1
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Feng Y, Wang Y. Comparison of the classifiers based on mRNA, microRNA and lncRNA expression and DNA methylation profiles for the tumor origin detection. Front Genet 2024; 15:1383852. [PMID: 38933920 PMCID: PMC11199677 DOI: 10.3389/fgene.2024.1383852] [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: 02/08/2024] [Accepted: 05/16/2024] [Indexed: 06/28/2024] Open
Abstract
Background Tumor tissue origin detection is of great importance in determining the appropriate course of treatment for cancer patients. Classifiers based on gene expression and DNA methylation profiles have been confirmed to be feasible and reliable to predict the tumor primary. However, few works have been performed to compare the performance of these classifiers based on different profiles. Methods Using gene expression and DNA methylation profiles from The Cancer Genome Atlas (TCGA) project, eight machine learning methods were employed for the tumor tissue origin detection. We then evaluated the predictive performance using DNA methylation, mRNA, microRNA (miRNA) and long non-coding RNA (lncRNA) expression profiles in a comparative manner. A statistical method was introduced to select the most informative CpG sites. Results We found that LASSO is the most predictive models based on various profiles. Further analyses indicated that the results derived from DNA methylation (overall accuracy: 97.77%) are better than those derived from mRNA expression (overall accuracy: 88.01%), microRNA expression (overall accuracy: 91.03%) and lncRNA expression (overall accuracy: 95.7%). It has been suggested that we can achieve an overall accuracy >90% using only 1,000 methylated CpG sites for prediction. Conclusion In this work, we comprehensively evaluated the performance of classifiers based on different profiles for the tumor origin detection. Our findings demonstrated the effectiveness of DNA methylation as biomarker for tracing tumor tissue origin using LASSO and neural network.
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Affiliation(s)
| | - Yilin Wang
- Department of Hepatic Surgery, Fudan University Shanghai Cancer Center, Shanghai Medical College, Fudan University, Shanghai, China
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2
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Lee SY, Oh TJ, An S, Lee SH. Overexpression of Hypermethylated Homeobox A11 (HOXA11) Inhibits Tumor Cell Growth and Induces Apoptosis in Cervical Cancer. Dev Reprod 2024; 28:37-45. [PMID: 39055103 PMCID: PMC11268892 DOI: 10.12717/dr.2024.28.2.37] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2024] [Revised: 04/11/2024] [Accepted: 05/16/2024] [Indexed: 07/27/2024]
Abstract
This study aimed to elucidate the potential of Homeobox A11 (HOXA11) as a therapeutic target and a diagnostic methylation marker for cervical cancer. Gene expression analysis using cDNA microarray in cervical cancer cell lines revealed significantly reduced expression of the HOXA11 gene. Subsequent investigation of HOXA11 promoter methylation in samples from normal individuals and invasive cervical cancer patients showed over 53.2% higher methylation in cancer scrapes compared to normal scrapes. Furthermore, overexpression of HOXA11, which is downregulated in cervical cancer, strongly suppressed cell growth in cervical cancer cell lines, HeLa and HT3. Additionally, we performed transferase dUTP nick end labeling assay and confirmed that the inhibition of cervical cancer cell proliferation occurred via apoptosis. Mechanistically, overexpression of HOXA11 led to mitochondrial apoptosis characterized by PARP cleavage due to increased c-Myc and enhanced cytochrome C secretion into the cytoplasm. These findings suggest that HOXA11 could potentially serve as a methylation marker for diagnosing cervical cancer and as a novel therapeutic target for its treatment.
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Affiliation(s)
| | | | | | - Seung-Hoon Lee
- Department of Life Science, College of
Health Science and Welfare, Yongin University,
Yongin 17092, Korea
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3
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Shin Y, Kim S, An W. Promoter hypermethylation as a novel regulator of ANO1 expression and function in prostate cancer bone metastasis. Sci Rep 2024; 14:11595. [PMID: 38773164 PMCID: PMC11109272 DOI: 10.1038/s41598-024-62478-1] [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: 11/30/2023] [Accepted: 05/17/2024] [Indexed: 05/23/2024] Open
Abstract
Despite growing evidence implicating the calcium-activated chloride channel anoctamin1 (ANO1) in cancer metastasis, its direct impact on the metastatic potential of prostate cancer and the possible significance of epigenetic alteration in this process are not fully understood. Here, we show that ANO1 is minimally expressed in LNCap and DU145 prostate cancer cell lines with low metastatic potential but overexpressed in high metastatic PC3 prostate cancer cell line. The treatment of LNCap and DU145 cells with DNMT inhibitor 5-aza-2'-deoxycytidine (5-Aza-CdR) potentiates ANO1 expression, suggesting that DNA methylation is one of the mechanisms controlling ANO1 expression. Consistent with this notion, hypermethylation was detected at the CpG island of ANO1 promoter region in LNCap and DU145 cells, and 5-Aza-CdR treatment resulted in a drastic demethylation at promoter CpG methylation sites. Upon 5-Aza-CdR treatment, metastatic indexes, such as cell motility, invasion, and metastasis-related gene expression, were significantly altered in LNCap and DU145 cells. These 5-Aza-CdR-induced metastatic hallmarks were, however, almost completely ablated by stable knockdown of ANO1. These in vitro discoveries were further supported by our in vivo observation that ANO1 expression in xenograft mouse models enhances the metastatic dissemination of prostate cancer cells into tibial bone and the development of osteolytic lesions. Collectively, our results help elucidate the critical role of ANO1 expression in prostate cancer bone metastases, which is epigenetically modulated by promoter CpG methylation.
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Affiliation(s)
- Yonghwan Shin
- Department of Biochemistry and Molecular Medicine, Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA, 90033, USA
| | - Sungmin Kim
- Department of Biochemistry and Molecular Medicine, Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA, 90033, USA
| | - Woojin An
- Department of Biochemistry and Molecular Medicine, Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA, 90033, USA.
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4
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Duan N, Hua Y, Yan X, He Y, Zeng T, Gong J, Fu Z, Li W, Yin Y. Unveiling Alterations of Epigenetic Modifications and Chromatin Architecture Leading to Lipid Metabolic Reprogramming during the Evolutionary Trastuzumab Adaptation of HER2-Positive Breast Cancer. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2024; 11:e2309424. [PMID: 38460162 PMCID: PMC11095153 DOI: 10.1002/advs.202309424] [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: 12/04/2023] [Revised: 02/08/2024] [Indexed: 03/11/2024]
Abstract
Secondary trastuzumab resistance represents an evolutionary adaptation of HER2-positive breast cancer during anti-HER2 treatment. Most current studies have tended to prioritize HER2 and its associated signaling pathways, often overlooking broader but seemingly less relevant cellular processes, along with their associated genetic and epigenetic mechanisms. Here, transcriptome data is not only characterized but also examined epigenomic and 3D genome architecture information in both trastuzumab-sensitive and secondary-resistant breast cancer cells. The findings reveal that the global metabolic reprogramming associated with trastuzumab resistance may stem from genome-wide alterations in both histone modifications and chromatin structure. Specifically, the transcriptional activities of key genes involved in lipid metabolism appear to be regulated by variant promoter H3K27me3 and H3K4me3 modifications, as well as promoter-enhancer interactions. These discoveries offer valuable insights into how cancer cells adapt to anti-tumor drugs and have the potential to impact future diagnostic and treatment strategies.
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Affiliation(s)
- Ningjun Duan
- Department of oncologyFirst affiliation hospital of Nanjing medical universityNanjing210029China
| | - Yijia Hua
- Department of oncologyFirst affiliation hospital of Nanjing medical universityNanjing210029China
| | - Xueqi Yan
- Department of oncologyFirst affiliation hospital of Nanjing medical universityNanjing210029China
| | - Yaozhou He
- Department of oncologyFirst affiliation hospital of Nanjing medical universityNanjing210029China
| | - Tianyu Zeng
- Department of oncologyFirst affiliation hospital of Nanjing medical universityNanjing210029China
| | - Jue Gong
- Department of oncologyFirst affiliation hospital of Nanjing medical universityNanjing210029China
| | - Ziyi Fu
- Department of oncologyFirst affiliation hospital of Nanjing medical universityNanjing210029China
| | - Wei Li
- Department of oncologyFirst affiliation hospital of Nanjing medical universityNanjing210029China
| | - Yongmei Yin
- Department of oncologyFirst affiliation hospital of Nanjing medical universityNanjing210029China
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5
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Pitstick L, Goral J, Ciancio MJ, Meyer A, Pytynia M, Bychek S, Zidan S, Shuey J, Jham BC, Green JM. Effects of folate deficiency and sex on carcinogenesis in a mouse model of oral cancer. Oral Dis 2024; 30:1989-2003. [PMID: 37731277 DOI: 10.1111/odi.14728] [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: 04/04/2023] [Revised: 07/20/2023] [Accepted: 08/17/2023] [Indexed: 09/22/2023]
Abstract
OBJECTIVES To investigate the effects of dietary folate and sex on histopathology of oral squamous cell carcinoma in mice. MATERIALS AND METHODS Mice (C57Bl/6, 30/sex) were fed either a deficient folate or sufficient folate diet. Vehicle or 4-nitroquinoline1-oxide (50 μg/mL) in vehicle were administered in drinking water for 20 weeks, followed by 6 weeks of regular drinking water. Oral lesions were observed weekly. Tongues were studied for histopathologic changes. Immunohistochemical techniques were used to measure cell proliferation (Ki67+), and to quantify expression of folate receptor, reduced folate carrier, and proton-coupled folate transporter. T cells, macrophages, and neutrophils were counted and normalized to area. RESULTS All 4NQO-treated mice developed oral tumors. Dietary folate level did not affect tumor burden. More tumors were observed on the ventral aspect of the tongue than in other locations within the oral cavity. 4-nitroquinoline-1-oxide-treated mice displayed 27%-46% significantly lower expression of all three folate transport proteins; diet and sex had no effect on folate transporter expression. T-cell and neutrophil infiltration in tongues were 9.1-fold and 18.1-fold increased in the 4-nitroquinoline-1-oxide-treated mouse tongues than in controls. CONCLUSION Treatment with 4NQO was the primary factor in determining cancer development, decreased folate transport expression, and lymphoid cell infiltration.
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Affiliation(s)
- Lenore Pitstick
- Department of Biochemistry and Molecular Genetics, College of Graduate Studies, Midwestern University, Downers Grove, Illinois, USA
| | - Joanna Goral
- Department of Anatomy, College of Graduate Studies, Midwestern University, Downers Grove, Illinois, USA
| | - Mae J Ciancio
- Biomedical Sciences Program, College of Graduate Studies, Midwestern University, Downers Grove, Illinois, USA
| | - Alice Meyer
- Department of Anatomy, College of Graduate Studies, Midwestern University, Downers Grove, Illinois, USA
| | - Matthew Pytynia
- Biomedical Sciences Program, College of Graduate Studies, Midwestern University, Downers Grove, Illinois, USA
| | - Sofia Bychek
- Biomedical Sciences Program, College of Graduate Studies, Midwestern University, Downers Grove, Illinois, USA
| | - Safia Zidan
- Biomedical Sciences Program, College of Graduate Studies, Midwestern University, Downers Grove, Illinois, USA
| | - Jennifer Shuey
- Chicago College of Osteopathic Medicine, Midwestern University, Downers Grove, Illinois, USA
| | - Bruno C Jham
- College of Dental Medicine-Illinois, Midwestern University, Downers Grove, Illinois, USA
| | - Jacalyn M Green
- Department of Biochemistry and Molecular Genetics, College of Graduate Studies, Midwestern University, Downers Grove, Illinois, USA
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6
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Qin Q, Zhou Y, Guo J, Chen Q, Tang W, Li Y, You J, Li Q. Conserved methylation signatures associate with the tumor immune microenvironment and immunotherapy response. Genome Med 2024; 16:47. [PMID: 38566132 PMCID: PMC10985907 DOI: 10.1186/s13073-024-01318-3] [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: 03/16/2023] [Accepted: 03/20/2024] [Indexed: 04/04/2024] Open
Abstract
BACKGROUND Aberrant DNA methylation is a major characteristic of cancer genomes. It remains unclear which biological processes determine epigenetic reprogramming and how these processes influence the variants in the cancer methylome, which can further impact cancer phenotypes. METHODS We performed pairwise permutations of 381,900 loci in 569 paired DNA methylation profiles of cancer tissue and matched normal tissue from The Cancer Genome Atlas (TCGA) and defined conserved differentially methylated positions (DMPs) based on the resulting null distribution. Then, we derived independent methylation signatures from 2,465 cancer-only methylation profiles from the TCGA and 241 cell line-based methylation profiles from the Genomics of Drug Sensitivity in Cancer (GDSC) cohort using nonnegative matrix factorization (NMF). We correlated DNA methylation signatures with various clinical and biological features, including age, survival, cancer stage, tumor immune microenvironment factors, and immunotherapy response. We inferred the determinant genes of these methylation signatures by integrating genomic and transcriptomic data and evaluated the impact of these signatures on cancer phenotypes in independent bulk and single-cell RNA/methylome cohorts. RESULTS We identified 7,364 differentially methylated positions (2,969 Hyper-DMPs and 4,395 Hypo-DMPs) in nine cancer types from the TCGA. We subsequently retrieved three highly conserved, independent methylation signatures (Hyper-MS1, Hypo-MS1, and Hypo-MS4) from cancer tissues and cell lines based on these Hyper and Hypo-DMPs. Our data suggested that Hypo-MS4 activity predicts poor survival and is associated with immunotherapy response and distant tumor metastasis, and Hypo-MS4 activity is related to TP53 mutation and FOXA1 binding specificity. In addition, we demonstrated a correlation between the activities of Hypo-MS4 in cancer cells and the fractions of regulatory CD4 + T cells with the expression levels of immunological genes in the tumor immune microenvironment. CONCLUSIONS Our findings demonstrated that the methylation signatures of distinct biological processes are associated with immune activity in the cancer microenvironment and predict immunotherapy response.
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Affiliation(s)
- Qingqing Qin
- Department of Hematology, The First Affiliated Hospital of Xiamen University and Institute of Hematology, School of Medicine, Xiamen University, Xiamen, 361003, China
- School of Medicine, National Institute for Data Science in Health and Medicine, Xiamen University, Xiamen, 361102, China
- Department of Pediatrics, Women and Children's Hospital, School of Medicine, Xiamen University, Xiamen, 361003, China
| | - Ying Zhou
- Department of Hematology, The First Affiliated Hospital of Xiamen University and Institute of Hematology, School of Medicine, Xiamen University, Xiamen, 361003, China
- School of Medicine, National Institute for Data Science in Health and Medicine, Xiamen University, Xiamen, 361102, China
- Department of Pediatrics, Women and Children's Hospital, School of Medicine, Xiamen University, Xiamen, 361003, China
| | - Jintao Guo
- Department of Hematology, The First Affiliated Hospital of Xiamen University and Institute of Hematology, School of Medicine, Xiamen University, Xiamen, 361003, China
- School of Medicine, National Institute for Data Science in Health and Medicine, Xiamen University, Xiamen, 361102, China
- Department of Pediatrics, Women and Children's Hospital, School of Medicine, Xiamen University, Xiamen, 361003, China
| | - Qinwei Chen
- Department of Hematology, The First Affiliated Hospital of Xiamen University and Institute of Hematology, School of Medicine, Xiamen University, Xiamen, 361003, China
- School of Medicine, National Institute for Data Science in Health and Medicine, Xiamen University, Xiamen, 361102, China
| | - Weiwei Tang
- Department of Medical Oncology, School of Medicine, The First Affiliated Hospital of Xiamen University and Institute of Hematology, Xiamen University, Xiamen, 361003, China
- Xiamen Key Laboratory of Antitumor Drug Transformation Research, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, The School of Clinical Medicine of Fujian, Medical University, Xiamen, 361003, China
| | - Yuchen Li
- Department of Hematology, The First Affiliated Hospital of Xiamen University and Institute of Hematology, School of Medicine, Xiamen University, Xiamen, 361003, China
- School of Medicine, National Institute for Data Science in Health and Medicine, Xiamen University, Xiamen, 361102, China
- Department of Pediatrics, Women and Children's Hospital, School of Medicine, Xiamen University, Xiamen, 361003, China
| | - Jun You
- Department of Gastrointestinal Oncology Surgery, The First Affiliated Hospital of Xiamen University, Cancer Center, Xiamen, 361003, China
| | - Qiyuan Li
- Department of Hematology, The First Affiliated Hospital of Xiamen University and Institute of Hematology, School of Medicine, Xiamen University, Xiamen, 361003, China.
- School of Medicine, National Institute for Data Science in Health and Medicine, Xiamen University, Xiamen, 361102, China.
- Department of Pediatrics, Women and Children's Hospital, School of Medicine, Xiamen University, Xiamen, 361003, China.
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7
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Dill-McFarland KA, Simmons JD, Peterson GJ, Nguyen FK, Campo M, Benchek P, Stein CM, Vaisar T, Mayanja-Kizza H, Boom WH, Hawn TR. Epigenetic programming of host lipid metabolism associates with resistance to TST/IGRA conversion after exposure to Mycobacterium tuberculosis. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.02.27.582348. [PMID: 38464296 PMCID: PMC10925331 DOI: 10.1101/2024.02.27.582348] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/12/2024]
Abstract
Mycobacterium tuberculosis (Mtb) exposure leads to a range of outcomes including clearance, latent TB infection (LTBI), and pulmonary tuberculosis (TB). Some heavily exposed individuals resist tuberculin skin test (TST) and interferon gamma release assay (IGRA) conversion (RSTR), which suggests that they employ IFNγ-independent mechanisms of Mtb control. Here, we compare monocyte epigenetic profiles of RSTR and LTBI from a Ugandan household contact cohort. Chromatin accessibility did not differ between uninfected RSTR and LTBI monocytes. In contrast, methylation significantly differed at 174 CpG sites and across 63 genomic regions. Consistent with previous transcriptional findings in this cohort, differential methylation was enriched in lipid and cholesterol associated pathways including in the genes APOC3, KCNQ1, and PLA2G3. In addition, methylation was enriched in Hippo signaling, which is associated with cholesterol homeostasis and includes CIT and SHANK2. Lipid export and Hippo signaling pathways were also associated with gene expression in response to Mtb in RSTR as well as IFN stimulation in monocyte-derived macrophages (MDMs) from an independent healthy donor cohort. Moreover, serum-derived HDL from RSTR had elevated ABCA1-mediated cholesterol efflux capacity (CEC) compared to LTBI. Our findings suggest that resistance to TST/IGRA conversion is linked to regulation of lipid accumulation in monocytes, which could facilitate early Mtb clearance among RSTR subjects through IFNγ-independent mechanisms.
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Affiliation(s)
| | - Jason D Simmons
- Department of Medicine, University of Washington, Seattle, WA, USA
| | | | - Felicia K Nguyen
- Department of Medicine, University of Washington, Seattle, WA, USA
| | - Monica Campo
- Department of Medicine, University of Washington, Seattle, WA, USA
| | - Penelope Benchek
- Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, Ohio, USA
| | - Catherine M Stein
- Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, Ohio, USA
- Department of Medicine, Case Western Reserve University, Cleveland, Ohio, USA
| | - Tomas Vaisar
- Department of Medicine, University of Washington, Seattle, WA, USA
| | | | - W Henry Boom
- Department of Medicine, Case Western Reserve University, Cleveland, Ohio, USA
| | - Thomas R Hawn
- Department of Medicine, University of Washington, Seattle, WA, USA
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8
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Barata T, Pereira V, Pires das Neves R, Rocha M. Reconstruction of cell-specific models capturing the influence of metabolism on DNA methylation in cancer. Comput Biol Med 2024; 170:108052. [PMID: 38308868 DOI: 10.1016/j.compbiomed.2024.108052] [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: 06/06/2023] [Revised: 01/18/2024] [Accepted: 01/26/2024] [Indexed: 02/05/2024]
Abstract
The imbalance of epigenetic regulatory mechanisms such as DNA methylation, which can promote aberrant gene expression profiles without affecting the DNA sequence, may cause the deregulation of signaling, regulatory, and metabolic processes, contributing to a cancerous phenotype. Since some metabolites are substrates and cofactors of epigenetic regulators, their availability can be affected by characteristic cancer cell metabolic shifts, feeding cancer onset and progression through epigenetic deregulation. Hence, there is a need to study the influence of cancer metabolic reprogramming in DNA methylation to design new effective treatments. In this study, a generic Genome-Scale Metabolic Model (GSMM) of a human cell, integrating DNA methylation or demethylation reactions, was obtained and used for the reconstruction of Genome-Scale Metabolic Models enhanced with Enzymatic Constraints using Kinetic and Omics data (GECKOs) of 31 cancer cell lines. Furthermore, cell-line-specific DNA methylation levels were included in the models, as coefficients of a DNA composition pseudo-reaction, to depict the influence of metabolism over global DNA methylation in each of the cancer cell lines. Flux simulations demonstrated the ability of these models to provide simulated fluxes of exchange reactions similar to the equivalent experimentally measured uptake/secretion rates and to make good functional predictions. In addition, simulations found metabolic pathways, reactions and enzymes directly or inversely associated with the gene promoter methylation. Two potential candidates for targeted cancer epigenetic therapy were identified.
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Affiliation(s)
- Tânia Barata
- CNC - Center for Neuroscience and Cell Biology, University of Coimbra, 3004-517 Coimbra, Portugal; CIBB - Centre for Innovative Biomedicine and Biotechnology, University of Coimbra, 3004-517 Coimbra, Portugal
| | - Vítor Pereira
- Centre of Biological Engineering, University of Minho - Campus de Gualtar, Braga, Portugal; LABBELS - Associate Laboratory, Braga/Guimarães, Portugal
| | - Ricardo Pires das Neves
- CNC - Center for Neuroscience and Cell Biology, University of Coimbra, 3004-517 Coimbra, Portugal; CIBB - Centre for Innovative Biomedicine and Biotechnology, University of Coimbra, 3004-517 Coimbra, Portugal; IIIUC-Institute of Interdisciplinary Research, University of Coimbra, 3030-789 Coimbra, Portugal
| | - Miguel Rocha
- Centre of Biological Engineering, University of Minho - Campus de Gualtar, Braga, Portugal; LABBELS - Associate Laboratory, Braga/Guimarães, Portugal; Department of Informatics, University of Minho, Portugal.
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9
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Ghanem NZ, Yamaguchi M. Regucalcin downregulation in human cancer. Life Sci 2024; 340:122448. [PMID: 38246519 DOI: 10.1016/j.lfs.2024.122448] [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: 10/03/2023] [Revised: 01/08/2024] [Accepted: 01/16/2024] [Indexed: 01/23/2024]
Abstract
Regucalcin is a unique calcium-binding protein first discovered in rat liver in 1978. Regucalcin has multiple functions as an inhibitor of various cellular signaling pathways that regulate cell activity. The expression of the regucalcin gene can be altered by various physiological and pathological factors such as diet (nutrients), hormones, diabetes, alcohol and drugs. Several transcription factors have been identified on the regucalcin gene, including AP-1, NF1-A1, RGPR-p117, β-catenin, NF-κB, STAT3 and hypoxia-inducible factor-1α (HIF-1α). Notably, regucalcin plays an important role in the development of several cancers by controlling cell growth. Clinically, many studies have reported that the expression of the regucalcin gene is downregulated in various human cancers. In addition, higher expression of regucalcin in tumor tissue has been associated with longer patient survival, suggesting that regucalcin may act as a potential suppressor of various types of human cancer. Regucalcin may offer a novel therapeutic strategy and diagnostic tool for cancer treatment. However, the underlying mechanism by which regucalcin expression is reduced in human cancer is still unclear. A deeper understanding of regucalcin reduction and function in cancer is needed to discover potential resistance mechanisms and biomarkers, and to improve regucalcin-targeting agents. We review recent findings on regucalcin gene expression in cancer. We discuss the possible mechanisms by which regucalcin expression is downregulated in cancer cells to facilitate understanding of how regucalcin regulates cell growth function. This mini-review may lead to better therapeutic targets with regucalcin.
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Affiliation(s)
- Neda Z Ghanem
- Department of Respiratory Therapy, Mohammed Al-Mana College for Medical Sciences, Dammam, Eastern Province 34222, Saudi Arabia
| | - Masayoshi Yamaguchi
- Cancer Biology Program, University of Hawaii Cancer Center, University of Hawaii at Manoa, 701 Ilalo Street, Hawaii, HI 96813, USA.
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10
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Ahsan MU, Gouru A, Chan J, Zhou W, Wang K. A signal processing and deep learning framework for methylation detection using Oxford Nanopore sequencing. Nat Commun 2024; 15:1448. [PMID: 38365920 PMCID: PMC10873387 DOI: 10.1038/s41467-024-45778-y] [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: 05/25/2023] [Accepted: 02/04/2024] [Indexed: 02/18/2024] Open
Abstract
Oxford Nanopore sequencing can detect DNA methylations from ionic current signal of single molecules, offering a unique advantage over conventional methods. Additionally, adaptive sampling, a software-controlled enrichment method for targeted sequencing, allows reduced representation methylation sequencing that can be applied to CpG islands or imprinted regions. Here we present DeepMod2, a comprehensive deep-learning framework for methylation detection using ionic current signal from Nanopore sequencing. DeepMod2 implements both a bidirectional long short-term memory (BiLSTM) model and a Transformer model and can analyze POD5 and FAST5 signal files generated on R9 and R10 flowcells. Additionally, DeepMod2 can run efficiently on central processing unit (CPU) through model pruning and can infer epihaplotypes or haplotype-specific methylation calls from phased reads. We use multiple publicly available and newly generated datasets to evaluate the performance of DeepMod2 under varying scenarios. DeepMod2 has comparable performance to Guppy and Dorado, which are the current state-of-the-art methods from Oxford Nanopore Technologies that remain closed-source. Moreover, we show a high correlation (r = 0.96) between reduced representation and whole-genome Nanopore sequencing. In summary, DeepMod2 is an open-source tool that enables fast and accurate DNA methylation detection from whole-genome or adaptive sequencing data on a diverse range of flowcell types.
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Affiliation(s)
- Mian Umair Ahsan
- Raymond G. Perelman Center for Cellular and Molecular Therapeutics, Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA
| | - Anagha Gouru
- Raymond G. Perelman Center for Cellular and Molecular Therapeutics, Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA
- Department of Biology, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Joe Chan
- Raymond G. Perelman Center for Cellular and Molecular Therapeutics, Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA
| | - Wanding Zhou
- Center for Computational and Genomic Medicine, Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Kai Wang
- Raymond G. Perelman Center for Cellular and Molecular Therapeutics, Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA.
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
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11
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Maurya SK, Rehman AU, Zaidi MAA, Khan P, Gautam SK, Santamaria-Barria JA, Siddiqui JA, Batra SK, Nasser MW. Epigenetic alterations fuel brain metastasis via regulating inflammatory cascade. Semin Cell Dev Biol 2024; 154:261-274. [PMID: 36379848 PMCID: PMC10198579 DOI: 10.1016/j.semcdb.2022.11.001] [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: 09/09/2022] [Revised: 10/28/2022] [Accepted: 11/02/2022] [Indexed: 11/13/2022]
Abstract
Brain metastasis (BrM) is a major threat to the survival of melanoma, breast, and lung cancer patients. Circulating tumor cells (CTCs) cross the blood-brain barrier (BBB) and sustain in the brain microenvironment. Genetic mutations and epigenetic modifications have been found to be critical in controlling key aspects of cancer metastasis. Metastasizing cells confront inflammation and gradually adapt in the unique brain microenvironment. Currently, it is one of the major areas that has gained momentum. Researchers are interested in the factors that modulate neuroinflammation during BrM. We review here various epigenetic factors and mechanisms modulating neuroinflammation and how this helps CTCs to adapt and survive in the brain microenvironment. Since epigenetic changes could be modulated by targeting enzymes such as histone/DNA methyltransferase, deacetylases, acetyltransferases, and demethylases, we also summarize our current understanding of potential drugs targeting various aspects of epigenetic regulation in BrM.
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Affiliation(s)
- Shailendra Kumar Maurya
- Department of Biochemistry and Molecular Biology, University of Nebraska Medical Center, Omaha, NE 68108, USA
| | - Asad Ur Rehman
- Department of Biochemistry and Molecular Biology, University of Nebraska Medical Center, Omaha, NE 68108, USA
| | - Mohd Ali Abbas Zaidi
- Department of Biochemistry and Molecular Biology, University of Nebraska Medical Center, Omaha, NE 68108, USA
| | - Parvez Khan
- Department of Biochemistry and Molecular Biology, University of Nebraska Medical Center, Omaha, NE 68108, USA
| | - Shailendra K Gautam
- Department of Biochemistry and Molecular Biology, University of Nebraska Medical Center, Omaha, NE 68108, USA
| | | | - Jawed Akhtar Siddiqui
- Department of Biochemistry and Molecular Biology, University of Nebraska Medical Center, Omaha, NE 68108, USA; Fred and Pamela Buffett Cancer Center, University of Nebraska Medical Center, Omaha, NE 68108, USA
| | - Surinder K Batra
- Department of Biochemistry and Molecular Biology, University of Nebraska Medical Center, Omaha, NE 68108, USA; Fred and Pamela Buffett Cancer Center, University of Nebraska Medical Center, Omaha, NE 68108, USA; Eppley Institute for Research in Cancer and Allied Diseases, University of Nebraska Medical Center, Omaha, NE 68198, USA
| | - Mohd Wasim Nasser
- Department of Biochemistry and Molecular Biology, University of Nebraska Medical Center, Omaha, NE 68108, USA; Fred and Pamela Buffett Cancer Center, University of Nebraska Medical Center, Omaha, NE 68108, USA.
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12
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Ramirez P, Sun W, Kazempour Dehkordi S, Zare H, Fongang B, Bieniek KF, Frost B. Nanopore-based DNA long-read sequencing analysis of the aged human brain. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.02.01.578450. [PMID: 38370753 PMCID: PMC10871260 DOI: 10.1101/2024.02.01.578450] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/20/2024]
Abstract
Aging disrupts cellular processes such as DNA repair and epigenetic control, leading to a gradual buildup of genomic alterations that can have detrimental effects in post-mitotic cells. Genomic alterations in regions of the genome that are rich in repetitive sequences, often termed "dark loci," are difficult to resolve using traditional sequencing approaches. New long-read technologies offer promising avenues for exploration of previously inaccessible regions of the genome. Using nanopore-based long-read whole-genome sequencing of DNA extracted from aged 18 human brains, we identify previously unreported structural variants and methylation patterns within repetitive DNA, focusing on transposable elements ("jumping genes") as crucial sources of variation, particularly in dark loci. Our analyses reveal potential somatic insertion variants and provides DNA methylation frequencies for many retrotransposon families. We further demonstrate the utility of this technology for the study of these challenging genomic regions in brains affected by Alzheimer's disease and identify significant differences in DNA methylation in pathologically normal brains versus those affected by Alzheimer's disease. Highlighting the power of this approach, we discover specific polymorphic retrotransposons with altered DNA methylation patterns. These retrotransposon loci have the potential to contribute to pathology, warranting further investigation in Alzheimer's disease research. Taken together, our study provides the first long-read DNA sequencing-based analysis of retrotransposon sequences, structural variants, and DNA methylation in the aging brain affected with Alzheimer's disease neuropathology.
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Affiliation(s)
- Paulino Ramirez
- Barshop Institute for Longevity and Aging Studies, University of Texas Health San Antonio, San Antonio, Texas
- Glenn Biggs Institute for Alzheimer’s and Neurodegenerative Diseases, University of Texas Health San Antonio, San Antonio, Texas
- Department of Cell Systems and Anatomy, University of Texas Health San Antonio, San Antonio, Texas
| | - Wenyan Sun
- Barshop Institute for Longevity and Aging Studies, University of Texas Health San Antonio, San Antonio, Texas
- Glenn Biggs Institute for Alzheimer’s and Neurodegenerative Diseases, University of Texas Health San Antonio, San Antonio, Texas
- Department of Cell Systems and Anatomy, University of Texas Health San Antonio, San Antonio, Texas
- School of Pharmacy, University of Missouri-Kansas City, Kansas City, Missouri
| | - Shiva Kazempour Dehkordi
- Glenn Biggs Institute for Alzheimer’s and Neurodegenerative Diseases, University of Texas Health San Antonio, San Antonio, Texas
- Department of Cell Systems and Anatomy, University of Texas Health San Antonio, San Antonio, Texas
| | - Habil Zare
- Glenn Biggs Institute for Alzheimer’s and Neurodegenerative Diseases, University of Texas Health San Antonio, San Antonio, Texas
- Department of Cell Systems and Anatomy, University of Texas Health San Antonio, San Antonio, Texas
| | - Bernard Fongang
- Glenn Biggs Institute for Alzheimer’s and Neurodegenerative Diseases, University of Texas Health San Antonio, San Antonio, Texas
- Department of Biochemistry & Structural Biology, University of Texas Health San Antonio, San Antonio, Texas
| | - Kevin F. Bieniek
- Glenn Biggs Institute for Alzheimer’s and Neurodegenerative Diseases, University of Texas Health San Antonio, San Antonio, Texas
- Department of Pathology, University of Texas Health San Antonio, San Antonio, Texas
| | - Bess Frost
- Barshop Institute for Longevity and Aging Studies, University of Texas Health San Antonio, San Antonio, Texas
- Glenn Biggs Institute for Alzheimer’s and Neurodegenerative Diseases, University of Texas Health San Antonio, San Antonio, Texas
- Department of Cell Systems and Anatomy, University of Texas Health San Antonio, San Antonio, Texas
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13
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Ogunleye A, Piyawajanusorn C, Ghislat G, Ballester PJ. Large-Scale Machine Learning Analysis Reveals DNA Methylation and Gene Expression Response Signatures for Gemcitabine-Treated Pancreatic Cancer. HEALTH DATA SCIENCE 2024; 4:0108. [PMID: 38486621 PMCID: PMC10904073 DOI: 10.34133/hds.0108] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/15/2023] [Accepted: 12/08/2023] [Indexed: 03/17/2024]
Abstract
Background: Gemcitabine is a first-line chemotherapy for pancreatic adenocarcinoma (PAAD), but many PAAD patients do not respond to gemcitabine-containing treatments. Being able to predict such nonresponders would hence permit the undelayed administration of more promising treatments while sparing gemcitabine life-threatening side effects for those patients. Unfortunately, the few predictors of PAAD patient response to this drug are weak, none of them exploiting yet the power of machine learning (ML). Methods: Here, we applied ML to predict the response of PAAD patients to gemcitabine from the molecular profiles of their tumors. More concretely, we collected diverse molecular profiles of PAAD patient tumors along with the corresponding clinical data (gemcitabine responses and clinical features) from the Genomic Data Commons resource. From systematically combining 8 tumor profiles with 16 classification algorithms, each of the resulting 128 ML models was evaluated by multiple 10-fold cross-validations. Results: Only 7 of these 128 models were predictive, which underlines the importance of carrying out such a large-scale analysis to avoid missing the most predictive models. These were here random forest using 4 selected mRNAs [0.44 Matthews correlation coefficient (MCC), 0.785 receiver operating characteristic-area under the curve (ROC-AUC)] and XGBoost combining 12 DNA methylation probes (0.32 MCC, 0.697 ROC-AUC). By contrast, the hENT1 marker obtained much worse random-level performance (practically 0 MCC, 0.5 ROC-AUC). Despite not being trained to predict prognosis (overall and progression-free survival), these ML models were also able to anticipate this patient outcome. Conclusions: We release these promising ML models so that they can be evaluated prospectively on other gemcitabine-treated PAAD patients.
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Affiliation(s)
- Adeolu Ogunleye
- Department of Organismal Biology,
Uppsala University, Uppsala, Sweden
| | | | - Ghita Ghislat
- Department of Life Sciences,
Imperial College London, London, UK
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14
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Lu S, Sun X, Tang H, Yu J, Wang B, Xiao R, Qu J, Sun F, Deng Z, Li C, Yang P, Yang Z, Rao B. Colorectal cancer with low SLC35A3 is associated with immune infiltrates and poor prognosis. Sci Rep 2024; 14:329. [PMID: 38172565 PMCID: PMC10764849 DOI: 10.1038/s41598-023-51028-w] [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: 01/04/2023] [Accepted: 12/29/2023] [Indexed: 01/05/2024] Open
Abstract
The expression level of SLC35A3 is associated with the prognosis of many cancers, but its role in colorectal cancer (CRC) is unclear. The purpose of our study was to elucidate the role of SLC35A3 in CRC. The expression levels of SLC35A3 in CRC were evaluated through tumor immune resource assessment (TIMER), The Cancer Genome Atlas (TCGA), Gene Expression Omnibus (GEO), International Cancer Genome Consortium (ICGC), Human Protein Atlas (HPA), qRT-PCR, and immunohistochemical evaluation. TCGA, GEO, and ICGC databases were used to analyze the diagnostic and prognostic value of SLC35A3 in CRC. A overall survival (OS) model was constructed and validated based on the expression level of SLC35A3 and multivariable analysis results. The cBioPortal tool was used to analyze SLC35A3 mutation in CRC. The UALCAN tool was used to analyze the promoter methylation level of SLC35A3 in colorectal cancer. In addition, the role of SLC35A3 in CRC was determined through GO analysis, KEGG analysis, gene set enrichment analysis (GSEA), immune infiltration analysis, and immune checkpoint correlation analysis. In vitro experiments validated the function of SLC35A3 in colorectal cancer cells. Compared with adjacent normal tissues and colonic epithelial cells, the expression of SLC35A3 was decreased in CRC tissues and CRC cell lines. Low expression of SLC35A3 was associated with N stage, pathological stage, and lymphatic infiltration, and it was unfavorable for OS, disease-specific survival (DSS), recurrence-free survival (RFS), and post-progression survival (PPS). According to the Receiver Operating Characteristic (ROC) analysis, SLC35A3 is a potential important diagnostic biomarker for CRC patients. The nomograph based on the expression level of SLC35A3 showed a better predictive model for OS than single prognostic factors and TNM staging. SLC35A3 has multiple types of mutations in CRC, and its promoter methylation level is significantly decreased. GO and KEGG analysis indicated that SLC35A3 may be involved in transmembrane transport protein activity, cell communication, and interaction with neurotransmitter receptors. GSEA revealed that SLC35A3 may be involved in energy metabolism, DNA repair, and cancer pathways. In addition, SLC35A3 was closely related to immune cell infiltration and immune checkpoint expression. Immunohistochemistry confirmed the positive correlation between SLC35A3 and helper T cell infiltration. In vitro experiments showed that overexpression of SLC35A3 inhibited the proliferation and invasion capability of colorectal cancer cells and promoted apoptosis. The results of this study indicate that decreased expression of SLC35A3 is closely associated with poor prognosis and immune cell infiltration in colorectal cancer, and it can serve as a promising independent prognostic biomarker and potential therapeutic target.
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Affiliation(s)
- Shuai Lu
- Department of General Surgery, Beijing Shijitan Hospital, Capital Medical University, Key Laboratory of Cancer Foods for Special Medical Purpose (FSMP) for State Market Regulation, Beijing, 100038, China
| | - Xibo Sun
- Department of Breast Surgery, The Second Affiliated Hospital of Shandong First Medical University, Shandong, 271000, China
| | - Huazhen Tang
- Department of General Surgery, Beijing Shijitan Hospital, Capital Medical University, Key Laboratory of Cancer Foods for Special Medical Purpose (FSMP) for State Market Regulation, Beijing, 100038, China
| | - Jinxuan Yu
- Zibo Central Hospital Affiliated to Binzhou Medical College, Zibo, 255020, China
| | - Bing Wang
- Department of General Surgery, Beijing Shijitan Hospital, Capital Medical University, Key Laboratory of Cancer Foods for Special Medical Purpose (FSMP) for State Market Regulation, Beijing, 100038, China
| | - Ruixue Xiao
- Inner Mongolia Medical University, Hohhot, 010100, China
| | - Jinxiu Qu
- Department of General Surgery, Beijing Shijitan Hospital, Capital Medical University, Key Laboratory of Cancer Foods for Special Medical Purpose (FSMP) for State Market Regulation, Beijing, 100038, China
| | - Fang Sun
- The Fifth Medical Center of the General Hospital of the People's Liberation Army of China, Beijing, 100000, China
| | - Zhuoya Deng
- The First Medical Center of Chinese, PLA General Hospital, Beijing, 100000, China
| | - Cong Li
- The First Medical Center of Chinese, PLA General Hospital, Beijing, 100000, China
| | - Penghui Yang
- The First Medical Center of Chinese, PLA General Hospital, Beijing, 100000, China.
| | - Zhenpeng Yang
- Department of General Surgery, Qilu Hospital of Shandong University, Jinan, 250012, China.
| | - Benqiang Rao
- Department of General Surgery, Beijing Shijitan Hospital, Capital Medical University, Key Laboratory of Cancer Foods for Special Medical Purpose (FSMP) for State Market Regulation, Beijing, 100038, China.
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15
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Azarfar G, Ko SB, Adams SJ, Babyn PS. Deep learning-based age estimation from chest CT scans. Int J Comput Assist Radiol Surg 2024; 19:119-127. [PMID: 37418109 DOI: 10.1007/s11548-023-02989-w] [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: 02/07/2023] [Accepted: 06/14/2023] [Indexed: 07/08/2023]
Abstract
PURPOSE Medical imaging can be used to estimate a patient's biological age, which may provide complementary information to clinicians compared to chronological age. In this study, we aimed to develop a method to estimate a patient's age based on their chest CT scan. Additionally, we investigated whether chest CT estimated age is a more accurate predictor of lung cancer risk compared to chronological age. METHODS To develop our age prediction model, we utilized composite CT images and Inception-ResNet-v2. The model was trained, validated, and tested on 13,824 chest CT scans from the National Lung Screening Trial, with 91% for training, 5% for validation, and 4% for testing. Additionally, we independently tested the model on 1849 CT scans collected locally. To assess chest CT estimated age as a risk factor for lung cancer, we computed the relative lung cancer risk between two groups. Group 1 consisted of individuals assigned a CT age older than their chronological age, while Group 2 comprised those assigned a CT age younger than their chronological age. RESULTS Our analysis revealed a mean absolute error of 1.84 years and a Pearson's correlation coefficient of 0.97 for our local data when comparing chronological age with the estimated CT age. The model showed the most activation in the area associated with the lungs during age estimation. The relative risk for lung cancer was 1.82 (95% confidence interval, 1.65-2.02) for individuals assigned a CT age older than their chronological age compared to those assigned a CT age younger than their chronological age. CONCLUSION Findings suggest that chest CT age captures some aspects of biological aging and may be a more accurate predictor of lung cancer risk than chronological age. Future studies with larger and more diverse patients are required for the generalization of the interpretations.
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Affiliation(s)
- Ghazal Azarfar
- Department of Medical Imaging, University of Saskatchewan, Saskatoon, SK, Canada.
- Department of Electrical and Computer Engineering, University of Saskatchewan, Saskatoon, SK, Canada.
| | - Seok-Bum Ko
- Department of Electrical and Computer Engineering, University of Saskatchewan, Saskatoon, SK, Canada
| | - Scott J Adams
- Department of Medical Imaging, University of Saskatchewan, Saskatoon, SK, Canada
| | - Paul S Babyn
- Department of Medical Imaging, University of Saskatchewan, Saskatoon, SK, Canada
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16
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Powell RM, Moravec JC, Jones GT, Bhat B, Lin SM, Planer JD, Krymskaya VP, Cantu E, Pattison S, Morison IM, Gray B, Eccles MR, Macaulay EC. DNA Methylation Profiling of Heterogeneous Sporadic LAM and Matched Lung Tissue. Am J Respir Cell Mol Biol 2024; 70:81-84. [PMID: 38156802 DOI: 10.1165/rcmb.2023-0300le] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2024] Open
Affiliation(s)
- Ryan M Powell
- University of Otago Dunedin, New Zealand
- New Zealand LAM Charitable Trust Auckland, New Zealand
| | | | | | | | - Susan M Lin
- University of Pennsylvania Philadelphia, Pennsylvania
| | | | | | - Edward Cantu
- University of Pennsylvania Philadelphia, Pennsylvania
| | | | | | - Bronwyn Gray
- New Zealand LAM Charitable Trust Auckland, New Zealand
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17
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Chatterjee K, Mal S, Ghosh M, Chattopadhyay NR, Roy SD, Chakraborty K, Mukherjee S, Aier M, Choudhuri T. Blood-based DNA methylation in advanced Nasopharyngeal Carcinoma exhibited distinct CpG methylation signature. Sci Rep 2023; 13:22086. [PMID: 38086861 PMCID: PMC10716134 DOI: 10.1038/s41598-023-45001-w] [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: 12/09/2022] [Accepted: 10/14/2023] [Indexed: 12/18/2023] Open
Abstract
The TNM staging system is currently used to detect cancer stages. Regardless, a small proportion of cancer patients recur even after therapy, suggesting more specific molecular tools are required to justify the stage-specific detection and prompt cancer diagnosis. Thus, we aimed to explore the blood-based DNA methylation signature of metastatic nasopharyngeal carcinoma (NPC) to establish a holistic methylation biomarker panel. For the identification of methylation signature, the EPIC BeadChip-based array was performed. Comparative analysis for identifying unique probes, validation, and functional studies was investigated by analyzing GEO and TCGA datasets. We observed 4093 differentially methylated probes (DMPs), 1232 hydroxymethylated probes, and 25 CpG islands. Gene expression study revealed both upregulated and downregulated genes. Correlation analysis suggested a positive (with a positive r, p ≤ 0.05) and negative (with a negative r, p ≤ 0.05) association with different cancers. TFBS analysis exhibited the binding site for many TFs. Furthermore, gene enrichment analysis indicated the involvement of those identified genes in biological pathways. However, blood-based DNA methylation data uncovered a distinct DNA methylation pattern, which might have an additive role in NPC progression by altering the TFs binding. Moreover, based on tissue-specificity, a variation of correlation between methylation and gene expression was noted in different cancers.
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Affiliation(s)
- Koustav Chatterjee
- Department of Biotechnology, Visva-Bharati, Santiniketan, Birbhum, West Bengal, India, 731235
| | - Sudipa Mal
- Department of Biotechnology, Visva-Bharati, Santiniketan, Birbhum, West Bengal, India, 731235
| | - Monalisha Ghosh
- Department of Biotechnology, Visva-Bharati, Santiniketan, Birbhum, West Bengal, India, 731235
| | | | - Sankar Deb Roy
- Department of Radiation Oncology, Eden Medical Center, Dimapur, Nagaland, India
| | - Koushik Chakraborty
- Department of Biotechnology, Visva-Bharati, Santiniketan, Birbhum, West Bengal, India, 731235
| | - Syamantak Mukherjee
- Department of Biotechnology, Visva-Bharati, Santiniketan, Birbhum, West Bengal, India, 731235
| | - Moatoshi Aier
- Department of Pathology, Eden Medical Center, Dimapur, Nagaland, India
| | - Tathagata Choudhuri
- Department of Biotechnology, Visva-Bharati, Santiniketan, Birbhum, West Bengal, India, 731235.
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18
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Ahuja P, Yadav R, Goyal S, Yadav C, Ranga S, Kadian L. Targeting epigenetic deregulations for the management of esophageal carcinoma: recent advances and emerging approaches. Cell Biol Toxicol 2023; 39:2437-2465. [PMID: 37338772 DOI: 10.1007/s10565-023-09818-5] [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: 03/16/2023] [Accepted: 06/08/2023] [Indexed: 06/21/2023]
Abstract
Ranking from seventh in incidence to sixth in mortality, esophageal carcinoma is considered a severe malignancy of food pipe. Later-stage diagnosis, drug resistance, and a high mortality rate contribute to its lethality. Esophageal squamous cell carcinoma and esophageal adenocarcinoma are the two main histological subtypes of esophageal carcinoma, with squamous cell carcinoma alone accounting for more than eighty percent of its cases. While genetic anomalies are well known in esophageal cancer, accountability of epigenetic deregulations is also being explored for the recent two decades. DNA methylation, histone modifications, and functional non-coding RNAs are the crucial epigenetic players involved in the modulation of different malignancies, including esophageal carcinoma. Targeting these epigenetic aberrations will provide new insights into the development of biomarker tools for risk stratification, early diagnosis, and effective therapeutic intervention. This review discusses different epigenetic alterations, emphasizing the most significant developments in esophageal cancer epigenetics and their potential implication for the detection, prognosis, and treatment of esophageal carcinoma. Further, the preclinical and clinical status of various epigenetic drugs has also been reviewed.
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Affiliation(s)
- Parul Ahuja
- Department of Genetics, Maharshi Dayanand University, (Haryana), Rohtak, 124001, India
| | - Ritu Yadav
- Department of Genetics, Maharshi Dayanand University, (Haryana), Rohtak, 124001, India.
| | - Sandeep Goyal
- Department of Internal Medicine, Pt. B.D, Sharma University of Health Sciences, (Haryana), Rohtak, 124001, India
| | - Chetna Yadav
- Department of Genetics, Maharshi Dayanand University, (Haryana), Rohtak, 124001, India
| | - Shalu Ranga
- Department of Genetics, Maharshi Dayanand University, (Haryana), Rohtak, 124001, India
| | - Lokesh Kadian
- Department of Dermatology, School of Medicine, Indiana University, Indianapolis, Indiana, 46202, USA
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19
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Zohud O, Lone IM, Nashef A, Iraqi FA. Towards system genetics analysis of head and neck squamous cell carcinoma using the mouse model, cellular platform, and clinical human data. Animal Model Exp Med 2023; 6:537-558. [PMID: 38129938 PMCID: PMC10757216 DOI: 10.1002/ame2.12367] [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: 08/24/2023] [Accepted: 11/21/2023] [Indexed: 12/23/2023] Open
Abstract
Head and neck squamous cell cancer (HNSCC) is a leading global malignancy. Every year, More than 830 000 people are diagnosed with HNSCC globally, with more than 430 000 fatalities. HNSCC is a deadly diverse malignancy with many tumor locations and biological characteristics. It originates from the squamous epithelium of the oral cavity, oropharynx, nasopharynx, larynx, and hypopharynx. The most frequently impacted regions are the tongue and larynx. Previous investigations have demonstrated the critical role of host genetic susceptibility in the progression of HNSCC. Despite the advances in our knowledge, the improved survival rate of HNSCC patients over the last 40 years has been limited. Failure to identify the molecular origins of development of HNSCC and the genetic basis of the disease and its biological heterogeneity impedes the development of new therapeutic methods. These results indicate a need to identify more genetic factors underlying this complex disease, which can be better used in early detection and prevention strategies. The lack of reliable animal models to investigate the underlying molecular processes is one of the most significant barriers to understanding HNSCC tumors. In this report, we explore and discuss potential research prospects utilizing the Collaborative Cross mouse model and crossing it to mice carrying single or double knockout genes (e.g. Smad4 and P53 genes) to identify genetic factors affecting the development of this complex disease using genome-wide association studies, epigenetics, microRNA, long noncoding RNA, lncRNA, histone modifications, methylation, phosphorylation, and proteomics.
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Affiliation(s)
- Osayd Zohud
- Department of Clinical Microbiology and Immunology, Sackler Faculty of MedicineTel‐Aviv UniversityTel AvivIsrael
| | - Iqbal M. Lone
- Department of Clinical Microbiology and Immunology, Sackler Faculty of MedicineTel‐Aviv UniversityTel AvivIsrael
| | - Aysar Nashef
- Department of Oral and Maxillofacial SurgeryBaruch Padeh Medical CenterPoriyaIsrael
- Azrieli Faculty of MedicineBar‐Ilan UniversityRamat GanIsrael
| | - Fuad A. Iraqi
- Department of Clinical Microbiology and Immunology, Sackler Faculty of MedicineTel‐Aviv UniversityTel AvivIsrael
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20
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Shi Q, Zheng X, Hu Y, Zhou Z, Fang M, Huang X. Methylation of hypoxia-inducible factor 3 subunit alpha contributes to poor prognosis in lung adenocarcinoma. J Appl Genet 2023; 64:769-777. [PMID: 37707680 DOI: 10.1007/s13353-023-00784-6] [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: 06/13/2023] [Revised: 08/27/2023] [Accepted: 08/29/2023] [Indexed: 09/15/2023]
Abstract
Hypoxia-inducible factor 3 subunit alpha (HIF3A) has been implicated in various types of cancers, while its precise role in the lung adenocarcinoma remains unclear. Our study aimed to investigate the roles of HIF3A in lung adenocarcinoma and its regulation by DNA methylation. We utilized bioinformatic tools, including UALCAN and KMPlot, to analyze the relationship between HIF3A expression, DNA methylation, and patient survival rate in lung adenocarcinoma. We also used siRNA-mediated knockdown of HIF3A and DNA-methyltransferase 1 (DNMT1), as well as the treatment of DNA methylation inhibitor 5-Azacytidine, in A549 and H1299 lung adenocarcinoma cell lines. qPCR, MTT, and cell counting assays were performed to evaluate the mRNA expression and cell viability. The bioinformatic analysis revealed that HIF3A expression was downregulated and its methylation was upregulated in lung tumor tissues. Additionally, Kaplan-Meier analysis indicated a correlation between low HIF3A expression and patient poor survival rate. We found that DNMT1 regulated HIF3A methylation. Knockdown of HIF3A promoted cancer cell proliferation. These data suggest that downregulation of HIF3A promotes tumor cell proliferation, and support that HIF3A methylation may serve as a prognostic factor for lung adenocarcinoma.
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Affiliation(s)
- Qin Shi
- Oncology Department, Fujian Fuzhou Pulmonary Hospital, No.2 Shangdu Hubian, Cangshan District, Fuzhou, 350000, Fujian, China.
| | - Xiuxia Zheng
- Oncology Department, Fujian Fuzhou Pulmonary Hospital, No.2 Shangdu Hubian, Cangshan District, Fuzhou, 350000, Fujian, China
| | - Ying Hu
- Oncology Department, Fujian Fuzhou Pulmonary Hospital, No.2 Shangdu Hubian, Cangshan District, Fuzhou, 350000, Fujian, China
| | - Zhan Zhou
- Oncology Department, Fujian Fuzhou Pulmonary Hospital, No.2 Shangdu Hubian, Cangshan District, Fuzhou, 350000, Fujian, China
| | - Minshan Fang
- Oncology Department, Fujian Fuzhou Pulmonary Hospital, No.2 Shangdu Hubian, Cangshan District, Fuzhou, 350000, Fujian, China
| | - Xinhui Huang
- Oncology Department, Fujian Fuzhou Pulmonary Hospital, No.2 Shangdu Hubian, Cangshan District, Fuzhou, 350000, Fujian, China
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21
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Perla S, Kumar A. Epigenetic and transcriptional regulation of the human angiotensinogen gene by high salt. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.11.22.568343. [PMID: 38045346 PMCID: PMC10690268 DOI: 10.1101/2023.11.22.568343] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/05/2023]
Abstract
Hypertension is caused by a combination of genetic and environmental factors. Angiotensinogen (AGT) is a component of RAAS, that regulates blood pressure. The human angiotensinogen (hAGT) gene has -6A/-6G polymorphism and -6A variant is associated with human hypertension. In this study, we have investigated the epigenetic regulation of the hAGT. To understand transcriptional regulation of the hAGT, we have made transgenic animals containing -6A. We show that HS affects DNA methylation and modulates transcriptional regulation of this gene in liver and kidney. High salt (HS) increases hAGT gene expression in -6A TG mice. We have observed that the number of CpG sites in the hAGT promoter is decreased after HS treatment. In the liver, seven CpG sites are methylated whereas after HS treatment, only three CpG sites remain methylated. In the kidney, five CpG sites are methylated, whereas after HS treatment, only three CpG sites remain methylated. These results suggest that HS promotes DNA demethylation and increasing AGT gene expression. RT-PCR and immunoblot analysis show that hAGT gene expression is increased by HS. Chip assay has shown that transcription factors bind strongly after HS treatment. RNA-Seq identified differentially expressed genes, novel target genes associated with hypertension, top canonical pathways, upstream regulators. One of the plausible mechanisms for HS induced up-regulation of the hAGT gene is through IL-6/JAK/STAT3/AGT axis.
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22
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Nguyen VTC, Nguyen TH, Doan NNT, Pham TMQ, Nguyen GTH, Nguyen TD, Tran TTT, Vo DL, Phan TH, Jasmine TX, Nguyen VC, Nguyen HT, Nguyen TV, Nguyen THH, Huynh LAK, Tran TH, Dang QT, Doan TN, Tran AM, Nguyen VH, Nguyen VTA, Ho LMQ, Tran QD, Pham TTT, Ho TD, Nguyen BT, Nguyen TNV, Nguyen TD, Phu DTB, Phan BHH, Vo TL, Nai THT, Tran TT, Truong MH, Tran NC, Le TK, Tran THT, Duong ML, Bach HPT, Kim VV, Pham TA, Tran DH, Le TNA, Pham TVN, Le MT, Vo DH, Tran TMT, Nguyen MN, Van TTV, Nguyen AN, Tran TT, Tran VU, Le MP, Do TT, Phan TV, Nguyen HDL, Nguyen DS, Cao VT, Do TTT, Truong DK, Tang HS, Giang H, Nguyen HN, Phan MD, Tran LS. Multimodal analysis of methylomics and fragmentomics in plasma cell-free DNA for multi-cancer early detection and localization. eLife 2023; 12:RP89083. [PMID: 37819044 PMCID: PMC10567114 DOI: 10.7554/elife.89083] [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] [Indexed: 10/13/2023] Open
Abstract
Despite their promise, circulating tumor DNA (ctDNA)-based assays for multi-cancer early detection face challenges in test performance, due mostly to the limited abundance of ctDNA and its inherent variability. To address these challenges, published assays to date demanded a very high-depth sequencing, resulting in an elevated price of test. Herein, we developed a multimodal assay called SPOT-MAS (screening for the presence of tumor by methylation and size) to simultaneously profile methylomics, fragmentomics, copy number, and end motifs in a single workflow using targeted and shallow genome-wide sequencing (~0.55×) of cell-free DNA. We applied SPOT-MAS to 738 non-metastatic patients with breast, colorectal, gastric, lung, and liver cancer, and 1550 healthy controls. We then employed machine learning to extract multiple cancer and tissue-specific signatures for detecting and locating cancer. SPOT-MAS successfully detected the five cancer types with a sensitivity of 72.4% at 97.0% specificity. The sensitivities for detecting early-stage cancers were 73.9% and 62.3% for stages I and II, respectively, increasing to 88.3% for non-metastatic stage IIIA. For tumor-of-origin, our assay achieved an accuracy of 0.7. Our study demonstrates comparable performance to other ctDNA-based assays while requiring significantly lower sequencing depth, making it economically feasible for population-wide screening.
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23
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Donson AM, Bertrand KC, Riemondy KA, Gao D, Zhuang Y, Sanford B, Norris GA, Chapman RJ, Fu R, Willard N, Griesinger AM, Ribeiro de Sousa G, Amani V, Grimaldo E, Hankinson TC, Booker F, Sill M, Grundy RG, Pajtler KW, Ellison DW, Foreman NK, Ritzmann TA. Significant increase of high-risk chromosome 1q gain and 6q loss at recurrence in posterior fossa group A ependymoma: A multicenter study. Neuro Oncol 2023; 25:1854-1867. [PMID: 37246777 PMCID: PMC10547517 DOI: 10.1093/neuonc/noad096] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2023] [Indexed: 05/30/2023] Open
Abstract
BACKGROUND Ependymoma (EPN) posterior fossa group A (PFA) has the highest rate of recurrence and the worst prognosis of all EPN molecular groups. At relapse, it is typically incurable even with re-resection and re-irradiation. The biology of recurrent PFA remains largely unknown; however, the increasing use of surgery at first recurrence has now provided access to clinical samples to facilitate a better understanding of this. METHODS In this large longitudinal international multicenter study, we examined matched samples of primary and recurrent disease from PFA patients to investigate the biology of recurrence. RESULTS DNA methylome derived copy number variants (CNVs) revealed large-scale chromosome gains and losses at recurrence in PFA. CNV changes were dominated by chromosome 1q gain and/or 6q loss, both previously identified as high-risk factors in PFA, which were present in 23% at presentation but increased to 61% at first recurrence. Multivariate survival analyses of this cohort showed that cases with 1q gain or 6q loss at first recurrence were significantly more likely to recur again. Predisposition to 1q+/6q- CNV changes at recurrence correlated with hypomethylation of heterochromatin-associated DNA at presentation. Cellular and molecular analyses revealed that 1q+/6q- PFA had significantly higher proportions of proliferative neuroepithelial undifferentiated progenitors and decreased differentiated neoplastic subpopulations. CONCLUSIONS This study provides clinically and preclinically actionable insights into the biology of PFA recurrence. The hypomethylation predisposition signature in PFA is a potential risk-classifier for trial stratification. We show that the cellular heterogeneity of PFAs evolves largely because of genetic evolution of neoplastic cells.
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Affiliation(s)
- Andrew M Donson
- Department of Pediatrics, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
- Morgan Adams Foundation Pediatric Brain Tumor Research Program, Children’s Hospital Colorado, Aurora, Colorado, USA
| | | | - Kent A Riemondy
- RNA Biosciences Initiative, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
| | - Dexiang Gao
- Department of Pediatrics, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
- University of Colorado Cancer Center Biostatistics and Bioinformatics Shared Resource, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
| | - Yonghua Zhuang
- Department of Pediatrics, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
- University of Colorado Cancer Center Biostatistics and Bioinformatics Shared Resource, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
| | - Bridget Sanford
- Department of Pediatrics, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
| | - Gregory A Norris
- Department of Pediatrics, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
- Morgan Adams Foundation Pediatric Brain Tumor Research Program, Children’s Hospital Colorado, Aurora, Colorado, USA
| | - Rebecca J Chapman
- Children’s Brain Tumor Research Centre, University of Nottingham, Nottingham, UK
| | - Rui Fu
- Computational Biology, New York Genome Center, New York, New York, USA
| | - Nicholas Willard
- Department of Pathology, University of Colorado Denver, Aurora, Colorado, USA
| | - Andrea M Griesinger
- Department of Pediatrics, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
- Morgan Adams Foundation Pediatric Brain Tumor Research Program, Children’s Hospital Colorado, Aurora, Colorado, USA
| | - Graziella Ribeiro de Sousa
- Department of Pediatrics, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
- Morgan Adams Foundation Pediatric Brain Tumor Research Program, Children’s Hospital Colorado, Aurora, Colorado, USA
| | - Vladimir Amani
- Department of Pediatrics, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
- Morgan Adams Foundation Pediatric Brain Tumor Research Program, Children’s Hospital Colorado, Aurora, Colorado, USA
| | - Enrique Grimaldo
- Department of Pediatrics, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
- Morgan Adams Foundation Pediatric Brain Tumor Research Program, Children’s Hospital Colorado, Aurora, Colorado, USA
| | - Todd C Hankinson
- Morgan Adams Foundation Pediatric Brain Tumor Research Program, Children’s Hospital Colorado, Aurora, Colorado, USA
- Department of Neurosurgery, University of Colorado Denver, Aurora, Colorado, USA
| | - Ffyona Booker
- Children’s Brain Tumor Research Centre, University of Nottingham, Nottingham, UK
| | - Martin Sill
- Hopp-Children’s Cancer Center Heidelberg (KiTZ), Heidelberg, Germany
- Division of Pediatric Neurooncology, German Cancer Research Center (DKFZ) and German Cancer Consortium (DKTK), Heidelberg, Germany
| | - Richard G Grundy
- Children’s Brain Tumor Research Centre, University of Nottingham, Nottingham, UK
| | - Kristian W Pajtler
- Hopp-Children’s Cancer Center Heidelberg (KiTZ), Heidelberg, Germany
- Division of Pediatric Neurooncology, German Cancer Research Center (DKFZ) and German Cancer Consortium (DKTK), Heidelberg, Germany
- Department of Pediatric Oncology, Hematology, and Immunology and Pulmonology, Heidelberg University Hospital, Heidelberg, Germany
| | | | - Nicholas K Foreman
- Department of Pediatrics, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
- Morgan Adams Foundation Pediatric Brain Tumor Research Program, Children’s Hospital Colorado, Aurora, Colorado, USA
| | - Timothy A Ritzmann
- Children’s Brain Tumor Research Centre, University of Nottingham, Nottingham, UK
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24
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Liu C, Wang Z, Wang J, Liu C, Wang M, Ngo V, Wang W. Predicting regional somatic mutation rates using DNA motifs. PLoS Comput Biol 2023; 19:e1011536. [PMID: 37782656 PMCID: PMC10569533 DOI: 10.1371/journal.pcbi.1011536] [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: 04/02/2023] [Revised: 10/12/2023] [Accepted: 09/20/2023] [Indexed: 10/04/2023] Open
Abstract
How the locus-specificity of epigenetic modifications is regulated remains an unanswered question. A contributing mechanism is that epigenetic enzymes are recruited to specific loci by DNA binding factors recognizing particular sequence motifs (referred to as epi-motifs). Using these motifs to predict biological outputs depending on local epigenetic state such as somatic mutation rates would confirm their functionality. Here, we used DNA motifs including known TF motifs and epi-motifs as a surrogate of epigenetic signals to predict somatic mutation rates in 13 cancers at an average 23kbp resolution. We implemented an interpretable neural network model, called contextual regression, to successfully learn the universal relationship between mutations and DNA motifs, and uncovered motifs that are most impactful on the regional mutation rates such as TP53 and epi-motifs associated with H3K9me3. Furthermore, we identified genomic regions with significantly higher mutation rates than the expected values in each individual tumor and demonstrated that such cancer-related regions can accurately predict cancer types. Interestingly, we found that the same mutation signatures often have different contributions to cancer-related and cancer-independent regions, and we also identified the motifs with the most contribution to each mutation signature.
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Affiliation(s)
- Cong Liu
- Department of Chemistry and Biochemistry, University of California San Diego, La Jolla, California, United States of America
| | - Zengmiao Wang
- State Key Laboratory of Remote Sensing Science, Center for Global Change and Public Health, Faculty of Geographical Science, Beijing Normal University, Beijing, China
| | - Jun Wang
- Department of Chemistry and Biochemistry, University of California San Diego, La Jolla, California, United States of America
| | - Chengyu Liu
- Department of Chemistry and Biochemistry, University of California San Diego, La Jolla, California, United States of America
| | - Mengchi Wang
- Bioinformatics and Systems Biology Graduate Program, University of California San Diego, La Jolla, California, United States of America
| | - Vu Ngo
- Bioinformatics and Systems Biology Graduate Program, University of California San Diego, La Jolla, California, United States of America
| | - Wei Wang
- Department of Chemistry and Biochemistry, University of California San Diego, La Jolla, California, United States of America
- Bioinformatics and Systems Biology Graduate Program, University of California San Diego, La Jolla, California, United States of America
- Department of Cellular and Molecular Medicine, University of California San Diego, La Jolla, California, United States of America
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25
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Gao X, Bu H, Gao X, Wang Y, Wang L, Zhang Z. Pan-cancer analysis: SPAG5 is an immunological and prognostic biomarker for multiple cancers. FASEB J 2023; 37:e23159. [PMID: 37650687 DOI: 10.1096/fj.202300626r] [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: 04/02/2023] [Revised: 06/30/2023] [Accepted: 08/10/2023] [Indexed: 09/01/2023]
Abstract
Sperm-associated antigen 5 (SPAG5) is a mitotic spindle protein that regulates the separation of sister chromatids into daughter cells. Recent studies have discovered its overexpression in various cancers, suggesting its oncogenic characteristics and functions. However, a comprehensive analysis of SPAG5 regarding its diagnostic, prognostic, and immune-related effects across different cancer types is lacking. In this study, we employed bioinformatics methods and integrated multiple public databases to explore the potential oncogenic role of SPAG5. We analyzed its expression, prognosis, related chemicals, enriched pathways, immune infiltration, and its impact on different tumor genetic alterations. The results revealed that SPAG5 is highly expressed in most cancers and significantly correlates with poor patient prognosis. Additionally, SPAG5 expression showed potential for early cancer diagnosis in 15 different cancer types. In terms of tumor immunity, high expression of SPAG5 was associated with an immunosuppressive tumor microenvironment and immune therapy efficacy indicators. SPAG5 expression exhibited a negative correlation with most immune cell infiltrates but demonstrated a significant positive correlation with Th2 cells and MDSC cells. Multicolor fluorescence immunohistochemistry demonstrated that SPAG5 activates immune cell populations within tumors, indicating its significant role in the tumor microenvironment. Enrichment analysis indicated that SPAG5-related genes are mainly involved in cell cycle, cellular senescence, P53 signaling pathway, and FoxO signaling pathway. Furthermore, we confirmed the high expression of SPAG5 in cancer cells and observed that its knockdown upregulated the expression of the p53 protein. In conclusion, SPAG5 holds value as a diagnostic, prognostic, and immune biomarker in various cancers and may provide a novel target for tumor immunotherapy.
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Affiliation(s)
- Xiaofeng Gao
- Medicine Research Institute/Hubei Key Laboratory of Diabetes and Angiopathy, Xianning Medical College, Hubei University of Science and Technology, Xianning, People's Republic of China
- School of Basic Medical Sciences, Xianning Medical College, Hubei University of Science and Technology, Xianning, People's Republic of China
| | - Huitong Bu
- College of Biology, Hunan University, Changsha, People's Republic of China
| | - Xuzheng Gao
- Medicine Research Institute/Hubei Key Laboratory of Diabetes and Angiopathy, Xianning Medical College, Hubei University of Science and Technology, Xianning, People's Republic of China
| | - Ying Wang
- Medicine Research Institute/Hubei Key Laboratory of Diabetes and Angiopathy, Xianning Medical College, Hubei University of Science and Technology, Xianning, People's Republic of China
| | - Long Wang
- Medicine Research Institute/Hubei Key Laboratory of Diabetes and Angiopathy, Xianning Medical College, Hubei University of Science and Technology, Xianning, People's Republic of China
- School of Basic Medical Sciences, Xianning Medical College, Hubei University of Science and Technology, Xianning, People's Republic of China
- School of Stomatology and Ophthalmology, Xianning Medical College, Hubei University of Science and Technology, Xianning, People's Republic of China
| | - Zhenwang Zhang
- Medicine Research Institute/Hubei Key Laboratory of Diabetes and Angiopathy, Xianning Medical College, Hubei University of Science and Technology, Xianning, People's Republic of China
- School of Basic Medical Sciences, Xianning Medical College, Hubei University of Science and Technology, Xianning, People's Republic of China
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26
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Li X, Lu K, Chen X, Tu K, Xie D. capTEs enables locus-specific dissection of transcriptional outputs from reference and nonreference transposable elements. Commun Biol 2023; 6:974. [PMID: 37741908 PMCID: PMC10517987 DOI: 10.1038/s42003-023-05349-1] [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: 12/23/2022] [Accepted: 09/12/2023] [Indexed: 09/25/2023] Open
Abstract
Transposable elements (TEs) serve as both insertional mutagens and regulatory elements in cells, and their aberrant activity is increasingly being revealed to contribute to diseases and cancers. However, measuring the transcriptional consequences of nonreference and young TEs at individual loci remains challenging with current methods, primarily due to technical limitations, including short read lengths generated and insufficient coverage in target regions. Here, we introduce a long-read targeted RNA sequencing method, Cas9-assisted profiling TE expression sequencing (capTEs), for quantitative analysis of transcriptional outputs for individual TEs, including transcribed nonreference insertions, noncanonical transcripts from various transcription patterns and their correlations with expression changes in related genes. This method selectively identified TE-containing transcripts and outputted data with up to 90% TE reads, maintaining a comparable data yield to whole-transcriptome sequencing. We applied capTEs to human cancer cells and found that internal and inserted Alu elements may employ distinct regulatory mechanisms to upregulate gene expression. We expect that capTEs will be a critical tool for advancing our understanding of the biological functions of individual TEs at the locus level, revealing their roles as both mutagens and regulators in biological and pathogenic processes.
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Affiliation(s)
- Xuemei Li
- Laboratory of Omics Technology and Bioinformatics, Frontiers Science Center for Disease-related Molecular Network, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, 610041, China
| | - Keying Lu
- Laboratory of Omics Technology and Bioinformatics, Frontiers Science Center for Disease-related Molecular Network, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, 610041, China
| | - Xiao Chen
- Laboratory of Omics Technology and Bioinformatics, Frontiers Science Center for Disease-related Molecular Network, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, 610041, China
| | - Kailing Tu
- Laboratory of Omics Technology and Bioinformatics, Frontiers Science Center for Disease-related Molecular Network, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, 610041, China
| | - Dan Xie
- Laboratory of Omics Technology and Bioinformatics, Frontiers Science Center for Disease-related Molecular Network, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, 610041, China.
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27
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Ma Y, Budde MW, Zhu J, Elowitz MB. Tuning Methylation-Dependent Silencing Dynamics by Synthetic Modulation of CpG Density. ACS Synth Biol 2023; 12:2536-2545. [PMID: 37572041 PMCID: PMC10510725 DOI: 10.1021/acssynbio.3c00078] [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: 02/02/2023] [Indexed: 08/14/2023]
Abstract
Methylation of cytosines in CG dinucleotides (CpGs) within promoters has been shown to lead to gene silencing in mammals in natural contexts. Recently, engineered recruitment of methyltransferases (DNMTs) at specific loci was shown to be sufficient to silence synthetic and endogenous gene expression through this mechanism. A critical parameter for DNA methylation-based silencing is the distribution of CpGs within the target promoter. However, how the number or density of CpGs in the target promoter affects the dynamics of silencing by DNMT recruitment has remained unclear. Here, we constructed a library of promoters with systematically varying CpG content, and analyzed the rate of silencing in response to recruitment of DNMT. We observed a tight correlation between silencing rate and CpG content. Further, methylation-specific analysis revealed a constant accumulation rate of methylation at the promoter after DNMT recruitment. We identified a single CpG site between TATA box and transcription start site (TSS) that accounted for a substantial part of the difference in silencing rates between promoters with differing CpG content, indicating that certain residues play disproportionate roles in controlling silencing. Together, these results provide a library of promoters for synthetic epigenetic and gene regulation applications, as well as insights into the regulatory link between CpG content and silencing rate.
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Affiliation(s)
- Yitong Ma
- Division
of Biology and Biological Engineering, California
Institute of Technology, Pasadena, California 91125, United States
| | - Mark W. Budde
- Division
of Biology and Biological Engineering, California
Institute of Technology, Pasadena, California 91125, United States
- Primordium
Labs, Arcadia, California 91006, United States
| | - Junqin Zhu
- Department
of Biology, Stanford University, Stanford, California 94305, United States
| | - Michael B. Elowitz
- Division
of Biology and Biological Engineering, California
Institute of Technology, Pasadena, California 91125, United States
- Howard
Hughes Medical Institute, California Institute
of Technology, Pasadena, California 91125, United States
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28
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Zhang S, He S, Zhu X, Wang Y, Xie Q, Song X, Xu C, Wang W, Xing L, Xia C, Wang Q, Li W, Zhang X, Yu J, Ma S, Shi J, Gu H. DNA methylation profiling to determine the primary sites of metastatic cancers using formalin-fixed paraffin-embedded tissues. Nat Commun 2023; 14:5686. [PMID: 37709764 PMCID: PMC10502058 DOI: 10.1038/s41467-023-41015-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2022] [Accepted: 08/18/2023] [Indexed: 09/16/2023] Open
Abstract
Identifying the primary site of metastatic cancer is critical to guiding the subsequent treatment. Approximately 3-9% of metastatic patients are diagnosed with cancer of unknown primary sites (CUP) even after a comprehensive diagnostic workup. However, a widely accepted molecular test is still not available. Here, we report a method that applies formalin-fixed, paraffin-embedded tissues to construct reduced representation bisulfite sequencing libraries (FFPE-RRBS). We then generate and systematically evaluate 28 molecular classifiers, built on four DNA methylation scoring methods and seven machine learning approaches, using the RRBS library dataset of 498 fresh-frozen tumor tissues from primary cancer patients. Among these classifiers, the beta value-based linear support vector (BELIVE) performs the best, achieving overall accuracies of 81-93% for identifying the primary sites in 215 metastatic patients using top-k predictions (k = 1, 2, 3). Coincidentally, BELIVE also successfully predicts the tissue of origin in 81-93% of CUP patients (n = 68).
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Affiliation(s)
- Shirong Zhang
- Translational Medicine Research Center, Hangzhou First People's Hospital, 310006, Hangzhou, Zhejiang Province, China
- Key Laboratory of Clinical Cancer Pharmacology and Toxicology Research of Zhejiang Province, Hangzhou First People's Hospital, 310006, Hangzhou, Zhejiang Province, China
| | - Shutao He
- State Key Laboratory of Molecular Biology, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, 200031, Shanghai, China
- Institute of Biotechnology and Health, Beijing Academy of Science and Technology, 100089, Beijing, China
| | - Xin Zhu
- Key Laboratory of Head & Neck Cancer Translational Research of Zhejiang Province, Zhejiang Cancer Hospital, 310022, Hangzhou, Zhejiang Province, China
| | - Yunfei Wang
- Zhejiang ShengTing Biotech Co. Ltd, 310018, Hangzhou, Zhejiang Province, China
| | - Qionghuan Xie
- Zhejiang ShengTing Biotech Co. Ltd, 310018, Hangzhou, Zhejiang Province, China
| | - Xianrang Song
- Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, 250117, Jinan, Shandong Province, China
| | - Chunwei Xu
- Department of Respiratory Medicine, Jinling Hospital, Nanjing University School of Medicine, 210002, Nanjing, Jiangshu Province, China
| | - Wenxian Wang
- Key Laboratory of Head & Neck Cancer Translational Research of Zhejiang Province, Zhejiang Cancer Hospital, 310022, Hangzhou, Zhejiang Province, China
| | - Ligang Xing
- Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, 250117, Jinan, Shandong Province, China
| | - Chengqing Xia
- Zhejiang ShengTing Biotech Co. Ltd, 310018, Hangzhou, Zhejiang Province, China
| | - Qian Wang
- Department of Respiratory Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Jiangsu Province Hospital of Chinese Medicine, 210029, Nanjing, Jiangshu Province, China
| | - Wenfeng Li
- Department of Medical Oncology, The First Affiliated Hospital of Wenzhou Medical University, 325000, Wenzhou, Zhejiang Province, China
| | - Xiaochen Zhang
- Department of Medical Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, 310006, Hangzhou, Zhejiang Province, China
| | - Jinming Yu
- Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, 250117, Jinan, Shandong Province, China
| | - Shenglin Ma
- Translational Medicine Research Center, Hangzhou First People's Hospital, 310006, Hangzhou, Zhejiang Province, China.
- Department of Oncology, Hangzhou Cancer Hospital, 310006, Hangzhou, Zhejiang Province, China.
| | - Jiantao Shi
- State Key Laboratory of Molecular Biology, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, 200031, Shanghai, China.
| | - Hongcang Gu
- Anhui Province Key Laboratory of Medical Physics and Technology, Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, 230031, Hefei, Anhui Province, China.
- Hefei Cancer Hospital, Chinese Academy of Sciences, 230031, Hefei, Anhui Province, China.
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29
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Liang WW, Lu RJH, Jayasinghe RG, Foltz SM, Porta-Pardo E, Geffen Y, Wendl MC, Lazcano R, Kolodziejczak I, Song Y, Govindan A, Demicco EG, Li X, Li Y, Sethuraman S, Payne SH, Fenyö D, Rodriguez H, Wiznerowicz M, Shen H, Mani DR, Rodland KD, Lazar AJ, Robles AI, Ding L. Integrative multi-omic cancer profiling reveals DNA methylation patterns associated with therapeutic vulnerability and cell-of-origin. Cancer Cell 2023; 41:1567-1585.e7. [PMID: 37582362 DOI: 10.1016/j.ccell.2023.07.013] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/12/2022] [Revised: 05/30/2023] [Accepted: 07/31/2023] [Indexed: 08/17/2023]
Abstract
DNA methylation plays a critical role in establishing and maintaining cellular identity. However, it is frequently dysregulated during tumor development and is closely intertwined with other genetic alterations. Here, we leveraged multi-omic profiling of 687 tumors and matched non-involved adjacent tissues from the kidney, brain, pancreas, lung, head and neck, and endometrium to identify aberrant methylation associated with RNA and protein abundance changes and build a Pan-Cancer catalog. We uncovered lineage-specific epigenetic drivers including hypomethylated FGFR2 in endometrial cancer. We showed that hypermethylated STAT5A is associated with pervasive regulon downregulation and immune cell depletion, suggesting that epigenetic regulation of STAT5A expression constitutes a molecular switch for immunosuppression in squamous tumors. We further demonstrated that methylation subtype-enrichment information can explain cell-of-origin, intra-tumor heterogeneity, and tumor phenotypes. Overall, we identified cis-acting DNA methylation events that drive transcriptional and translational changes, shedding light on the tumor's epigenetic landscape and the role of its cell-of-origin.
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Affiliation(s)
- Wen-Wei Liang
- Department of Medicine, Washington University in St. Louis, St. Louis, MO 631110, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63108, USA
| | - Rita Jui-Hsien Lu
- Department of Medicine, Washington University in St. Louis, St. Louis, MO 631110, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63108, USA
| | - Reyka G Jayasinghe
- Department of Medicine, Washington University in St. Louis, St. Louis, MO 631110, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63108, USA
| | - Steven M Foltz
- Department of Medicine, Washington University in St. Louis, St. Louis, MO 631110, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63108, USA
| | - Eduard Porta-Pardo
- Josep Carreras Leukaemia Research Institute (IJC), 08916 Badalona, Spain; Barcelona Supercomputing Center (BSC), 08034 Barcelona, Spain
| | - Yifat Geffen
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA 02142, USA; Cancer Center and Department of Pathology, Massachusetts General Hospital, Boston, MA 02115, USA
| | - Michael C Wendl
- McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63108, USA; Department of Genetics, Washington University in St. Louis, St. Louis, MO 63130, USA; Department of Mathematics, Washington University in St. Louis, St. Louis, MO 63130, USA
| | - Rossana Lazcano
- Departments of Pathology & Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Iga Kolodziejczak
- International Institute for Molecular Oncology, 60-203 Poznań, Poland; Postgraduate School of Molecular Medicine, Medical University of Warsaw, 02-091 Warsaw, Poland
| | - Yizhe Song
- Department of Medicine, Washington University in St. Louis, St. Louis, MO 631110, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63108, USA
| | - Akshay Govindan
- Department of Medicine, Washington University in St. Louis, St. Louis, MO 631110, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63108, USA
| | - Elizabeth G Demicco
- Department of Pathology and Laboratory Medicine, Mount Sinai Hospital and Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada
| | - Xiang Li
- Department of Medicine, Washington University in St. Louis, St. Louis, MO 631110, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63108, USA
| | - Yize Li
- Department of Medicine, Washington University in St. Louis, St. Louis, MO 631110, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63108, USA
| | - Sunantha Sethuraman
- Department of Medicine, Washington University in St. Louis, St. Louis, MO 631110, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63108, USA
| | - Samuel H Payne
- Department of Biology, Brigham Young University, Provo, UT 84602, USA
| | - David Fenyö
- Institute for Systems Genetics, NYU Grossman School of Medicine, New York, NY 10016, USA; Department of Biochemistry and Molecular Pharmacology, NYU Grossman School of Medicine, New York, NY 10016, USA
| | - Henry Rodriguez
- Office of Cancer Clinical Proteomics Research, National Cancer Institute, Rockville, MD 20850, USA
| | - Maciej Wiznerowicz
- International Institute for Molecular Oncology, 60-203 Poznań, Poland; Heliodor Swiecicki Clinical Hospital in Poznań, Ul. Przybyszewskiego 49, 60-355 Poznań, Poland; Poznań University of Medical Sciences, 61-701 Poznań, Poland
| | - Hui Shen
- Van Andel Research Institute, Grand Rapids, MI 49503, USA
| | - D R Mani
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA 02142, USA
| | - Karin D Rodland
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA; Department of Cell, Developmental, and Cancer Biology, Oregon Health & Science University, Portland, OR 97221, USA
| | - Alexander J Lazar
- Departments of Pathology & Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Ana I Robles
- Office of Cancer Clinical Proteomics Research, National Cancer Institute, Rockville, MD 20850, USA
| | - Li Ding
- Department of Medicine, Washington University in St. Louis, St. Louis, MO 631110, USA; McDonnell Genome Institute, Washington University in St. Louis, St. Louis, MO 63108, USA; Siteman Cancer Center, Washington University in St. Louis, St. Louis, MO 63130, USA.
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Górska A, Urbanowicz M, Grochowalski Ł, Seweryn M, Sobalska-Kwapis M, Wojdacz T, Lange M, Gruchała-Niedoszytko M, Jarczak J, Strapagiel D, Górska-Ponikowska M, Pelikant-Małecka I, Kalinowski L, Nedoszytko B, Gutowska-Owsiak D, Niedoszytko M. Genome-Wide DNA Methylation and Gene Expression in Patients with Indolent Systemic Mastocytosis. Int J Mol Sci 2023; 24:13910. [PMID: 37762215 PMCID: PMC10530743 DOI: 10.3390/ijms241813910] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2023] [Revised: 09/06/2023] [Accepted: 09/07/2023] [Indexed: 09/29/2023] Open
Abstract
Mastocytosis is a clinically heterogenous, usually acquired disease of the mast cells with a survival time that depends on the time of onset. It ranges from skin-limited to systemic disease, including indolent and more aggressive variants. The presence of the oncogenic KIT p. D816V gene somatic mutation is a crucial element in the pathogenesis. However, further epigenetic regulation may also affect the expression of genes that are relevant to the pathology. Epigenetic alterations are responsible for regulating the expression of genes that do not modify the DNA sequence. In general, it is accepted that DNA methylation inhibits the binding of transcription factors, thereby down-regulating gene expression. However, so far, little is known about the epigenetic factors leading to the clinical onset of mastocytosis. Therefore, it is essential to identify possible epigenetic predictors, indicators of disease progression, and their link to the clinical picture to establish appropriate management and a therapeutic strategy. The aim of this study was to analyze genome-wide methylation profiles to identify differentially methylated regions (DMRs) in patients with mastocytosis compared to healthy individuals, as well as the genes located in those regulatory regions. Genome-wide DNA methylation profiling was performed in peripheral blood collected from 80 adult patients with indolent systemic mastocytosis (ISM), the most prevalent subvariant of mastocytosis, and 40 healthy adult volunteers. A total of 117 DNA samples met the criteria for the bisulfide conversion step and microarray analysis. Genome-wide DNA methylation analysis was performed using a MethylationEPIC BeadChip kit. Further analysis was focused on the genomic regions rather than individual CpG sites. Co-methylated regions (CMRs) were assigned via the CoMeBack method. To identify DMRs between the groups, a linear regression model with age as the covariate on CMRs was performed using Limma. Using the available data for cases only, an association analysis was performed between methylation status and tryptase levels, as well as the context of allergy, and anaphylaxis. KEGG pathway mapping was used to identify genes differentially expressed in anaphylaxis. Based on the DNA methylation results, the expression of 18 genes was then analyzed via real-time PCR in 20 patients with mastocytosis and 20 healthy adults. A comparison of the genome-wide DNA methylation profile between the mastocytosis patients and healthy controls revealed significant differences in the methylation levels of 85 selected CMRs. Among those, the most intriguing CMRs are 31 genes located within the regulatory regions. In addition, among the 10 CMRs located in the promoter regions, 4 and 6 regions were found to be either hypo- or hypermethylated, respectively. Importantly, three oncogenes-FOXQ1, TWIST1, and ERG-were identified as differentially methylated in mastocytosis patients, for the first time. Functional annotation revealed the most important biological processes in which the differentially methylated genes were involved as transcription, multicellular development, and signal transduction. The biological process related to histone H2A monoubiquitination (GO:0035518) was found to be enriched in association with higher tryptase levels, which may be associated with more aberrant mast cells and, therefore, more atypical mast cell disease. The signal in the BAIAP2 gene was detected in the context of anaphylaxis, but no significant differential methylation was found in the context of allergy. Furthermore, increased expression of genes encoding integral membrane components (GRM2 and KRTCAP3) was found in mastocytosis patients. This study confirms that patients with mastocytosis differ significantly in terms of methylation levels in selected CMRs of genes involved in specific molecular processes. The results of gene expression profiling indicate the increased expression of genes belonging to the integral component of the membrane in mastocytosis patients (GRM2 and KRTCAP3). Further work is warranted, especially in relation to the disease subvariants, to identify links between the methylation status and the symptoms and novel therapeutic targets.
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Affiliation(s)
- Aleksandra Górska
- Department of Allergology, Medical University of Gdansk, 7 Dębinki Street, 80-210 Gdansk, Poland;
| | - Maria Urbanowicz
- Biobank Lab, Department of Oncobiology and Epigenetics, University of Lodz, 90-237 Lodz, Poland (M.S.); (M.S.-K.); (D.S.)
| | - Łukasz Grochowalski
- Biobank Lab, Department of Oncobiology and Epigenetics, University of Lodz, 90-237 Lodz, Poland (M.S.); (M.S.-K.); (D.S.)
| | - Michał Seweryn
- Biobank Lab, Department of Oncobiology and Epigenetics, University of Lodz, 90-237 Lodz, Poland (M.S.); (M.S.-K.); (D.S.)
| | - Marta Sobalska-Kwapis
- Biobank Lab, Department of Oncobiology and Epigenetics, University of Lodz, 90-237 Lodz, Poland (M.S.); (M.S.-K.); (D.S.)
| | - Tomasz Wojdacz
- Independent Clinical Epigenetics Laboratory, Pomeranian Medical University, 71-281 Szczecin, Poland;
| | - Magdalena Lange
- Department of Dermatology, Venereology and Allergology, Medical University of Gdansk, 80-210 Gdansk, Poland; (M.L.); (B.N.)
| | | | - Justyna Jarczak
- Biobank Lab, Department of Oncobiology and Epigenetics, University of Lodz, 90-237 Lodz, Poland (M.S.); (M.S.-K.); (D.S.)
| | - Dominik Strapagiel
- Biobank Lab, Department of Oncobiology and Epigenetics, University of Lodz, 90-237 Lodz, Poland (M.S.); (M.S.-K.); (D.S.)
| | | | - Iwona Pelikant-Małecka
- Department of Medical Laboratory Diagnostics–Biobank Fahrenheit, Medical University of Gdansk, 80-210 Gdansk, Poland; (I.P.-M.); (L.K.)
| | - Leszek Kalinowski
- Department of Medical Laboratory Diagnostics–Biobank Fahrenheit, Medical University of Gdansk, 80-210 Gdansk, Poland; (I.P.-M.); (L.K.)
- BioTechMed Centre, Department of Mechanics of Materials and Structures, Gdansk University of Technology, 80-233 Gdansk, Poland
| | - Bogusław Nedoszytko
- Department of Dermatology, Venereology and Allergology, Medical University of Gdansk, 80-210 Gdansk, Poland; (M.L.); (B.N.)
- Invicta Fertility and Reproductive Center, Molecular Laboratory, 81-740 Sopot, Poland
| | - Danuta Gutowska-Owsiak
- Laboratory of Experimental and Translational Immunology, University of Gdansk, Intercollegiate Faculty of Biotechnology, University of Gdansk and Medical University of Gdansk, 80-307 Gdansk, Poland;
| | - Marek Niedoszytko
- Department of Allergology, Medical University of Gdansk, 7 Dębinki Street, 80-210 Gdansk, Poland;
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Fan R, Wang Y, Zhang J, An X, Liu S, Bai J, Li J, Lin Q, Xie Y, Liao J, Xia Y. Hyperhomocysteinaemia Promotes Doxorubicin-Induced Cardiotoxicity in Mice. Pharmaceuticals (Basel) 2023; 16:1212. [PMID: 37765020 PMCID: PMC10534320 DOI: 10.3390/ph16091212] [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: 07/19/2023] [Revised: 08/18/2023] [Accepted: 08/22/2023] [Indexed: 09/29/2023] Open
Abstract
Doxorubicin, a widely used chemotherapeutic drug in clinical oncology, causes a series of cardiac side effects referred to as doxorubicin-induced cardiotoxicity. Hyperhomocysteinaemia is an independent risk factor for multiple cardiovascular diseases. However, whether hyperhomocysteinaemia contributes to doxorubicin-induced cardiotoxicity is currently unknown. In this study, we explored the pathogenic effects of hyperhomocysteinaemia induced by dietary methionine supplementation (2% wt/wt in rodent chow) in a mouse model of doxorubicin-induced cardiotoxicity. Our data showed that methionine supplementation doubled serum homocysteine levels, inducing mild hyperhomocysteinaemia. Doxorubicin at a cumulative dosage of 25 mg/kg body weight led to significant weight loss and severe cardiac dysfunction, which were further exacerbated by methionine-induced mild hyperhomocysteinaemia. Doxorubicin-induced cardiac atrophy, cytoplasmic vacuolisation, myofibrillar disarray and loss, as well as cardiac fibrosis, were also exacerbated by methionine-induced mild hyperhomocysteinaemia. Additional folic acid supplementation (0.006% wt/wt) prevented methionine-induced hyperhomocysteinaemia and inhibited hyperhomocysteinaemia-aggravated cardiac dysfunction and cardiomyopathy. In particular, hyperhomocysteinaemia increased both serum and cardiac oxidative stress, which could all be inhibited by folic acid supplementation. Therefore, we demonstrated for the first time that hyperhomocysteinaemia could exacerbate doxorubicin-induced cardiotoxicity in mice, and the pathogenic effects of hyperhomocysteinaemia might at least partially correlate with increased oxidative stress and could be prevented by folic acid supplementation. Our study provides preliminary experimental evidence for the assessment of hyperhomocysteinaemia as a potential risk factor for chemotherapy-induced cardiotoxicity in cancer patients.
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Affiliation(s)
- Rui Fan
- Institute of Cardiovascular Diseases, First Affiliated Hospital of Dalian Medical University, Dalian 116011, China
| | - Yao Wang
- Institute of Cardiovascular Diseases, First Affiliated Hospital of Dalian Medical University, Dalian 116011, China
| | - Jinjin Zhang
- Institute of Cardiovascular Diseases, First Affiliated Hospital of Dalian Medical University, Dalian 116011, China
| | - Xiangbo An
- Department of Interventional Therapy, First Affiliated Hospital of Dalian Medical University, Dalian 116011, China
| | - Shuang Liu
- College of Basic Medical Sciences, Dalian Medical University, Dalian 116004, China
| | - Jie Bai
- Department of Nutrition and Food Hygiene, School of Public Health, Dalian Medical University, Dalian 116004, China
| | - Jiatian Li
- Institute of Cardiovascular Diseases, First Affiliated Hospital of Dalian Medical University, Dalian 116011, China
| | - Qiuyue Lin
- Institute of Cardiovascular Diseases, First Affiliated Hospital of Dalian Medical University, Dalian 116011, China
| | - Yunpeng Xie
- Institute of Cardiovascular Diseases, First Affiliated Hospital of Dalian Medical University, Dalian 116011, China
| | - Jiawei Liao
- Institute of Cardiovascular Diseases, First Affiliated Hospital of Dalian Medical University, Dalian 116011, China
| | - Yunlong Xia
- Institute of Cardiovascular Diseases, First Affiliated Hospital of Dalian Medical University, Dalian 116011, China
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Park J, Luo Y, Park JW, Kim SH, Hong YJ, Lim Y, Seo YJ, Bae J, Seo SB. Downregulation of DNA methylation enhances differentiation of THP-1 cells and induces M1 polarization of differentiated macrophages. Sci Rep 2023; 13:13132. [PMID: 37573395 PMCID: PMC10423279 DOI: 10.1038/s41598-023-40362-8] [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: 04/04/2023] [Accepted: 08/09/2023] [Indexed: 08/14/2023] Open
Abstract
DNA methylation is an epigenetic modification that regulates gene expression and plays an essential role in hematopoiesis. UHRF1 and DNMT1 are both crucial for regulating genome-wide maintenance of DNA methylation. Specifically, it is well known that hypermethylation is crucial characteristic of acute myeloid leukemia (AML). However, the mechanism underlying how DNA methylation regulates the differentiation of AML cells, including THP-1 is not fully elucidated. In this study, we report that UHRF1 or DNMT1 depletion enhances the phorbol-12-myristate-13-acetate (PMA)-induced differentiation of THP-1 cells. Transcriptome analysis and genome-wide methylation array results showed that depleting UHRF1 or DNMT1 induced changes that made THP-1 cells highly sensitive to PMA. Furthermore, knockdown of UHRF1 or DNMT1 impeded solid tumor formation in xenograft mouse model. These findings suggest that UHRF1 and DNMT1 play a pivotal role in regulating differentiation and proliferation of THP-1 cells and targeting these proteins may improve the efficiency of differentiation therapy in AML patients.
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Affiliation(s)
- Junyoung Park
- Department of Life Science, College of Natural Sciences, Chung-Ang University, Seoul, 06974, Republic of Korea
| | - Yongyang Luo
- College of Pharmacy, Chung-Ang University, Seoul, 06974, Republic of Korea
| | - Jin Woo Park
- Department of Life Science, College of Natural Sciences, Chung-Ang University, Seoul, 06974, Republic of Korea
| | - Song Hyun Kim
- Department of Life Science, College of Natural Sciences, Chung-Ang University, Seoul, 06974, Republic of Korea
| | - Ye Joo Hong
- Department of Life Science, College of Natural Sciences, Chung-Ang University, Seoul, 06974, Republic of Korea
| | - Younghyun Lim
- Department of Life Science, College of Natural Sciences, Chung-Ang University, Seoul, 06974, Republic of Korea
| | - Young-Jin Seo
- Department of Life Science, College of Natural Sciences, Chung-Ang University, Seoul, 06974, Republic of Korea
| | - Jeehyeon Bae
- College of Pharmacy, Chung-Ang University, Seoul, 06974, Republic of Korea
| | - Sang Beom Seo
- Department of Life Science, College of Natural Sciences, Chung-Ang University, Seoul, 06974, Republic of Korea.
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Cheng H, Liu Y, Chen G. Identification of potential DNA methylation biomarkers related to diagnosis in patients with bladder cancer through integrated bioinformatic analysis. BMC Urol 2023; 23:135. [PMID: 37563710 PMCID: PMC10413619 DOI: 10.1186/s12894-023-01307-5] [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: 03/15/2023] [Accepted: 08/01/2023] [Indexed: 08/12/2023] Open
Abstract
BACKGROUND Bladder cancer (BLCA) is one of the most common malignancies among tumors worldwide. There are no validated biomarkers to facilitate such treatment diagnosis. DNA methylation modification plays important roles in epigenetics. Identifying methylated differentially expressed genes is a common method for the discovery of biomarkers. METHODS Bladder cancer data were obtained from Gene Expression Omnibus (GEO), including the gene expression microarrays GSE37817( 18 patients and 3 normal ), GSE52519 (9 patients and 3 normal) and the gene methylation microarray GSE37816 (18 patients and 3 normal). Aberrantly expressed genes were obtained by GEO2R. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways were analyzed using the DAVID database and KOBAS. Protein-protein interactions (PPIs) and hub gene networks were constructed by STRING and Cytoscape software. The validation of the results which was confirmed through four online platforms, including Gene Expression Profiling Interactive Analysis (GEPIA), Gene Set Cancer Analysis (GSCA), cBioProtal and MEXPRESS. RESULTS In total, 253 and 298 upregulated genes and 674 and 454 downregulated genes were identified for GSE37817 and GSE52519, respectively. For the GSE37816 dataset, hypermethylated and hypomethylated genes involving 778 and 3420 genes, respectively, were observed. Seventeen hypermethylated and low expression genes were enriched in biological processes associated with different organ development and morphogenesis. For molecular function, these genes showed enrichment in extracellular matrix structural constituents. Pathway enrichment showed drug metabolic enzymes and several amino acids metabolism, PI3K-Akt, Hedgehog signaling pathway. The top 3 hub genes screened by Cytoscape software were EFEMP1, SPARCL1 and ABCA8. The research results were verified using the GEPIA, GSCA, cBioProtal and EXPRESS databases, and the hub hypermethylated low expression genes were validated. CONCLUSION This study screened possible aberrantly methylated expression hub genes in BLCA by integrated bioinformatics analysis. The results may provide possible methylation-based biomarkers for the precise diagnosis and treatment of BLCA in the future.
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Affiliation(s)
- Hongxia Cheng
- School of Biological and Pharmaceutical Engineering, Wuhan Huaxia Institute of Technology, Wuhan, 430223, Hubei, China.
| | - Yuhua Liu
- School of Biological and Pharmaceutical Engineering, Wuhan Huaxia Institute of Technology, Wuhan, 430223, Hubei, China
| | - Gang Chen
- School of Biological and Pharmaceutical Engineering, Wuhan Huaxia Institute of Technology, Wuhan, 430223, Hubei, China
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Janssens K, Neefs I, Ibrahim J, Schepers A, Pauwels P, Peeters M, Van Camp G, Op de Beeck K. Epigenome-wide methylation analysis of colorectal carcinoma, adenoma and normal tissue reveals novel biomarkers addressing unmet clinical needs. Clin Epigenetics 2023; 15:111. [PMID: 37415235 PMCID: PMC10327366 DOI: 10.1186/s13148-023-01516-7] [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: 03/22/2023] [Accepted: 06/01/2023] [Indexed: 07/08/2023] Open
Abstract
BACKGROUND Biomarker discovery in colorectal cancer has mostly focused on methylation patterns in normal and colorectal tumor tissue, but adenomas remain understudied. Therefore, we performed the first epigenome-wide study to profile methylation of all three tissue types combined and to identify discriminatory biomarkers. RESULTS Public methylation array data (Illumina EPIC and 450K) were collected from a total of 1 892 colorectal samples. Pairwise differential methylation analyses between tissue types were performed for both array types to "double evidence" differentially methylated probes (DE DMPs). Subsequently, the identified DMPs were filtered on methylation level and used to build a binary logistic regression prediction model. Focusing on the clinically most interesting group (adenoma vs carcinoma), we identified 13 DE DMPs that could effectively discriminate between them (AUC = 0.996). We validated this model in an in-house experimental methylation dataset of 13 adenomas and 9 carcinomas. It reached a sensitivity and specificity of 96% and 95%, respectively, with an overall accuracy of 96%. Our findings raise the possibility that the 13 DE DMPs identified in this study can be used as molecular biomarkers in the clinic. CONCLUSIONS Our analyses show that methylation biomarkers have the potential to discriminate between normal, precursor and carcinoma tissues of the colorectum. More importantly, we highlight the power of the methylome as a source of markers for discriminating between colorectal adenomas and carcinomas, which currently remains an unmet clinical need.
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Affiliation(s)
- Katleen Janssens
- Centre of Medical Genetics, University of Antwerp and Antwerp University Hospital, Prins Boudewijnlaan 43, 2650, Edegem, Belgium
- Centre for Oncological Research Antwerp (CORE), University of Antwerp and Antwerp University Hospital, Universiteitsplein 1, 2610, Wilrijk, Belgium
| | - Isabelle Neefs
- Centre of Medical Genetics, University of Antwerp and Antwerp University Hospital, Prins Boudewijnlaan 43, 2650, Edegem, Belgium
- Centre for Oncological Research Antwerp (CORE), University of Antwerp and Antwerp University Hospital, Universiteitsplein 1, 2610, Wilrijk, Belgium
| | - Joe Ibrahim
- Centre of Medical Genetics, University of Antwerp and Antwerp University Hospital, Prins Boudewijnlaan 43, 2650, Edegem, Belgium
- Centre for Oncological Research Antwerp (CORE), University of Antwerp and Antwerp University Hospital, Universiteitsplein 1, 2610, Wilrijk, Belgium
| | - Anne Schepers
- Centre of Medical Genetics, University of Antwerp and Antwerp University Hospital, Prins Boudewijnlaan 43, 2650, Edegem, Belgium
| | - Patrick Pauwels
- Centre for Oncological Research Antwerp (CORE), University of Antwerp and Antwerp University Hospital, Universiteitsplein 1, 2610, Wilrijk, Belgium
| | - Marc Peeters
- Centre for Oncological Research Antwerp (CORE), University of Antwerp and Antwerp University Hospital, Universiteitsplein 1, 2610, Wilrijk, Belgium
| | - Guy Van Camp
- Centre of Medical Genetics, University of Antwerp and Antwerp University Hospital, Prins Boudewijnlaan 43, 2650, Edegem, Belgium
- Centre for Oncological Research Antwerp (CORE), University of Antwerp and Antwerp University Hospital, Universiteitsplein 1, 2610, Wilrijk, Belgium
| | - Ken Op de Beeck
- Centre of Medical Genetics, University of Antwerp and Antwerp University Hospital, Prins Boudewijnlaan 43, 2650, Edegem, Belgium.
- Centre for Oncological Research Antwerp (CORE), University of Antwerp and Antwerp University Hospital, Universiteitsplein 1, 2610, Wilrijk, Belgium.
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Vlasac IM, Christensen BC, Salas LA. Normal gastric tissue Helicobacter pylori infection is associated with epigenetic age acceleration, increased mitotic tick rate, tissue cell composition, and Natural Killer cell methylation alterations. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.06.28.546926. [PMID: 37425894 PMCID: PMC10327075 DOI: 10.1101/2023.06.28.546926] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/11/2023]
Abstract
Background Gastric adenocarcinomas are a leading cause of global mortality, associated with chronic infection with Helicobacter pylori. The mechanisms by which infection with H. pylori contributes to carcinogenesis are not well understood. Recent studies from subjects with and without gastric cancer have identified significant DNA methylation alterations in normal gastric mucosa associated with H. pylori infection and gastric cancer risk. Here we further investigated DNA methylation alterations in normal gastric mucosa in gastric cancer cases (n = 42) and control subjects (n = 42) with H. pylori infection data. We assessed tissue cell type composition, DNA methylation alterations within cell populations, epigenetic aging, and repetitive element methylation. Results In normal gastric mucosa of both gastric cancer cases and control subjects, we observed increased epigenetic age acceleration associated with H. pylori infection. We also observed an increased mitotic tick rate associated with H. pylori infection in both gastric cancer cases and controls. Significant differences in immune cell populations associated with H. pylori infection in normal tissue from cancer cases and controls were identified using DNA methylation cell type deconvolution. We also found natural killer cell-specific methylation alterations in normal mucosa from gastric cancer patients with H. pylori infection. Conclusions Our findings from normal gastric mucosa provide insight into underlying cellular composition and epigenetic aspects of H. pylori associated gastric cancer etiology.
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Affiliation(s)
- Irma M. Vlasac
- Department of Epidemiology, Geisel School of Medicine at Dartmouth, Lebanon, NH 03756, USA
| | - Brock C. Christensen
- Department of Epidemiology, Geisel School of Medicine at Dartmouth, Lebanon, NH 03756, USA
- Department of Molecular and Systems Biology, Geisel School of Medicine at Dartmouth, Lebanon, NH 03756, USA
| | - Lucas A. Salas
- Department of Epidemiology, Geisel School of Medicine at Dartmouth, Lebanon, NH 03756, USA
- Department of Molecular and Systems Biology, Geisel School of Medicine at Dartmouth, Lebanon, NH 03756, USA
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L'Abbate A, Moretti V, Pungolino E, Micheloni G, Valli R, Frattini A, Barcella M, Acquati F, Reinbold RA, Costantino L, Ferrara F, Trojani A, Ventura M, Porta G, Cairoli R. Occurrence of L1M Elements in Chromosomal Rearrangements Associated to Chronic Myeloid Leukemia (CML): Insights from Patient-Specific Breakpoints Characterization. Genes (Basel) 2023; 14:1351. [PMID: 37510256 PMCID: PMC10379433 DOI: 10.3390/genes14071351] [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: 06/01/2023] [Revised: 06/19/2023] [Accepted: 06/22/2023] [Indexed: 07/30/2023] Open
Abstract
Chronic myeloid leukemia (CML) is a rare myeloproliferative disorder caused by the reciprocal translocation t(9;22)(q34;q11) in hematopoietic stem cells (HSCs). This chromosomal translocation results in the formation of an extra-short chromosome 22, called a Philadelphia chromosome (Ph), containing the BCR-ABL1 fusion gene responsible for the expression of a constitutively active tyrosine kinase that causes uncontrolled growth and replication of leukemic cells. Mechanisms behind the formation of this chromosomal rearrangement are not well known, even if, as observed in tumors, repetitive DNA may be involved as core elements in chromosomal rearrangements. We have participated in the explorative investigations of the PhilosoPhi34 study to evaluate residual Ph+ cells in patients with negative FISH analysis on CD34+/lin- cells with gDNA qPCR. Using targeted next-generation deep sequencing strategies, we analyzed the genomic region around the t(9;22) translocations of 82 CML patients and one CML cell line and assessed the relevance of interspersed repeat elements at breakpoints (BP). We found a statistically higher presence of LINE elements, in particular belonging to the subfamily L1M, in BP cluster regions of both chromosome 22 and 9 compared to the whole human genome. These data suggest that L1M elements could be potential drivers of t(9;22) translocation leading to the generation of the BCR-ABL1 chimeric gene and the expression of the active BCR-ABL1-controlled tyrosine kinase chimeric protein responsible for CML.
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Affiliation(s)
- Alberto L'Abbate
- Institute of Biomembranes, Bioenergetics, and Molecular Biotechnologies, National Research Council (IBIOM-CNR), 70125 Bari, Italy
| | - Vittoria Moretti
- Genomic Medicine Research Center, Department of Medicine and Surgery, University of Insubria, Via JH Dunant 5 Varese, 21100 Varese, Italy
| | - Ester Pungolino
- Division of Hematology, ASST Grande Ospedale Metropolitano Niguarda, 20162 Milano, Italy
| | - Giovanni Micheloni
- Genomic Medicine Research Center, Department of Medicine and Surgery, University of Insubria, Via JH Dunant 5 Varese, 21100 Varese, Italy
| | - Roberto Valli
- Genomic Medicine Research Center, Department of Medicine and Surgery, University of Insubria, Via JH Dunant 5 Varese, 21100 Varese, Italy
| | - Annalisa Frattini
- Genetics and Biomedical Research Institute, National Research Council (IRGB-CNR), 20090 Milano, Italy
| | - Matteo Barcella
- Department of Health Science, University degli Studi of Milan, Via Rudini 8, 20142 Milan, Italy
| | - Francesco Acquati
- Department of Biotechnology and Life Science, University of Insubria, Via JH Dunant 3, 21100 Varese, Italy
- Genomic Medicine Research Center, Department of Biotechnology and Life Science, University of Insubria, Via JH Dunant 3, 21100 Varese, Italy
| | - Rolland A Reinbold
- Institute of Biomedical Technologies, National Research Council of Italy, 20054 Segrate, Milano, Italy
| | - Lucy Costantino
- Department of Molecular Genetics, Centro Diagnostico Italiano, 20147 Milano, Italy
| | - Fulvio Ferrara
- Department of Molecular Genetics, Centro Diagnostico Italiano, 20147 Milano, Italy
| | - Alessandra Trojani
- Division of Hematology, ASST Grande Ospedale Metropolitano Niguarda, 20162 Milano, Italy
| | - Mario Ventura
- Department of Biology, University of Bari 'Aldo Moro', Via Edoardo Orabona 4, 70124 Bari, Italy
| | - Giovanni Porta
- Genomic Medicine Research Center, Department of Medicine and Surgery, University of Insubria, Via JH Dunant 5 Varese, 21100 Varese, Italy
| | - Roberto Cairoli
- Division of Hematology, ASST Grande Ospedale Metropolitano Niguarda, 20162 Milano, Italy
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Lynch-Sutherland CF, McDougall LI, Stockwell PA, Almomani SN, Weeks RJ, Ludgate JL, Gamage TKJB, Chatterjee A, James JL, Eccles MR, Macaulay EC. The transposable element-derived transcript of LIN28B has a placental origin and is not specific to tumours. Mol Genet Genomics 2023:10.1007/s00438-023-02033-1. [PMID: 37269361 PMCID: PMC10363060 DOI: 10.1007/s00438-023-02033-1] [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: 07/05/2022] [Accepted: 05/15/2023] [Indexed: 06/05/2023]
Abstract
Transposable elements (TEs) are genetic elements that have evolved as crucial regulators of human development and cancer, functioning as both genes and regulatory elements. When TEs become dysregulated in cancer cells, they can serve as alternate promoters to activate oncogenes, a process known as onco-exaptation. This study aimed to explore the expression and epigenetic regulation of onco-exaptation events in early human developmental tissues. We discovered co-expression of some TEs and oncogenes in human embryonic stem cells and first trimester and term placental tissues. Previous studies identified onco-exaptation events in various cancer types, including an AluJb SINE element-LIN28B interaction in lung cancer cells, and showed that the TE-derived LIN28B transcript is associated with poor patient prognosis in hepatocellular carcinoma. This study further characterized the AluJb-LIN28B transcript and confirmed that its expression is restricted to the placenta. Targeted DNA methylation analysis revealed differential methylation of the two LIN28B promoters between placenta and healthy somatic tissues, indicating that some TE-oncogene interactions are not cancer-specific but arise from the epigenetic reactivation of developmental TE-derived regulatory events. In conclusion, our findings provide evidence that some TE-oncogene interactions are not limited to cancer and may originate from the epigenetic reactivation of TE-derived regulatory events that are involved in early development. These insights broaden our understanding of the role of TEs in gene regulation and suggest the potential importance of targeting TEs in cancer therapy beyond their conventional use as cancer-specific markers.
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Affiliation(s)
- Chiemi F Lynch-Sutherland
- Department of Pathology, Dunedin School of Medicine, University of Otago, Dunedin, 9054, New Zealand.
| | - Lorissa I McDougall
- Department of Pathology, Dunedin School of Medicine, University of Otago, Dunedin, 9054, New Zealand
| | - Peter A Stockwell
- Department of Pathology, Dunedin School of Medicine, University of Otago, Dunedin, 9054, New Zealand
| | - Suzan N Almomani
- Department of Pathology, Dunedin School of Medicine, University of Otago, Dunedin, 9054, New Zealand
| | - Robert J Weeks
- Department of Pathology, Dunedin School of Medicine, University of Otago, Dunedin, 9054, New Zealand
| | - Jackie L Ludgate
- Department of Pathology, Dunedin School of Medicine, University of Otago, Dunedin, 9054, New Zealand
| | - Teena K J B Gamage
- Department of Physiology, Faculty of Medical and Health Sciences, The University of Auckland, Auckland, New Zealand
| | - Aniruddha Chatterjee
- Department of Pathology, Dunedin School of Medicine, University of Otago, Dunedin, 9054, New Zealand
- Maurice Wilkins Centre for Molecular Biodiscovery, Level 2, 3A Symonds Street, Auckland, New Zealand
| | - Joanna L James
- Department of Obstetrics and Gynaecology, Faculty of Medical and Health Sciences, The University of Auckland, Auckland, New Zealand
| | - Michael R Eccles
- Department of Pathology, Dunedin School of Medicine, University of Otago, Dunedin, 9054, New Zealand
- Maurice Wilkins Centre for Molecular Biodiscovery, Level 2, 3A Symonds Street, Auckland, New Zealand
| | - Erin C Macaulay
- Department of Pathology, Dunedin School of Medicine, University of Otago, Dunedin, 9054, New Zealand
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Ma Y, Budde MW, Zhu J, Elowitz MB. Tuning methylation-dependent silencing dynamics by synthetic modulation of CpG density. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.05.30.542205. [PMID: 37398290 PMCID: PMC10312471 DOI: 10.1101/2023.05.30.542205] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/04/2023]
Abstract
Methylation of cytosines in CG dinucleotides (CpGs) within promoters has been shown to lead to gene silencing in mammals in natural contexts. Recently, engineered recruitment of methyltransferases (DNMTs) at specific loci was shown to be sufficient to silence synthetic and endogenous gene expression through this mechanism. A critical parameter for DNA methylation-based silencing is the distribution of CpGs within the target promoter. However, how the number or density of CpGs in the target promoter affects the dynamics of silencing by DNMT recruitment has remained unclear. Here we constructed a library of promoters with systematically varying CpG content, and analyzed the rate of silencing in response to recruitment of DNMT. We observed a tight correlation between silencing rate and CpG content. Further, methylation-specific analysis revealed a constant accumulation rate of methylation at the promoter after DNMT recruitment. We identified a single CpG site between TATA box and transcription start site (TSS) that accounted for a substantial part of the difference in silencing rates between promoters with differing CpG content, indicating that certain residues play disproportionate roles in controlling silencing. Together, these results provide a library of promoters for synthetic epigenetic and gene regulation applications, as well as insights into the regulatory link between CpG content and silencing rate.
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Affiliation(s)
- Yitong Ma
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA91125, USA
| | - Mark W. Budde
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA91125, USA
- Primordium Labs, Arcadia, CA 91006, USA
| | - Junqin Zhu
- Department of Biology, Stanford University, Stanford, CA 94305, USA
| | - Michael B. Elowitz
- Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA91125, USA
- Howard Hughes Medical Institute, California Institute of Technology, Pasadena, CA 91125, USA
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Pham TMQ, Phan TH, Jasmine TX, Tran TTT, Huynh LAK, Vo TL, Nai THT, Tran TT, Truong MH, Tran NC, Nguyen VTC, Nguyen TH, Nguyen THH, Le NDK, Nguyen TD, Nguyen DS, Truong DK, Do TTT, Phan MD, Giang H, Nguyen HN, Tran LS. Multimodal analysis of genome-wide methylation, copy number aberrations, and end motif signatures enhances detection of early-stage breast cancer. Front Oncol 2023; 13:1127086. [PMID: 37223690 PMCID: PMC10200909 DOI: 10.3389/fonc.2023.1127086] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Accepted: 04/24/2023] [Indexed: 05/25/2023] Open
Abstract
Introduction Breast cancer causes the most cancer-related death in women and is the costliest cancer in the US regarding medical service and prescription drug expenses. Breast cancer screening is recommended by health authorities in the US, but current screening efforts are often compromised by high false positive rates. Liquid biopsy based on circulating tumor DNA (ctDNA) has emerged as a potential approach to screen for cancer. However, the detection of breast cancer, particularly in early stages, is challenging due to the low amount of ctDNA and heterogeneity of molecular subtypes. Methods Here, we employed a multimodal approach, namely Screen for the Presence of Tumor by DNA Methylation and Size (SPOT-MAS), to simultaneously analyze multiple signatures of cell free DNA (cfDNA) in plasma samples of 239 nonmetastatic breast cancer patients and 278 healthy subjects. Results We identified distinct profiles of genome-wide methylation changes (GWM), copy number alterations (CNA), and 4-nucleotide oligomer (4-mer) end motifs (EM) in cfDNA of breast cancer patients. We further used all three signatures to construct a multi-featured machine learning model and showed that the combination model outperformed base models built from individual features, achieving an AUC of 0.91 (95% CI: 0.87-0.95), a sensitivity of 65% at 96% specificity. Discussion Our findings showed that a multimodal liquid biopsy assay based on analysis of cfDNA methylation, CNA and EM could enhance the accuracy for the detection of early- stage breast cancer.
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Affiliation(s)
- Thi Mong Quynh Pham
- Medical Genetics Institute, Ho Chi Minh, Vietnam
- Research and Development Department Gene Solutions, Ho Chi Minh, Vietnam
| | - Thanh Hai Phan
- Ultrasound Department Medic Medical Center, Ho Chi Minh, Vietnam
| | | | - Thuy Thi Thu Tran
- Medical Genetics Institute, Ho Chi Minh, Vietnam
- Research and Development Department Gene Solutions, Ho Chi Minh, Vietnam
| | - Le Anh Khoa Huynh
- Medical Genetics Institute, Ho Chi Minh, Vietnam
- Department of Biostatistics, School of Medicine, Virginia Commonwealth University, Richmond, VA, United States
| | - Thi Loan Vo
- Ultrasound Department Medic Medical Center, Ho Chi Minh, Vietnam
| | | | - Thuy Trang Tran
- Ultrasound Department Medic Medical Center, Ho Chi Minh, Vietnam
| | - My Hoang Truong
- Ultrasound Department Medic Medical Center, Ho Chi Minh, Vietnam
| | - Ngan Chau Tran
- Ultrasound Department Medic Medical Center, Ho Chi Minh, Vietnam
| | - Van Thien Chi Nguyen
- Medical Genetics Institute, Ho Chi Minh, Vietnam
- Research and Development Department Gene Solutions, Ho Chi Minh, Vietnam
| | - Trong Hieu Nguyen
- Medical Genetics Institute, Ho Chi Minh, Vietnam
- Research and Development Department Gene Solutions, Ho Chi Minh, Vietnam
| | - Thi Hue Hanh Nguyen
- Medical Genetics Institute, Ho Chi Minh, Vietnam
- Research and Development Department Gene Solutions, Ho Chi Minh, Vietnam
| | - Nguyen Duy Khang Le
- Medical Genetics Institute, Ho Chi Minh, Vietnam
- Research and Development Department Gene Solutions, Ho Chi Minh, Vietnam
| | - Thanh Dat Nguyen
- Medical Genetics Institute, Ho Chi Minh, Vietnam
- Research and Development Department Gene Solutions, Ho Chi Minh, Vietnam
| | - Duy Sinh Nguyen
- Research and Development Department Gene Solutions, Ho Chi Minh, Vietnam
- Faculty of Medicine Nguyen Tat Thanh University, Ho Chi Minh, Vietnam
| | | | | | - Minh-Duy Phan
- Medical Genetics Institute, Ho Chi Minh, Vietnam
- Research and Development Department Gene Solutions, Ho Chi Minh, Vietnam
| | - Hoa Giang
- Medical Genetics Institute, Ho Chi Minh, Vietnam
- Research and Development Department Gene Solutions, Ho Chi Minh, Vietnam
| | - Hoai-Nghia Nguyen
- Medical Genetics Institute, Ho Chi Minh, Vietnam
- Research and Development Department Gene Solutions, Ho Chi Minh, Vietnam
| | - Le Son Tran
- Medical Genetics Institute, Ho Chi Minh, Vietnam
- Research and Development Department Gene Solutions, Ho Chi Minh, Vietnam
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Xu Y, Hirachan S, Shen Y, Huang Q, Bhandari A, Xia E. The pan-cancer analysis of the oncogenic role of FAM72A as a BRCA prognostic biomarker and immunotherapeutic target. ENVIRONMENTAL TOXICOLOGY 2023; 38:1100-1117. [PMID: 36757015 DOI: 10.1002/tox.23751] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/10/2022] [Revised: 01/17/2023] [Accepted: 01/27/2023] [Indexed: 06/18/2023]
Abstract
In this study, we first comprehensively investigated the expression profile, mutation status, and survival analysis of FAM72A as well as the correlation between FAM72A and DNA damage repair, methylation, and cell stemness analysis using bioinformatics techniques. In addition, we also analyzed the relationship between FAM72A and immune cell infiltration and pathway enrichment. The role of FAM72A in breast cancer (BC) was so conspicuous that we analyzed the prognostic significance and clinicopathological parameter's relevance of FAM72A in BC. We also validated biological functions by applying in vitro experiments. FAM72A was highly expressed in 26 types of a total of 31 cancers, while it expressed low levels in only five cancers. FAM72A expression was relative to clinical stages in nine cancers and has a significant difference in disease-free survival among 31 kinds of cancers. In addition, FAM72A has negatively correlated with cancer-associated fibroblast and endothelial cells in BC but positively correlated with follicular helper T cells. Univariate and multivariate cox regression analyses identified T, N, M, age, and FAM72A expression as independent influences on BC prognosis, so we created a nomogram to predict patient survival benefits. In in vitro experiments, we verified that downregulation of FAM72A not only inhibited cell proliferation, colony formation, cell migration, cell invasion, and G2/M cell cycle transition but also promoted apoptosis of breast invasive carcinoma cells. Our study discovered FAM72A as a clinically meaningful biomarker for prognostic predicting and a guiding target for immune treatment in BC.
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Affiliation(s)
- Yiying Xu
- Department of Breast Surgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Suzita Hirachan
- Department of General Surgery, Breast and Thyroid Unit, Tribhuvan University Teaching Hospital, Kathmandu, Nepal
| | - Yanyan Shen
- Department of Breast Surgery, The Second Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Qidi Huang
- Department of Breast Surgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Adheesh Bhandari
- Department of Breast Surgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
- Department of General Surgery, Breast and Thyroid Unit, Primera Hospital, Kathmandu, Nepal
| | - Erjie Xia
- Department of Breast Surgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
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Alfonso Perez G, Delgado Martinez V. Epigenetic Signatures in Hypertension. J Pers Med 2023; 13:jpm13050787. [PMID: 37240957 DOI: 10.3390/jpm13050787] [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: 03/21/2023] [Revised: 04/21/2023] [Accepted: 04/28/2023] [Indexed: 05/28/2023] Open
Abstract
Clear epigenetic signatures were found in hypertensive and pre-hypertensive patients using DNA methylation data and neural networks in a classification algorithm. It is shown how by selecting an appropriate subset of CpGs it is possible to achieve a mean accuracy classification of 86% for distinguishing control and hypertensive (and pre-hypertensive) patients using only 2239 CpGs. Furthermore, it is also possible to obtain a statistically comparable model achieving an 83% mean accuracy using only 22 CpGs. Both of these approaches represent a substantial improvement over using the entire amount of available CpGs, which resulted in the neural network not generating accurate classifications. An optimization approach is followed to select the CpGs to be used as the base for a model distinguishing between hypertensive and pre-hypertensive individuals. It is shown that it is possible to find methylation signatures using machine learning techniques, which can be applied to distinguish between control (healthy) individuals, pre-hypertensive individuals and hypertensive individuals, illustrating an associated epigenetic impact. Identifying epigenetic signatures might lead to more targeted treatments for patients in the future.
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Ergun P, Kipcak S, Bor S. Epigenetic Alterations from Barrett's Esophagus to Esophageal Adenocarcinoma. Int J Mol Sci 2023; 24:ijms24097817. [PMID: 37175524 PMCID: PMC10178512 DOI: 10.3390/ijms24097817] [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: 03/24/2023] [Revised: 04/17/2023] [Accepted: 04/23/2023] [Indexed: 05/15/2023] Open
Abstract
Barrett's esophagus (BE) is a disease entity that is a sequela of chronic gastroesophageal reflux disease that may result in esophageal adenocarcinoma (EAC) due to columnar epithelial dysplasia. The histological degree of dysplasia is the sole biomarker frequently utilized by clinicians. However, the cost of endoscopy and the fact that the degree of dysplasia does not progress in many patients with BE diminish the effectiveness of histological grading as a perfect biomarker. Multiple or more quantitative biomarkers are required by clinicians since early diagnosis is crucial in esophageal adenocancers, which have a high mortality rate. The presence of epigenetic factors in the early stages of this neoplastic transformation holds promise as a predictive biomarker. In this review, current studies on DNA methylations, histone modifications, and noncoding RNAs (miRNAs) that have been discovered during the progression from BE dysplasia to EAC were collated.
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Affiliation(s)
- Pelin Ergun
- Ege Reflux Study Group, Division of Gastroenterology, Faculty of Medicine, Ege University, 35040 Izmir, Türkiye
- Department of Medical Biochemistry, Faculty of Medicine, Ege University, 35040 Izmir, Türkiye
| | - Sezgi Kipcak
- Ege Reflux Study Group, Division of Gastroenterology, Faculty of Medicine, Ege University, 35040 Izmir, Türkiye
- Department of Medical Biology, Faculty of Medicine, Ege University, 35040 Izmir, Türkiye
| | - Serhat Bor
- Ege Reflux Study Group, Division of Gastroenterology, Faculty of Medicine, Ege University, 35040 Izmir, Türkiye
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Asif H, Foley G, Simon M, Roque D, Kim JJ. Analysis of endometrial carcinoma TCGA reveals differences in DNA methylation in tumors from Black and White women. Gynecol Oncol 2023; 170:1-10. [PMID: 36580834 PMCID: PMC10023328 DOI: 10.1016/j.ygyno.2022.12.011] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2022] [Revised: 12/16/2022] [Accepted: 12/19/2022] [Indexed: 12/28/2022]
Abstract
OBJECTIVE Racial disparities exist in cancer patients both in incidence and death rates. In endometrial cancer, Black patients are reported to have higher incidence of aggressive endometrial cancer subtypes and higher death rates than White women. To date, diagnostic and prognostic biomarkers associated with race-specific methylation driven genes have yet to be identified. The objective of this study was to explore DNA methylation patterns in endometrial tumor samples from White and Black women. METHODS Differentially methylated CpGs (DMCs) and differentially methylated regions (DMRs) were identified in White tumor samples compared to Black tumor samples using Endometrial Carcinoma (EC) methylation and clinical data from The Cancer Genome Atlas (TCGA). Survival analysis was performed using survival R package and results were visualized using Kaplan-Meier plots. To access the correlation between changes in methylation and gene expression, we downloaded raw RNA-sequencing by Expectation-Maximization (RSEM) counts data from The Cancer Genome Atlas (TCGA) using TCGABiolinks package (v2.18.0). RESULTS Our analysis revealed 704 differentially methylated CpGs in tumors from Black and White women. These differentially methylated genes showed strong negative correlation with gene expression and statistically significant enrichment in regulatory regions such as DNase I hypersensitivity sites (DHSs) and transcription factor binding sites (TFBSs). Increased variability in methylation occurred in genes such as the insulin signaling pathway in Black tumor samples. CONCLUSION By using two independent statistical method based on means (DMR, DMCs) and variances (DVCs) on the endometrial carcinoma TCGA data, we showed that endometrial tumors from Black women are hypomethylated and more hypervariable than tumors from White women. In-depth investigation of these methylation driven markers can aid in successful management of endometrial cancer disparities and improved overall survival in Black and White populations.
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Affiliation(s)
- Huma Asif
- Department of Obstetrics and Gynecology, Feinberg School of Medicine, Northwestern University, USA
| | - Grace Foley
- Department of Obstetrics and Gynecology, Feinberg School of Medicine, Northwestern University, USA
| | - Melissa Simon
- Department of Obstetrics and Gynecology, Feinberg School of Medicine, Northwestern University, USA
| | - Dario Roque
- Department of Obstetrics and Gynecology, Feinberg School of Medicine, Northwestern University, USA
| | - J Julie Kim
- Department of Obstetrics and Gynecology, Feinberg School of Medicine, Northwestern University, USA.
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Luzna P, Weiser Drozdkova D, Flodrova P, Ondruskova K, Uberall I, Minarik J, Kolar Z, Smesny Trtkova K. Global DNA methylation and increased DNMT3A expression in multiple myeloma patients. Biomed Pap Med Fac Univ Palacky Olomouc Czech Repub 2023; 167:43-49. [PMID: 35173353 DOI: 10.5507/bp.2022.006] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2022] [Accepted: 02/02/2022] [Indexed: 12/14/2022] Open
Abstract
AIMS The aim of this study was to compare the expression profile of selected DNA methyltransferases and global DNA methylation status in patients with different phases of multiple myeloma (MM) . For the analysis, different cellular populations including unsorted myeloma cells and a set of plasma cells purified by relevant antibodies were used. Consequently, laboratory data were compared to patients' clinical data. PATIENTS AND METHODS For the analysis, unsorted bone marrow cell population of 44 MM patients (30 newly diagnosed, 9 relapsed and 5 patients in remission) and a set of 8 patients' samples of sorted plasma cells were used. We used commercially available RNA isolated from BM of 3 healthy individuals as control samples. Expression analysis of three DNA methyltransferases - DNMT1, DNMT3A, and DNMT3B was performed by quantitative RT-PCR and the patient global DNA methylation profiles were detected by colorimetric assay. RESULTS Unchanged DNMT1 expression was detected in the selected cohort of patients. Normalized DNMT3A gene expression was globally higher in comparison with controls in unsorted and sorted cell populations. Low (0.08-1.81%) global DNA methylation status in unsorted samples of multiple myeloma patients did not correlate either with expression profiles of monitored DNA methyltransferases or with the stages of MM based on Durie-Salmon and International Staging System. CONCLUSION This is the first comparative study between DNA methyltransferases expression profiles and global DNA methylation status in different phases of multiple myeloma patients. No significant correlation between the level of global methylation and the clinical stage of the unsorted cell population of patients with multiple myeloma was registered. Overexpression of the DNMT3A gene occurred in both sorted and unsorted cell populations of patients with multiple myeloma. This fact highlights the DNMT3A as a potential marker of multiple myeloma tumor progression. Moreover, we demonstrated comparable results in the expression of DNA methyltransferases in both sorted and unsorted cell populations. This is a promising result from the methodical point of view because when compared to samples of unsorted multiple myeloma cells, samples of sorted cells bring reduction of the number of possible analyses performed.
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Affiliation(s)
- Petra Luzna
- Department of Clinical and Molecular Pathology, Faculty of Medicine and Dentistry, Palacky University Olomouc, Czech Republic
| | - Denisa Weiser Drozdkova
- Department of Clinical and Molecular Pathology, Faculty of Medicine and Dentistry, Palacky University Olomouc, Czech Republic
| | - Pavla Flodrova
- Department of Clinical and Molecular Pathology, Faculty of Medicine and Dentistry, Palacky University Olomouc, Czech Republic
| | - Katarina Ondruskova
- Department of Clinical and Molecular Pathology, Faculty of Medicine and Dentistry, Palacky University Olomouc, Czech Republic
| | - Ivo Uberall
- Department of Clinical and Molecular Pathology, Faculty of Medicine and Dentistry, Palacky University Olomouc, Czech Republic
| | - Jiri Minarik
- Department of Hemato-Oncology, University Hospital Olomouc, Czech Republic.,Department of Hemato-Oncology, Faculty of Medicine and Dentistry, Palacky University Olomouc, Czech Republic
| | - Zdenek Kolar
- Department of Clinical and Molecular Pathology, Faculty of Medicine and Dentistry, Palacky University Olomouc, Czech Republic
| | - Katerina Smesny Trtkova
- Department of Clinical and Molecular Pathology, Faculty of Medicine and Dentistry, Palacky University Olomouc, Czech Republic.,Institute of Molecular and Translational Medicine, Faculty of Medicine and Dentistry, Palacky University Olomouc, Czech Republic
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Ghaffarinia A, Ayaydin F, Póliska S, Manczinger M, Bolla BS, Flink LB, Balogh F, Veréb Z, Bozó R, Szabó K, Bata-Csörgő Z, Kemény L. Psoriatic Resolved Skin Epidermal Keratinocytes Retain Disease-Residual Transcriptomic and Epigenomic Profiles. Int J Mol Sci 2023; 24:ijms24054556. [PMID: 36901987 PMCID: PMC10002496 DOI: 10.3390/ijms24054556] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2022] [Revised: 02/17/2023] [Accepted: 02/21/2023] [Indexed: 03/02/2023] Open
Abstract
The disease-residual transcriptomic profile (DRTP) within psoriatic healed/resolved skin and epidermal tissue-resident memory T (TRM) cells have been proposed to be crucial for the recurrence of old lesions. However, it is unclear whether epidermal keratinocytes are involved in disease recurrence. There is increasing evidence regarding the importance of epigenetic mechanisms in the pathogenesis of psoriasis. Nonetheless, the epigenetic changes that contribute to the recurrence of psoriasis remain unknown. The aim of this study was to elucidate the role of keratinocytes in psoriasis relapse. The epigenetic marks 5-methylcytosine (5-mC) and 5-hydroxymethylcytosine (5-hmC) were visualized using immunofluorescence staining, and RNA sequencing was performed on paired never-lesional and resolved epidermal and dermal compartments of skin from psoriasis patients. We observed diminished 5-mC and 5-hmC amounts and decreased mRNA expression of the ten-eleven translocation (TET) 3 enzyme in the resolved epidermis. SAMHD1, C10orf99, and AKR1B10: the highly dysregulated genes in resolved epidermis are known to be associated with pathogenesis of psoriasis, and the DRTP was enriched in WNT, TNF, and mTOR signaling pathways. Our results suggest that epigenetic changes detected in epidermal keratinocytes of resolved skin may be responsible for the DRTP in the same regions. Thus, the DRTP of keratinocytes may contribute to site-specific local relapse.
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Affiliation(s)
- Ameneh Ghaffarinia
- HCEMM-USZ Skin Research Group, H-6720 Szeged, Hungary
- Department of Dermatology and Allergology, Albert Szent-Györgyi Medical School, University of Szeged, H-6720 Szeged, Hungary
| | - Ferhan Ayaydin
- HCEMM-USZ, Functional Cell Biology and Immunology, Advanced Core Facility, H-6728 Szeged, Hungary
- Laboratory of Cellular Imaging, Biological Research Centre, Eötvös Loránd Research Network, H-6726 Szeged, Hungary
- Institute of Plant Biology, Biological Research Centre, H-6726 Szeged, Hungary
| | - Szilárd Póliska
- Genomic Medicine and Bioinformatics Core Facility, Department of Biochemistry and Molecular Biology, Faculty of Medicine, University of Debrecen, H-4032 Debrecen, Hungary
| | - Máté Manczinger
- Department of Dermatology and Allergology, Albert Szent-Györgyi Medical School, University of Szeged, H-6720 Szeged, Hungary
- Systems Immunology Research Group, Institute of Biochemistry, Biological Research Centre, ELKH, H-6726 Szeged, Hungary
- HCEMM-Systems Immunology Research Group, H-6726 Szeged, Hungary
| | - Beáta Szilvia Bolla
- HCEMM-USZ Skin Research Group, H-6720 Szeged, Hungary
- Department of Dermatology and Allergology, Albert Szent-Györgyi Medical School, University of Szeged, H-6720 Szeged, Hungary
| | - Lili Borbála Flink
- HCEMM-USZ Skin Research Group, H-6720 Szeged, Hungary
- Department of Dermatology and Allergology, Albert Szent-Györgyi Medical School, University of Szeged, H-6720 Szeged, Hungary
| | - Fanni Balogh
- HCEMM-USZ Skin Research Group, H-6720 Szeged, Hungary
- Department of Dermatology and Allergology, Albert Szent-Györgyi Medical School, University of Szeged, H-6720 Szeged, Hungary
- ELKH-SZTE Dermatological Research Group, Department of Dermatology and Allergology, University of Szeged, H-6720 Szeged, Hungary
| | - Zoltán Veréb
- Regenerative Medicine and Cellular Pharmacology Laboratory (HECRIN), Department of Dermatology and Allergology, University of Szeged, H-6720 Szeged, Hungary
- Research Institute of Translational Biomedicine, Department of Dermatology and Allergology, University of Szeged, H-6720 Szeged, Hungary
| | - Renáta Bozó
- HCEMM-USZ Skin Research Group, H-6720 Szeged, Hungary
- Department of Dermatology and Allergology, Albert Szent-Györgyi Medical School, University of Szeged, H-6720 Szeged, Hungary
- ELKH-SZTE Dermatological Research Group, Department of Dermatology and Allergology, University of Szeged, H-6720 Szeged, Hungary
| | - Kornélia Szabó
- HCEMM-USZ Skin Research Group, H-6720 Szeged, Hungary
- Department of Dermatology and Allergology, Albert Szent-Györgyi Medical School, University of Szeged, H-6720 Szeged, Hungary
- ELKH-SZTE Dermatological Research Group, Department of Dermatology and Allergology, University of Szeged, H-6720 Szeged, Hungary
| | - Zsuzsanna Bata-Csörgő
- HCEMM-USZ Skin Research Group, H-6720 Szeged, Hungary
- Department of Dermatology and Allergology, Albert Szent-Györgyi Medical School, University of Szeged, H-6720 Szeged, Hungary
- ELKH-SZTE Dermatological Research Group, Department of Dermatology and Allergology, University of Szeged, H-6720 Szeged, Hungary
| | - Lajos Kemény
- HCEMM-USZ Skin Research Group, H-6720 Szeged, Hungary
- Department of Dermatology and Allergology, Albert Szent-Györgyi Medical School, University of Szeged, H-6720 Szeged, Hungary
- ELKH-SZTE Dermatological Research Group, Department of Dermatology and Allergology, University of Szeged, H-6720 Szeged, Hungary
- Correspondence:
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Wang P, Liu X, Yu J, Meng Z, Lv Z, Shang C, Geng Q, Wang D, Xue D, Li L. Fucosyltransferases Regulated by Fusobacterium Nucleatum and Act as Novel Biomarkers in Colon Adenocarcinoma. J Inflamm Res 2023; 16:747-768. [PMID: 36852302 PMCID: PMC9960735 DOI: 10.2147/jir.s396484] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2022] [Accepted: 02/03/2023] [Indexed: 02/22/2023] Open
Abstract
Purpose Colon adenocarcinoma (COAD) is one of the leading causes of cancer-associated mortality worldwide. Fucosyltransferases (FUTs) are associated with numerous cancers. We aimed to investigate the functions of FUTs in COAD. Patients and Methods Transcriptomic and clinical data from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases were used to analyze the expression and clinical relevance of FUTs in COAD. Real Time Quantitative PCR (RT-qPCR), Western blot, immunohistochemistry and ELISA were used to detect the relative RNA and protein expression levels. Colitis-associated cancer mice treated with Fusobacterium nucleatum were used to illustrate the effects of Fusobacterium nucleatum on FUTs and COAD. Luciferase reporting assay was used to investigate the binding of miRNA to mRNA. Results TCGA and GEO datasets showed abnormal expression of FUTs in COAD at transcript level. RT-qPCR, Western blot and immunohistochemistry showed increased expression of FUT1, POFUT1 and POFUT2 in COAD. COAD patients with a high expression of FUT1, FUT11, FUT13 (POFUT2) had a worse prognosis, while patients with a high expression of FUT2, FUT3, FUT6 had a better prognosis. FUT1 and POFUT2 could independently predict the prognosis of COAD patients. Functional analysis by CancerSEA database showed that FUT3, FUT6, FUT8, FUT12 (POFUT1) and FUT13 are associated with differentiation, apoptosis, invasion, quiescence, and hypoxia. FUTs are associated with the tumor microenvironment of COAD. FUT1 regulated by miR-939-3p inhibit the expression of MUC2. Fusobacterium nucleatum may affect the expression of FUTs by affecting their transcription factors and miRNA levels. Moreover, Fusobacterium nucleatum promotes COAD progression through the miR-939-3p/FUT1/MUC2 axis. Conclusion Fucosyltransferases play an important role and may be the mediator of Fusobacterium nucleatum promoting COAD progression.
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Affiliation(s)
- Pengfei Wang
- Department of General Surgery, The First Affiliated Hospital of Harbin Medical University, Harbin, People’s Republic of China,Key Laboratory of Hepatosplenic Surgery, Ministry of Education, The First Affiliated Hospital of Harbin Medical University, Harbin, People’s Republic of China
| | - Xuxu Liu
- Department of General Surgery, The First Affiliated Hospital of Harbin Medical University, Harbin, People’s Republic of China,Key Laboratory of Hepatosplenic Surgery, Ministry of Education, The First Affiliated Hospital of Harbin Medical University, Harbin, People’s Republic of China
| | - Jingjing Yu
- Department of General Surgery, The First Affiliated Hospital of Harbin Medical University, Harbin, People’s Republic of China,Key Laboratory of Hepatosplenic Surgery, Ministry of Education, The First Affiliated Hospital of Harbin Medical University, Harbin, People’s Republic of China
| | - Ziang Meng
- Department of General Surgery, The First Affiliated Hospital of Harbin Medical University, Harbin, People’s Republic of China,Key Laboratory of Hepatosplenic Surgery, Ministry of Education, The First Affiliated Hospital of Harbin Medical University, Harbin, People’s Republic of China
| | - Zhenyi Lv
- Department of General Surgery, The First Affiliated Hospital of Harbin Medical University, Harbin, People’s Republic of China,Key Laboratory of Hepatosplenic Surgery, Ministry of Education, The First Affiliated Hospital of Harbin Medical University, Harbin, People’s Republic of China
| | - Ce Shang
- Department of General Surgery, The First Affiliated Hospital of Harbin Medical University, Harbin, People’s Republic of China,Key Laboratory of Hepatosplenic Surgery, Ministry of Education, The First Affiliated Hospital of Harbin Medical University, Harbin, People’s Republic of China
| | - Qi Geng
- Department of General Surgery, The First Affiliated Hospital of Harbin Medical University, Harbin, People’s Republic of China,Key Laboratory of Hepatosplenic Surgery, Ministry of Education, The First Affiliated Hospital of Harbin Medical University, Harbin, People’s Republic of China
| | - Dawei Wang
- Department of General Surgery, The First Affiliated Hospital of Harbin Medical University, Harbin, People’s Republic of China,Key Laboratory of Hepatosplenic Surgery, Ministry of Education, The First Affiliated Hospital of Harbin Medical University, Harbin, People’s Republic of China,Correspondence: Dawei Wang, Department of General Surgery, The First Affiliated Hospital of Harbin Medical University, 23 Youzheng Street, Harbin, 150001, People’s Republic of China, Tel/Fax +86 451 85555776, Email
| | - Dongbo Xue
- Department of General Surgery, The First Affiliated Hospital of Harbin Medical University, Harbin, People’s Republic of China,Key Laboratory of Hepatosplenic Surgery, Ministry of Education, The First Affiliated Hospital of Harbin Medical University, Harbin, People’s Republic of China
| | - Long Li
- Intestinal Microenvironment Treatment Center of General Surgery, Shanghai Tenth People’s Hospital, Tenth People’s Hospital of Tongji University, Shanghai, People’s Republic of China,Long Li, Intestinal Microenvironment Treatment Center of General Surgery, Shanghai Tenth People’s Hospital, Tenth People’s Hospital of Tongji University, 301 Yanchang Middle Road, Shanghai, 200072, People’s Republic of China, Tel/Fax +86 21 66307011, Email
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Weber LM, Jia Y, Stielow B, Gisselbrecht S, Cao Y, Ren Y, Rohner I, King J, Rothman E, Fischer S, Simon C, Forné I, Nist A, Stiewe T, Bulyk M, Wang Z, Liefke R. The histone acetyltransferase KAT6A is recruited to unmethylated CpG islands via a DNA binding winged helix domain. Nucleic Acids Res 2023; 51:574-594. [PMID: 36537216 PMCID: PMC9881136 DOI: 10.1093/nar/gkac1188] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2022] [Revised: 11/04/2022] [Accepted: 11/29/2022] [Indexed: 12/24/2022] Open
Abstract
The lysine acetyltransferase KAT6A (MOZ, MYST3) belongs to the MYST family of chromatin regulators, facilitating histone acetylation. Dysregulation of KAT6A has been implicated in developmental syndromes and the onset of acute myeloid leukemia (AML). Previous work suggests that KAT6A is recruited to its genomic targets by a combinatorial function of histone binding PHD fingers, transcription factors and chromatin binding interaction partners. Here, we demonstrate that a winged helix (WH) domain at the very N-terminus of KAT6A specifically interacts with unmethylated CpG motifs. This DNA binding function leads to the association of KAT6A with unmethylated CpG islands (CGIs) genome-wide. Mutation of the essential amino acids for DNA binding completely abrogates the enrichment of KAT6A at CGIs. In contrast, deletion of a second WH domain or the histone tail binding PHD fingers only subtly influences the binding of KAT6A to CGIs. Overexpression of a KAT6A WH1 mutant has a dominant negative effect on H3K9 histone acetylation, which is comparable to the effects upon overexpression of a KAT6A HAT domain mutant. Taken together, our work revealed a previously unrecognized chromatin recruitment mechanism of KAT6A, offering a new perspective on the role of KAT6A in gene regulation and human diseases.
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Affiliation(s)
- Lisa Marie Weber
- Institute of Molecular Biology and Tumor Research (IMT), Philipps University of Marburg, Marburg 35043, Germany
| | - Yulin Jia
- Key Laboratory of Cell Proliferation and Regulation Biology of Ministry of Education, College of Life Sciences, Beijing Normal University, Beijing 100875, China
| | - Bastian Stielow
- Institute of Molecular Biology and Tumor Research (IMT), Philipps University of Marburg, Marburg 35043, Germany
| | - Stephen S Gisselbrecht
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Yinghua Cao
- Key Laboratory of Cell Proliferation and Regulation Biology of Ministry of Education, College of Life Sciences, Beijing Normal University, Beijing 100875, China
| | - Yanpeng Ren
- Key Laboratory of Cell Proliferation and Regulation Biology of Ministry of Education, College of Life Sciences, Beijing Normal University, Beijing 100875, China
| | - Iris Rohner
- Institute of Molecular Biology and Tumor Research (IMT), Philipps University of Marburg, Marburg 35043, Germany
| | - Jessica King
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Elisabeth Rothman
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Sabrina Fischer
- Institute of Molecular Biology and Tumor Research (IMT), Philipps University of Marburg, Marburg 35043, Germany
| | - Clara Simon
- Institute of Molecular Biology and Tumor Research (IMT), Philipps University of Marburg, Marburg 35043, Germany
| | - Ignasi Forné
- Protein Analysis Unit, Biomedical Center (BMC), Faculty of Medicine, Ludwig-Maximilians-University (LMU) Munich, Martinsried 82152, Germany
| | - Andrea Nist
- Genomics Core Facility, Institute of Molecular Oncology, Member of the German Center for Lung Research (DZL), Philipps University of Marburg, Marburg 35043, Germany
| | - Thorsten Stiewe
- Genomics Core Facility, Institute of Molecular Oncology, Member of the German Center for Lung Research (DZL), Philipps University of Marburg, Marburg 35043, Germany
| | - Martha L Bulyk
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
- Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Zhanxin Wang
- Key Laboratory of Cell Proliferation and Regulation Biology of Ministry of Education, College of Life Sciences, Beijing Normal University, Beijing 100875, China
| | - Robert Liefke
- Institute of Molecular Biology and Tumor Research (IMT), Philipps University of Marburg, Marburg 35043, Germany
- Department of Hematology, Oncology, and Immunology, University Hospital Giessen and Marburg, Marburg 35043, Germany
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Wu S, Jiang L, Lei L, Fu C, Huang J, Hu Y, Dong Y, Chen J, Zeng Q. Crosstalk between G-quadruplex and ROS. Cell Death Dis 2023; 14:37. [PMID: 36653351 PMCID: PMC9849334 DOI: 10.1038/s41419-023-05562-0] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2022] [Revised: 12/25/2022] [Accepted: 01/05/2023] [Indexed: 01/19/2023]
Abstract
The excessive production of reactive oxygen species (ROS) can lead to single nucleic acid base damage, DNA strand breakage, inter- and intra-strand cross-linking of nucleic acids, and protein-DNA cross-linking involved in the pathogenesis of cancer, neurodegenerative diseases, and aging. G-quadruplex (G4) is a stacked nucleic acid structure that is ubiquitous across regulatory regions of multiple genes. Abnormal formation and destruction of G4s due to multiple factors, including cations, helicases, transcription factors (TFs), G4-binding proteins, and epigenetic modifications, affect gene replication, transcription, translation, and epigenetic regulation. Due to the lower redox potential of G-rich sequences and unique structural characteristics, G4s are highly susceptible to oxidative damage. Additionally, the formation, stability, and biological regulatory role of G4s are affected by ROS. G4s are involved in regulating gene transcription, translation, and telomere length maintenance, and are therefore key players in age-related degeneration. Furthermore, G4s also mediate the antioxidant process by forming stress granules and activating Nrf2, which is suggestive of their involvement in developing ROS-related diseases. In this review, we have summarized the crosstalk between ROS and G4s, and the possible regulatory mechanisms through which G4s play roles in aging and age-related diseases.
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Affiliation(s)
- Songjiang Wu
- Department of Dermatology, Third Xiangya Hospital, Central South University, 138 Tongzipo Road, 410013, Changsha, Hunan, PR China
| | - Ling Jiang
- Department of Dermatology, Third Xiangya Hospital, Central South University, 138 Tongzipo Road, 410013, Changsha, Hunan, PR China
| | - Li Lei
- Department of Dermatology, Third Xiangya Hospital, Central South University, 138 Tongzipo Road, 410013, Changsha, Hunan, PR China
| | - Chuhan Fu
- Department of Dermatology, Third Xiangya Hospital, Central South University, 138 Tongzipo Road, 410013, Changsha, Hunan, PR China
| | - Jinhua Huang
- Department of Dermatology, Third Xiangya Hospital, Central South University, 138 Tongzipo Road, 410013, Changsha, Hunan, PR China
| | - Yibo Hu
- Department of Dermatology, Third Xiangya Hospital, Central South University, 138 Tongzipo Road, 410013, Changsha, Hunan, PR China
| | - Yumeng Dong
- Department of Dermatology, Third Xiangya Hospital, Central South University, 138 Tongzipo Road, 410013, Changsha, Hunan, PR China
| | - Jing Chen
- Department of Dermatology, Third Xiangya Hospital, Central South University, 138 Tongzipo Road, 410013, Changsha, Hunan, PR China.
| | - Qinghai Zeng
- Department of Dermatology, Third Xiangya Hospital, Central South University, 138 Tongzipo Road, 410013, Changsha, Hunan, PR China.
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Go KO, Kim YZ. Brain Invasion and Trends in Molecular Research on Meningioma. Brain Tumor Res Treat 2023; 11:47-58. [PMID: 36762808 PMCID: PMC9911709 DOI: 10.14791/btrt.2022.0044] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2022] [Revised: 01/06/2023] [Accepted: 01/09/2023] [Indexed: 02/05/2023] Open
Abstract
Meningiomas are the most common primary brain tumors in adults. The treatment of non-benign meningiomas remains a challenging task, and after the publication of the 2021 World Health Organization classification, the importance of molecular biological classification is emerging. In this article, we introduce the mechanisms of brain invasion in atypical meningioma and review the genetic factors involved along with epigenetic regulation. First, it is important to understand the three major steps for brain invasion of meningeal cells: 1) degradation of extracellular matrix by proteases, 2) promotion of tumor cell migration to resident cells by adhesion molecules, and 3) neovascularization and supporting cells by growth factors. Second, the genomic landscape of meningiomas should be analyzed by major categories, such as germline mutations in NF2 and somatic mutations in non-NF2 genes (TRAF7, KLF4, AKT1, SMO, and POLR2A). Finally, epigenetic alterations in meningiomas are being studied, with a focus on DNA methylation, histone modification, and RNA interference. Increasing knowledge of the molecular landscape of meningiomas has allowed the identification of prognostic and predictive markers that can guide therapeutic decision-making processes and the timing of follow-up.
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Affiliation(s)
- Kyeong-O Go
- Department of Neurosurgery, Gyeongsang National University Hospital, Gyeongsang National University College of Medicine, Jinju, Korea
| | - Young Zoon Kim
- Division of Neuro Oncology and Department of Neurosurgery, Samsung Changwon Hospital, Sungkyunkwan University School of Medicine, Changwon, Korea.
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50
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Ukey S, Jain A, Dwivedi S, Vishnoi JR, Chugh A, Purohit P, Pareek P, Elhence P, Misra S, Sharma P. Global and promoter specific hypermethylation of tumor suppressor genes P16, SOCS1, and SHP1 in oral squamous cell carcinoma and oral submucous fibrosis. J Cancer Res Ther 2023; 19:S551-S559. [PMID: 38384018 DOI: 10.4103/jcrt.jcrt_689_22] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2022] [Accepted: 07/04/2022] [Indexed: 02/23/2024]
Abstract
ABSTRACTS Aberrant methylation pattern leads to altered gene expression, that is, involved in the transformation of various cancers, including oral squamous cell carcinoma (OSCC). In the present study, an attempt has been made to examine the association of global and promoter-specific methylation of tumor suppressor genes in patients with OSCC and oral submucous fibrosis (OSMF). Promoter-specific methylation of tumor suppressor genes P16, SOCS1, and SHP1 had been studied earlier for their aberrant methylation patterns in other cancers; however, these studies were mainly conducted in-vitro or in animal models, and as such, only a few studies are available on human samples. In the present study evaluation of promoter-specific methylation of genes P16, SOCS1, and SHP1 in 76 patients' blood and tissue samples was done and compared with methylation of 35 healthy control samples using qPCR. Further, these samples were analyzed for global methylation patterns using ELISA. The results have shown a significant decreasing trend of promoter methylation (OSCC > OSMF > Controls); the methylation indices (MI) were significantly higher in OSCC than in the controls. The median MI of three genes for OSCC were P16MI (0.96), SHP1MI (0.79), and SOCS1 (0.80). Similarly, median MIs for OSMF were P16MI (0.18), SHP1 MI (0.19), and SOCS1 MI (0.5) against controls with MI (0) for each of the three genes. The global methylation %mC values were 1.9, 0.5, and 0.1, respectively. The values of MI and %mC were found to correlate with various risk factors such as tobacco, smoking, and alcohol consumption, which are positively involved in OSMF pathogenesis followed by oral cancer progression. Further, the methylation trend in tissue was reflected in blood samples, proving a window for methylation load to be used as a lesser invasive biomarker. The sensitivity and specificity of methylation load were also found reasonable. Therefore, the current study suggests that there may be a role of global and promoter-specific methylation load in the transition of OSMF to OSCC.
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Affiliation(s)
- Shweta Ukey
- All India Institute of Medical Sciences, Jodhpur, Rajasthan, India
| | - Ankit Jain
- All India Institute of Medical Sciences, Jodhpur, Rajasthan, India
| | - Shailendra Dwivedi
- All India Institute of Medical Sciences, Gorakhpur, Uttar Pradesh, India
| | | | - Ankita Chugh
- All India Institute of Medical Sciences, Jodhpur, Rajasthan, India
| | - Purvi Purohit
- All India Institute of Medical Sciences, Jodhpur, Rajasthan, India
| | - Puneet Pareek
- All India Institute of Medical Sciences, Jodhpur, Rajasthan, India
| | - Poonam Elhence
- All India Institute of Medical Sciences, Jodhpur, Rajasthan, India
| | - Sanjeev Misra
- All India Institute of Medical Sciences, Jodhpur, Rajasthan, India
| | - Praveen Sharma
- All India Institute of Medical Sciences, Jodhpur, Rajasthan, India
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