor subgroups. We identified specific genes whose differential expression by HPV status is driven by differential hydroxymethylation. CDKN2A (p16), used as a key biomarker for HPV status, exhibited the most extensive hyper-5hmC in HPV(+) tumors, while HPV(-) tumors showed hyper-5hmC in CDH13, TIMP2, MMP2 and other cancer-related genes. Among the previously reported two HPV(+) subtypes, IMU (stronger immune response) and KRT (more keratinization), the IMU subtype revealed hyper-5hmC and up-regulation of genes in cell migration, and hypo-5hmC with down-regulation in keratinization and cell junctions. We experimentally validated our key prediction of higher secreted and intracellular protein levels of the invasion gene MMP2 in HPV(-) oral cavity cell lines. CONCLUSION Our results implicate 5hmC in driving differences in keratinization, cell junctions and other cancer-related processes among tumor subtypes. We conclude that 5hmC levels are critical for defining tumor characteristics and potentially used to define clinically meaningful cancer patient subgroups.
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Affiliation(s)
- Siyu Liu
- Department of Computational Medicine and Bioinformatics, University of Michigan, 100 Washtenaw Ave., Ann Arbor, MI, 48109-2218, USA
| | | | - Evan M Fernandez
- Department of Computational Medicine and Bioinformatics, University of Michigan, 100 Washtenaw Ave., Ann Arbor, MI, 48109-2218, USA
| | - Katie R Zarins
- Department of Environmental Health Sciences, University of Michigan, Ann Arbor, MI, 48109, USA
| | | | - Tingting Qin
- Department of Computational Medicine and Bioinformatics, University of Michigan, 100 Washtenaw Ave., Ann Arbor, MI, 48109-2218, USA
| | - Gregory T Wolf
- Department of Otolaryngology-Head and Neck Surgery, Michigan Medicine, Ann Arbor, MI, 48109, USA
| | - Maria E Figueroa
- Department of Human Genetics and Sylvester Comprehensive Cancer Center, Miller School of Medicine, University of Miami, Miami, FL, 33136, USA
| | - Nisha J D'Silva
- Department of Periodontics and Oral Medicine, University of Michigan, Ann Arbor, MI, 48104, USA
| | - Laura S Rozek
- Department of Environmental Health Sciences, University of Michigan, Ann Arbor, MI, 48109, USA
| | - Maureen A Sartor
- Department of Computational Medicine and Bioinformatics, University of Michigan, 100 Washtenaw Ave., Ann Arbor, MI, 48109-2218, USA. .,Department of Biostatistics, University of Michigan, Ann Arbor, MI, 48109, USA.
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HMST-Seq-Analyzer: A new python tool for differential methylation and hydroxymethylation analysis in various DNA methylation sequencing data. Comput Struct Biotechnol J 2020; 18:2877-2889. [PMID: 33163148 PMCID: PMC7593523 DOI: 10.1016/j.csbj.2020.09.038] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2020] [Revised: 09/26/2020] [Accepted: 09/27/2020] [Indexed: 12/04/2022] Open
Abstract
DNA methylation (5mC) and hydroxymethylation (5hmC) are chemical modifications of cytosine bases which play a crucial role in epigenetic gene regulation. However, cost, data complexity and unavailability of comprehensive analytical tools is one of the major challenges in exploring these epigenetic marks. Hydroxymethylation-and Methylation-Sensitive Tag sequencing (HMST-seq) is one of the most cost-effective techniques that enables simultaneous detection of 5mC and 5hmC at single base pair resolution. We present HMST-Seq-Analyzer as a comprehensive and robust method for performing simultaneous differential methylation analysis on 5mC and 5hmC data sets. HMST-Seq-Analyzer can detect Differentially Methylated Regions (DMRs), annotate them, give a visual overview of methylation status and also perform preliminary quality check on the data. In addition to HMST-Seq, our tool can be used on whole-genome bisulfite sequencing (WGBS) and reduced representation bisulfite sequencing (RRBS) data sets as well. The tool is written in Python with capacity to process data in parallel and is available at (https://hmst-seq.github.io/hmst/).
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Su SY, Lu IH, Cheng WC, Chung WC, Chen PY, Ho JM, Chen SH, Lin CY. EpiMOLAS: an intuitive web-based framework for genome-wide DNA methylation analysis. BMC Genomics 2020; 21:163. [PMID: 32241255 PMCID: PMC7114791 DOI: 10.1186/s12864-019-6404-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2019] [Accepted: 12/16/2019] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND DNA methylation is a crucial epigenomic mechanism in various biological processes. Using whole-genome bisulfite sequencing (WGBS) technology, methylated cytosine sites can be revealed at the single nucleotide level. However, the WGBS data analysis process is usually complicated and challenging. RESULTS To alleviate the associated difficulties, we integrated the WGBS data processing steps and downstream analysis into a two-phase approach. First, we set up the required tools in Galaxy and developed workflows to calculate the methylation level from raw WGBS data and generate a methylation status summary, the mtable. This computation environment is wrapped into the Docker container image DocMethyl, which allows users to rapidly deploy an executable environment without tedious software installation and library dependency problems. Next, the mtable files were uploaded to the web server EpiMOLAS_web to link with the gene annotation databases that enable rapid data retrieval and analyses. CONCLUSION To our knowledge, the EpiMOLAS framework, consisting of DocMethyl and EpiMOLAS_web, is the first approach to include containerization technology and a web-based system for WGBS data analysis from raw data processing to downstream analysis. EpiMOLAS will help users cope with their WGBS data and also conduct reproducible analyses of publicly available data, thereby gaining insights into the mechanisms underlying complex biological phenomenon. The Galaxy Docker image DocMethyl is available at https://hub.docker.com/r/lsbnb/docmethyl/. EpiMOLAS_web is publicly accessible at http://symbiosis.iis.sinica.edu.tw/epimolas/.
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Affiliation(s)
- Sheng-Yao Su
- Taiwan International Graduate Program (TIGP) on Bioinformatics, Academia Sinica, Taipei, Taiwan
- Institute of Information Science, Academia Sinica, Taipei, Taiwan
- Institute of Biomedical Informatics, National Yang-Ming University, Taipei, Taiwan
| | - I-Hsuan Lu
- Institute of Information Science, Academia Sinica, Taipei, Taiwan
| | - Wen-Chih Cheng
- Institute of Population Health Sciences, National Health Research Institutes, Zhunan Miaoli, Taiwan
| | - Wei-Chun Chung
- Institute of Information Science, Academia Sinica, Taipei, Taiwan
| | - Pao-Yang Chen
- Institute of Plant and Microbial Biology, Academia Sinica, Taipei, Taiwan
| | - Jan-Ming Ho
- Institute of Information Science, Academia Sinica, Taipei, Taiwan
| | - Shu-Hwa Chen
- TMU Research Center of Cancer Translational Medicine, Taipei Medical University, Taipei, Taiwan
| | - Chung-Yen Lin
- Institute of Information Science, Academia Sinica, Taipei, Taiwan
- Institute of Population Health Sciences, National Health Research Institutes, Zhunan Miaoli, Taiwan
- Institute of Fisheries Science, College of Life Science, National Taiwan University, Taipei, Taiwan
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Ai Y, Xing J, Zhang A, Zhao C, Liu Y, Xie B, Chen W, Cui G, Lu Z, Wang X. Computational Study on the Excited-State Decay of 5-Methylcytosine and 5-Hydroxymethylcytosine: The Common Form of DNA Methylation and Its Oxidation Product. J Phys Chem B 2018; 122:10424-10434. [DOI: 10.1021/acs.jpcb.8b07830] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Affiliation(s)
| | | | | | | | | | - Binbin Xie
- Hangzhou Institute of Advanced Studies, Zhejiang Normal University, 1108 Gengwen Road, Hangzhou 311231, Zhejiang, P. R. China
| | | | - Ganglong Cui
- Key Laboratory of Theoretical and Computational Photochemistry, Ministry of Education, College of Chemistry, Beijing Normal University, Beijing 100875, P. R. China
| | | | - Xiangke Wang
- NAAM Research Group, Faculty of Science, King Abdulaziz University, Jeddah 21589, Saudi Arabia
- Collaborative Innovation Centre of Radiation Medicine of Jiangsu Higher Education Institutions, School for Radiological and Interdisciplinary Sciences, Soochow University, Suzhou 215123, P. R. China
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Kochmanski J, Marchlewicz EH, Cavalcante RG, Sartor MA, Dolinoy DC. Age-related epigenome-wide DNA methylation and hydroxymethylation in longitudinal mouse blood. Epigenetics 2018; 13:779-792. [PMID: 30079798 PMCID: PMC6224215 DOI: 10.1080/15592294.2018.1507198] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2018] [Revised: 07/13/2018] [Accepted: 07/25/2018] [Indexed: 01/10/2023] Open
Abstract
DNA methylation at cytosine-phosphate-guanine (CpG) dinucleotides changes as a function of age in humans and animal models, a process that may contribute to chronic disease development. Recent studies have investigated the role of an oxidized form of DNA methylation - 5-hydroxymethylcytosine (5hmC) - in the epigenome, but its contribution to age-related DNA methylation remains unclear. We tested the hypothesis that 5hmC changes with age, but in a direction opposite to 5-methylcytosine (5mC), potentially playing a distinct role in aging. To characterize epigenetic aging, genome-wide 5mC and 5hmC were measured in longitudinal blood samples (2, 4, and 10 months of age) from isogenic mice using two sequencing methods - enhanced reduced representation bisulfite sequencing and hydroxymethylated DNA immunoprecipitation sequencing. Examining the epigenome by age, we identified 28,196 unique differentially methylated CpGs (DMCs) and 8,613 differentially hydroxymethylated regions (DHMRs). Mouse blood showed a general pattern of epigenome-wide hypermethylation and hypo-hydroxymethylation with age. Comparing age-related DMCs and DHMRs, 1,854 annotated genes showed both differential 5mC and 5hmC, including one gene - Nfic - at five CpGs in the same 250 bp chromosomal region. At this region, 5mC and 5hmC levels both decreased with age. Reflecting these age-related epigenetic changes, Nfic RNA expression in blood decreased with age, suggesting that age-related regulation of this gene may be driven by 5hmC, not canonical DNA methylation. Combined, our genome-wide results show age-related differential 5mC and 5hmC, as well as some evidence that changes in 5hmC may drive age-related DNA methylation and gene expression.
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Affiliation(s)
- Joseph Kochmanski
- Environmental Health Sciences, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Elizabeth H. Marchlewicz
- Environmental Health Sciences, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Raymond G. Cavalcante
- Department of Computational Medicine and Bioinformatics, Medical School, University of Michigan, Ann Arbor, MI, USA
| | - Maureen A. Sartor
- Department of Computational Medicine and Bioinformatics, Medical School, University of Michigan, Ann Arbor, MI, USA
| | - Dana C. Dolinoy
- Environmental Health Sciences, School of Public Health, University of Michigan, Ann Arbor, MI, USA
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7
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Kochmanski JJ, Marchlewicz EH, Cavalcante RG, Perera BPU, Sartor MA, Dolinoy DC. Longitudinal Effects of Developmental Bisphenol A Exposure on Epigenome-Wide DNA Hydroxymethylation at Imprinted Loci in Mouse Blood. ENVIRONMENTAL HEALTH PERSPECTIVES 2018; 126:077006. [PMID: 30044229 PMCID: PMC6108846 DOI: 10.1289/ehp3441] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/31/2018] [Revised: 06/04/2018] [Accepted: 06/15/2018] [Indexed: 05/17/2023]
Abstract
BACKGROUND Epigenetic machinery plays an important role in genomic imprinting, a developmental process that establishes parent-of-origin-specific monoallelic gene expression. Although a number of studies have investigated the role of 5-methylcytosine in imprinting control, the contribution of 5-hydroxymethylcytosine (5-hmC) to this epigenetic phenomenon remains unclear. OBJECTIVES Using matched mouse blood samples (from mice at 2, 4, and 10 months of age), our objective was to examine the effects of perinatal bisphenol A (BPA) exposure (50 μg/kg diet) on longitudinal 5-hmC patterns at imprinted regions. We also aimed to test the hypothesis that 5-hmC would show defined patterns at imprinted genes that persist across the life course. METHODS Genome-wide 5-hmC levels were measured using hydroxymethylated DNA immunoprecipitation sequencing (HMeDIP-seq). Modeling of differential hydroxymethylation by BPA exposure was performed using a pipeline of bioinformatics tools, including the csaw R package. RESULTS Based on BPA exposure, we identified 5,950 differentially hydroxymethylated regions (DHMRs), including 12 DHMRs that were annotated to murine imprinted genes—Gnas, Grb10, Plagl1, Klf14, Pde10a, Snrpn, Airn, Cmah, Ppp1r9a, Kcnq1, Phactr2, and Pde4d. When visualized, these imprinted gene DHMRs showed clear, consistent patterns of differential 5-hmC by developmental BPA exposure that persisted throughout adulthood. CONCLUSIONS These data show long-term establishment of 5-hmC marks at imprinted loci during development. Further, the effect of perinatal BPA exposure on 5-hmC at specific imprinted loci indicates that developmental exposure to environmental toxicants may alter long-term imprinted gene regulation via an epigenetic mechanism. https://doi.org/10.1289/EHP3441.
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Affiliation(s)
- Joseph J Kochmanski
- Department of Environmental Health Sciences, University of Michigan School of Public Health, Ann Arbor, Michigan, USA
| | - Elizabeth H Marchlewicz
- Department of Environmental Health Sciences, University of Michigan School of Public Health, Ann Arbor, Michigan, USA
| | - Raymond G Cavalcante
- Department of Computational Medicine and Bioinformatics, University of Michigan Medical School, Ann Arbor, Michigan, USA
| | - Bambarendage P U Perera
- Department of Environmental Health Sciences, University of Michigan School of Public Health, Ann Arbor, Michigan, USA
| | - Maureen A Sartor
- Department of Computational Medicine and Bioinformatics, University of Michigan Medical School, Ann Arbor, Michigan, USA
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, Michigan, USA
| | - Dana C Dolinoy
- Department of Environmental Health Sciences, University of Michigan School of Public Health, Ann Arbor, Michigan, USA
- Department of Nutritional Sciences, University of Michigan School of Public Health, Ann Arbor, Michigan, USA
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