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Xu Y, Wang Z, Pei B, Wang J, Xue Y, Zhao G. DNA methylation markers in esophageal cancer. Front Genet 2024; 15:1354195. [PMID: 38774285 PMCID: PMC11106492 DOI: 10.3389/fgene.2024.1354195] [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: 12/12/2023] [Accepted: 04/19/2024] [Indexed: 05/24/2024] Open
Abstract
Background Esophageal cancer (EC) is a prevalent malignancy characterized by a low 5-year survival rate, primarily attributed to delayed diagnosis and limited therapeutic options. Currently, early detection of EC heavily relies on endoscopy and pathological examination, which pose challenges due to their invasiveness and high costs, leading to low patient compliance. The detection of DNA methylation offers a non-endoscopic, cost-effective, and secure approach that holds promising prospects for early EC detection. Methods To identify improved methylation markers for early EC detection, we conducted a comprehensive review of relevant literature, summarized the performance of DNA methylation markers based on different input samples and analytical methods in EC early detection and screening. Findings This review reveals that blood cell free DNA methylation-based method is an effective non-invasive method for early detection of EC, although there is still a need to improve its sensitivity and specificity. Another highly sensitive and specific non-endoscopic approach for early detection of EC is the esophageal exfoliated cells based-DNA methylation analysis. However, while there are substantial studies in esophageal adenocarcinoma, further more validation is required in esophageal squamous cell carcinoma. Conclusion In conclusion, DNA methylation detection holds significant potential as an early detection and screening technology for EC.
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Affiliation(s)
- Yongle Xu
- Suzhou Municipal Hospital, Gusu School, The Affiliated Suzhou Hospital of Nanjing Medical University, Nanjing Medical University, Suzhou, China
| | - Zhenzhen Wang
- Department of Laboratory Medicine, Affiliated Xuzhou Maternity and Child Healthcare Hospital of Xuzhou Medical University, Xuzhou, China
| | - Bing Pei
- Department of Clinical Laboratory, The Affiliated Suqian First People’s Hospital of Nanjing Medical University, Suqian, China
| | - Jie Wang
- Department of Spleen and Stomach Diseases, Kunshan Hospital of Traditional Chinese Medicine, Kunshan, China
| | - Ying Xue
- Suzhou Municipal Hospital, Gusu School, The Affiliated Suzhou Hospital of Nanjing Medical University, Nanjing Medical University, Suzhou, China
| | - Guodong Zhao
- Department of Spleen and Stomach Diseases, Kunshan Hospital of Traditional Chinese Medicine, Kunshan, China
- Zhejiang University of Technology, Hangzhou, China
- ZJUT Yinhu Research Institute of Innovation and Entrepreneurship, Hangzhou, China
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Peng WW, Liu Y, Sha HH, Wen SD, Fang Y, Zhou GR. Relationship between plasma circulating cell-free DNA concentration and treatment outcomes including prognosis in patients with advanced non-small cell lung cancer. BMC Pulm Med 2023; 23:348. [PMID: 37710221 PMCID: PMC10503004 DOI: 10.1186/s12890-023-02586-2] [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: 04/15/2023] [Accepted: 07/27/2023] [Indexed: 09/16/2023] Open
Abstract
BACKGROUND Some research found that elevated plasma cell-free DNA (cfDNA) concentrations and poor prognosis are associated in non-small cell lung cancer (NSCLC). However, more studies need to be carried out to verify this conclusion. Therefore, this study investigated the relationship between cfDNA concentration and treatment outcomes including prognosis in patients with advanced NSCLC. METHODS We retrospectively collected medical records and cfDNA data from 160 patients with advanced NSCLC. Progression-free survival (PFS) were calculated using the Kaplan-Meier method and were compared between groups using the log rank test. Cox regression analysis was used for estimating the independent predictors of PFS. And we used logistic regression to evaluate the relationship between baseline biomarkers and efficacy. In our study, BT1 cfDNA, BT2 cfDNA, and BT3 cfDNA were defined as cfDNA concentration before the first treatment (baseline cfDNA concentration), cfDNA concentration before the second treatment, and cfDNA concentration before the third treatment, respectively. RESULTS Patients with low cfDNA (BT1 cfDNA < 15 (ng/mL)) were reported a significantly prolonged median progression-free survival (mPFS) compared with patients with patients with high cfDNA (BT1 cfDNA ≥ 15(ng/mL)) (mPFS: 14.6 vs. 8.3 months, P = 0.002), as well as patients with neutrophil/lymphocyte ratio (NLR)<2.98 (mPFS: 13.1 vs. 7.9 months, P = 0.023). In addition, Cox proportional hazards regression analysis identified independent indicators associated with PFS including BT1 cfDNA ≥ 15 (ng/mL), NLR ≥ 2.98 and extrapulmonary metastasis. The best cut-off value for BT3 cfDNA for predicting disease progression is 41.46 (ng/mL) (Area Under the Curve (AUC): 0.652, 95%CI: 0.516-0.788), achieving 90.7% sensitivity and 37.5% specificity for the prediction of disease progression. BT3 cfDNA (OR = 6.08, 95% CI: 1.94-19.57, P = 0.002) was an independent factor for disease progression in patients with advanced NSCLC. CONCLUSIONS BT1 cfDNA may be a biomarker to assess the prognosis of advanced NSCLC. Patients with advanced NSCLC with lower cfDNA and NLR before treatment had a better prognosis. Increased BT3 cfDNA concentration was an independent factor of disease progression in advanced NSCLC patients. These findings may assist in identifying high-risk patients and guiding treatment strategies.
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Affiliation(s)
- Wei-Wei Peng
- Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, The Affiliated Cancer Hospital of Nanjing Medical University, Baiziting 42, Nanjing, 210009, Jiangsu, China
| | - Ying Liu
- Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, The Affiliated Cancer Hospital of Nanjing Medical University, Baiziting 42, Nanjing, 210009, Jiangsu, China
| | - Huan-Huan Sha
- Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, The Affiliated Cancer Hospital of Nanjing Medical University, Baiziting 42, Nanjing, 210009, Jiangsu, China
| | - Shao-Di Wen
- Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, The Affiliated Cancer Hospital of Nanjing Medical University, Baiziting 42, Nanjing, 210009, Jiangsu, China
| | - Ying Fang
- Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, The Affiliated Cancer Hospital of Nanjing Medical University, Baiziting 42, Nanjing, 210009, Jiangsu, China.
| | - Guo-Ren Zhou
- Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, The Affiliated Cancer Hospital of Nanjing Medical University, Baiziting 42, Nanjing, 210009, Jiangsu, China.
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Xue Y, Huang C, Pei B, Wang Z, Dai Y. An overview of DNA methylation markers for early detection of gastric cancer: current status, challenges, and prospects. Front Genet 2023; 14:1234645. [PMID: 37560387 PMCID: PMC10407555 DOI: 10.3389/fgene.2023.1234645] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2023] [Accepted: 07/17/2023] [Indexed: 08/11/2023] Open
Abstract
Background: Gastric cancer (GC) is one of the most common malignancies, with a low 5-year survival rate. However, if diagnosed at an early stage, it can be cured by endoscopic treatment and has a good prognosis. While gastrointestinal X-ray and upper endoscopy are used as national GC screening methods in some GC high-risk countries, such as Japan and Korea, their radiation exposure, invasiveness, and high cost suggest that they are not the optimal tools for early detection of GC in many countries. Therefore, a cost-effective, and highly accurate method for GC early detection is urgently needed in clinical settings. DNA methylation plays a key role in cancer progression and metastasis and has been demonstrated as a promising marker for cancer early detection. Aims and methods: This review provides a comprehensive overview of the current status of DNA methylation markers associated with GC, the assays developed for GC early detection, challenges in methylation marker discovery and application, and the future prospects of utilizing methylation markers for early detection of GC. Through our analysis, we found that the currently reported DNA methylation markers related to GC are mainly in the early discovery stage. Most of them have only been evaluated in tissue samples. The majority of non-invasive assays developed based on blood lack standardized sampling protocols, pre-analytical procedures, and multicenter validation, and they exhibit insufficient sensitivity for early-stage GC detection. Meanwhile, the reported GC DNA methylation markers are generally considered pan-cancer markers. Conclusion: Therefore, future endeavors should focus on identifying additional methylation markers specific to GC and establishing non-invasive diagnostic assays that rely on these markers. These assays should undergo multicenter, large-scale prospective validation in diverse populations.
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Affiliation(s)
- Ying Xue
- The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, Suzhou, China
| | - Chao Huang
- The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, Suzhou, China
| | - Bing Pei
- Department of Clinical Laboratory, The Affiliated Suqian First People’s Hospital of Nanjing Medical University, Suqian, Jiangsu, China
| | - ZhenZhen Wang
- Department of Laboratory Medicine, Affiliated Xuzhou Maternity and Child Healthcare Hospital of Xuzhou Medical University, Xuzhou, China
| | - Yanmiao Dai
- Department of Spleen and Stomach Diseases, Kunshan Hospital of Traditional Chinese Medicine, Kunshan, China
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Zhang L, Zhao X, Hu X, Zhang Y, Liu R, Peng H, Chen Y, Zhang H, Luo Y. Probing low abundant DNA methylation by CRISPR-Cas12a-assisted cascade exponential amplification. Analyst 2022; 147:2655-2661. [PMID: 35579071 DOI: 10.1039/d2an00170e] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Abstract
Aberrant DNA methylation plays a pivotal role in tumor development and metastasis, and is regarded as a valuable non-invasive cancer biomarker. However, the sensitive and accurate quantification of DNA methylation from clinical samples remains a challenge. Herein, we propose an easy-to-operate Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR)-Cas system Assisted Methylation (CAM) approach for the sensitive detection of DNA methylation through the integration of rolling circle amplification and CRISPR-Cas12a-assisted cascade amplification. Briefly, bisulfite was employed to prepare the clinical samples so that the methylated DNA sequences trigger the subsequent triple signal amplifications, whilst the normal counterparts do not. The triple signal amplification procedure consists of methylated DNA sequence-based rolling circle amplification for a preliminary signal enhancement, a nicking enzyme-initiated target cleavage for a secondary amplification, and CRISPR-Cas12a enzyme-mediated trans-cleavage for a tertiary signal enhancement. This proposed approach reveals high sensitivity, which can even distinguish as low as 0.01% methylation levels from mixtures, paving the way towards the acceleration of methylation-based cancer diagnostics and management.
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Affiliation(s)
- Liangliang Zhang
- Center of Smart Laboratory and Molecular Medicine, School of Medicine, Chongqing University, Chongqing 400030, P.R. China. .,Key Laboratory for Biorheological Science and Technology of Ministry of Education, State and Local Joint Engineering Laboratory for Vascular Implants, College of Bioengineering, Chongqing University, Chongqing 400044, P.R. China
| | - Xianxian Zhao
- Center of Smart Laboratory and Molecular Medicine, School of Medicine, Chongqing University, Chongqing 400030, P.R. China.
| | - Xiaolin Hu
- Center of Smart Laboratory and Molecular Medicine, School of Medicine, Chongqing University, Chongqing 400030, P.R. China. .,Key Laboratory for Biorheological Science and Technology of Ministry of Education, State and Local Joint Engineering Laboratory for Vascular Implants, College of Bioengineering, Chongqing University, Chongqing 400044, P.R. China
| | - Yi Zhang
- Zhejiang Provincial People's Hospital, Hangzhou, 310014, PR. China
| | - Ruining Liu
- Center of Smart Laboratory and Molecular Medicine, School of Medicine, Chongqing University, Chongqing 400030, P.R. China.
| | - Hai Peng
- Center of Smart Laboratory and Molecular Medicine, School of Medicine, Chongqing University, Chongqing 400030, P.R. China.
| | - Youhao Chen
- Department of Orthopaedics, Three Gorges Hospital, Chongqing University, Chongqing, 404100, PR. China
| | - Hong Zhang
- Center of Smart Laboratory and Molecular Medicine, School of Medicine, Chongqing University, Chongqing 400030, P.R. China. .,Department of Clinical Laboratory, The Second Hospital of Shandong University, Jinan, Shandong, 250033, P.R. China.
| | - Yang Luo
- Center of Smart Laboratory and Molecular Medicine, School of Medicine, Chongqing University, Chongqing 400030, P.R. China. .,Department of Clinical Laboratory, Fuling Hospital, Chongqing University, Chongqing 408099, P.R. China.
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Guo D, Yang L, Yang J, Shi K. Plasma cell-free DNA methylation combined with tumor mutation detection in prognostic prediction of patients with non-small cell lung cancer (NSCLC). Medicine (Baltimore) 2020; 99:e20431. [PMID: 32590728 PMCID: PMC7328949 DOI: 10.1097/md.0000000000020431] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/24/2019] [Revised: 01/28/2020] [Accepted: 04/25/2020] [Indexed: 12/25/2022] Open
Abstract
BACKGROUND Lung Cancer is one of the most common cancers with high degree of malignancy, is a devastating disease with a poor prognosis worldwide. prognostic prediction for patients with non small-cell lung cancer (NSCLC) is still challenge. MATERIAL AND METHODS The cohort consisted of 64 consecutive patients with NSCLC identified from June1, 2014, to June 30, 2018. Liquid biopsy samples were collected. Genomic mutation DNA was calculated by including all substitutions and indels over the entire somatic, coding, sequencing length. statistical evaluations were carried out using SPSS software. RESULTS Quantity of total ctDNA was successfully determined in all 64 patients from whom baseline circulating DNA was available. ctDNA concentration ranged from 4000 to 3,562,000 genome equivalents per milliliter. Treatments induced a significant decrease in cancer specific markers in most patients with response to treatments, while the methylated DNA demonstrated favorable prediction efficiency regardless of the response status. Patients with ctDNA mutation and methylated DNA decreasing have favorable overall survival (P < .05). combination of genetic and methylated DNA decreasing had high reliability in predicting overall survival of patients with NSCLC. CONCLUSIONS We have detected both tumor mutations and methylated DNA in plasma of patients with NSCLC. Combined genetic and methylated DNA decreasing after treatment was an independent risk factor for prognosis of patients with NSCLC. Meanwhile, it had favorable predict value and had potential to be defined as a novel biomarker for patients with NSCLC.
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Affiliation(s)
| | - Liang Yang
- Department of Microbiology and Immunology and Medicine, Henan Medical College
| | - Jianwei Yang
- PET-CT Center, Henan Tumor Hospital, Affiliated Cancer Hospital of Zhengzhou University
| | - Ke Shi
- Department of Biochemistry and Molecular Biology, Henan Medical College, Henan, China
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Xu Y, Doonan SR, Ordog T, Bailey RC. Translational Opportunities for Microfluidic Technologies to Enable Precision Epigenomics. Anal Chem 2020; 92:7989-7997. [PMID: 32496751 DOI: 10.1021/acs.analchem.0c01288] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
Personalizing health care by taking genetic, environmental, and lifestyle factors into account is central to modern medicine. The crucial and pervasive roles epigenetic factors play in shaping gene-environment interactions are now well recognized. However, identifying robust epigenetic biomarkers and translating them to clinical tests has been difficult due in part to limitations of available platforms to detect epigenetic features genome-wide (epigenomic assays). This Feature introduces several important prospects for precision epigenomics, highlights capabilities and limitations of current laboratory technologies, and emphasizes opportunities for microfluidic tools to facilitate translation of epigenetic analyses to the clinic, with a particular focus on methods to profile gene-associated histone modifications and their impacts on chromatin structure and gene expression.
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Affiliation(s)
- Yi Xu
- Department of Chemistry, University of Michigan, Ann Arbor, Michigan 48109, United States
| | - Steven R Doonan
- Department of Chemistry, University of Michigan, Ann Arbor, Michigan 48109, United States
| | - Tamas Ordog
- Epigenomics Program, Center for Individualized Medicine, Department of Physiology and Biomedical Engineering, and Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, Minnesota 55905, United States
| | - Ryan C Bailey
- Department of Chemistry, University of Michigan, Ann Arbor, Michigan 48109, United States
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Constâncio V, Nunes SP, Henrique R, Jerónimo C. DNA Methylation-Based Testing in Liquid Biopsies as Detection and Prognostic Biomarkers for the Four Major Cancer Types. Cells 2020; 9:E624. [PMID: 32150897 PMCID: PMC7140532 DOI: 10.3390/cells9030624] [Citation(s) in RCA: 104] [Impact Index Per Article: 26.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2020] [Revised: 03/01/2020] [Accepted: 03/02/2020] [Indexed: 12/11/2022] Open
Abstract
Lung, breast, colorectal, and prostate cancers are the most incident worldwide. Optimal population-based cancer screening methods remain an unmet need, since cancer detection at early stages increases the prospects of successful and curative treatment, leading to a lower incidence of recurrences. Moreover, the current parameters for cancer patients' stratification have been associated with divergent outcomes. Therefore, new biomarkers that could aid in cancer detection and prognosis, preferably detected by minimally invasive methods are of major importance. Aberrant DNA methylation is an early event in cancer development and may be detected in circulating cell-free DNA (ccfDNA), constituting a valuable cancer biomarker. Furthermore, DNA methylation is a stable alteration that can be easily and rapidly quantified by methylation-specific PCR methods. Thus, the main goal of this review is to provide an overview of the most important studies that report methylation biomarkers for the detection and prognosis of the four major cancers after a critical analysis of the available literature. DNA methylation-based biomarkers show promise for cancer detection and management, with some studies describing a "PanCancer" detection approach for the simultaneous detection of several cancer types. Nonetheless, DNA methylation biomarkers still lack large-scale validation, precluding implementation in clinical practice.
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Affiliation(s)
- Vera Constâncio
- Cancer Biology & Epigenetics Group—Research Center, Portuguese Oncology Institute of Porto (CI-IPOP), 4200-072 Porto, Portugal; (V.C.); (S.P.N.); (R.H.)
- Master in Oncology, Institute of Biomedical Sciences Abel Salazar, University of Porto (ICBAS-UP), 4050-313 Porto, Portugal
| | - Sandra P. Nunes
- Cancer Biology & Epigenetics Group—Research Center, Portuguese Oncology Institute of Porto (CI-IPOP), 4200-072 Porto, Portugal; (V.C.); (S.P.N.); (R.H.)
| | - Rui Henrique
- Cancer Biology & Epigenetics Group—Research Center, Portuguese Oncology Institute of Porto (CI-IPOP), 4200-072 Porto, Portugal; (V.C.); (S.P.N.); (R.H.)
- Department of Pathology, Portuguese Oncology Institute of Porto, 4200-072 Porto, Portugal
- Department of Pathology and Molecular Immunology, Institute of Biomedical Sciences Abel Salazar–University of Porto (ICBAS-UP), 4050-313 Porto, Portugal
| | - Carmen Jerónimo
- Cancer Biology & Epigenetics Group—Research Center, Portuguese Oncology Institute of Porto (CI-IPOP), 4200-072 Porto, Portugal; (V.C.); (S.P.N.); (R.H.)
- Department of Pathology and Molecular Immunology, Institute of Biomedical Sciences Abel Salazar–University of Porto (ICBAS-UP), 4050-313 Porto, Portugal
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