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Pan H, Wu Z, Zhang H, Zhang J, Liu Y, Li Z, Feng W, Wang G, Liu Y, Zhao D, Zhang Z, Liu Y, Zhang Z, Liu X, Tao L, Luo Y, Wang X, Yang X, Zhang F, Li X, Guo X. Identification and validation of IgG N-glycosylation biomarkers of esophageal carcinoma. Front Immunol 2023; 14:981861. [PMID: 36999031 PMCID: PMC10043232 DOI: 10.3389/fimmu.2023.981861] [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: 06/29/2022] [Accepted: 02/28/2023] [Indexed: 03/16/2023] Open
Abstract
IntroductionAltered Immunoglobulin G (IgG) N-glycosylation is associated with aging, inflammation, and diseases status, while its effect on esophageal squamous cell carcinoma (ESCC) remains unknown. As far as we know, this is the first study to explore and validate the association of IgG N-glycosylation and the carcinogenesis progression of ESCC, providing innovative biomarkers for the predictive identification and targeted prevention of ESCC.MethodsIn total, 496 individuals of ESCC (n=114), precancerosis (n=187) and controls (n=195) from the discovery population (n=348) and validation population (n=148) were recruited in the study. IgG N-glycosylation profile was analyzed and an ESCC-related glycan score was composed by a stepwise ordinal logistic model in the discovery population. The receiver operating characteristic (ROC) curve with the bootstrapping procedure was used to assess the performance of the glycan score.ResultsIn the discovery population, the adjusted OR of GP20 (digalactosylated monosialylated biantennary with core and antennary fucose), IGP33 (the ratio of all fucosylated monosyalilated and disialylated structures), IGP44 (the proportion of high mannose glycan structures in total neutral IgG glycans), IGP58 (the percentage of all fucosylated structures in total neutral IgG glycans), IGP75 (the incidence of bisecting GlcNAc in all fucosylated digalactosylated structures in total neutral IgG glycans), and the glycan score are 4.03 (95% CI: 3.03-5.36, P<0.001), 0.69 (95% CI: 0.55-0.87, P<0.001), 0.56 (95% CI: 0.45-0.69, P<0.001), 0.52 (95% CI: 0.41-0.65, P<0.001), 7.17 (95% CI: 4.77-10.79, P<0.001), and 2.86 (95% CI: 2.33-3.53, P<0.001), respectively. Individuals in the highest tertile of the glycan score own an increased risk (OR: 11.41), compared with those in the lowest. The average multi-class AUC are 0.822 (95% CI: 0.786-0.849). Findings are verified in the validation population, with an average AUC of 0.807 (95% CI: 0.758-0.864).DiscussionOur study demonstrated that IgG N-glycans and the proposed glycan score appear to be promising predictive markers for ESCC, contributing to the early prevention of esophageal cancer. From the perspective of biological mechanism, IgG fucosylation and mannosylation might involve in the carcinogenesis progression of ESCC, and provide potential therapeutic targets for personalized interventions of cancer progression.
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Affiliation(s)
- Huiying Pan
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, China
- Centre for Precision Health, School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia
| | - Zhiyuan Wu
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, China
- Centre for Precision Health, School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia
| | - Haiping Zhang
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, China
| | - Jie Zhang
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, China
| | - Yue Liu
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, China
| | - Zhiwei Li
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, China
| | - Wei Feng
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, China
| | - Guiqi Wang
- Department of Endoscopy, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yong Liu
- Department of Endoscopy, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Deli Zhao
- Cancer Centre, The Feicheng People’s Hospital, Feicheng, Shandong, China
| | - Zhiyi Zhang
- Department of Gastroenterology, Gansu Wuwei Cancer Hospital, Wuwei, Gansu, China
| | - Yuqin Liu
- Cancer Epidemiology Research Centre, Gansu Province Cancer Hospital, Lanzhou, Gansu, China
| | - Zhe Zhang
- Department of Occupational Health, Wuwei Center for Disease Prevention and Control, Wuwei, Gansu, China
| | - Xiangtong Liu
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, China
| | - Lixin Tao
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, China
| | - Yanxia Luo
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, China
| | - Xiaonan Wang
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, China
| | - Xinghua Yang
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, China
| | - Feng Zhang
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, China
| | - Xia Li
- Department of Mathematics and Statistics, La Trobe University, Melbourne, VIC, Australia
| | - Xiuhua Guo
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, China
- Centre for Precision Health, School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia
- *Correspondence: Xiuhua Guo,
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Terp SK, Stoico MP, Dybkær K, Pedersen IS. Early diagnosis of ovarian cancer based on methylation profiles in peripheral blood cell-free DNA: a systematic review. Clin Epigenetics 2023; 15:24. [PMID: 36788585 PMCID: PMC9926627 DOI: 10.1186/s13148-023-01440-w] [Citation(s) in RCA: 16] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2022] [Accepted: 02/05/2023] [Indexed: 02/16/2023] Open
Abstract
Patients diagnosed with epithelial ovarian cancer (OC) have a 5-year survival rate of 49%. For early-stage disease, the 5-year survival rate is above 90%. However, advanced-stage disease accounts for most cases as patients with early stages often are asymptomatic or present with unspecific symptoms, highlighting the need for diagnostic tools for early diagnosis. Liquid biopsy is a minimal invasive blood-based approach that utilizes circulating tumor DNA (ctDNA) shed from tumor cells for real-time detection of tumor genetics and epigenetics. Increased DNA methylation of promoter regions is an early event during tumorigenesis, and the methylation can be detected in ctDNA, accentuating the promise of methylated ctDNA as a biomarker for OC diagnosis. Many studies have investigated multiple methylation biomarkers in ctDNA from plasma or serum for discriminating OC patients from patients with benign diseases of the ovaries and/or healthy females. This systematic review summarizes and evaluates the performance of the currently investigated DNA methylation biomarkers in blood-derived ctDNA for early diagnosis of OC. PubMed's MEDLINE and Elsevier's Embase were systematically searched, and essential results such as methylation frequency of OC cases and controls, performance measures, as well as preanalytical factors were extracted. Overall, 29 studies met the inclusion criteria for this systematic review. The most common method used for methylation analysis was methylation-specific PCR, with half of the studies using plasma and the other half using serum. RASSF1A, BRCA1, and OPCML were the most investigated gene-specific methylation biomarkers, with OPCML having the best performance measures. Generally, methylation panels performed better than single gene-specific methylation biomarkers, with one methylation panel of 103,456 distinct regions and 1,116,720 CpGs having better performance in both training and validation cohorts. However, the evidence is still limited, and the promising methylation panels, as well as gene-specific methylation biomarkers highlighted in this review, need validation in large, prospective cohorts with early-stage asymptomatic OC patients to assess the true diagnostic value in a clinical setting.
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Affiliation(s)
- Simone Karlsson Terp
- Department of Molecular Diagnostics, Aalborg University Hospital, 9000, Aalborg, Denmark.
- Department of Clinical Medicine, Aalborg University, 9000, Aalborg, Denmark.
| | - Malene Pontoppidan Stoico
- Department of Molecular Diagnostics, Aalborg University Hospital, 9000, Aalborg, Denmark
- Department of Clinical Medicine, Aalborg University, 9000, Aalborg, Denmark
| | - Karen Dybkær
- Department of Clinical Medicine, Aalborg University, 9000, Aalborg, Denmark
- Department of Hematology, Aalborg University Hospital, 9000, Aalborg, Denmark
- Clinical Cancer Research Center, Aalborg University Hospital, 9000, Aalborg, Denmark
| | - Inge Søkilde Pedersen
- Department of Molecular Diagnostics, Aalborg University Hospital, 9000, Aalborg, Denmark
- Department of Clinical Medicine, Aalborg University, 9000, Aalborg, Denmark
- Clinical Cancer Research Center, Aalborg University Hospital, 9000, Aalborg, Denmark
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Circulating methylated RUNX3 and SFRP1 genes as a noninvasive panel for early detection of colorectal cancer. Eur J Gastroenterol Hepatol 2019; 31:1342-1349. [PMID: 31524773 DOI: 10.1097/meg.0000000000001532] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
OBJECTIVE This study was conducted to assess the methylation status of runt-related transcription factor 3 (RUNX3) and secreted frizzled-related protein 1 (SFRP1) genes in paired tissue and serum samples of colorectal cancer (CRC), adenomatous, and control subjects and elucidate the association between methylation status on RUNX3 and SFRP1 mRNA expression. METHODS Methylation status of RUNX3 and SFRP1 in paired tissue and serum samples and RUNX3 and SFRP1 mRNA expression in tissue from 85 patients with CRC, 40 with adenoma, and 40 healthy controls were determined using methylation-specific PCR and reverse transcription PCR. RESULTS The frequency RUNX3 and SFRP1 genes methylation was significantly higher in both tissues and serum of CRC patients and was significantly associated with absence of its corresponding mRNA expression. The concordance between tissue and serum methylation status was 94.4% for RUNX3 and 94.3% for SFRP1. Tissue RUNX3 methylation status detected CRC with 63.53% sensitivity and 80.00% specificity, while serum RUNX3 methylation status detected CRC with 60.00% sensitivity and 82.50% specificity. Tissue SFRP1 methylation status showed a sensitivity of 82.35% and specificity of 65.00%, while serum SFRP1 methylation status showed a sensitivity of 77.65% and specificity of 70.00% in detection of CRC. RUNX3/SFRP1/carcinoembryonic antigen (CEA) panel identified CRC with sensitivity of 89.41% in tissue and 84.71% in serum. CONCLUSION Our results verified the reliability of using serum RUNX3 and SFRP1 methylation status as a noninvasive biomarker for diagnosis of CRC and that combined detection of RUNX3/SFRP1/CEA panel might be a promising strategy for early detection of CRC.
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Chen HX, Yuan ZY, Wu KX, Liu C, Mao QD, He BG, Yuan H. The study of methylation and single nucleotide polymorphisms of cancer-related genes in patients with early-stage ulcerative colitis. Scand J Gastroenterol 2019; 54:427-431. [PMID: 31046486 DOI: 10.1080/00365521.2019.1594355] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
Aim: To investigate the methylation status and single nucleotide polymorphisms (SNPs) of cancer-associated genes in ulcerative colitis (UC) patients and explore the potential mechanism for high cancer risk of UC. Methods: A total of 103 patients were enrolled in our study, which included 30 healthy subjects, 41 patients with early-stage UC, and 32 patients with colorectal cancer (CRC). Methylation status of cyclooxygenase 2 (COX2) and human RUNT-related transcription factor 3 (RUNX3) genes in colonic mucosa from 3 groups of subjects were detected by methylation-specific polymerase chain reaction (PCR). The SNPs TNF-α rs1800629 and IL-1 rs1143627 were genotyped by PCR and direct sequencing. Results: The methylation rate of RUNX3 gene within CRC group was 35.7%, which was significantly higher than the other two groups (Healthy control 5.9%, UC 15.4%, p = .040). There was no significant difference in the methylation rate of RUNX3 between early-stage UC group and healthy control group (p = .633). The methylation rate of COX2 gene, the genotypes (GG, AG) and alleles (A, G) of rs1800629, and the genotypes (CC,CT,TT) and alleles (C,T) of rs1143627 were not statistically different among three groups. Conclusion: In the early stage of UC, the methylation rate of cancer-related genes RUNX3 and COX2 and SNPs TNF-α rs1800629 and IL-1 rs1143627 were not significantly different compared with healthy subjects. The methylation rate of RUNX3 in CRC increased, while the methylation rate of COX2 and SNPs TNF-α rs1800629 and IL-1 rs1143627 did not change significantly compared with the other two groups.
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Affiliation(s)
- Hai-Xing Chen
- a School of clinical medicine , Weifang Medical University , Weifang , Shandong , China
| | - Zi-Ying Yuan
- b Department of Gastroenterology , Peking University Third Hospital , Beijing , China
| | - Ke-Xiang Wu
- c Department of Electrophysiology , The Affiliated Hospital of Weifang Medical College , Weifang , Shandong , China
| | - Chen Liu
- a School of clinical medicine , Weifang Medical University , Weifang , Shandong , China
| | - Qing-Dong Mao
- d Department of Gastroenterology , The Affiliated Hospital Of Qingdao University , Qingdao , Shandong , China
| | - Bao-Guo He
- d Department of Gastroenterology , The Affiliated Hospital Of Qingdao University , Qingdao , Shandong , China
| | - Hao Yuan
- d Department of Gastroenterology , The Affiliated Hospital Of Qingdao University , Qingdao , Shandong , China
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Roles of Methylated DNA Biomarkers in Patients with Colorectal Cancer. DISEASE MARKERS 2019; 2019:2673543. [PMID: 30944663 PMCID: PMC6421784 DOI: 10.1155/2019/2673543] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/24/2018] [Accepted: 11/22/2018] [Indexed: 12/25/2022]
Abstract
Colorectal cancer (CRC) is a leading cancer globally; therefore, early diagnosis and surveillance of this cancer are of paramount importance. Current methods of CRC diagnosis rely heavily on endoscopy or radiological imaging. Noninvasive tests including serum detection of the carcinoembryonic antigen (CEA) and faecal occult blood testing (FOBT) are associated with low sensitivity and specificity, especially at early stages. DNA methylation biomarkers have recently been found to have higher accuracy in CRC detection and enhanced prediction of prognosis and chemotherapy response. The most widely studied biomarker in CRC is methylated septin 9 (SEPT9), which is the only FDA-approved methylation-based biomarker for CRC. Apart from SEPT9, other methylated biomarkers including tachykinin-1 (TAC1), somatostatin (SST), and runt-related transcription factor 3 (RUNX3) have been shown to effectively detect CRC in a multitude of sample types. This review will discuss the performances of various methylated biomarkers used for CRC diagnosis and monitoring, when used alone or in combination.
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Wahl A, van den Akker E, Klaric L, Štambuk J, Benedetti E, Plomp R, Razdorov G, Trbojević-Akmačić I, Deelen J, van Heemst D, Slagboom PE, Vučković F, Grallert H, Krumsiek J, Strauch K, Peters A, Meitinger T, Hayward C, Wuhrer M, Beekman M, Lauc G, Gieger C. Genome-Wide Association Study on Immunoglobulin G Glycosylation Patterns. Front Immunol 2018. [PMID: 29535710 PMCID: PMC5834439 DOI: 10.3389/fimmu.2018.00277] [Citation(s) in RCA: 50] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
Abstract
Immunoglobulin G (IgG), a glycoprotein secreted by plasma B-cells, plays a major role in the human adaptive immune response and are associated with a wide range of diseases. Glycosylation of the Fc binding region of IgGs, responsible for the antibody’s effector function, is essential for prompting a proper immune response. This study focuses on the general genetic impact on IgG glycosylation as well as corresponding subclass specificities. To identify genetic loci involved in IgG glycosylation, we performed a genome-wide association study (GWAS) on liquid chromatography electrospray mass spectrometry (LC–ESI-MS)—measured IgG glycopeptides of 1,823 individuals in the Cooperative Health Research in the Augsburg Region (KORA F4) study cohort. In addition, we performed GWAS on subclass-specific ratios of IgG glycans to gain power in identifying genetic factors underlying single enzymatic steps in the glycosylation pathways. We replicated our findings in 1,836 individuals from the Leiden Longevity Study (LLS). We were able to show subclass-specific genetic influences on single IgG glycan structures. The replicated results indicate that, in addition to genes encoding for glycosyltransferases (i.e., ST6GAL1, B4GALT1, FUT8, and MGAT3), other genetic loci have strong influences on the IgG glycosylation patterns. A novel locus on chromosome 1, harboring RUNX3, which encodes for a transcription factor of the runt domain-containing family, is associated with decreased galactosylation. Interestingly, members of the RUNX family are cross-regulated, and RUNX3 is involved in both IgA class switching and B-cell maturation as well as T-cell differentiation and apoptosis. Besides the involvement of glycosyltransferases in IgG glycosylation, we suggest that, due to the impact of variants within RUNX3, potentially mechanisms involved in B-cell activation and T-cell differentiation during the immune response as well as cell migration and invasion involve IgG glycosylation.
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Affiliation(s)
- Annika Wahl
- Research Unit Molecular Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany.,Institute of Epidemiology 2, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
| | - Erik van den Akker
- Molecular Epidemiology, Department of Biomedical Data Sciences, Leiden University Medical Center (LUMC), Leiden, Netherlands.,Pattern Recognition and Bioinformatics, Delft University of Technology, Delft, Netherlands
| | - Lucija Klaric
- Genos Glycoscience Research Laboratory, Zagreb, Croatia.,MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, United Kingdom.,Centre for Global Health Research Population Health Sciences, School of Molecular, Genetic and Population Health Sciences, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, United Kingdom
| | - Jerko Štambuk
- Genos Glycoscience Research Laboratory, Zagreb, Croatia
| | - Elisa Benedetti
- Institute of Computational Biology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
| | - Rosina Plomp
- Center for Proteomics and Metabolomics, Leiden University Medical Center (LUMC), Leiden, Netherlands
| | | | | | - Joris Deelen
- Molecular Epidemiology, Department of Biomedical Data Sciences, Leiden University Medical Center (LUMC), Leiden, Netherlands.,Max Planck Institute for Biology of Ageing, Köln, Germany
| | - Diana van Heemst
- Department of Internal Medicine, Section Gerontology and Geriatrics, Leiden University Medical Center (LUMC), Leiden, Netherlands
| | - P Eline Slagboom
- Molecular Epidemiology, Department of Biomedical Data Sciences, Leiden University Medical Center (LUMC), Leiden, Netherlands
| | | | - Harald Grallert
- Research Unit Molecular Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany.,Institute of Epidemiology 2, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany.,German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Jan Krumsiek
- Institute of Computational Biology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany.,German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Konstantin Strauch
- Institute of Genetic Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany.,IBE, Faculty of Medicine, LMU Munich, Munich, Germany
| | - Annette Peters
- Institute of Epidemiology 2, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
| | - Thomas Meitinger
- Institute of Human Genetics, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
| | - Caroline Hayward
- MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, United Kingdom
| | - Manfred Wuhrer
- Center for Proteomics and Metabolomics, Leiden University Medical Center (LUMC), Leiden, Netherlands
| | - Marian Beekman
- Molecular Epidemiology, Department of Biomedical Data Sciences, Leiden University Medical Center (LUMC), Leiden, Netherlands
| | - Gordan Lauc
- Genos Glycoscience Research Laboratory, Zagreb, Croatia.,Faculty of Pharmacy and Biochemistry, University of Zagreb, Zagreb, Croatia
| | - Christian Gieger
- Research Unit Molecular Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany.,Institute of Epidemiology 2, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
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Lü Y, Han B, Yu H, Cui Z, Li Z, Wang J. Berberine regulates the microRNA-21-ITGΒ4-PDCD4 axis and inhibits colon cancer viability. Oncol Lett 2018; 15:5971-5976. [PMID: 29564000 DOI: 10.3892/ol.2018.7997] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2015] [Accepted: 05/16/2017] [Indexed: 12/12/2022] Open
Abstract
Berberine is sourced from multiple medicinal herb resources and is easy to extract. With the advantages of low price, safety and convenience, berberine may have potential for wide clinical use. The present study aimed to investigate whether berberine inhibited the viability of colon cancer and whether it regulated the three-gene network microRNA (miR)-21-integrin β4 (ITGβ4)-programmed cell death 4 (PDCD4). It was demonstrated that berberine treatment suppressed colon cancer cell viability, and induced apoptosis and activated caspase-3 activity in the human colon carcinoma HCT116 cell line. Berberine inhibited miR-21 expression and promoted ITGβ4 and PDCD4 protein expression in the HCT116 cell line. Overexpression of miR-21 reduced the anti-cancer effects of berberine on cell viability, apoptosis rate and caspase-3 activity of the HCT116 cell line. However, it was revealed that the overexpression of miR-21 also suppressed ITGβ4 and PDCD4 protein expression in the HCT116 cell line. In conclusion, miR-21, ITGβ4 and PDCD4 are involved in the anti-cancer effects of berberine on cell viability and apoptosis in the HCT116 cell line.
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Affiliation(s)
- Yanfeng Lü
- Department of Anoproctology, The Second Hospital of Shandong University, Jinan, Shandong 250033, P.R. China
| | - Bingbing Han
- Microcirculation Laboratory, Shandong University of Traditional Chinese Medicine, Jinan, Shandong 250014, P.R. China
| | - Hualong Yu
- Department of Anoproctology, The Second Hospital of Shandong University, Jinan, Shandong 250033, P.R. China
| | - Zhenghua Cui
- Department of Anoproctology, The Second Hospital of Shandong University, Jinan, Shandong 250033, P.R. China
| | - Zhiwen Li
- Department of Anoproctology, The Second Hospital of Shandong University, Jinan, Shandong 250033, P.R. China
| | - Jianxin Wang
- Department of Anoproctology, The Second Hospital of Shandong University, Jinan, Shandong 250033, P.R. China
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Huang Q, Yang Q, Mo M, Ye X, Zhang J, Zhang L, Chen B, Li J, Cai C. Screening of exon methylation biomarkers for colorectal cancer via LC-MS/MS strategy. JOURNAL OF MASS SPECTROMETRY : JMS 2017; 52:860-866. [PMID: 28940471 DOI: 10.1002/jms.4032] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/20/2017] [Revised: 09/06/2017] [Accepted: 09/12/2017] [Indexed: 06/07/2023]
Abstract
The identification of biomarkers would be of benefit for the diagnosis and treatment of colorectal cancer. DNA methylation in specific genomic regions, which had shown strongly association with disease genotypes, was an effective indicator to reveal the occurrence and development of cancers. To screen out methylation biomarkers for colorectal cancer (CRC), genomic DNA was isolated from colorectal cancerous and corresponding cancer-adjacent tissues collected from 30 CRC patients and then bisulfite-converted. The exon regions of 5 targeted genes (CNRIP1, HIC1, RUNX3, p15, and SFRP2) were amplified by using nested polymerase chain reaction with specific primers, and the amplicon was purified and hydrolyzed. The methylation levels of these specific regions were detected by liquid chromatography tandem mass spectrometry (LC-MS/MS). The results showed that 5 targeted exon regions were successfully amplified and confirmed by sequencing. The methodological validations indicated that LC-MS/MS was highly sensitive and accurate. The methylation levels of CNRIP1 and RUNX3 were remarkably high in CRC tissues with statistical difference when compared with corresponding cancer-adjacent individuals, while that of HIC1, p15, and SFRP2 had no difference between 2 subjects. These findings supported CNRIP1 and RUNX3 as potential DNA methylation biomarkers for CRC diagnosis and treatment, and our LC-MS/MS approach exhibited great advantages in the identification of regional DNA methylation biomarkers.
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Affiliation(s)
- Qionglin Huang
- Analysis Center, Guangdong Medical University, Zhanjiang, 524023, China
| | - Qingjin Yang
- Analysis Center, Guangdong Medical University, Zhanjiang, 524023, China
| | - Mingming Mo
- Analysis Center, Guangdong Medical University, Zhanjiang, 524023, China
| | - Xiaoxia Ye
- Analysis Center, Guangdong Medical University, Zhanjiang, 524023, China
| | - Junjie Zhang
- Analysis Center, Guangdong Medical University, Zhanjiang, 524023, China
| | - Lijian Zhang
- Analysis Center, Guangdong Medical University, Zhanjiang, 524023, China
| | - Bin Chen
- Analysis Center, Guangdong Medical University, Zhanjiang, 524023, China
| | - Jian Li
- Analysis Center, Guangdong Medical University, Zhanjiang, 524023, China
| | - Chun Cai
- Analysis Center, Guangdong Medical University, Zhanjiang, 524023, China
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9
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Wang N, Sui F, Ma J, Su X, Liu J, Yao D, Shi B, Hou P, Yang Q. Site-specific Hypermethylation of RUNX3 Predicts Poor Prognosis in Gastric Cancer. Arch Med Res 2017; 47:285-92. [PMID: 27664488 DOI: 10.1016/j.arcmed.2016.07.011] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2016] [Accepted: 07/22/2016] [Indexed: 02/07/2023]
Abstract
BACKGROUND AND AIMS Methylation status of RUNX3 remains largely unknown in gastric cancer (GC). The aim of this study was to prognostically evaluate the methylation level of CpG sites within RUNX3 promoter region in GC. METHODS Using pyrosequencing, we quantitatively explored the methylation status of 8 CpG sites within RUNX3 promoter region for 76 gastric cancer and 24 normal gastric tissues. We then analyzed the association between methylation level of each CpG site and clinicopathological characteristics and outcomes in the cohort. RESULTS Methylation of RUNX3 promoter was significantly higher in GC than normal subjects. Overall methylation level was closely associated with tumor invasion and TNM stage. Positive associations were found between hypermethylation of the following concerned sites and variables: site -1392, -1397, -1403, -1415 and tumor invasion, as well as TNM stage; site -1392 and lymph node metastasis along with number of lymph node metastases; site -1415 and cancer recurrence; site -1403, -1415 and cancer-related deaths. In multivariate analysis, tumor invasion was correlated with sites -1392 and -1397. Lymph node metastasis was associated with site -1392. Most importantly, methylation of site -1415 was associated with poor survival by using Cox survival regression. CONCLUSION Analysis of RUNX3 gene promoter by quantitative pyrosequencing suggested methylation status of RUNX3 is different in normal and tumor tissues. RUNX3 methylation level is associated with GC, especially the methylation at site -1415 contributes to the poor prognosis in GC. Thus, RUNX3 methylation may serve as a valuable diagnostic and prognostic biomarker in GC.
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Affiliation(s)
- Na Wang
- Department of Endocrinology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, People's Republic of China
| | - Fang Sui
- Department of Endocrinology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, People's Republic of China
| | - Jingjing Ma
- Department of Endocrinology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, People's Republic of China
| | - Xi Su
- Department of Endocrinology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, People's Republic of China
| | - Jiazhe Liu
- Department of Endocrinology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, People's Republic of China
| | - Demao Yao
- Department of Surgery, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, People's Republic of China; Key Laboratory for Tumor Precision Medicine of Shaanxi Province, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, People's Republic of China
| | - Bingyin Shi
- Department of Endocrinology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, People's Republic of China; Key Laboratory for Tumor Precision Medicine of Shaanxi Province, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, People's Republic of China
| | - Peng Hou
- Department of Endocrinology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, People's Republic of China; Key Laboratory for Tumor Precision Medicine of Shaanxi Province, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, People's Republic of China
| | - Qi Yang
- Department of Endocrinology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, People's Republic of China; Key Laboratory for Tumor Precision Medicine of Shaanxi Province, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, People's Republic of China.
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10
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Wang S, He Z, Li D, Zhang B, Li M, Li W, Zhu W, Xing X, Zeng X, Wang Q, Dong G, Xiao Y, Chen W, Chen L. Aberrant methylation of RUNX3 is present in Aflatoxin B 1-induced transformation of the L02R cell line. Toxicology 2017; 385:1-9. [PMID: 28458013 DOI: 10.1016/j.tox.2017.04.011] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2017] [Revised: 04/22/2017] [Accepted: 04/23/2017] [Indexed: 12/13/2022]
Abstract
Chronic exposure to aflatoxin B1 (AFB1) is linked to the development of hepatocellular carcinoma (HCC). To identify differentially methylated genes involved in AFB1-induced cell transformation, we analyzed DNA methylation patterns in immortal human hepatocyte L02 cells expressing an oncogenic H-Ras allele (L02R cells) and AFB1-transformed L02R (L02RT-AFB1) cells by performing genome-wide methylation profiling. We treated L02R cells with 0.3μM AFB1 weekly and observed a transformed phenotype at the 17th week post-treatment. The transformed cells (L02RT-AFB1) could grow in an anchorage independent fashion and form tumors in immunodeficient mice. qRT-PCR was performed to examine whether gene methylation led to a reduction in gene expression of methylated candidate genes. As a result, the expression of the following seven genes including JUNB, RUNX3, NAV1, CXCR4, RARRES1, INTS1, and POLL was down-regulated in transformed L02RT-AFB1 cells. The reduction of gene expression of these genes could be reversed by treatment of 5-azadeoxycytidine. The methylated CpG sites of RUNX3 genes were verified using bisulfite sequencing PCR (BSP) assay. Furthermore, a dynamic change in RUNX3 methylation was observed over the course of AFB1-induced cell transformation, which was corresponded to the alteration of gene expression and the extent of DNA damage. In vitro study showed that methylation of RUNX3 tended to abate in L02R cells treated with AFB1 for a short-term period of time. Notably, hypermethylation of RUNX3 appeared in 70% (14/20) of human hepatocellular carcinomas. Moreover, LINE-1 hypomethylation and dynamic changes of DNMTs, TETs and MeCP2 expression were also observed during AFB1-induced transformation. Taken together, these observations suggest that aberrant methylation of RUNX3 and LINE-1 might be involved in AFB1-induced carcinogenesis.
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Affiliation(s)
- Shan Wang
- Department of Toxicology, Guangzhou Key Laboratory of Environmental Pollution and Health Risk Assessment, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Zhini He
- Department of Toxicology, Guangzhou Key Laboratory of Environmental Pollution and Health Risk Assessment, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Daochuan Li
- Department of Toxicology, Guangzhou Key Laboratory of Environmental Pollution and Health Risk Assessment, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Bo Zhang
- Department of Toxicology, Guangzhou Key Laboratory of Environmental Pollution and Health Risk Assessment, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Miao Li
- Department of Toxicology, Guangzhou Key Laboratory of Environmental Pollution and Health Risk Assessment, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Wenxue Li
- Departmant of Toxicology, Guangzhou Center for Disease Control and Prevention, Guangzhou, China
| | - Wei Zhu
- Departmant of Toxicology, Guangzhou Center for Disease Control and Prevention, Guangzhou, China
| | - Xiumei Xing
- Department of Toxicology, Guangzhou Key Laboratory of Environmental Pollution and Health Risk Assessment, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Xiaowen Zeng
- Department of Toxicology, Guangzhou Key Laboratory of Environmental Pollution and Health Risk Assessment, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Qing Wang
- Department of Toxicology, Guangzhou Key Laboratory of Environmental Pollution and Health Risk Assessment, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Guanghui Dong
- Department of Toxicology, Guangzhou Key Laboratory of Environmental Pollution and Health Risk Assessment, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Yongmei Xiao
- Department of Toxicology, Guangzhou Key Laboratory of Environmental Pollution and Health Risk Assessment, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Wen Chen
- Department of Toxicology, Guangzhou Key Laboratory of Environmental Pollution and Health Risk Assessment, School of Public Health, Sun Yat-sen University, Guangzhou, China; Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Liping Chen
- Department of Toxicology, Guangzhou Key Laboratory of Environmental Pollution and Health Risk Assessment, School of Public Health, Sun Yat-sen University, Guangzhou, China.
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11
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Fu D, Song X, Hu H, Sun M, Li Z, Tian Z. Downregulation of RUNX3 moderates the frequency of Th17 and Th22 cells in patients with psoriasis. Mol Med Rep 2016; 13:4606-12. [PMID: 27082311 PMCID: PMC4878538 DOI: 10.3892/mmr.2016.5108] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2015] [Accepted: 01/22/2016] [Indexed: 12/17/2022] Open
Abstract
Psoriasis is a common chronic inflammatory and T cell-meditated skin disease. Runt-related transcription factor 3 (RUNX3), one of the runt-domain family of transcription factors, has been reported to be a susceptibility gene for psoriasis. The present study was designed to delineate the role and underlying mechanism of RUNX3 involved in the differentiation of T helper (Th) 17 and Th22 cells in psoriasis. The results of the present study demonstrated that the expression of RUNX3 increased significantly in CD4-positive (CD4+) T cells from patients with psoriasis, compared with healthy controls. In addition, increased levels of interleukin (IL)-6, IL-20 and IL-22, and increased frequencies of Th17 and Th22 cells were found in the patients with psoriasis patients, compared with the healthy controls. It was also found that the overexpression of RUNX3 increased the levels of Th17- and Th22-associated cytokines in the CD4+ T cells from the healthy controls. However, the inhibition of RUNX3 reduced the levels of the associated cytokines and decreased the frequency of Th17 and Th22 cells in the CD4+ T cells from the patients with psoriasis. Taken together, the present study suggested that RUNX3 regulated the differentiation of Th17 and Th22 cells in psoriasis, providing a promising therapeutic strategy for the treatment of psoriasis.
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Affiliation(s)
- Dandan Fu
- Department of Dermatology, The First Affiliated Hospital of Xinxiang Medical University, Weihui, Henan 453100, P.R. China
| | - Xiangfeng Song
- Department of Dermatology, The First Affiliated Hospital of Xinxiang Medical University, Weihui, Henan 453100, P.R. China
| | - Hua Hu
- Department of Dermatology, The First Affiliated Hospital of Xinxiang Medical University, Weihui, Henan 453100, P.R. China
| | - Min Sun
- Department of Dermatology, The First Affiliated Hospital of Xinxiang Medical University, Weihui, Henan 453100, P.R. China
| | - Zhanguo Li
- Department of Dermatology, The First Affiliated Hospital of Xinxiang Medical University, Weihui, Henan 453100, P.R. China
| | - Zhongwei Tian
- Department of Dermatology, The First Affiliated Hospital of Xinxiang Medical University, Weihui, Henan 453100, P.R. China
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