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Chang W, Zhang Z, Jia B, Ding K, Pan Z, Su G, Zhang W, Liu T, Zhong Y, He G, Ren L, Wei Y, Li D, Cui X, Yang J, Shi Y, Bissonnette M, He C, Zhang W, Fan J, Xu J. A 5-Hydroxymethylcytosine-Based Noninvasive Model for Early Detection of Colorectal Carcinomas and Advanced Adenomas: The METHOD-2 Study. Clin Cancer Res 2024; 30:3337-3348. [PMID: 38814264 DOI: 10.1158/1078-0432.ccr-24-0199] [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: 01/17/2024] [Revised: 03/19/2024] [Accepted: 05/24/2024] [Indexed: 05/31/2024]
Abstract
PURPOSE Detection of colorectal carcinomas at a time when there are more treatment options is associated with better outcomes. This prospective case-control study assessed the 5-hydroxymethylcytosine (5hmC) biomarkers in circulating cell-free DNA (cfDNA) for early detection of colorectal carcinoma and advanced adenomas (AA). EXPERIMENTAL DESIGN Plasma cfDNA samples from 2,576 study participants from the multicenter METHOD-2 study (NCT03676075) were collected, comprising patients with newly diagnosed colorectal carcinoma (n = 1,074), AA (n = 356), other solid tumors (n = 80), and non-colorectal carcinoma/AA controls (n = 1,066), followed by genome-wide 5hmC profiling using the 5hmC-Seal technique and the next-generation sequencing. A weighted diagnostic model for colorectal carcinoma (stage I-III) and AA was developed using the elastic net regularization in a discovery set and validated in independent samples. RESULTS Distribution of 5hmC in cfDNA reflected gene regulatory relevance and tissue of origin. Besides being confirmed in internal validation, a 96-gene model achieved an area under the curve (AUC) of 90.7% for distinguishing stage I-III colorectal carcinoma from controls in 321 samples from multiple centers for external validation, regardless of primary location or mutation status. This model also showed cancer-type specificity as well as high capacity for distinguishing AA from controls with an AUC of 78.6%. Functionally, differential 5hmC features associated with colorectal carcinoma and AA demonstrated relevance to colorectal carcinoma biology, including pathways such as calcium and MAPK signaling. CONCLUSIONS Genome-wide mapping of 5hmC in cfDNA shows promise as a highly sensitive and specific noninvasive blood test to be integrated into screening programs for improving early detection of colorectal carcinoma and high-risk AA.
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Affiliation(s)
- Wenju Chang
- Department of General Surgery, Zhongshan Hospital, Fudan University, Shanghai, China
- Shanghai Engineering Research Center of Colorectal Cancer Minimally Invasive Technology, Shanghai, China
- Department of General Surgery, Zhongshan Hospital (Xiamen), Fudan University, Xiamen, China
| | - Zhou Zhang
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | - Baoqing Jia
- Department of General Surgery Hospital, The 301 Hospital, Beijing, China
| | - Kefeng Ding
- Colorectal Surgery and Oncology, Key Laboratory of Cancer Prevention and Intervention, Ministry of Education and The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
- Cancer Center, Zhejiang University, Hangzhou, China
| | - Zhizhong Pan
- Department of Colorectal Surgery, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Guoqiang Su
- Department of Colorectal Surgery, Xiamen Cancer Center, The First Affiliated Hospital of Xiamen University, Xiamen, China
| | - Wei Zhang
- Department of Colorectal Surgery, Changhai Hospital, Shanghai, China
| | - Tianyu Liu
- Department of General Surgery, Zhongshan Hospital, Fudan University, Shanghai, China
- Shanghai Engineering Research Center of Colorectal Cancer Minimally Invasive Technology, Shanghai, China
| | - Yunshi Zhong
- Department of General Surgery, Zhongshan Hospital, Fudan University, Shanghai, China
- Department of General Surgery, Xuhui Hospital, Fudan University, Shanghai, China
| | - Guodong He
- Department of General Surgery, Zhongshan Hospital, Fudan University, Shanghai, China
- Shanghai Engineering Research Center of Colorectal Cancer Minimally Invasive Technology, Shanghai, China
| | - Li Ren
- Department of General Surgery, Zhongshan Hospital, Fudan University, Shanghai, China
- Shanghai Engineering Research Center of Colorectal Cancer Minimally Invasive Technology, Shanghai, China
| | - Ye Wei
- Department of General Surgery, Zhongshan Hospital, Fudan University, Shanghai, China
- Shanghai Engineering Research Center of Colorectal Cancer Minimally Invasive Technology, Shanghai, China
| | - Dongdong Li
- Shanghai Epican Genetech Co., Ltd., Shanghai, China
| | - Xiaolong Cui
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois
- Department of Chemistry, The University of Chicago, Chicago, Illinois
| | - Jun Yang
- Bionova (Shanghai) MedTech Co., Ltd., Shanghai, China
| | - Yixiang Shi
- Bionova (Shanghai) MedTech Co., Ltd., Shanghai, China
| | - Marc Bissonnette
- Department of Medicine and The University of Chicago Comprehensive Cancer Center, The University of Chicago, Chicago, Illinois
| | - Chuan He
- Department of Chemistry, The University of Chicago, Chicago, Illinois
- Department of Biochemistry and Molecular Biology, and Institute for Biophysical Dynamics, The University of Chicago, Chicago, Illinois
- The Howard Hughes Medical Institute, The University of Chicago, Chicago, Illinois
| | - Wei Zhang
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois
- The Robert H. Lurie Comprehensive Cancer Center, Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | - Jia Fan
- Department of Liver Surgery, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Jianmin Xu
- Department of General Surgery, Zhongshan Hospital, Fudan University, Shanghai, China
- Shanghai Engineering Research Center of Colorectal Cancer Minimally Invasive Technology, Shanghai, China
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Blackford AL, Canto MI, Dbouk M, Hruban RH, Katona BW, Chak A, Brand RE, Syngal S, Farrell J, Kastrinos F, Stoffel EM, Rustgi A, Klein AP, Kamel I, Fishman E, He J, Burkhart R, Shin EJ, Lennon AM, Goggins M. Pancreatic Cancer Surveillance and Survival of High-Risk Individuals. JAMA Oncol 2024; 10:1087-1096. [PMID: 38959011 PMCID: PMC11223057 DOI: 10.1001/jamaoncol.2024.1930] [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: 10/18/2023] [Accepted: 02/05/2024] [Indexed: 07/04/2024]
Abstract
Importance Pancreatic ductal adenocarcinoma (PDAC) is a deadly disease with increasing incidence. The majority of PDACs are incurable at presentation, but population-based screening is not recommended. Surveillance of high-risk individuals for PDAC may lead to early detection, but the survival benefit is unproven. Objective To compare the survival of patients with surveillance-detected PDAC with US national data. Design, Setting, and Participants This comparative cohort study was conducted in multiple US academic medical centers participating in the Cancer of the Pancreas Screening program, which screens high-risk individuals with a familial or genetic predisposition for PDAC. The comparison cohort comprised patients with PDAC matched for age, sex, and year of diagnosis from the Surveillance, Epidemiology, and End Results (SEER) program. The Cancer of the Pancreas Screening program originated in 1998, and data collection was done through 2021. The data analysis was performed from April 29, 2022, through April 10, 2023. Exposures Endoscopic ultrasonography or magnetic resonance imaging performed annually and standard-of-care surgical and/or oncologic treatment. Main Outcomes and Measures Stage of PDAC at diagnosis, overall survival (OS), and PDAC mortality were compared using descriptive statistics and conditional logistic regression, Cox proportional hazards regression, and competing risk regression models. Sensitivity analyses and adjustment for lead-time bias were also conducted. Results A total of 26 high-risk individuals (mean [SD] age at diagnosis, 65.8 [9.5] years; 15 female [57.7%]) with PDAC were compared with 1504 SEER control patients with PDAC (mean [SD] age at diagnosis, 66.8 [7.9] years; 771 female [51.3%]). The median primary tumor diameter of the 26 high-risk individuals was smaller than in the control patients (2.5 [range, 0.6-5.0] vs 3.6 [range, 0.2-8.0] cm, respectively; P < .001). The high-risk individuals were more likely to be diagnosed with a lower stage (stage I, 10 [38.5%]; stage II, 8 [30.8%]) than matched control patients (stage I, 155 [10.3%]; stage II, 377 [25.1%]; P < .001). The PDAC mortality rate at 5 years was lower for high-risk individuals than control patients (43% vs 86%; hazard ratio, 3.58; 95% CI, 2.01-6.39; P < .001), and high-risk individuals lived longer than matched control patients (median OS, 61.7 [range, 1.9-147.3] vs 8.0 [range, 1.0-131.0] months; 5-year OS rate, 50% [95% CI, 32%-80%] vs 9% [95% CI, 7%-11%]). Conclusions and Relevance These findings suggest that surveillance of high-risk individuals may lead to detection of smaller, lower-stage PDACs and improved survival.
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Affiliation(s)
- Amanda L. Blackford
- Department of Oncology, The Sol Goldman Pancreatic Cancer Research Center, Johns Hopkins Medical Institutions, Baltimore, Maryland
| | - Marcia Irene Canto
- Department of Oncology, The Sol Goldman Pancreatic Cancer Research Center, Johns Hopkins Medical Institutions, Baltimore, Maryland
- Department of Medicine (Gastroenterology), The Sol Goldman Pancreatic Cancer Research Center, Johns Hopkins Medical Institutions, Baltimore, Maryland
| | - Mohamad Dbouk
- Department of Pathology, The Sol Goldman Pancreatic Cancer Research Center, Johns Hopkins Medical Institutions, Baltimore, Maryland
| | - Ralph H. Hruban
- Department of Oncology, The Sol Goldman Pancreatic Cancer Research Center, Johns Hopkins Medical Institutions, Baltimore, Maryland
- Department of Pathology, The Sol Goldman Pancreatic Cancer Research Center, Johns Hopkins Medical Institutions, Baltimore, Maryland
| | - Bryson W. Katona
- Division of Gastroenterology, Department of Medicine, Abramson Cancer Center, University of Pennsylvania Perelman School of Medicine, Philadelphia
| | - Amitabh Chak
- Division of Gastroenterology and Liver Disease, University Hospitals Cleveland Medical Center, Case Western Reserve University, Cleveland, Ohio
| | - Randall E. Brand
- Division of Gastroenterology, Hepatology and Nutrition, University of Pittsburgh Medical Center, Pennsylvania
| | - Sapna Syngal
- Cancer Genetics and Prevention, Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
- Division of Gastroenterology, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts
| | - James Farrell
- Yale Center for Pancreatic Disease, Section of Digestive Disease, Yale University, New Haven, Connecticut
| | - Fay Kastrinos
- Division of Digestive and Liver Diseases, Herbert Irving Comprehensive Cancer Center, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, New York
| | - Elena M. Stoffel
- Division of Gastroenterology and Hepatology, Department of Internal Medicine, University of Michigan, Ann Arbor
| | - Anil Rustgi
- Division of Digestive and Liver Diseases, Herbert Irving Comprehensive Cancer Center, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, New York
| | - Alison P. Klein
- Department of Oncology, The Sol Goldman Pancreatic Cancer Research Center, Johns Hopkins Medical Institutions, Baltimore, Maryland
| | - Ihab Kamel
- Department of Radiology, The Sol Goldman Pancreatic Cancer Research Center, Johns Hopkins Medical Institutions, Baltimore, Maryland
| | - Elliot Fishman
- Department of Radiology, The Sol Goldman Pancreatic Cancer Research Center, Johns Hopkins Medical Institutions, Baltimore, Maryland
| | - Jin He
- Department of Surgery, The Sol Goldman Pancreatic Cancer Research Center, Johns Hopkins Medical Institutions, Baltimore, Maryland
| | - Richard Burkhart
- Department of Surgery, The Sol Goldman Pancreatic Cancer Research Center, Johns Hopkins Medical Institutions, Baltimore, Maryland
| | - Eun Ji Shin
- Department of Medicine (Gastroenterology), The Sol Goldman Pancreatic Cancer Research Center, Johns Hopkins Medical Institutions, Baltimore, Maryland
| | - Anne Marie Lennon
- Department of Oncology, The Sol Goldman Pancreatic Cancer Research Center, Johns Hopkins Medical Institutions, Baltimore, Maryland
- Department of Medicine (Gastroenterology), The Sol Goldman Pancreatic Cancer Research Center, Johns Hopkins Medical Institutions, Baltimore, Maryland
- Department of Radiology, The Sol Goldman Pancreatic Cancer Research Center, Johns Hopkins Medical Institutions, Baltimore, Maryland
- Department of Surgery, The Sol Goldman Pancreatic Cancer Research Center, Johns Hopkins Medical Institutions, Baltimore, Maryland
| | - Michael Goggins
- Department of Oncology, The Sol Goldman Pancreatic Cancer Research Center, Johns Hopkins Medical Institutions, Baltimore, Maryland
- Department of Pathology, The Sol Goldman Pancreatic Cancer Research Center, Johns Hopkins Medical Institutions, Baltimore, Maryland
- Department of Medicine (Gastroenterology), The Sol Goldman Pancreatic Cancer Research Center, Johns Hopkins Medical Institutions, Baltimore, Maryland
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Lam WKJ, Bai J, Ma MJL, Cheung YTT, Jiang P. Circulating tumour DNA analysis for early detection of lung cancer: a systematic review. ANNALS OF TRANSLATIONAL MEDICINE 2024; 12:64. [PMID: 39118954 PMCID: PMC11304429 DOI: 10.21037/atm-23-1572] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/29/2023] [Accepted: 01/11/2024] [Indexed: 08/10/2024]
Abstract
Background Circulating tumor DNA (ctDNA) analysis has been applied in cancer diagnostics including lung cancer. Specifically for the early detection purpose, various modalities of ctDNA analysis have demonstrated their potentials. Such analyses have showed diverse performance across different studies. Methods We performed a systematic review of original studies published before 1 January 2023. Studies that evaluated ctDNA alone and in combination with other biomarkers for early detection of lung cancer were included. Results The systematic review analysis included 56 original studies that were aimed for early detection of lung cancer. There were 39 studies for lung cancer only and 17 for pan-cancer early detection. Cancer and control cases included were heterogenous across studies. Different molecular features of ctDNA have been evaluated, including 7 studies on cell-free DNA concentration, 17 on mutation, 29 on methylation, 5 on hydroxymethylation and 8 on fragmentation patterns. Among these 56 studies, 17 have utilised different combinations of the above-mentioned ctDNA features and/or circulation protein markers. For all the modalities, lower sensitivities were reported for the detection of early-stage cancer. Conclusions The systematic review suggested the clinical utility of ctDNA analysis for early detection of lung cancer, alone or in combination with other biomarkers. Future validation with standardised testing protocols would help integration into clinical care.
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Affiliation(s)
- W. K. Jacky Lam
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong, China
- Centre for Novostics, Hong Kong Science Park, Pak Shek Kok, New Territories, Hong Kong, China
- Department of Chemical Pathology, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, New Territories, Hong Kong, China
- State Key Laboratory of Translational Oncology, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong, China
| | - Jinyue Bai
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong, China
- Centre for Novostics, Hong Kong Science Park, Pak Shek Kok, New Territories, Hong Kong, China
- Department of Chemical Pathology, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, New Territories, Hong Kong, China
| | - Mary-Jane L. Ma
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong, China
- Centre for Novostics, Hong Kong Science Park, Pak Shek Kok, New Territories, Hong Kong, China
- Department of Chemical Pathology, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, New Territories, Hong Kong, China
| | - Y. T. Tommy Cheung
- Department of Pathology, Princess Margaret Hospital, Kwai Chung, Hong Kong, China
| | - Peiyong Jiang
- Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong, China
- Centre for Novostics, Hong Kong Science Park, Pak Shek Kok, New Territories, Hong Kong, China
- Department of Chemical Pathology, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, New Territories, Hong Kong, China
- State Key Laboratory of Translational Oncology, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong, China
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4
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Rubinstein WS, Patriotis C, Dickherber A, Han PKJ, Katki HA, LeeVan E, Pinsky PF, Prorok PC, Skarlupka AL, Temkin SM, Castle PE, Minasian LM. Cancer screening with multicancer detection tests: A translational science review. CA Cancer J Clin 2024; 74:368-382. [PMID: 38517462 PMCID: PMC11226362 DOI: 10.3322/caac.21833] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/21/2023] [Revised: 02/06/2024] [Accepted: 02/12/2024] [Indexed: 03/23/2024] Open
Abstract
Multicancer detection (MCD) tests use a single, easily obtainable biospecimen, such as blood, to screen for more than one cancer concurrently. MCD tests can potentially be used to improve early cancer detection, including cancers that currently lack effective screening methods. However, these tests have unknown and unquantified benefits and harms. MCD tests differ from conventional cancer screening tests in that the organ responsible for a positive test is unknown, and a broad diagnostic workup may be necessary to confirm the location and type of underlying cancer. Among two prospective studies involving greater than 16,000 individuals, MCD tests identified those who had some cancers without currently recommended screening tests, including pancreas, ovary, liver, uterus, small intestine, oropharyngeal, bone, thyroid, and hematologic malignancies, at early stages. Reported MCD test sensitivities range from 27% to 95% but differ by organ and are lower for early stage cancers, for which treatment toxicity would be lowest and the potential for cure might be highest. False reassurance from a negative MCD result may reduce screening adherence, risking a loss in proven public health benefits from standard-of-care screening. Prospective clinical trials are needed to address uncertainties about MCD accuracy to detect different cancers in asymptomatic individuals, whether these tests can detect cancer sufficiently early for effective treatment and mortality reduction, the degree to which these tests may contribute to cancer overdiagnosis and overtreatment, whether MCD tests work equally well across all populations, and the appropriate diagnostic evaluation and follow-up for patients with a positive test.
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Affiliation(s)
- Wendy S. Rubinstein
- Division of Cancer Prevention, US National Cancer Institute, Rockville, Maryland, USA
| | - Christos Patriotis
- Division of Cancer Prevention, US National Cancer Institute, Rockville, Maryland, USA
| | - Anthony Dickherber
- Center for Strategic Scientific Initiatives, US National Cancer Institute, Rockville, Maryland, USA
| | - Paul K. J. Han
- Division of Cancer Control and Population Sciences, US National Cancer Institute, Rockville, Maryland, USA
| | - Hormuzd A. Katki
- Division of Cancer Epidemiology and Genetics, US National Cancer Institute, Rockville, Maryland, USA
| | - Elyse LeeVan
- Division of Cancer Prevention, US National Cancer Institute, Rockville, Maryland, USA
| | - Paul F. Pinsky
- Division of Cancer Prevention, US National Cancer Institute, Rockville, Maryland, USA
| | - Philip C. Prorok
- Division of Cancer Prevention, US National Cancer Institute, Rockville, Maryland, USA
| | - Amanda L. Skarlupka
- Division of Cancer Prevention, US National Cancer Institute, Rockville, Maryland, USA
| | - Sarah M. Temkin
- National Institutes of Health Office of Research on Women’s Health, Bethesda, Maryland, USA
| | - Philip E. Castle
- Division of Cancer Prevention, US National Cancer Institute, Rockville, Maryland, USA
- Division of Cancer Epidemiology and Genetics, US National Cancer Institute, Rockville, Maryland, USA
| | - Lori M. Minasian
- Division of Cancer Prevention, US National Cancer Institute, Rockville, Maryland, USA
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Abstract
This review delves into the rapidly evolving landscape of liquid biopsy technologies based on cell-free DNA (cfDNA) and cell-free RNA (cfRNA) and their increasingly prominent role in precision medicine. With the advent of high-throughput DNA sequencing, the use of cfDNA and cfRNA has revolutionized noninvasive clinical testing. Here, we explore the physical characteristics of cfDNA and cfRNA, present an overview of the essential engineering tools used by the field, and highlight clinical applications, including noninvasive prenatal testing, cancer testing, organ transplantation surveillance, and infectious disease testing. Finally, we discuss emerging technologies and the broadening scope of liquid biopsies to new areas of diagnostic medicine.
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Affiliation(s)
- Conor Loy
- Meinig School of Biomedical Engineering, Cornell University, Ithaca, New York, USA;
| | - Lauren Ahmann
- Department of Pathology, Stanford University, Stanford, California, USA;
| | - Iwijn De Vlaminck
- Meinig School of Biomedical Engineering, Cornell University, Ithaca, New York, USA;
| | - Wei Gu
- Department of Pathology, Stanford University, Stanford, California, USA;
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He B, Yao H, Yi C. Advances in the joint profiling technologies of 5mC and 5hmC. RSC Chem Biol 2024; 5:500-507. [PMID: 38846078 PMCID: PMC11151843 DOI: 10.1039/d4cb00034j] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2024] [Accepted: 03/21/2024] [Indexed: 06/09/2024] Open
Abstract
DNA cytosine methylation, a crucial epigenetic modification, involves the dynamic interplay of 5-methylcytosine (5mC) and its oxidized form, 5-hydroxymethylcytosine (5hmC), generated by ten-eleven translocation (TET) DNA dioxygenases. This process is central to regulating gene expression, influencing critical biological processes such as development, disease progression, and aging. Recognizing the distinct functions of 5mC and 5hmC, researchers often employ restriction enzyme-based or chemical treatment methods for their simultaneous measurement from the same genomic sample. This enables a detailed understanding of the relationship between these modifications and their collective impact on cellular function. This review focuses on summarizing the technologies for detecting 5mC and 5hmC together but also discusses the limitations and potential future directions in this evolving field.
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Affiliation(s)
- Bo He
- Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Peking University Beijing China
- Peking University Chengdu Academy for Advanced Interdisciplinary Biotechnologies Chengdu China
| | - Haojun Yao
- College of Chemistry and Chemical Engineering, Hunan University Changsha China
| | - Chengqi Yi
- Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Peking University Beijing China
- State Key Laboratory of Protein and Plant Gene Research, School of Life Sciences, Peking University Beijing China
- Department of Chemical Biology and Synthetic and Functional Biomolecules Center, College of Chemistry and Molecular Engineering, Peking University Beijing China
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7
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Gonzalez-Avalos E, Onodera A, Samaniego-Castruita D, Rao A, Ay F. Predicting gene expression state and prioritizing putative enhancers using 5hmC signal. Genome Biol 2024; 25:142. [PMID: 38825692 PMCID: PMC11145787 DOI: 10.1186/s13059-024-03273-z] [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: 04/03/2023] [Accepted: 05/11/2024] [Indexed: 06/04/2024] Open
Abstract
BACKGROUND Like its parent base 5-methylcytosine (5mC), 5-hydroxymethylcytosine (5hmC) is a direct epigenetic modification of cytosines in the context of CpG dinucleotides. 5hmC is the most abundant oxidized form of 5mC, generated through the action of TET dioxygenases at gene bodies of actively-transcribed genes and at active or lineage-specific enhancers. Although such enrichments are reported for 5hmC, to date, predictive models of gene expression state or putative regulatory regions for genes using 5hmC have not been developed. RESULTS Here, by using only 5hmC enrichment in genic regions and their vicinity, we develop neural network models that predict gene expression state across 49 cell types. We show that our deep neural network models distinguish high vs low expression state utilizing only 5hmC levels and these predictive models generalize to unseen cell types. Further, in order to leverage 5hmC signal in distal enhancers for expression prediction, we employ an Activity-by-Contact model and also develop a graph convolutional neural network model with both utilizing Hi-C data and 5hmC enrichment to prioritize enhancer-promoter links. These approaches identify known and novel putative enhancers for key genes in multiple immune cell subsets. CONCLUSIONS Our work highlights the importance of 5hmC in gene regulation through proximal and distal mechanisms and provides a framework to link it to genome function. With the recent advances in 6-letter DNA sequencing by short and long-read techniques, profiling of 5mC and 5hmC may be done routinely in the near future, hence, providing a broad range of applications for the methods developed here.
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Affiliation(s)
- Edahi Gonzalez-Avalos
- La Jolla Institute for Immunology, 9420 Athena Circle, La Jolla, CA, 92037, USA
- Bioinformatics and Systems Biology Graduate Program, University of California San Diego, La Jolla, CA, 92093, USA
| | - Atsushi Onodera
- La Jolla Institute for Immunology, 9420 Athena Circle, La Jolla, CA, 92037, USA
- Department of Immunology, Graduate School of Medicine, Chiba University, Chiba, 260-8670, Japan
| | - Daniela Samaniego-Castruita
- La Jolla Institute for Immunology, 9420 Athena Circle, La Jolla, CA, 92037, USA
- Biological Sciences Graduate Program, University of California San Diego, La Jolla, CA, 92093, USA
| | - Anjana Rao
- La Jolla Institute for Immunology, 9420 Athena Circle, La Jolla, CA, 92037, USA.
- Bioinformatics and Systems Biology Graduate Program, University of California San Diego, La Jolla, CA, 92093, USA.
- Department of Pharmacology, University of California San Diego, La Jolla, CA, 92093, USA.
- Sanford Consortium for Regenerative Medicine, La Jolla, CA, 92093, USA.
- Moores Cancer Center, University of California San Diego, La Jolla, CA, 92093, USA.
| | - Ferhat Ay
- La Jolla Institute for Immunology, 9420 Athena Circle, La Jolla, CA, 92037, USA.
- Bioinformatics and Systems Biology Graduate Program, University of California San Diego, La Jolla, CA, 92093, USA.
- Moores Cancer Center, University of California San Diego, La Jolla, CA, 92093, USA.
- Department of Pediatrics, University of California San Diego, La Jolla, CA, 92093, USA.
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Nicolò E, Gianni C, Pontolillo L, Serafini MS, Munoz-Arcos LS, Andreopoulou E, Curigliano G, Reduzzi C, Cristofanilli M. Circulating tumor cells et al.: towards a comprehensive liquid biopsy approach in breast cancer. TRANSLATIONAL BREAST CANCER RESEARCH : A JOURNAL FOCUSING ON TRANSLATIONAL RESEARCH IN BREAST CANCER 2024; 5:10. [PMID: 38751670 PMCID: PMC11093063 DOI: 10.21037/tbcr-23-55] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/12/2023] [Accepted: 03/21/2024] [Indexed: 05/18/2024]
Abstract
Liquid biopsy has emerged as a crucial tool in managing breast cancer (BC) patients, offering a minimally invasive approach to detect circulating tumor biomarkers. Until recently, the majority of the studies in BC focused on evaluating a single liquid biopsy analyte, primarily circulating tumor DNA and circulating tumor cells (CTCs). Despite the proven prognostic and predictive value of CTCs, their low abundance when detected using enrichment methods, especially in the early stages, poses a significant challenge. It is becoming evident that combining diverse circulating biomarkers, each representing different facets of tumor biology, has the potential to enhance the management of patients with BC. This article emphasizes the importance of considering these biomarkers as complementary/synergistic rather than competitive, recognizing their ability to contribute to a comprehensive disease profile. The review provides an overview of the clinical significance of simultaneously analyzing CTCs and other biomarkers, including cell-free circulating DNA, extracellular vesicles, non-canonical CTCs, cell-free RNAs, and non-malignant cells. Such a comprehensive liquid biopsy approach holds promise not only in BC but also in other cancer types, offering opportunities for early detection, prognostication, and therapy monitoring. However, addressing associated challenges, such as refining detection methods and establishing standardized protocols, is crucial for realizing the full potential of liquid biopsy in transforming our understanding and approach to BC. As the field evolves, collaborative efforts will be instrumental in unlocking the revolutionary impact of liquid biopsy in BC research and management.
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Affiliation(s)
- Eleonora Nicolò
- Department of Medicine, Division of Hematology-Oncology, Weill Cornell Medicine, New York, NY, USA
- Department of Oncology and Hematology-Oncology, University of Milan, Milan, Italy
- Division of Early Drug Development, European Institute of Oncology IRCCS, Milan, Italy
| | - Caterina Gianni
- Department of Medicine, Division of Hematology-Oncology, Weill Cornell Medicine, New York, NY, USA
- Department of Medical Oncology, IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) “Dino Amadori”, Meldola, Italy
| | - Letizia Pontolillo
- Department of Medicine, Division of Hematology-Oncology, Weill Cornell Medicine, New York, NY, USA
- Medical Oncology Department, Catholic University of Sacred Heart, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
| | - Mara Serena Serafini
- Department of Medicine, Division of Hematology-Oncology, Weill Cornell Medicine, New York, NY, USA
| | - Laura Sofia Munoz-Arcos
- Department of Medicine, Division of Hematology-Oncology, Weill Cornell Medicine, New York, NY, USA
| | - Eleni Andreopoulou
- Department of Medicine, Division of Hematology-Oncology, Weill Cornell Medicine, New York, NY, USA
| | - Giuseppe Curigliano
- Department of Oncology and Hematology-Oncology, University of Milan, Milan, Italy
- Division of Early Drug Development, European Institute of Oncology IRCCS, Milan, Italy
| | - Carolina Reduzzi
- Department of Medicine, Division of Hematology-Oncology, Weill Cornell Medicine, New York, NY, USA
| | - Massimo Cristofanilli
- Department of Medicine, Division of Hematology-Oncology, Weill Cornell Medicine, New York, NY, USA
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9
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Skardžiūtė K, Kvederavičiūtė K, Pečiulienė I, Narmontė M, Gibas P, Ličytė J, Klimašauskas S, Kriukienė E. One-pot trimodal mapping of unmethylated, hydroxymethylated, and open chromatin sites unveils distinctive 5hmC roles at dynamic chromatin loci. Cell Chem Biol 2024; 31:607-621.e9. [PMID: 38154461 PMCID: PMC10962225 DOI: 10.1016/j.chembiol.2023.12.003] [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: 06/26/2023] [Revised: 10/19/2023] [Accepted: 12/05/2023] [Indexed: 12/30/2023]
Abstract
We present a method, named Mx-TOP, for profiling of three epigenetic regulatory layers-chromatin accessibility, general DNA modification, and DNA hydroxymethylation-from a single library. The approach is based on chemo-enzymatic covalent tagging of unmodified CG sites and hydroxymethylated cytosine (5hmC) along with GC sites in chromatin, which are then mapped using tag-selective base-resolution TOP-seq sequencing. Our in-depth validation of the approach revealed its sensitivity and informativity in evaluating chromatin accessibility and DNA modification interactions that drive transcriptional regulation. We employed the technology in a study of chromatin and DNA demethylation dynamics during in vitro neuronal differentiation. The study highlighted the involvement of gene body 5hmC in modulating an extensive decoupling between promoter accessibility and transcription. The importance of 5hmC in chromatin remodeling was further demonstrated by the observed resistance of the developmentally acquired open loci to the global 5hmC erasure in neuronal progenitors.
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Affiliation(s)
- Kotryna Skardžiūtė
- Department of Biological DNA Modification, Institute of Biotechnology, Life Sciences Center, Vilnius University, 10257 Vilnius, Lithuania
| | - Kotryna Kvederavičiūtė
- Department of Biological DNA Modification, Institute of Biotechnology, Life Sciences Center, Vilnius University, 10257 Vilnius, Lithuania
| | - Inga Pečiulienė
- Department of Biological DNA Modification, Institute of Biotechnology, Life Sciences Center, Vilnius University, 10257 Vilnius, Lithuania
| | - Milda Narmontė
- Department of Biological DNA Modification, Institute of Biotechnology, Life Sciences Center, Vilnius University, 10257 Vilnius, Lithuania
| | - Povilas Gibas
- Department of Biological DNA Modification, Institute of Biotechnology, Life Sciences Center, Vilnius University, 10257 Vilnius, Lithuania
| | - Janina Ličytė
- Department of Biological DNA Modification, Institute of Biotechnology, Life Sciences Center, Vilnius University, 10257 Vilnius, Lithuania
| | - Saulius Klimašauskas
- Department of Biological DNA Modification, Institute of Biotechnology, Life Sciences Center, Vilnius University, 10257 Vilnius, Lithuania
| | - Edita Kriukienė
- Department of Biological DNA Modification, Institute of Biotechnology, Life Sciences Center, Vilnius University, 10257 Vilnius, Lithuania.
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10
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Ma X, Thela SR, Zhao F, Yao B, Wen Z, Jin P, Zhao J, Chen L. Deep5hmC: Predicting genome-wide 5-Hydroxymethylcytosine landscape via a multimodal deep learning model. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.03.04.583444. [PMID: 38496575 PMCID: PMC10942288 DOI: 10.1101/2024.03.04.583444] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/19/2024]
Abstract
5-hydroxymethylcytosine (5hmC), a critical epigenetic mark with a significant role in regulating tissue-specific gene expression, is essential for understanding the dynamic functions of the human genome. Using tissue-specific 5hmC sequencing data, we introduce Deep5hmC, a multimodal deep learning framework that integrates both the DNA sequence and the histone modification information to predict genome-wide 5hmC modification. The multimodal design of Deep5hmC demonstrates remarkable improvement in predicting both qualitative and quantitative 5hmC modification compared to unimodal versions of Deep5hmC and state-of-the-art machine learning methods. This improvement is demonstrated through benchmarking on a comprehensive set of 5hmC sequencing data collected at four time points during forebrain organoid development and across 17 human tissues. Notably, Deep5hmC showcases its practical utility by accurately predicting gene expression and identifying differentially hydroxymethylated regions in a case-control study of Alzheimer's disease.
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Affiliation(s)
- Xin Ma
- Department of Biostatistics, University of Florida, Gainesville, FL, 32603, USA
| | - Sai Ritesh Thela
- Department of Biostatistics, University of Florida, Gainesville, FL, 32603, USA
| | - Fengdi Zhao
- Department of Biostatistics, University of Florida, Gainesville, FL, 32603, USA
| | - Bing Yao
- Department of Human Genetics, Emory University School of Medicine, Atlanta, GA, 30322, USA
| | - Zhexing Wen
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, 30322, USA
| | - Peng Jin
- Department of Human Genetics, Emory University School of Medicine, Atlanta, GA, 30322, USA
| | - Jinying Zhao
- Department of Epidemiology, University of Florida, Gainesville, FL, 32603, USA
| | - Li Chen
- Department of Biostatistics, University of Florida, Gainesville, FL, 32603, USA
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11
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Kriukienė E, Tomkuvienė M, Klimašauskas S. 5-Hydroxymethylcytosine: the many faces of the sixth base of mammalian DNA. Chem Soc Rev 2024; 53:2264-2283. [PMID: 38205583 DOI: 10.1039/d3cs00858d] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2024]
Abstract
Epigenetic phenomena play a central role in cell regulatory processes and are important factors for understanding complex human disease. One of the best understood epigenetic mechanisms is DNA methylation. In the mammalian genome, cytosines (C) in CpG dinucleotides were long known to undergo methylation at the 5-position of the pyrimidine ring (mC). Later it was found that mC can be oxidized to 5-hydroxymethylcytosine (hmC) or even further to 5-formylcytosine (fC) and to 5-carboxylcytosine (caC) by the action of 2-oxoglutarate-dependent dioxygenases of the TET family. These findings unveiled a long elusive mechanism of active DNA demethylation and bolstered a wave of studies in the area of epigenetic regulation in mammals. This review is dedicated to critical assessment of recent data on biochemical and chemical aspects of the formation and conversion of hmC in DNA, analytical techniques used for detection and mapping of this nucleobase in mammalian genomes as well as epigenetic roles of hmC in DNA replication, transcription, cell differentiation and human disease.
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Affiliation(s)
- Edita Kriukienė
- Institute of Biotechnology, Life Sciences Center, Vilnius University, Saulėtekio al. 7, LT-10257 Vilnius, Lithuania.
| | - Miglė Tomkuvienė
- Institute of Biotechnology, Life Sciences Center, Vilnius University, Saulėtekio al. 7, LT-10257 Vilnius, Lithuania.
| | - Saulius Klimašauskas
- Institute of Biotechnology, Life Sciences Center, Vilnius University, Saulėtekio al. 7, LT-10257 Vilnius, Lithuania.
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12
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Ren Y, Zhang Z, She Y, He Y, Li D, Shi Y, He C, Yang Y, Zhang W, Chen C. A Highly Sensitive and Specific Non-Invasive Test through Genome-Wide 5-Hydroxymethylation Mapping for Early Detection of Lung Cancer. SMALL METHODS 2024; 8:e2300747. [PMID: 37990399 DOI: 10.1002/smtd.202300747] [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: 06/14/2023] [Revised: 10/04/2023] [Indexed: 11/23/2023]
Abstract
Low-dose computed tomography screening can increase the detection for non-small-cell lung cancer (NSCLC). To improve the diagnostic accuracy of early-stage NSCLC detection, ultrasensitive methods are used to detect cell-free DNA (cfDNA) 5-hydroxymethylcytosine (5hmC) in plasma. Genome-wide 5hmC is profiled in 1990 cfDNA samples collected from patients with non-small cell lung cancer (NSCLC, n = 727), healthy controls (HEA, n = 1,092), as well as patients with small cell lung cancer (SCLC, n = 41), followed by sample randomization, differential analysis, feature selection, and modeling using a machine learning approach. Differentially modified features reflecting tissue origin. A weighted diagnostic model comprised of 105 features is developed to compute a detection score for each individual, which showed an area under the curve (AUC) range of 86.4%-93.1% in the internal and external validation sets for distinguishing lung cancer from HEA controls, significantly outperforming serum biomarkers (p < 0.001). The 5hmC-based model detected high-risk pulmonary nodules (AUC: 82%)and lung cancer of different subtypes with high accuracy as well. A highly sensitive and specific blood-based test is developed for detecting lung cancer. The 5hmC biomarkers in cfDNA offer a promising blood-based test for lung cancer.
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Affiliation(s)
- Yijiu Ren
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, 200433, China
| | - Zhou Zhang
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, 60611, USA
| | - Yunlang She
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, 200433, China
| | - Yayi He
- Department of Oncology, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China
| | - Dongdong Li
- Shanghai Epican Genetech, Co., Ltd., Shanghai, China
| | - Yixiang Shi
- Bionova (Shanghai) Medical Technology Co., Ltd, Shanghai, China
| | - Chuan He
- Department of Chemistry, The University of Chicago, Chicago, IL, 60637, USA
- The Howard Hughes Medical Institute, The University of Chicago, Chicago, IL, 60637, USA
| | - Yang Yang
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, 200433, China
| | - Wei Zhang
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, 60611, USA
- The Robert H. Lurie Comprehensive Cancer Center, Northwestern University Feinberg School of Medicine, Chicago, IL, 60611, USA
| | - Chang Chen
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, 200433, China
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13
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Weigert M, Cui XL, West-Szymanski D, Yu X, Bilecz AJ, Zhang Z, Dhir R, Kehoe M, Zhang W, He C, Lengyel E. 5-Hydroxymethylcytosine signals in serum are a predictor of chemoresistance in high-grade serous ovarian cancer. Gynecol Oncol 2024; 182:82-90. [PMID: 38262243 PMCID: PMC11246748 DOI: 10.1016/j.ygyno.2024.01.001] [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: 10/20/2023] [Revised: 12/11/2023] [Accepted: 01/04/2024] [Indexed: 01/25/2024]
Abstract
OBJECTIVE The genome-wide profiling of 5-hydroxymethylcytosines (5hmC) on circulating cell-free DNA (cfDNA) has revealed promising biomarkers for various diseases. The purpose of this study was to investigate 5hmC signals in serum cfDNA and identify novel predictive biomarkers for the development of chemoresistance in high-grade serous ovarian cancer (HGSOC). We hypothesized that 5hmC profiles in cfDNA reflect the development of chemoresistance and elucidate pathways that may drive chemoresistance in HGSOC. Moreover, we sought to identify predictors that would better stratify outcomes for women with intermediate-sensitive HGSOC. METHODS Women diagnosed with HGSOC and known platinum sensitivity status were selected for this study. Nano-hmC-Seal was performed on cfDNA isolated from archived serum samples, and differential 5hmC features were identified using DESeq2 to establish a model predictive of chemoresistance. RESULTS A multivariate model consisting of three features (preoperative CA-125, largest residual implant after surgery, 5hmC level of OSGEPL), stratified samples from intermediate sensitive, chemo-naive women diagnosed with HGSOC into chemotherapy-resistant- and sensitive-like strata with a significant difference in overall survival (OS). Independent analysis of The Cancer Genome Atlas data further confirmed that high OSGEPL1 expression is a favorable prognostic factor for HGSOC. CONCLUSIONS We have developed a novel multivariate model based on clinico-pathologic data and a cfDNA-derived 5hmC modified gene, OSGEPL1, that predicted response to platinum-based chemotherapy in intermediate-sensitive HGSOC. Our multivariate model applies to chemo-naïve samples regardless if the patint was treated with adjuvant or neoadjuvant chemotherapy. These results merit further investigation of the predictive capability of our model in larger cohorts.
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Affiliation(s)
- Melanie Weigert
- Department of Obstetrics and Gynecology/Section of Gynecologic Oncology, The University of Chicago, Chicago, IL, USA
| | - Xiao-Long Cui
- Department of Chemistry, Department of Biochemistry and Molecular Biology, Institute for Biophysical Dynamics, The University of Chicago, Chicago, IL, USA
| | - Diana West-Szymanski
- Department of Chemistry, Department of Biochemistry and Molecular Biology, Institute for Biophysical Dynamics, The University of Chicago, Chicago, IL, USA
| | - Xianbin Yu
- Department of Chemistry, Department of Biochemistry and Molecular Biology, Institute for Biophysical Dynamics, The University of Chicago, Chicago, IL, USA
| | | | - Zhou Zhang
- Department of Preventive Medicine and The Robert H. Lurie Comprehensive Cancer Center, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Rohin Dhir
- Department of Obstetrics and Gynecology/Section of Gynecologic Oncology, The University of Chicago, Chicago, IL, USA
| | - Mia Kehoe
- Department of Obstetrics and Gynecology/Section of Gynecologic Oncology, The University of Chicago, Chicago, IL, USA
| | - Wei Zhang
- Department of Preventive Medicine and The Robert H. Lurie Comprehensive Cancer Center, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Chuan He
- Department of Chemistry, Department of Biochemistry and Molecular Biology, Institute for Biophysical Dynamics, The University of Chicago, Chicago, IL, USA; Howard Hughes Medical Institute, The University of Chicago, Chicago, IL, USA
| | - Ernst Lengyel
- Department of Obstetrics and Gynecology/Section of Gynecologic Oncology, The University of Chicago, Chicago, IL, USA.
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14
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Bai D, Zhang X, Xiang H, Guo Z, Zhu C, Yi C. Simultaneous single-cell analysis of 5mC and 5hmC with SIMPLE-seq. Nat Biotechnol 2024:10.1038/s41587-024-02148-9. [PMID: 38336903 DOI: 10.1038/s41587-024-02148-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2022] [Accepted: 01/18/2024] [Indexed: 02/12/2024]
Abstract
Dynamic 5-methylcytosine (5mC) and 5-hydroxymethylcytosine (5hmC) modifications to DNA regulate gene expression in a cell-type-specific manner and are associated with various biological processes, but the two modalities have not yet been measured simultaneously from the same genome at the single-cell level. Here we present SIMPLE-seq, a scalable, base resolution method for joint analysis of 5mC and 5hmC from thousands of single cells. Based on orthogonal labeling and recording of 'C-to-T' mutational signals from 5mC and 5hmC sites, SIMPLE-seq detects these two modifications from the same molecules in single cells and enables unbiased DNA methylation dynamics analysis of heterogeneous biological samples. We applied this method to mouse embryonic stem cells, human peripheral blood mononuclear cells and mouse brain to give joint epigenome maps at single-cell and single-molecule resolution. Integrated analysis of these two cytosine modifications reveals distinct epigenetic patterns associated with divergent regulatory programs in different cell types as well as cell states.
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Affiliation(s)
- Dongsheng Bai
- State Key Laboratory of Protein and Plant Gene Research, School of Life Sciences, Peking University, Beijing, China
| | - Xiaoting Zhang
- State Key Laboratory of Protein and Plant Gene Research, School of Life Sciences, Peking University, Beijing, China
| | - Huifen Xiang
- Department of Obstetrics and Gynecology, First Affiliated Hospital of Anhui Medical University, Anhui, China
- NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, Anhui Medical University, Anhui, China
| | - Zijian Guo
- State Key Laboratory of Coordination Chemistry, Coordination Chemistry Institute, School of Chemistry and Chemical Engineering, Nanjing University, Nanjing, China
| | - Chenxu Zhu
- New York Genome Center, New York, NY, USA.
- Department of Physiology and Biophysics, Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY, USA.
| | - Chengqi Yi
- State Key Laboratory of Protein and Plant Gene Research, School of Life Sciences, Peking University, Beijing, China.
- Peking-Tsinghua Center for Life Sciences, Peking University, Beijing, China.
- Department of Chemical Biology and Synthetic and Functional Biomolecules Center, College of Chemistry and Molecular Engineering, Peking University, Beijing, China.
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15
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Chang Y, Li S, Li Z, Wang X, Chang F, Geng S, Zhu D, Zhong G, Wu W, Chang Y, Tu S, Mao M. Non-invasive detection of lymphoma with circulating tumor DNA features and protein tumor markers. Front Oncol 2024; 14:1341997. [PMID: 38313801 PMCID: PMC10834776 DOI: 10.3389/fonc.2024.1341997] [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: 11/21/2023] [Accepted: 01/02/2024] [Indexed: 02/06/2024] Open
Abstract
Background According to GLOBOCAN 2020, lymphoma ranked as the 9th most common cancer and the 12th leading cause of cancer-related deaths worldwide. Traditional diagnostic methods rely on the invasive excisional lymph node biopsy, which is an invasive approach with some limitations. Most lymphoma patients are diagnosed at an advanced stage since they are asymptomatic at the beginning, which has significantly impacted treatment efficacy and prognosis of the disease. Method This study assessed the performance and utility of a newly developed blood-based assay (SeekInCare) for lymphoma early detection. SeekInCare utilized protein tumor markers and a comprehensive set of cancer-associated genomic features, including copy number aberration (CNA), fragment size (FS), end motif, and lymphoma-related virus, which were profiled by shallow WGS of cfDNA. Results Protein marker CA125 could be used for lymphoma detection independent of gender, and the sensitivity was 27.8% at specificity of 98.0%. After integrating these multi-dimensional features, 77.8% sensitivity was achieved at specificity of 98.0%, while its NPV and PPV were both more than 92% for lymphoma detection. The sensitivity of early-stage (I-II) lymphoma was up to 51.3% (47.4% and 55.0% for stage I and II respectively). After 2 cycles of treatment, the molecular response of SeekInCare was correlated with the clinical outcome. Conclusion In summary, a blood-based assay can be an alternative to detect lymphoma with adequate performance. This approach becomes particularly valuable in cases where obtaining tissue biopsy is difficult to obtain or inconclusive.
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Affiliation(s)
- Yu Chang
- Department of Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Shiyong Li
- Research and Development, SeekIn Inc, Shenzhen, China
| | - Zhiming Li
- Department of Internal Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Xinhua Wang
- Department of Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | | | | | - Dandan Zhu
- Clinical Laboratories, Shenyou Bio, Zhengzhou, China
| | - Guolin Zhong
- Research and Development, SeekIn Inc, Shenzhen, China
| | - Wei Wu
- Research and Development, SeekIn Inc, Shenzhen, China
| | - Yinyin Chang
- Clinical Laboratories, Shenyou Bio, Zhengzhou, China
| | - Shichun Tu
- Clinical Laboratories, Shenyou Bio, Zhengzhou, China
| | - Mao Mao
- Research and Development, SeekIn Inc, Shenzhen, China
- Yonsei Song-Dang Institute for Cancer Research, Yonsei University, Seoul, Republic of Korea
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16
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Guler GD, Ning Y, Coruh C, Mognol GP, Phillips T, Nabiyouni M, Hazen K, Scott A, Volkmuth W, Levy S. Plasma cell-free DNA hydroxymethylation profiling reveals anti-PD-1 treatment response and resistance biology in non-small cell lung cancer. J Immunother Cancer 2024; 12:e008028. [PMID: 38212123 PMCID: PMC10806554 DOI: 10.1136/jitc-2023-008028] [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] [Accepted: 11/30/2023] [Indexed: 01/13/2024] Open
Abstract
BACKGROUND Treatment with immune checkpoint inhibitors (ICIs) targeting programmed death-1 (PD-1) can yield durable antitumor responses, yet not all patients respond to ICIs. Current approaches to select patients who may benefit from anti-PD-1 treatment are insufficient. 5-hydroxymethylation (5hmC) analysis of plasma-derived cell-free DNA (cfDNA) presents a novel non-invasive approach for identification of therapy response biomarkers which can tackle challenges associated with tumor biopsies such as tumor heterogeneity and serial sample collection. METHODS 151 blood samples were collected from 31 patients with non-small cell lung cancer (NSCLC) before therapy started and at multiple time points while on therapy. Blood samples were processed to obtain plasma-derived cfDNA, followed by enrichment of 5hmC-containing cfDNA fragments through biotinylation via a two-step chemistry and binding to streptavidin coated beads. 5hmC-enriched cfDNA and whole genome libraries were prepared in parallel and sequenced to obtain whole hydroxymethylome and whole genome plasma profiles, respectively. RESULTS Comparison of on-treatment time point to matched pretreatment samples from same patients revealed that anti-PD-1 treatment induced distinct changes in plasma cfDNA 5hmC profiles of responding patients, as judged by Response evaluation criteria in solid tumors, relative to non-responders. In responders, 5hmC accumulated over genes involved in immune activation such as inteferon (IFN)-γ and IFN-α response, inflammatory response and tumor necrosis factor (TNF)-α signaling, whereas in non-responders 5hmC increased over epithelial to mesenchymal transition genes. Molecular response to anti-PD-1 treatment, as measured by 5hmC changes in plasma cfDNA profiles were observed early on, starting with the first cycle of treatment. Comparison of pretreatment plasma samples revealed that anti-PD-1 treatment response and resistance associated genes can be captured by 5hmC profiling of plasma-derived cfDNA. Furthermore, 5hmC profiling of pretreatment plasma samples was able to distinguish responders from non-responders using T cell-inflamed gene expression profile, which was previously identified by tissue RNA analysis. CONCLUSIONS These results demonstrate that 5hmC profiling can identify response and resistance associated biological pathways in plasma-derived cfDNA, offering a novel approach for non-invasive prediction and monitoring of immunotherapy response in NSCLC.
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Affiliation(s)
| | - Yuhong Ning
- ClearNote Health Inc, San Diego, California, USA
| | - Ceyda Coruh
- ClearNote Health Inc, San Diego, California, USA
| | | | | | | | - Kyle Hazen
- ClearNote Health Inc, San Diego, California, USA
| | - Aaron Scott
- ClearNote Health Inc, San Diego, California, USA
| | | | - Samuel Levy
- ClearNote Health Inc, San Diego, California, USA
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17
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Erlitzki N, Kohli RM. An Overview of Global, Local, and Base-Resolution Methods for the Detection of 5-Hydroxymethylcytosine in Genomic DNA. Methods Mol Biol 2024; 2842:325-352. [PMID: 39012604 DOI: 10.1007/978-1-0716-4051-7_17] [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] [Indexed: 07/17/2024]
Abstract
The discovery of 5-hydroxymethylcytosine (5hmC) as a common DNA modification in mammalian genomes has ushered in new areas of inquiry regarding the dynamic epigenome. The balance between 5hmC and its precursor, 5-methylcytosine (5mC), has emerged as a determinant of key processes including cell fate specification, and alterations involving these bases have been implicated in the pathogenesis of various diseases. The identification of 5hmC separately from 5mC initially posed a challenge given that legacy epigenetic sequencing technologies could not discriminate between these two most abundant modifications, a significant blind spot considering their potentially functionally opposing roles. The growing interest in 5hmC, as well as in the Ten-Eleven Translocation (TET) family enzymes that catalyze its generation and further oxidation to 5-formylcytosine (5fC) and 5-carboxycytosine (5caC), has spurred the development of versatile methods for 5hmC detection. These methods enable the quantification and localization of 5hmC in diverse biological samples and, in some cases, at the resolution of individual nucleotides. However, navigating this growing toolbox of methods for 5hmC detection can be challenging. Here, we detail existing and emerging methods for the detection, quantification, and localization of 5hmC at global, locus-specific, and base resolution levels. These methods are discussed in the context of their advantages and limitations, with the goal of providing a framework to help guide researchers in choosing the level of resolution and the associated method that could be most suitable for specific needs.
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Affiliation(s)
- Noa Erlitzki
- Graduate Group in Biochemistry and Molecular Biophysics, University of Pennsylvania, Philadelphia, PA, USA
- Department of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Rahul M Kohli
- Department of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
- Department of Biochemistry and Biophysics, University of Pennsylvania, Philadelphia, PA, USA.
- Penn Epigenetics Institute, University of Pennsylvania, Philadelphia, PA, USA.
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18
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Lu D, Wu X, Wu W, Wu S, Li H, Zhang Y, Yan X, Zhai J, Dong X, Feng S, Zhang X, Sun F, Wang S, Cai K. Plasma cell-free DNA 5-hydroxymethylcytosine and whole-genome sequencing signatures for early detection of esophageal cancer. Cell Death Dis 2023; 14:843. [PMID: 38114477 PMCID: PMC10730877 DOI: 10.1038/s41419-023-06329-3] [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: 04/24/2023] [Revised: 11/05/2023] [Accepted: 11/23/2023] [Indexed: 12/21/2023]
Abstract
Esophageal cancer is a highly incidence and deadly disease with a poor prognosis, especially in developing countries. Owing to the lack of specific symptoms and early diagnostic biomarkers, most patients are diagnosed with advanced disease, leading to a 5-year survival rate of less than 15%. Early (n = 50) and middle-advanced (n = 50) esophageal squamous cell carcinoma (ESCC) patients, as well as 71 healthy individuals, underwent 5-hydroxymethylcytosine (5hmC) sequencing on their plasma cell-free DNA (cfDNA). A Northern Chinese cohort of cfDNA 5hmC dataset of 150 ESCC patients and 183 healthy individuals were downloaded for validation. A diagnostic model was developed using cfDNA 5hmC signatures and then improved by low-pass whole genome sequencing (WGS) features of cfDNA. Conserved cfDNA 5hmC modification motifs were observed in the two independent ESCC cohorts. The diagnostic model with 5hmC features achieved an AUC of 0.810 and 0.862 in the Southern and Northern cohorts, respectively, with sensitivities of 69.3-74.3% and specificities of 82.4-90.7%. The performance was well maintained in Stage I to Stage IV, with accuracy of 70-100%, but low in Stage 0, 33.3%. Low-pass WGS of cfDNA improved the AUC to 0.934 with a sensitivity of 82.4%, a specificity of 88.2%, and an accuracy of 84.3%, particularly significantly in Stage 0, with an accuracy up to 80%. 5hmC and WGS could efficiently differentiate very early ESCC from healthy individuals. These findings imply a non-invasive and convenient method for ESCC detection when clinical treatments are available and may eventually prolong survival.
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Affiliation(s)
- Di Lu
- Department of Thoracic Surgery, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China
| | - Xuanzhen Wu
- Department of Thoracic Surgery, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China
| | - Wendy Wu
- Berry Oncology Corporation, Beijing, 100102, China
| | - Shuangxiu Wu
- Berry Oncology Corporation, Beijing, 100102, China
| | - Hui Li
- Berry Oncology Corporation, Beijing, 100102, China
| | - Yuhong Zhang
- Berry Oncology Corporation, Beijing, 100102, China
| | - Xuebin Yan
- Department of Thoracic Surgery, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China
| | - Jianxue Zhai
- Department of Thoracic Surgery, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China
| | - Xiaoying Dong
- Department of Thoracic Surgery, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China
| | - Siyang Feng
- Department of Thoracic Surgery, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China
| | | | - Fuming Sun
- Berry Oncology Corporation, Beijing, 100102, China
| | - Shaobo Wang
- Berry Oncology Corporation, Beijing, 100102, China
| | - Kaican Cai
- Department of Thoracic Surgery, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China.
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Landberg N, Köhnke T, Feng Y, Nakauchi Y, Fan AC, Linde MH, Karigane D, Lim K, Sinha R, Malcovati L, Thomas D, Majeti R. IDH1-mutant preleukemic hematopoietic stem cells can be eliminated by inhibition of oxidative phosphorylation. Blood Cancer Discov 2023; 5:731701. [PMID: 38091010 PMCID: PMC10905513 DOI: 10.1158/2643-3230.bcd-23-0195] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2023] [Revised: 11/03/2023] [Accepted: 12/06/2023] [Indexed: 01/25/2024] Open
Abstract
Rare preleukemic hematopoietic stem cells (pHSCs) harboring only the initiating mutations can be detected at the time of AML diagnosis. pHSCs are the origin of leukemia and a potential reservoir for relapse. Using primary human samples and gene-editing to model isocitrate dehydrogenase 1 (IDH1) mutant pHSCs, we show epigenetic, transcriptional, and metabolic differences between pHSCs and healthy hematopoietic stem cells (HSCs). We confirm that IDH1 driven clonal hematopoiesis is associated with cytopenia, suggesting an inherent defect to fully reconstitute hematopoiesis. Despite giving rise to multilineage engraftment, IDH1-mutant pHSCs exhibited reduced proliferation, blocked differentiation, downregulation of MHC Class II genes, and reprogramming of oxidative phosphorylation metabolism. Critically, inhibition of oxidative phosphorylation resulted in complete eradication of IDH1-mutant pHSCs but not IDH2-mutant pHSCs or wildtype HSCs. Our results indicate that IDH1-mutant preleukemic clones can be targeted with complex I inhibitors, offering a potential strategy to prevent development and relapse of leukemia.
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Affiliation(s)
- Niklas Landberg
- Department of Medicine, Division of Hematology, Stanford School of Medicine, Stanford, California
- Institute for Stem Cell Biology and Regenerative Medicine, Stanford University, Stanford, California
| | - Thomas Köhnke
- Department of Medicine, Division of Hematology, Stanford School of Medicine, Stanford, California
- Institute for Stem Cell Biology and Regenerative Medicine, Stanford University, Stanford, California
| | - Yang Feng
- Department of Medicine, Division of Hematology, Stanford School of Medicine, Stanford, California
- Institute for Stem Cell Biology and Regenerative Medicine, Stanford University, Stanford, California
| | - Yusuke Nakauchi
- Department of Medicine, Division of Hematology, Stanford School of Medicine, Stanford, California
- Institute for Stem Cell Biology and Regenerative Medicine, Stanford University, Stanford, California
| | - Amy C. Fan
- Department of Medicine, Division of Hematology, Stanford School of Medicine, Stanford, California
- Institute for Stem Cell Biology and Regenerative Medicine, Stanford University, Stanford, California
- Immunology Graduate Program, Stanford University, Stanford, California
| | - Miles H. Linde
- Department of Medicine, Division of Hematology, Stanford School of Medicine, Stanford, California
- Institute for Stem Cell Biology and Regenerative Medicine, Stanford University, Stanford, California
- Immunology Graduate Program, Stanford University, Stanford, California
| | - Daiki Karigane
- Department of Medicine, Division of Hematology, Stanford School of Medicine, Stanford, California
- Institute for Stem Cell Biology and Regenerative Medicine, Stanford University, Stanford, California
| | - Kelly Lim
- Adelaide Medical School, University of Adelaide, Adelaide, Australia
- Precision Medicine, South Australian Health and Medical Research Institute, The University of Adelaide, Adelaide, Australia
| | - Rahul Sinha
- Institute for Stem Cell Biology and Regenerative Medicine, Stanford University, Stanford, California
| | - Luca Malcovati
- Department of Molecular Medicine, University of Pavia, Pavia, Italy
- Department of Hematology, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy
| | - Daniel Thomas
- Adelaide Medical School, University of Adelaide, Adelaide, Australia
- Precision Medicine, South Australian Health and Medical Research Institute, The University of Adelaide, Adelaide, Australia
| | - Ravindra Majeti
- Department of Medicine, Division of Hematology, Stanford School of Medicine, Stanford, California
- Institute for Stem Cell Biology and Regenerative Medicine, Stanford University, Stanford, California
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20
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Bronkhorst AJ, Holdenrieder S. The changing face of circulating tumor DNA (ctDNA) profiling: Factors that shape the landscape of methodologies, technologies, and commercialization. MED GENET-BERLIN 2023; 35:201-235. [PMID: 38835739 PMCID: PMC11006350 DOI: 10.1515/medgen-2023-2065] [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] [Indexed: 06/06/2024]
Abstract
Liquid biopsies, in particular the profiling of circulating tumor DNA (ctDNA), have long held promise as transformative tools in cancer precision medicine. Despite a prolonged incubation phase, ctDNA profiling has recently experienced a strong wave of development and innovation, indicating its imminent integration into the cancer management toolbox. Various advancements in mutation-based ctDNA analysis methodologies and technologies have greatly improved sensitivity and specificity of ctDNA assays, such as optimized preanalytics, size-based pre-enrichment strategies, targeted sequencing, enhanced library preparation methods, sequencing error suppression, integrated bioinformatics and machine learning. Moreover, research breakthroughs have expanded the scope of ctDNA analysis beyond hotspot mutational profiling of plasma-derived apoptotic, mono-nucleosomal ctDNA fragments. This broader perspective considers alternative genetic features of cancer, genome-wide characterization, classical and newly discovered epigenetic modifications, structural variations, diverse cellular and mechanistic ctDNA origins, and alternative biospecimen types. These developments have maximized the utility of ctDNA, facilitating landmark research, clinical trials, and the commercialization of ctDNA assays, technologies, and products. Consequently, ctDNA tests are increasingly recognized as an important part of patient guidance and are being implemented in clinical practice. Although reimbursement for ctDNA tests by healthcare providers still lags behind, it is gaining greater acceptance. In this work, we provide a comprehensive exploration of the extensive landscape of ctDNA profiling methodologies, considering the multitude of factors that influence its development and evolution. By illuminating the broader aspects of ctDNA profiling, the aim is to provide multiple entry points for understanding and navigating the vast and rapidly evolving landscape of ctDNA methodologies, applications, and technologies.
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Affiliation(s)
- Abel J Bronkhorst
- Technical University Munich Munich Biomarker Research Center, Institute of Laboratory Medicine, German Heart Center Lazarettstr. 36 80636 Munich Germany
| | - Stefan Holdenrieder
- Technical University Munich Munich Biomarker Research Center, Institute of Laboratory Medicine, German Heart Center Lazarettstr. 36 80636 Munich Germany
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21
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Gao L, Zhang Z, Cui XL, West-Szymanski D, Ye C, He C, Zhang W, Bissonnette M. Analysis of genome-wide 5-hydroxymethylation of blood samples stored in different anticoagulants: opportunities for the expansion of clinical resources for epigenetic research. Epigenetics 2023; 18:2271692. [PMID: 37898998 PMCID: PMC10627064 DOI: 10.1080/15592294.2023.2271692] [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: 04/21/2023] [Accepted: 10/10/2023] [Indexed: 10/31/2023] Open
Abstract
BACKGROUND Elucidating epigenetic mechanisms could provide new biomarkers for disease diagnosis and prognosis. Technological advances allow genome-wide profiling of 5-hydroxymethylcytosines (5hmC) in liquid biopsies. 5hmC-Seal followed by NGS is a highly sensitive technique for 5hmC biomarker discovery in cfDNA. Currently, 5hmC Seal is optimized for EDTA blood collection. We asked whether heparin was compatible with 5hmC Seal as many clinical and biobanked samples are stored in heparin. METHODS We obtained 60 samples in EDTA matched to 60 samples in heparin from the Prostate, Lung, Colorectal, and Ovarian (PLCO) Cancer Screening Trial. Samples were comprised of 30 controls and 30 individuals who were later diagnosed with colon cancer. We profiled genome-wide 5hmC in cfDNA using 5hmC-Seal assay followed by NGS. The 5hmC profiling data from samples collected in EDTA were systematically compared to those in heparin across various genomic features. RESULTS cfDNA isolation and library construction appeared comparable in heparin vs. EDTA. Typical genomic distribution patterns of 5hmC, including gene bodies and enhancer markers, were comparable in heparin vs. EDTA. 5hmC analysis of cases and controls yielded highly correlated differential features suggesting that both anticoagulants were compatible with 5hmC Seal assay. CONCLUSIONS While not currently recommended for the 5hmC-Seal protocol, blood samples stored in heparin were successfully used to generate analysable and biologically relevant genome-wide 5hmC profiling. Our findings are the first to support opportunities to expand the biospecimen resource to heparin samples for 5hmC Seal and perhaps other PCR-based technologies in epigenetic research.
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Affiliation(s)
- Lu Gao
- Department of Medicine, The University of Chicago, Chicago, IL, USA
- Department of Chemistry, The University of Chicago, Chicago, IL, USA
| | - Zhou Zhang
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Xiao-Long Cui
- Department of Chemistry, The University of Chicago, Chicago, IL, USA
| | | | - Chang Ye
- Department of Chemistry, The University of Chicago, Chicago, IL, USA
| | - Chuan He
- Department of Chemistry, The University of Chicago, Chicago, IL, USA
- The Howard Hughes Medical Institute, The University of Chicago, Chicago, IL, USA
| | - Wei Zhang
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Marc Bissonnette
- Department of Medicine, The University of Chicago, Chicago, IL, USA
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22
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Islam MS, Gopalan V, Lam AK, Shiddiky MJA. Current advances in detecting genetic and epigenetic biomarkers of colorectal cancer. Biosens Bioelectron 2023; 239:115611. [PMID: 37619478 DOI: 10.1016/j.bios.2023.115611] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2023] [Revised: 08/07/2023] [Accepted: 08/16/2023] [Indexed: 08/26/2023]
Abstract
Colorectal carcinoma (CRC) is the third most common cancer in terms of diagnosis and the second in terms of mortality. Recent studies have shown that various proteins, extracellular vesicles (i.e., exosomes), specific genetic variants, gene transcripts, cell-free DNA (cfDNA), circulating tumor DNA (ctDNA), microRNAs (miRNAs), long non-coding RNAs (lncRNAs), and altered epigenetic patterns, can be used to detect, and assess the prognosis of CRC. Over the last decade, a plethora of conventional methodologies (e.g., polymerase chain reaction [PCR], direct sequencing, enzyme-linked immunosorbent assay [ELISA], microarray, in situ hybridization) as well as advanced analytical methodologies (e.g., microfluidics, electrochemical biosensors, surface-enhanced Raman spectroscopy [SERS]) have been developed for analyzing genetic and epigenetic biomarkers using both optical and non-optical tools. Despite these methodologies, no gold standard detection method has yet been implemented that can analyze CRC with high specificity and sensitivity in an inexpensive, simple, and time-efficient manner. Moreover, until now, no study has critically reviewed the advantages and limitations of these methodologies. Here, an overview of the most used genetic and epigenetic biomarkers for CRC and their detection methods are discussed. Furthermore, a summary of the major biological, technical, and clinical challenges and advantages/limitations of existing techniques is also presented.
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Affiliation(s)
- Md Sajedul Islam
- Cancer Molecular Pathology, School of Medicine & Dentistry, Griffith University, Gold Coast Campus, Southport, QLD, 4222, Australia; Menzies Health Institute Queensland, Griffith University, Gold Coast, QLD, 4222, Australia
| | - Vinod Gopalan
- Cancer Molecular Pathology, School of Medicine & Dentistry, Griffith University, Gold Coast Campus, Southport, QLD, 4222, Australia; Menzies Health Institute Queensland, Griffith University, Gold Coast, QLD, 4222, Australia.
| | - Alfred K Lam
- Cancer Molecular Pathology, School of Medicine & Dentistry, Griffith University, Gold Coast Campus, Southport, QLD, 4222, Australia; Menzies Health Institute Queensland, Griffith University, Gold Coast, QLD, 4222, Australia; Pathology Queensland, Gold Coast University Hospital, Southport, QLD, 4215, Australia
| | - Muhammad J A Shiddiky
- Rural Health Research Institute, Charles Sturt University, Orange, NSW, 2800, Australia.
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23
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Kim SY, Jeong S, Lee W, Jeon Y, Kim YJ, Park S, Lee D, Go D, Song SH, Lee S, Woo HG, Yoon JK, Park YS, Kim YT, Lee SH, Kim KH, Lim Y, Kim JS, Kim HP, Bang D, Kim TY. Cancer signature ensemble integrating cfDNA methylation, copy number, and fragmentation facilitates multi-cancer early detection. Exp Mol Med 2023; 55:2445-2460. [PMID: 37907748 PMCID: PMC10689759 DOI: 10.1038/s12276-023-01119-5] [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: 06/26/2023] [Revised: 08/10/2023] [Accepted: 08/16/2023] [Indexed: 11/02/2023] Open
Abstract
Cell-free DNA (cfDNA) sequencing has demonstrated great potential for early cancer detection. However, most large-scale studies have focused only on either targeted methylation sites or whole-genome sequencing, limiting comprehensive analysis that integrates both epigenetic and genetic signatures. In this study, we present a platform that enables simultaneous analysis of whole-genome methylation, copy number, and fragmentomic patterns of cfDNA in a single assay. Using a total of 950 plasma (361 healthy and 589 cancer) and 240 tissue samples, we demonstrate that a multifeature cancer signature ensemble (CSE) classifier integrating all features outperforms single-feature classifiers. At 95.2% specificity, the cancer detection sensitivity with methylation, copy number, and fragmentomic models was 77.2%, 61.4%, and 60.5%, respectively, but sensitivity was significantly increased to 88.9% with the CSE classifier (p value < 0.0001). For tissue of origin, the CSE classifier enhanced the accuracy beyond the methylation classifier, from 74.3% to 76.4%. Overall, this work proves the utility of a signature ensemble integrating epigenetic and genetic information for accurate cancer detection.
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Affiliation(s)
| | | | | | - Yujin Jeon
- IMBdx Inc., Seoul, 08506, Republic of Korea
| | | | | | - Dongin Lee
- Department of Chemistry, Yonsei University, Seoul, 03722, Republic of Korea
| | - Dayoung Go
- IMBdx Inc., Seoul, 08506, Republic of Korea
| | - Sang-Hyun Song
- Cancer Research Institute, Seoul National University, Seoul, 03080, Republic of Korea
| | - Sanghoo Lee
- Seoul Clinical Laboratories Healthcare Inc., Yongin-si, Gyenggi-do, 16954, Republic of Korea
| | - Hyun Goo Woo
- Department of Physiology, Ajou University School of Medicine, Suwon, 16499, Republic of Korea
| | - Jung-Ki Yoon
- Division of Pulmonary and Critical Care Medicine, Department of Medicine, Stanford University, Stanford, CA, USA
| | - Young Sik Park
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul National University Hospital, Seoul, 03080, Republic of Korea
| | - Young Tae Kim
- Cancer Research Institute, Seoul National University, Seoul, 03080, Republic of Korea
- Department of Thoracic and Cardiovascular Surgery, Seoul National University Hospital, Seoul, 03080, Republic of Korea
| | - Se-Hoon Lee
- Division of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, 06351, Republic of Korea
- Department of Health Sciences and Technology, Samsung Advanced Institute of Health Sciences and Technology, Sungkyunkwan University, Seoul, 03063, Republic of Korea
| | - Kwang Hyun Kim
- Department of Urology, Ewha Womans University Seoul Hospital, Seoul, 07804, Republic of Korea
| | - Yoojoo Lim
- IMBdx Inc., Seoul, 08506, Republic of Korea
| | - Jin-Soo Kim
- IMBdx Inc., Seoul, 08506, Republic of Korea
- Department of Internal Medicine, Seoul Metropolitan Government Seoul National University Boramae Medical Center, Seoul, 07061, Republic of Korea
| | | | - Duhee Bang
- Department of Chemistry, Yonsei University, Seoul, 03722, Republic of Korea.
| | - Tae-You Kim
- IMBdx Inc., Seoul, 08506, Republic of Korea.
- Cancer Research Institute, Seoul National University, Seoul, 03080, Republic of Korea.
- Department of Internal Medicine, Seoul National University Hospital, Seoul, 03080, Republic of Korea.
- Department of Molecular Medicine and Biopharmaceutical Sciences, Graduate School of Convergence Science and Technology, Seoul National University, Seoul, 08826, Republic of Korea.
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24
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Xue X, Wang Z, Wang Y, Zhou X. Disease Diagnosis Based on Nucleic Acid Modifications. ACS Chem Biol 2023; 18:2114-2127. [PMID: 37527510 DOI: 10.1021/acschembio.3c00251] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/03/2023]
Abstract
Nucleic acid modifications include a wide range of epigenetic and epitranscriptomic factors and impact a wide range of nucleic acids due to their profound influence on biological inheritance, growth, and metabolism. The recently developed methods of mapping and characterizing these modifications have promoted their discovery as well as large-scale studies in eukaryotes, especially in humans. Because of these pioneering strategies, nucleic acid modifications have been shown to have a great impact on human disorders such as cancer. Therefore, whether nucleic acid modifications could become a new type of biomarker remains an open question. In this review, we briefly look back at classical nucleic acid modifications and then focus on the progress made in investigating these modifications as diagnostic biomarkers in clinical therapy and present our perspective on their development prospects.
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Affiliation(s)
- Xiaochen Xue
- College of Chemistry and Molecular Sciences, Wuhan University, Wuhan 430072, China
| | - Zhiying Wang
- College of Chemistry and Molecular Sciences, Wuhan University, Wuhan 430072, China
- Department of Chemistry, College of Sciences, Huazhong Agricultural University, Wuhan 430070, China
| | - Yafen Wang
- School of Public Health, Wuhan University, Wuhan 430071, China
| | - Xiang Zhou
- College of Chemistry and Molecular Sciences, Wuhan University, Wuhan 430072, China
- Taikang Center for Life and Medical Sciences, Wuhan University, Wuhan 430071, China
- Cross Research Institute of Zhongnan Hospital, Wuhan University, Wuhan 430071, China
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25
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Li Q, Huang CC, Huang S, Tian Y, Huang J, Bitaraf A, Dong X, Nevalanen MT, Zhang J, Manley BJ, Park JY, Kohli M, Gore EM, Kilari D, Wang L. 5-hydroxymethylcytosine sequencing in plasma cell-free DNA identifies unique epigenomic features in prostate cancer patients resistant to androgen deprivation therapy. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.10.13.23296758. [PMID: 37904926 PMCID: PMC10615016 DOI: 10.1101/2023.10.13.23296758] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/01/2023]
Abstract
Background Currently there are no biomarkers to identify resistance to androgen-deprivation therapy (ADT) in men with hormone-naive prostate cancer. 5-hydroxymethylcytosines (5hmC) in the gene body are associated with gene activation and are critical for epigenomic regulation of cancer progression. Objective To evaluate whether 5hmC signature in cell-free DNA (cfDNA) predicts early ADT resistance. Design Setting and Participants Serial plasma samples from 55 prostate cancer patients receiving ADT were collected at three timepoints including baseline (prior to initiating ADT, N=55), 3-month (after initiating ADT, N=55), and disease progression (N=15) within 24 months or 24-month if no progression was detected (N=14). 20 of the 55 patients showed disease progression during the 24-month follow-up. The remaining 35 patients showed no progression in the same follow-up period. Outcome Measurements and Statistical Analysis cfDNA (5-10ng) was used for selective chemical labeling (hMe-Seal) sequencing to map 5hmC abundance across the genome. Read counts in gene bodies were normalized with DESeq2. Differential methylation and gene set enrichment analyses were performed to identify the 5hmC-enriched genes and biological processes that were associated with disease progression. Kaplan-Meir analysis was utilized to determine the association of 5hmC signatures with progression-free survival. Results and Limitations 5hmC-sequencing generated an average of 18.6 (range 6.03 to 42.43) million reads per sample with 98% (95-99%) mappable rate. Baseline sample comparisons identified significant 5hmC difference in 1,642 of 23,433 genes between 20 patients with progression and 35 patients without progression (false discovery rate, FDR<0.1). Patients with progression showed significant enrichments in multiple hallmark gene sets with androgen responses as the top enriched gene set (FDR=1.19E-13). Interestingly, this enrichment was driven by a subgroup of patients with disease progression featuring a significant 5hmC hypermethylation of the gene sets involving AR, FOXA1 and GRHL2. To quantify overall activities of these gene sets, we developed a gene set activity score algorithm using a mean value of log2 ratios of gene read counts in an entire gene set. We found that the activity scores in these gene sets were significantly higher in this subgroup of patients with progression than in the remaining patients regardless of the progression status. Furthermore, the high activity scores in these gene sets were associated with poor progression-free survival (p <0.05). Longitudinal analysis showed that activity scores in this subgroup with progression were significantly reduced after 3-month ADT but returned to high levels when the disease was progressed. Conclusions 5hmC-sequencing in cfDNA identified a subgroup of prostate cancer patients with preexisting activation (5hmC hypermethylation) of gene sets involving AR, FOXA1 and GRHL2 before initiating ADT. Activity scores in these gene sets may serve as sensitive biomarkers to determine treatment resistance, monitor disease progression and potentially identify patients who would benefit from upfront treatment intensification. More studies are needed to validate this initial finding. Patient summary There are no clinical tests to identify prostate cancer patients who will develop early resistance to androgen deprivation therapy within 24 months. In this study, we evaluated cell-free DNA epigenomic modification in blood and identified significant enrichment of 5-hydroxymethylation in androgen response genes in a subgroup of patients with treatment resistance. High level 5-hydroxylmethylation in these genes may serve as a discriminative biomarker to diagnose patients who are likely to experience early failure during androgen deprivation therapy.
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Affiliation(s)
- Qianxia Li
- Department of Tumor Biology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida, USA
- Department of Oncology, Tongji Hospital, Huazhong University of Science and Technology, Wuhan, China
| | - Chiang-Ching Huang
- Department of Biostatics, Joseph J. Zilber College of Public Health, University of Wisconsin, Milwaukee, Wisconsin, USA
| | - Shane Huang
- Department of Biostatics, University of Wisconsin, Madison, Wisconsin, USA
| | - Yijun Tian
- Department of Tumor Biology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida, USA
| | - Jinyong Huang
- Department of Tumor Biology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida, USA
| | - Amirreza Bitaraf
- Department of Tumor Biology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida, USA
| | - Xiaowei Dong
- Department of Biostatics, Joseph J. Zilber College of Public Health, University of Wisconsin, Milwaukee, Wisconsin, USA
| | - Marja T. Nevalanen
- Dept. of Pharmacology, Physiology and Cancer Biology, Sidney Kimmel Cancer Center, Thomas Jefferson University, Philadelphia, USA
| | - Jingsong Zhang
- Department of Genitourinary Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida, USA
| | - Brandon J. Manley
- Department of Genitourinary Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida, USA
| | - Jong Y. Park
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida, USA
| | - Manish Kohli
- Department of Oncology, Huntsman Cancer Center, University of Utah, Salt Lake City, Utah, USA
| | - Elizabeth M. Gore
- Department of Radiation Oncology, Medical College of Wisconsin, Milwaukee, Wisconsin, USA
| | - Deepak Kilari
- Division of Oncology, Medical College of Wisconsin, Milwaukee, Wisconsin, USA
| | - Liang Wang
- Department of Tumor Biology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida, USA
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García-Ortiz MV, Cano-Ramírez P, Toledano-Fonseca M, Aranda E, Rodríguez-Ariza A. Diagnosing and monitoring pancreatic cancer through cell-free DNA methylation: progress and prospects. Biomark Res 2023; 11:88. [PMID: 37798621 PMCID: PMC10552233 DOI: 10.1186/s40364-023-00528-y] [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: 07/24/2023] [Accepted: 09/21/2023] [Indexed: 10/07/2023] Open
Abstract
Pancreatic cancer is one of the most challenging cancers due to its high mortality rates. Considering the late diagnosis and the limited survival benefit with current treatment options, it becomes imperative to optimize early detection, prognosis and prediction of treatment response. To address these challenges, significant research efforts have been undertaken in recent years to develop liquid-biopsy-based biomarkers for pancreatic cancer. In particular, an increasing number of studies point to cell-free DNA (cfDNA) methylation analysis as a promising non-invasive approach for the discovery and validation of epigenetic biomarkers with diagnostic or prognostic potential. In this review we provide an update on recent advancements in the field of cfDNA methylation analysis in pancreatic cancer. We discuss the relevance of DNA methylation in the context of pancreatic cancer, recent cfDNA methylation research, its clinical utility, and future directions for integrating cfDNA methylation analysis into routine clinical practice.
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Affiliation(s)
- María Victoria García-Ortiz
- Maimónides Biomedical Research Institute of Córdoba (IMIBIC), Córdoba, Spain.
- Andalusia-Roche Network Mixed Alliance in Precision Medical Oncology, Sevilla, Spain.
- Cancer Network Biomedical Research Center (CIBERONC), Madrid, Spain.
| | - Pablo Cano-Ramírez
- Maimónides Biomedical Research Institute of Córdoba (IMIBIC), Córdoba, Spain
- Andalusia-Roche Network Mixed Alliance in Precision Medical Oncology, Sevilla, Spain
| | - Marta Toledano-Fonseca
- Maimónides Biomedical Research Institute of Córdoba (IMIBIC), Córdoba, Spain
- Andalusia-Roche Network Mixed Alliance in Precision Medical Oncology, Sevilla, Spain
- Cancer Network Biomedical Research Center (CIBERONC), Madrid, Spain
| | - Enrique Aranda
- Maimónides Biomedical Research Institute of Córdoba (IMIBIC), Córdoba, Spain
- Andalusia-Roche Network Mixed Alliance in Precision Medical Oncology, Sevilla, Spain
- Cancer Network Biomedical Research Center (CIBERONC), Madrid, Spain
- Medical Oncology Department, Reina Sofía University Hospital, Córdoba, Spain
- Department of Medicine, Faculty of Medicine, University of Córdoba, Córdoba, Spain
| | - Antonio Rodríguez-Ariza
- Maimónides Biomedical Research Institute of Córdoba (IMIBIC), Córdoba, Spain
- Andalusia-Roche Network Mixed Alliance in Precision Medical Oncology, Sevilla, Spain
- Cancer Network Biomedical Research Center (CIBERONC), Madrid, Spain
- Medical Oncology Department, Reina Sofía University Hospital, Córdoba, Spain
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27
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Liu HY, Qin S, Zhang Z, Qi J, Zhang W, Liu SM, Zhang Y. Associations of MTHFR Polymorphisms and Cytosine Modifications with Early-Gestational Diabetes Mellitus in Chinese Pregnant Women. Reprod Sci 2023; 30:2973-2982. [PMID: 37154866 DOI: 10.1007/s43032-023-01247-3] [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: 12/28/2022] [Accepted: 04/23/2023] [Indexed: 05/10/2023]
Abstract
Early-Gestational Diabetes Mellitus (Early-GDM) is a complex condition that may cause complications in infants of affected mothers. The aim of this case-control study was to analyze the effects of genetic-epigenetic interaction on Early-GDM and fetal development with respect to cytosine modifications (i.e., 5mC, 5-methylcytosines; and 5hmC, 5-hydroxymethylcytosines) and single nucleotide polymorphisms (SNPs) of MTHFR, a key gene involving cytosine modifications. Peripheral blood samples were collected from 92 women in their first or second trimester of pregnancy (Early-GDM, n = 14; Controls, n = 78). Global DNA 5mC and 5hmC were quantified by HPLC-MS/MS, and MTHFR SNPs (rs1801133 C > T and rs1801131 A > C) were determined by TaqMan-qPCR. Association analysis suggested that MTHFR rs1801133 TT genotype was a risk factor of Early-GDM (OR [odds ratio] = 4.00; 95% CI [confidence interval]: 1.24, 12.86; p = 0.02). The C allele of rs1801131 appeared to be a protective factor for the 2-h OGTT (oral glucose tolerance test) (OR = -0.79; 95% CI: -1.48, -0.10; p = 0.03). Patients with Early-GDM had higher global 5mC and lower global 5hmC. The reduction of global 5hmC and the TT genotype of rs1801133 were associated with higher level of the 1st-FBG (fasting blood glucose in the first trimester) (p < 0.05). Additionally, global 5mC showed a positive correlation with birth weight, body length and head circumference of newborns, while global 5hmC showed a negative correlation with birth weight. The current study implicated MTHFR SNPs and cytosine modifications in the development of Early-GDM and potential complications in their newborns.
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Affiliation(s)
- Huan-Yu Liu
- Department of Gynaecology and Obstetrics, Zhongnan Hospital of Wuhan University, Wuhan, 430071, Hubei Province, China
- Hubei Clinical Research Center for Prenatal Diagnosis and Birth Health, Wuhan, 430071, China
| | - Shanshan Qin
- College of Chemistry and Molecular Sciences, Key Laboratory of Biomedical Polymers of Ministry of Education, Wuhan University, Wuhan, 430072, Hubei, China
| | - Zhou Zhang
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, 60611, USA
| | - Jiahui Qi
- Department of Clinical Laboratory, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Wei Zhang
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, 60611, USA.
- Center for Genetic Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, 60611, USA.
| | - Song-Mei Liu
- Hubei Clinical Research Center for Prenatal Diagnosis and Birth Health, Wuhan, 430071, China.
- Department of Clinical Laboratory, Center for Gene Diagnosis, and Program of Clinical Laboratory, Zhongnan Hospital of Wuhan University, Wuhan, 430071, Hubei Province, China.
| | - Yuanzhen Zhang
- Department of Gynaecology and Obstetrics, Zhongnan Hospital of Wuhan University, Wuhan, 430071, Hubei Province, China.
- Hubei Clinical Research Center for Prenatal Diagnosis and Birth Health, Wuhan, 430071, China.
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Viswanathan R, Cheruba E, Wong PM, Yi Y, Ngang S, Chong DQ, Loh YH, Tan IB, Cheow LF. DARESOME enables concurrent profiling of multiple DNA modifications with restriction enzymes in single cells and cell-free DNA. SCIENCE ADVANCES 2023; 9:eadi0197. [PMID: 37713482 PMCID: PMC10881072 DOI: 10.1126/sciadv.adi0197] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Accepted: 08/15/2023] [Indexed: 09/17/2023]
Abstract
5-Methylcytosine (5mC) and 5-hydroxymethylcytosine (5hmC) are the most abundant DNA modifications that have important roles in gene regulation. Detailed studies of these different epigenetic marks aimed at understanding their combined effects and dynamic interconversion are, however, hampered by the inability of current methods to simultaneously measure both modifications, particularly in samples with limited quantities. We present DNA analysis by restriction enzyme for simultaneous detection of multiple epigenomic states (DARESOME), an assay based on modification-sensitive restriction digest and sequential tag ligation that can concurrently perform quantitative profiling of unmodified cytosine, 5mC, and 5hmC in CCGG sites genome-wide. DARESOME reveals the opposing roles of 5mC and 5hmC in gene expression regulation as well as their interconversion during aging in mouse brain. Implementation of DARESOME in single cells demonstrates pronounced 5hmC strand bias that reflects the semiconservative replication of DNA. Last, we showed that DARESOME enables integrative genomic, 5mC, and 5hmC profiling of cell-free DNA that uncovered multiomics cancer signatures in liquid biopsy.
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Affiliation(s)
- Ramya Viswanathan
- Department of Biomedical Engineering, Faculty of Engineering, National University of Singapore, Singapore 117583, Singapore
- Institute for Health Innovation and Technology, National University of Singapore, Singapore 117599, Singapore
| | - Elsie Cheruba
- Department of Biomedical Engineering, Faculty of Engineering, National University of Singapore, Singapore 117583, Singapore
- Institute for Health Innovation and Technology, National University of Singapore, Singapore 117599, Singapore
| | - Pui-Mun Wong
- Genome Institute of Singapore, Agency for Science, Technology and Research, Singapore 138672, Singapore
| | - Yao Yi
- Institute of Molecular and Cell Biology, Agency for Science, Technology and Research, Singapore 138673, Singapore
| | - Shaun Ngang
- Department of Biomedical Engineering, Faculty of Engineering, National University of Singapore, Singapore 117583, Singapore
- Institute for Health Innovation and Technology, National University of Singapore, Singapore 117599, Singapore
| | - Dawn Qingqing Chong
- Division of Medical Oncology, National Cancer Centre Singapore, Singapore 169610, Singapore
- Duke-NUS Medical School, National University of Singapore, Singapore 169857, Singapore
| | - Yuin-Han Loh
- Institute of Molecular and Cell Biology, Agency for Science, Technology and Research, Singapore 138673, Singapore
- Department of Biological Sciences, National University of Singapore, Singapore 117543, Singapore
| | - Iain Beehuat Tan
- Genome Institute of Singapore, Agency for Science, Technology and Research, Singapore 138672, Singapore
- Division of Medical Oncology, National Cancer Centre Singapore, Singapore 169610, Singapore
- Duke-NUS Medical School, National University of Singapore, Singapore 169857, Singapore
| | - Lih Feng Cheow
- Department of Biomedical Engineering, Faculty of Engineering, National University of Singapore, Singapore 117583, Singapore
- Institute for Health Innovation and Technology, National University of Singapore, Singapore 117599, Singapore
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Moufarrej MN, Quake SR. An inexpensive semi-automated sample processing pipeline for cell-free RNA extraction. Nat Protoc 2023; 18:2772-2793. [PMID: 37567931 DOI: 10.1038/s41596-023-00855-2] [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: 07/06/2022] [Accepted: 05/24/2023] [Indexed: 08/13/2023]
Abstract
Despite advances in automated liquid handling and microfluidics, preparing samples for RNA sequencing at scale generally requires expensive equipment, which is beyond the reach of many academic laboratories. Manual sample preparation remains a slow, expensive and error-prone process. Here, we describe a low-cost, semi-automated pipeline to extract cell-free RNA using one of two commercially available, inexpensive and open-source robotic systems: the Opentrons OT1.0 or OT2.0. Like many RNA isolation protocols, ours can be decomposed into three subparts: RNA extraction, DNA digestion and RNA cleaning and concentration. RT-qPCR data using a synthetic spike-in confirms comparable RNA quality to the gold standard, manual sample processing. The semi-automated pipeline also shows improvement in sample throughput (+12×), time spent (-11×), cost (-3×) and biohazardous waste produced (-4×) compared with its manual counterpart. This protocol enables cell-free RNA extraction from 96 samples simultaneously in 4.5 h; in practice, this dramatically improves the time to results, as we recently demonstrated. Importantly, any laboratory already has most of the parts required (manual pipette and corresponding tips and kits for RNA isolation, cleaning and concentration) to build a semi-automated sample processing pipeline of their own and would only need to purchase or three-dimensionally print a few extra parts (US$5.5 K-12 K in total). This pipeline is also generalizable for many nucleic acid extraction applications, thereby increasing the scale of studies, which can be performed in small research laboratories.
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Affiliation(s)
- Mira N Moufarrej
- Department of Bioengineering, Stanford University, Stanford, CA, USA
- The Column Group, San Francisco, CA, USA
| | - Stephen R Quake
- Department of Bioengineering, Stanford University, Stanford, CA, USA.
- Chan Zuckerberg Initiative, Redwood City, CA, USA.
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Jevšinek Skok D, Hauptman N. Steadfast Toll Like Receptor 4 ( TLR4) 5-Hydroxymethylcytosine Levels in Cell-Free DNA: A Promising Consistency Marker for Colorectal Cancer Patients. Genes (Basel) 2023; 14:1636. [PMID: 37628686 PMCID: PMC10454843 DOI: 10.3390/genes14081636] [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: 07/16/2023] [Revised: 08/12/2023] [Accepted: 08/16/2023] [Indexed: 08/27/2023] Open
Abstract
Cell-free DNA (cfDNA) from patient blood is emerging as a noninvasive diagnostic avenue for various cancers. We aimed to identify reliable biomarkers in cfDNA by investigating genes exhibiting significant differences between colorectal cancer and control samples. Our objective was to identify genes that showed a positive difference between cancer and control samples. To achieve this, we conducted an in silico analysis to identify genes that exhibit no significant variation in methylation between genomic DNA (gDNA) and cfDNA. We collected experimental data from publicly available repositories, which included 5-hydroxymethylcytosine (5hmC) profiles of gDNA and cfDNA samples from both cancer patients and healthy individuals. By comparing and overlapping these two groups, we identified 187 genes of interest, of which 53 genes had a positive difference among colon cancer patients and healthy individuals. Next, we performed an ANOVA test on these genes, resulting in the identification of 12 genes that showed statistically significant higher levels of 5hmC in cfDNA and gDNA from cancer patients compared to healthy individuals. Additionally, we compared the 5hmC status of these genes between cfDNA and gDNA from cancer patients. Interestingly, we found that the 5hmC of the toll like receptor 4 (TLR4) gene was not statistically different between cfDNA and gDNA from cancer patients, indicating consistency between cfDNA and gDNA. These findings have important implications, not only for experimental validation but also for the development of more sensitive and robust noninvasive methods to improve diagnostic, prognostic, and treatment options for colon cancer.
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Affiliation(s)
- Daša Jevšinek Skok
- Agricultural Institute of Slovenia, Hacquetova ulica 17, SI-1000 Ljubljana, Slovenia;
| | - Nina Hauptman
- Institute of Pathology, Faculty of Medicine, University of Ljubljana, Korytkova 2, SI-1000 Ljubljana, Slovenia
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31
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Fader KA, Gosink MM, Xia S, Lanz TA, Halsey C, Vaidya VS, Radi ZA. Thymic lymphoma detection in RORγ knockout mice using 5-hydroxymethylcytosine profiling of circulating cell-free DNA. Toxicol Appl Pharmacol 2023; 473:116582. [PMID: 37295732 DOI: 10.1016/j.taap.2023.116582] [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: 05/24/2023] [Accepted: 06/04/2023] [Indexed: 06/12/2023]
Abstract
A high incidence of thymic lymphoma has been noted in mice deficient of retinoid-related orphan receptor γ2 (RORγ2), which is required for differentiation of naïve CD4+ T cells into TH17 cells. Using a RORγ homozygous knockout (KO) mouse model of thymic lymphoma, we characterized this tumor progression and investigated the utility of 5-hydroxymethylcytosine (5hmC) signatures as a non-invasive circulating biomarker for early prediction of malignancy. No evidence for malignancy was noted in the wild-type mice, while primary thymic lymphoma with multi-organ metastasis was observed microscopically in 97% of the homozygous RORγ KO mice. The severity of thymic lymphoma was not age-dependent in the KO mice of 2 to 4 months old. Differential enrichment of 5hmC in thymic DNA and plasma cell-free DNA (cfDNA) was compared across different stages of tumor progression. Random forest modeling of plasma cfDNA achieved good predictivity (AUC = 0.74) in distinguishing early non-metastatic thymic lymphoma compared to cancer-free controls, while perfect predictivity was achieved with advanced multi-organ metastatic disease (AUC = 1.00). Lymphoid-specific genes involved in thymocyte selection during T cell development (Themis, Tox) were differentially enriched in both plasma and thymic tissue. This could help in differentiating thymic lymphoma from other tumors commonly detected in rodent carcinogenicity studies used in pharmaceutical drug development to inform human malignancy risk. Overall, these results provide a proof-of-concept for using circulating cfDNA profiles in rodent carcinogenicity studies for early risk assessment of novel pharmaceutical targets.
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Affiliation(s)
- Kelly A Fader
- Pfizer Worldwide Research, Development and Medical; Early Clinical Development; Groton, CT, USA.
| | - Mark M Gosink
- Boehringer Ingelheim Pharmaceuticals, Inc.; Ridgefield, CT, USA
| | - Shuhua Xia
- Pfizer Worldwide Research, Development and Medical; Drug Safety Research and Development; Groton, CT, USA
| | - Thomas A Lanz
- Pfizer Worldwide Research, Development and Medical; Drug Safety Research and Development; Groton, CT, USA
| | - Charles Halsey
- Pfizer Worldwide Research, Development and Medical; Drug Safety Research and Development; Groton, CT, USA
| | - Vishal S Vaidya
- Pfizer Worldwide Research, Development and Medical; Drug Safety Research and Development; Cambridge, MA, USA
| | - Zaher A Radi
- Pfizer Worldwide Research, Development and Medical; Drug Safety Research and Development; Cambridge, MA, USA
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Zhang X, Zhang Y, Wang C, Wang X. TET (Ten-eleven translocation) family proteins: structure, biological functions and applications. Signal Transduct Target Ther 2023; 8:297. [PMID: 37563110 PMCID: PMC10415333 DOI: 10.1038/s41392-023-01537-x] [Citation(s) in RCA: 21] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2022] [Revised: 05/24/2023] [Accepted: 06/05/2023] [Indexed: 08/12/2023] Open
Abstract
Ten-eleven translocation (TET) family proteins (TETs), specifically, TET1, TET2 and TET3, can modify DNA by oxidizing 5-methylcytosine (5mC) iteratively to yield 5-hydroxymethylcytosine (5hmC), 5-formylcytosine (5fC), and 5-carboxycytosine (5caC), and then two of these intermediates (5fC and 5caC) can be excised and return to unmethylated cytosines by thymine-DNA glycosylase (TDG)-mediated base excision repair. Because DNA methylation and demethylation play an important role in numerous biological processes, including zygote formation, embryogenesis, spatial learning and immune homeostasis, the regulation of TETs functions is complicated, and dysregulation of their functions is implicated in many diseases such as myeloid malignancies. In addition, recent studies have demonstrated that TET2 is able to catalyze the hydroxymethylation of RNA to perform post-transcriptional regulation. Notably, catalytic-independent functions of TETs in certain biological contexts have been identified, further highlighting their multifunctional roles. Interestingly, by reactivating the expression of selected target genes, accumulated evidences support the potential therapeutic use of TETs-based DNA methylation editing tools in disorders associated with epigenetic silencing. In this review, we summarize recent key findings in TETs functions, activity regulators at various levels, technological advances in the detection of 5hmC, the main TETs oxidative product, and TETs emerging applications in epigenetic editing. Furthermore, we discuss existing challenges and future directions in this field.
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Affiliation(s)
- Xinchao Zhang
- Department of Pathology, Ruijin Hospital and College of Basic Medical Sciences, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
- Key Laboratory of Cell Differentiation and Apoptosis of Chinese Ministry of Education, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Yue Zhang
- Department of Pathology, Ruijin Hospital and College of Basic Medical Sciences, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
- Key Laboratory of Cell Differentiation and Apoptosis of Chinese Ministry of Education, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Chaofu Wang
- Department of Pathology, Ruijin Hospital and College of Basic Medical Sciences, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
| | - Xu Wang
- Department of Pathology, Ruijin Hospital and College of Basic Medical Sciences, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
- Key Laboratory of Cell Differentiation and Apoptosis of Chinese Ministry of Education, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
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Chen Z, Li C, Zhou Y, Yao Y, Liu J, Wu M, Su J. Liquid biopsies for cancer: From bench to clinic. MedComm (Beijing) 2023; 4:e329. [PMID: 37492785 PMCID: PMC10363811 DOI: 10.1002/mco2.329] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2023] [Revised: 06/14/2023] [Accepted: 06/16/2023] [Indexed: 07/27/2023] Open
Abstract
Over the past two decades, liquid biopsy has been increasingly used as a supplement, or even, a replacement to the traditional biopsy in clinical oncological practice, due to its noninvasive and early detectable properties. The detections can be based on a variety of features extracted from tumor‑derived entities, such as quantitative alterations, genetic changes, and epigenetic aberrations, and so on. So far, the clinical applications of cancer liquid biopsy mainly aimed at two aspects, prediction (early diagnosis, prognosis and recurrent evaluation, therapeutic response monitoring, etc.) and intervention. In spite of the rapid development and great contributions achieved, cancer liquid biopsy is still a field under investigation and deserves more clinical practice. To better open up future work, here we systematically reviewed and compared the latest progress of the most widely recognized circulating components, including circulating tumor cells, cell-free circulating DNA, noncoding RNA, and nucleosomes, from their discovery histories to clinical values. According to the features applied, we particularly divided the contents into two parts, beyond epigenetics and epigenetic-based. The latter was considered as the highlight along with a brief overview of the advances in both experimental and bioinformatic approaches, due to its unique advantages and relatively lack of documentation.
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Affiliation(s)
- Zhenhui Chen
- School of Biomedical EngineeringSchool of Ophthalmology & Optometry and Eye HospitalWenzhou Medical UniversityWenzhouZhejiangChina
- Oujiang LaboratoryZhejiang Lab for Regenerative MedicineVision and Brain HealthWenzhouZhejiangChina
| | - Chenghao Li
- School of Biomedical EngineeringSchool of Ophthalmology & Optometry and Eye HospitalWenzhou Medical UniversityWenzhouZhejiangChina
| | - Yue Zhou
- School of Biomedical EngineeringSchool of Ophthalmology & Optometry and Eye HospitalWenzhou Medical UniversityWenzhouZhejiangChina
- Oujiang LaboratoryZhejiang Lab for Regenerative MedicineVision and Brain HealthWenzhouZhejiangChina
| | - Yinghao Yao
- Oujiang LaboratoryZhejiang Lab for Regenerative MedicineVision and Brain HealthWenzhouZhejiangChina
| | - Jiaqi Liu
- State Key Laboratory of Molecular OncologyNational Cancer Center/National Clinical Research Center for Cancer/Cancer HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Min Wu
- Wenzhou InstituteUniversity of Chinese Academy of SciencesWenzhouZhejiangChina
| | - Jianzhong Su
- School of Biomedical EngineeringSchool of Ophthalmology & Optometry and Eye HospitalWenzhou Medical UniversityWenzhouZhejiangChina
- Oujiang LaboratoryZhejiang Lab for Regenerative MedicineVision and Brain HealthWenzhouZhejiangChina
- Wenzhou InstituteUniversity of Chinese Academy of SciencesWenzhouZhejiangChina
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Liang G, Wang L, You Q, Cahill K, Chen C, Zhang W, Fulton N, Stock W, Odenike O, He C, Han D. Cellular Composition and 5hmC Signature Predict the Treatment Response of AML Patients to Azacitidine Combined with Chemotherapy. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2023; 10:e2300445. [PMID: 37271891 PMCID: PMC10427370 DOI: 10.1002/advs.202300445] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/19/2023] [Revised: 05/12/2023] [Indexed: 06/06/2023]
Abstract
Azacitidine (AZA) is a DNA methyltransferase inhibitor and epigenetic modulator that can be an effective agent in combination with chemotherapy for patients with high-risk acute myeloid leukemia (AML). However, biological factors driving the therapeutic response of such hypomethylating agent (HMA)-based therapies remain unknown. Herein, the transcriptome and/or genome-wide 5-hydroxymethylcytosine (5hmC) is characterized for 41 patients with high-risk AML from a phase 1 clinical trial treated with AZA epigenetic priming followed by high-dose cytarabine and mitoxantrone (AZA-HiDAC-Mito). Digital cytometry reveals that responders have elevated Granulocyte-macrophage-progenitor-like (GMP-like) malignant cells displaying an active cell cycle program. Moreover, the enrichment of natural killer (NK) cells predicts a favorable outcome in patients receiving AZA-HiDAC-Mito therapy or other AZA-based therapies. Comparing 5hmC profiles before and after five-day treatment of AZA shows that AZA exposure induces dose-dependent 5hmC changes, in which the magnitude correlates with overall survival (p = 0.015). An extreme gradient boosting (XGBoost) machine learning model is developed to predict the treatment response based on 5hmC levels of 11 genes, achieving an area under the curve (AUC) of 0.860. These results suggest that cellular composition markedly impacts the treatment response, and showcase the prospect of 5hmC signatures in predicting the outcomes of HMA-based therapies in AML.
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Affiliation(s)
- Guanghao Liang
- Key Laboratory of Genomic and Precision MedicineBeijing Institute of GenomicsChinese Academy of Sciences and China National Center for BioinformationBeijing100101China
- College of Future TechnologySino‐Danish CollegeUniversity of Chinese Academy of SciencesBeijing100049China
| | - Linchen Wang
- Key Laboratory of Genomic and Precision MedicineBeijing Institute of GenomicsChinese Academy of Sciences and China National Center for BioinformationBeijing100101China
- College of Future TechnologySino‐Danish CollegeUniversity of Chinese Academy of SciencesBeijing100049China
| | - Qiancheng You
- Department of Chemistry and Institute for Biophysical DynamicsThe University of ChicagoChicagoIL60637USA
- Howard Hughes Medical InstituteChicagoIL60637USA
| | - Kirk Cahill
- Section of Hematology/OncologyDepartment of MedicineUniversity of Chicago MedicineChicagoIL60637USA
| | - Chuanyuan Chen
- Key Laboratory of Genomic and Precision MedicineBeijing Institute of GenomicsChinese Academy of Sciences and China National Center for BioinformationBeijing100101China
- College of Future TechnologySino‐Danish CollegeUniversity of Chinese Academy of SciencesBeijing100049China
| | - Wei Zhang
- Department of MedicineUniversity of California, San DiegoLa JollaCA92093USA
- Bristol‐Myers SquibbSan DiegoCA92121USA
| | - Noreen Fulton
- Section of Hematology/OncologyDepartment of MedicineUniversity of Chicago MedicineChicagoIL60637USA
- Comprehensive Cancer CenterUniversity of Chicago MedicineChicagoIL60637USA
| | - Wendy Stock
- Section of Hematology/OncologyDepartment of MedicineUniversity of Chicago MedicineChicagoIL60637USA
- Comprehensive Cancer CenterUniversity of Chicago MedicineChicagoIL60637USA
| | - Olatoyosi Odenike
- Section of Hematology/OncologyDepartment of MedicineUniversity of Chicago MedicineChicagoIL60637USA
- Comprehensive Cancer CenterUniversity of Chicago MedicineChicagoIL60637USA
| | - Chuan He
- Department of Chemistry and Institute for Biophysical DynamicsThe University of ChicagoChicagoIL60637USA
- Howard Hughes Medical InstituteChicagoIL60637USA
- Department of Biochemistry and Molecular BiologyThe University of ChicagoChicagoIL60637USA
| | - Dali Han
- Key Laboratory of Genomic and Precision MedicineBeijing Institute of GenomicsChinese Academy of Sciences and China National Center for BioinformationBeijing100101China
- College of Future TechnologySino‐Danish CollegeUniversity of Chinese Academy of SciencesBeijing100049China
- Institute for Stem Cell and RegenerationChinese Academy of SciencesBeijing100101China
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Haan D, Bergamaschi A, Friedl V, Guler GD, Ning Y, Reggiardo R, Kesling M, Collins M, Gibb B, Hazen K, Bates S, Antoine M, Fraire C, Lopez V, Malta R, Nabiyouni M, Nguyen A, Phillips T, Riviere M, Leighton A, Ellison C, McCarthy E, Scott A, Gigliotti L, Nilson E, Sheard J, Peters M, Bethel K, Chowdhury S, Volkmuth W, Levy S. Epigenomic Blood-Based Early Detection of Pancreatic Cancer Employing Cell-Free DNA. Clin Gastroenterol Hepatol 2023; 21:1802-1809.e6. [PMID: 36967102 DOI: 10.1016/j.cgh.2023.03.016] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/28/2022] [Revised: 03/05/2023] [Accepted: 03/16/2023] [Indexed: 04/25/2023]
Abstract
BACKGROUND & AIMS Early detection of pancreatic cancer (PaC) can drastically improve survival rates. Approximately 25% of subjects with PaC have type 2 diabetes diagnosed within 3 years prior to the PaC diagnosis, suggesting that subjects with type 2 diabetes are at high risk of occult PaC. We have developed an early-detection PaC test, based on changes in 5-hydroxymethylcytosine (5hmC) signals in cell-free DNA from plasma. METHODS Blood was collected from 132 subjects with PaC and 528 noncancer subjects to generate epigenomic and genomic feature sets yielding a predictive PaC signal algorithm. The algorithm was validated in a blinded cohort composed of 102 subjects with PaC, 2048 noncancer subjects, and 1524 subjects with non-PaCs. RESULTS 5hmC differential profiling and additional genomic features enabled the development of a machine learning algorithm capable of distinguishing subjects with PaC from noncancer subjects with high specificity and sensitivity. The algorithm was validated with a sensitivity for early-stage (stage I/II) PaC of 68.3% (95% confidence interval [CI], 51.9%-81.9%) and an overall specificity of 96.9% (95% CI, 96.1%-97.7%). CONCLUSIONS The PaC detection test showed robust early-stage detection of PaC signal in the studied cohorts with varying type 2 diabetes status. This assay merits further clinical validation for the early detection of PaC in high-risk individuals.
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Affiliation(s)
| | | | | | | | | | | | | | | | - Bill Gibb
- ClearNote Health, San Mateo, California
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Zhang Z, Pi X, Gao C, Zhang J, Xia L, Yan X, Hu X, Yan Z, Zhang S, Wei A, Guo Y, Liu J, Li A, Liu X, Zhang W, Liu Y, Xie D. Integrated fragmentomic profile and 5-Hydroxymethylcytosine of capture-based low-pass sequencing data enables pan-cancer detection via cfDNA. Transl Oncol 2023; 34:101694. [PMID: 37209526 DOI: 10.1016/j.tranon.2023.101694] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2023] [Revised: 04/09/2023] [Accepted: 05/14/2023] [Indexed: 05/22/2023] Open
Abstract
BACKGROUND Using epigenetic markers and fragmentomics of cell-free DNA for cancer detection has been proven applicable. METHODS We further investigated the diagnostic potential of combining two features (epigenetic markers and fragmentomic information) of cell-free DNA for detecting various types of cancers. To do this, we extracted cfDNA fragmentomic features from 191 whole-genome sequencing data and studied them in 396 low-pass 5hmC sequencing data, which included four common cancer types and control samples. RESULTS In our analysis of 5hmC sequencing data from cancer samples, we observed aberrant ultra-long fragments (220-500 bp) that differed from normal samples in terms of both size and coverage profile. These fragments played a significant role in predicting cancer. Leveraging the ability to detect cfDNA hydroxymethylation and fragmentomic markers simultaneously in low-pass 5hmC sequencing data, we developed an integrated model that incorporated 63 features representing both fragmentomic features and hydroxymethylation signatures. This model achieved high sensitivity and specificity for pan-cancer detection (88.52% and 82.35%, respectively). CONCLUSION We showed that fragmentomic information in 5hmC sequencing data is an ideal marker for cancer detection and that it shows high performance in low-pass sequencing data.
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Affiliation(s)
- Zhidong Zhang
- Laboratory of Omics Technology and Bioinformatics, Frontiers Science Center for Disease-related Molecular Network, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, No. 37 Guoxue Alley, Chengdu 610041, Sichuan Province, P. R. China
| | - Xuenan Pi
- Laboratory of Omics Technology and Bioinformatics, Frontiers Science Center for Disease-related Molecular Network, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, No. 37 Guoxue Alley, Chengdu 610041, Sichuan Province, P. R. China
| | - Chang Gao
- Laboratory of Omics Technology and Bioinformatics, Frontiers Science Center for Disease-related Molecular Network, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, No. 37 Guoxue Alley, Chengdu 610041, Sichuan Province, P. R. China
| | - Jun Zhang
- Tailai Inc., Shanghai 200233, P. R. China
| | - Lin Xia
- Laboratory of Omics Technology and Bioinformatics, Frontiers Science Center for Disease-related Molecular Network, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, No. 37 Guoxue Alley, Chengdu 610041, Sichuan Province, P. R. China
| | | | - Xinlei Hu
- Laboratory of Omics Technology and Bioinformatics, Frontiers Science Center for Disease-related Molecular Network, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, No. 37 Guoxue Alley, Chengdu 610041, Sichuan Province, P. R. China
| | - Ziyue Yan
- Tailai Inc., Shanghai 200233, P. R. China
| | - Shuxin Zhang
- Department of Neurosurgery, West China Hospital, Sichuan University, No. 37 Guoxue Alley, Chengdu 610041, Sichuan Province, P. R. China
| | - Ailin Wei
- Guang'an People's Hospital, Guang'an, China
| | - Yuer Guo
- Laboratory of Omics Technology and Bioinformatics, Frontiers Science Center for Disease-related Molecular Network, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, No. 37 Guoxue Alley, Chengdu 610041, Sichuan Province, P. R. China
| | - Jingfeng Liu
- Mengchao Hepatobiliary Hospital of Fujian Medical University, Xihong Road 312, Fuzhou 350025, Fujian Province, P. R. China
| | - Ang Li
- Department of Pancreatic Surgery, West China Hospital, Sichuan University, No. 37 Guoxue Alley, Chengdu 610041, Sichuan Province, P. R. China
| | - Xiaolong Liu
- Mengchao Hepatobiliary Hospital of Fujian Medical University, Xihong Road 312, Fuzhou 350025, Fujian Province, P. R. China
| | - Wei Zhang
- Department of Respiratory and Critical Care Medicine, First Affiliated Hospital of the Second Military Medical University, Shanghai 200433, P. R. China
| | - Yanhui Liu
- Department of Neurosurgery, West China Hospital, Sichuan University, No. 37 Guoxue Alley, Chengdu 610041, Sichuan Province, P. R. 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, No. 37 Guoxue Alley, Chengdu 610041, Sichuan Province, P. R. China.
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Liu M, Zhang Z, Zhang W, Liu SM. Advances in biomarker discovery using circulating cell-free DNA for early detection of hepatocellular carcinoma. WIREs Mech Dis 2023; 15:e1598. [PMID: 36697374 PMCID: PMC10176863 DOI: 10.1002/wsbm.1598] [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: 08/18/2022] [Revised: 10/21/2022] [Accepted: 01/12/2023] [Indexed: 01/27/2023]
Abstract
The past several decades have witnessed unprecedented progress in basic and clinical cancer research, and our understanding of the molecular mechanisms and pathogenesis of cancers have been greatly improved. More recently, with the availability of high-throughput sequencing and profiling platforms as well as sophisticated analytical tools and high-performance computing capacity, there have been tremendous advances in the development of diagnostic approaches in clinical oncology, especially the discovery of novel biomarkers for cancer early detection. Although tissue biopsy-based pathology has been the "gold standard" for cancer diagnosis, notable limitations such as the risk due to invasiveness and the bias due to intra-tumoral heterogeneity have limited its broader applications in oncology (e.g., screening, regular disease monitoring). Liquid biopsy analysis that exploits the genetic and epigenetic information contained in DNA/RNA materials from body fluids, particularly circulating cell-free DNA (cfDNA) in the blood, has been an intriguing alternative approach because of advantageous features such as sampling convenience and minimal invasiveness. Taking advantage of innovative enabling technologies, cfDNA has been demonstrated for its clinical potential in cancer early detection, including hepatocellular carcinoma (HCC), the most common liver cancer that causes serious healthcare burden globally. Hereby, we reviewed the current advances in cfDNA-based approaches for cancer biomarker discovery, with a focus on recent findings of cfDNA-based early detection of HCC. Future clinical investigations and trials are warranted to further validate these approaches for early detection of HCC, which will contribute to more effective prevention, control, and intervention strategies with the ultimate goal of reducing HCC-associated mortality. This article is categorized under: Cancer > Genetics/Genomics/Epigenetics.
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Affiliation(s)
- Mingjun Liu
- Department of Clinical Laboratory, Center for Gene Diagnosis & Program of Clinical Laboratory, Zhongnan Hospital of Wuhan University, Wuhan, Hubei Province, China
- Department of Clinical Laboratory, Wuhan Third Hospital and Tongren Hospital of Wuhan University, Wuhan, Hubei Province, China
| | - Zhou Zhang
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Wei Zhang
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
- Institute of Precision Medicine, Jining Medical University, Jining, Shandong Province, China
| | - Song-Mei Liu
- Department of Clinical Laboratory, Center for Gene Diagnosis & Program of Clinical Laboratory, Zhongnan Hospital of Wuhan University, Wuhan, Hubei Province, China
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Talotta D, Almasri M, Cosentino C, Gaidano G, Moia R. Liquid biopsy in hematological malignancies: current and future applications. Front Oncol 2023; 13:1164517. [PMID: 37152045 PMCID: PMC10157039 DOI: 10.3389/fonc.2023.1164517] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2023] [Accepted: 04/03/2023] [Indexed: 05/09/2023] Open
Abstract
The assessment of the cancer mutational profile is crucial for patient management, stratification, and therapeutic decisions. At present, in hematological malignancies with a solid mass, such as lymphomas, tumor genomic profiling is generally performed on the tissue biopsy, but the tumor may harbor genetic lesions that are unique to other anatomical compartments. The analysis of circulating tumor DNA (ctDNA) on the liquid biopsy is an emerging approach that allows genotyping and monitoring of the disease during therapy and follow-up. This review presents the different methods for ctDNA analysis and describes the application of liquid biopsy in different hematological malignancies. In diffuse large B-cell lymphoma (DLBCL) and Hodgkin lymphoma (HL), ctDNA analysis on the liquid biopsy recapitulates the mutational profile of the tissue biopsy and can identify mutations otherwise absent on the tissue biopsy. In addition, changes in the ctDNA amount after one or two courses of chemotherapy significantly predict patient outcomes. ctDNA analysis has also been tested in myeloid neoplasms with promising results. In addition to mutational analysis, liquid biopsy also carries potential future applications of ctDNA, including the analysis of ctDNA fragmentation and epigenetic patterns. On these grounds, several clinical trials aiming at incorporating ctDNA analysis for treatment tailoring are currently ongoing in hematological malignancies.
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Affiliation(s)
| | | | | | | | - Riccardo Moia
- Division of Hematology, Department of Translational Medicine, Università del Piemonte Orientale, Novara, Italy
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Zhang S, Zhang J, Hu X, Yin S, Yuan Y, Xia L, Cao F, Yan X, Yan Z, Mao Q, Xie D, Liu Y. Noninvasive detection of brain gliomas using plasma cell-free DNA 5-hydroxymethylcytosine sequencing. Int J Cancer 2023; 152:1707-1718. [PMID: 36522844 DOI: 10.1002/ijc.34401] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2022] [Revised: 10/16/2022] [Accepted: 11/14/2022] [Indexed: 12/23/2022]
Abstract
Liquid biopsy techniques based on deep sequencing of plasma cell-free DNA (cfDNA) could detect the low-frequency somatic mutations and provide an accurate diagnosis for many cancers. However, for brain gliomas, reliable performance of these techniques currently requires obtaining cfDNA from patients' cerebral spinal fluid, which is cumbersome and risky. Here we report a liquid biopsy method based on sequencing of plasma cfDNA fragments carrying 5-hydroxymethylcytosine (5hmC) using selective chemical labeling (hMe-Seal). We first constructed a dataset including 180 glioma patients and 229 non-glioma controls. We found marked concordance between cfDNA hydroxymethylome and the aberrant transcriptome of the underlying gliomas. Functional analysis also revealed overrepresentation of the differentially hydroxymethylated genes (DhmGs) in oncogenic and neural pathways. After splitting our dataset into training and test cohort, we showed that a penalized logistic model constructed with training set DhmGs could distinguish glioma patients from healthy controls in both our test set (AUC = 0.962) and an independent dataset (AUC = 0.930) consisting of 111 gliomas and 111 controls. Additionally, the DhmGs between gliomas with mutant and wild-type isocitrate dehydrogenase (IDH) could be used to train a cfDNA predictor of the IDH mutation status of the underlying tumor (AUC = 0.816), and patients with predicted IDH mutant gliomas had significantly better outcome (P = .01). These results indicate that our plasma cfDNA 5hmC sequencing method could obtain glioma-specific signals, which may be used to noninvasively detect these patients and predict the aggressiveness of their tumors.
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Affiliation(s)
- Shuxin Zhang
- Department of Neurosurgery, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China
- Department of Head and Neck Surgery, Sichuan Cancer Hospital and Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Jun Zhang
- Frontier Science Centre for Disease Molecular Network, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China
| | - Xinlei Hu
- Frontier Science Centre for Disease Molecular Network, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China
| | - Senlin Yin
- Department of Neurosurgery, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China
| | - Yunbo Yuan
- Department of Neurosurgery, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China
| | - Lin Xia
- Frontier Science Centre for Disease Molecular Network, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China
| | - Feng Cao
- Frontier Science Centre for Disease Molecular Network, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China
| | - Xiaoqin Yan
- Frontier Science Centre for Disease Molecular Network, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China
| | - Ziyue Yan
- Frontier Science Centre for Disease Molecular Network, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China
| | - Qing Mao
- Department of Neurosurgery, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China
| | - Dan Xie
- Frontier Science Centre for Disease Molecular Network, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China
| | - Yanhui Liu
- Department of Neurosurgery, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China
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Di Sario G, Rossella V, Famulari ES, Maurizio A, Lazarevic D, Giannese F, Felici C. Enhancing clinical potential of liquid biopsy through a multi-omic approach: A systematic review. Front Genet 2023; 14:1152470. [PMID: 37077538 PMCID: PMC10109350 DOI: 10.3389/fgene.2023.1152470] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2023] [Accepted: 03/20/2023] [Indexed: 04/05/2023] Open
Abstract
In the last years, liquid biopsy gained increasing clinical relevance for detecting and monitoring several cancer types, being minimally invasive, highly informative and replicable over time. This revolutionary approach can be complementary and may, in the future, replace tissue biopsy, which is still considered the gold standard for cancer diagnosis. “Classical” tissue biopsy is invasive, often cannot provide sufficient bioptic material for advanced screening, and can provide isolated information about disease evolution and heterogeneity. Recent literature highlighted how liquid biopsy is informative of proteomic, genomic, epigenetic, and metabolic alterations. These biomarkers can be detected and investigated using single-omic and, recently, in combination through multi-omic approaches. This review will provide an overview of the most suitable techniques to thoroughly characterize tumor biomarkers and their potential clinical applications, highlighting the importance of an integrated multi-omic, multi-analyte approach. Personalized medical investigations will soon allow patients to receive predictable prognostic evaluations, early disease diagnosis, and subsequent ad hoc treatments.
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Lee J, Lee D, Kim HP, Kim TY, Bang D. EBS-seq: enrichment-based method for accurate analysis of 5-hydroxymethylcytosine at single-base resolution. Clin Epigenetics 2023; 15:34. [PMID: 36859282 PMCID: PMC9979530 DOI: 10.1186/s13148-023-01451-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2022] [Accepted: 02/18/2023] [Indexed: 03/03/2023] Open
Abstract
BACKGROUND A growing body of research has emphasized 5-hydroxymethylcytosine (5hmC) as an important epigenetic mark. High-resolution methods to detect 5hmC require high sequencing depth and are therefore expensive. Many studies have used enrichment-based methods to detect 5hmC; however, conventional enrichment-based methods have limited resolution. To overcome these limitations, we developed EBS-seq, a cost-efficient method for 5hmC detection with single-base resolution that combines the advantages of high-resolution methods and enrichment-based methods. RESULTS EBS-seq uses selective labeling of 5hmC, deamination of cytosine and 5-methylcytosine, pull-down of labeled 5hmC, and C-to-T conversion during DNA amplification. Using this method, we profiled 5hmC in HEK293T cells and two colorectal cancer samples. Compared with conventional enrichment-based 5hmC detection, EBS-seq improved 5hmC signals by localizing them at single-base resolution. Furthermore, EBS-seq was able to determine 5hmC levels in CpG-dense regions where distortion of signals can occur, such as CpG islands and CpG shores. Comparing EBS-seq and conventional high-resolution 5hmC detection by ACE-seq, we showed that EBS-seq is more effective at finding 5hmC sites. Using EBS-seq, we found strong associations between gene expression and gene-body 5hmC content in both HEK293T cells and colorectal cancer samples. CONCLUSIONS EBS-seq is a reliable and cost-efficient method for 5hmC detection because it simultaneously enriches 5hmC-containing DNA fragments and localizes 5hmC signals at single-base resolution. This method is a promising choice for 5hmC detection in challenging clinical samples with low 5hmC levels, such as cancer tissues.
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Affiliation(s)
- Jaywon Lee
- Department of Chemistry, Yonsei University, Seoul, Korea
| | - Dongin Lee
- Department of Chemistry, Yonsei University, Seoul, Korea
| | | | - Tae-You Kim
- IMBdx, Seoul, Korea
- Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea
| | - Duhee Bang
- Department of Chemistry, Yonsei University, Seoul, Korea.
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Costa PMDS, Sales SLA, Pinheiro DP, Pontes LQ, Maranhão SS, Pessoa CDÓ, Furtado GP, Furtado CLM. Epigenetic reprogramming in cancer: From diagnosis to treatment. Front Cell Dev Biol 2023; 11:1116805. [PMID: 36866275 PMCID: PMC9974167 DOI: 10.3389/fcell.2023.1116805] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Accepted: 02/01/2023] [Indexed: 02/16/2023] Open
Abstract
Disruption of the epigenetic program of gene expression is a hallmark of cancer that initiates and propagates tumorigenesis. Altered DNA methylation, histone modifications and ncRNAs expression are a feature of cancer cells. The dynamic epigenetic changes during oncogenic transformation are related to tumor heterogeneity, unlimited self-renewal and multi-lineage differentiation. This stem cell-like state or the aberrant reprogramming of cancer stem cells is the major challenge in treatment and drug resistance. Given the reversible nature of epigenetic modifications, the ability to restore the cancer epigenome through the inhibition of the epigenetic modifiers is a promising therapy for cancer treatment, either as a monotherapy or in combination with other anticancer therapies, including immunotherapies. Herein, we highlighted the main epigenetic alterations, their potential as a biomarker for early diagnosis and the epigenetic therapies approved for cancer treatment.
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Affiliation(s)
- Pedro Mikael da Silva Costa
- Department of Physiology and Pharmacology, Drug Research and Development Center, Federal University of Ceará, Fortaleza, Ceará, Brazil,Postgraduation Program in Biotechnology Northeastern Network of Biotechnology, Federal University of Ceará, Fortaleza, Ceará, Brazil
| | - Sarah Leyenne Alves Sales
- Department of Physiology and Pharmacology, Drug Research and Development Center, Federal University of Ceará, Fortaleza, Ceará, Brazil,Postgraduation Program in Pharmacology, Federal University of Ceará, Fortaleza, Ceará, Brazil
| | | | - Larissa Queiroz Pontes
- Oswaldo Cruz Foundation, FIOCRUZ-Ceará, Sector of Biotechnology, Eusebio, Ceará, Brazil,Postgraduation Program in Biotechnology and Natural Resources, Federal University of Ceará, Fortaleza, Ceará, Brazil
| | - Sarah Sant’Anna Maranhão
- Department of Physiology and Pharmacology, Drug Research and Development Center, Federal University of Ceará, Fortaleza, Ceará, Brazil
| | - Claudia do Ó. Pessoa
- Department of Physiology and Pharmacology, Drug Research and Development Center, Federal University of Ceará, Fortaleza, Ceará, Brazil,Postgraduation Program in Biotechnology Northeastern Network of Biotechnology, Federal University of Ceará, Fortaleza, Ceará, Brazil,Postgraduation Program in Pharmacology, Federal University of Ceará, Fortaleza, Ceará, Brazil
| | - Gilvan Pessoa Furtado
- Oswaldo Cruz Foundation, FIOCRUZ-Ceará, Sector of Biotechnology, Eusebio, Ceará, Brazil,Postgraduation Program in Biotechnology and Natural Resources, Federal University of Ceará, Fortaleza, Ceará, Brazil
| | - Cristiana Libardi Miranda Furtado
- Drug Research and Development Center, Postgraduate Program in Translational Medicine, Federal University of Ceará, Fortaleza, Ceará, Brazil,Experimental Biology Center, University of Fortaleza, Fortaleza, Ceará, Brazil,*Correspondence: Cristiana Libardi Miranda Furtado,
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43
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Hydroxymethylation and Epigenetic Drugs: New Insights into the Diagnosis and Treatment in Epigenetics of Hepatocellular Carcinoma. JOURNAL OF ONCOLOGY 2023; 2023:5449443. [PMID: 36816356 PMCID: PMC9934982 DOI: 10.1155/2023/5449443] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/12/2022] [Revised: 09/19/2022] [Accepted: 10/15/2022] [Indexed: 02/11/2023]
Abstract
Hepatocellular carcinoma (HCC) is a highly lethal and heterogeneous malignancy with multiple genetic alternations and complex signaling pathways. The complexity and multifactorial nature of HCC pose a tremendous challenge regarding its diagnosis and treatment. Emerging evidence has indicated an important regulatory role of epigenetic modifications in HCC initiation and progression. Epigenetic modifications are stably heritable gene expression traits caused by changing the accessibility of chromatin structure and genetic activity without alteration in the DNA sequence and have been gradually recognized as a hallmark of cancer. In addition, accumulating data suggest a potential value of altered hydroxymethylation in epigenetic modifications and therapeutics targeting the epigenetically mediated regulation. As such, probing the epigenetic field in the era of precision oncology is a valid avenue for promoting the accuracy of early diagnosis and improving the oncological prognosis of HCC patients. This review focuses on the diagnostic performance and clinical utility of 5-hydroxymethylated cytosine, the primary intermediate product of the demethylation process, for early HCC diagnosis and discusses the promising applications of epigenetic-based therapeutic regimens for HCC.
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44
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Multiplexed, single-molecule, epigenetic analysis of plasma-isolated nucleosomes for cancer diagnostics. Nat Biotechnol 2023; 41:212-221. [PMID: 36076083 DOI: 10.1038/s41587-022-01447-3] [Citation(s) in RCA: 23] [Impact Index Per Article: 23.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2021] [Accepted: 07/25/2022] [Indexed: 11/08/2022]
Abstract
The analysis of cell-free DNA (cfDNA) in plasma provides information on pathological processes in the body. Blood cfDNA is in the form of nucleosomes, which maintain their tissue- and cancer-specific epigenetic state. We developed a single-molecule multiparametric assay to comprehensively profile the epigenetics of plasma-isolated nucleosomes (EPINUC), DNA methylation and cancer-specific protein biomarkers. Our system allows for high-resolution detection of six active and repressive histone modifications and their ratios and combinatorial patterns on millions of individual nucleosomes by single-molecule imaging. In addition, our system provides sensitive and quantitative data on plasma proteins, including detection of non-secreted tumor-specific proteins, such as mutant p53. EPINUC analysis of a cohort of 63 colorectal cancer, 10 pancreatic cancer and 33 healthy plasma samples detected cancer with high accuracy and sensitivity, even at early stages. Finally, combining EPINUC with direct single-molecule DNA sequencing revealed the tissue of origin of colorectal, pancreatic, lung and breast tumors. EPINUC provides multilayered information of potential clinical relevance from limited (<1 ml) liquid biopsy material.
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45
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Circulating Tumor DNA Methylation Biomarkers for Characterization and Determination of the Cancer Origin in Malignant Liver Tumors. Cancers (Basel) 2023; 15:cancers15030859. [PMID: 36765815 PMCID: PMC9913861 DOI: 10.3390/cancers15030859] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2022] [Revised: 01/25/2023] [Accepted: 01/26/2023] [Indexed: 02/01/2023] Open
Abstract
Malignant liver tumors include primary malignant liver tumors and liver metastases. They are among the most common malignancies worldwide. The disease has a poor prognosis and poor overall survival, especially with liver metastases. Therefore, early detection and differentiation between malignant liver tumors are critical for patient treatment selection. The detection of cancer and the prediction of its origin is possible with a DNA methylation profile of the tumor DNA compared to that of normal cells, which reflects tissue differentiation and malignant transformation. New technologies enable the characterization of the tumor methylome in circulating tumor DNA (ctDNA), providing a variety of new ctDNA methylation biomarkers, which can provide additional information to clinical decision-making. Our review of the literature provides insight into methylation changes in ctDNA from patients with common malignant liver tumors and can serve as a starting point for further research.
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46
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An Y, Zhao X, Zhang Z, Xia Z, Yang M, Ma L, Zhao Y, Xu G, Du S, Wu X, Zhang S, Hong X, Jin X, Sun K. DNA methylation analysis explores the molecular basis of plasma cell-free DNA fragmentation. Nat Commun 2023; 14:287. [PMID: 36653380 PMCID: PMC9849216 DOI: 10.1038/s41467-023-35959-6] [Citation(s) in RCA: 17] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2022] [Accepted: 01/10/2023] [Indexed: 01/19/2023] Open
Abstract
Plasma cell-free DNA (cfDNA) are small molecules generated through a non-random fragmentation procedure. Despite commendable translational values in cancer liquid biopsy, however, the biology of cfDNA, especially the principles of cfDNA fragmentation, remains largely elusive. Through orientation-aware analyses of cfDNA fragmentation patterns against the nucleosome structure and integration with multidimensional functional genomics data, here we report a DNA methylation - nuclease preference - cutting end - size distribution axis, demonstrating the role of DNA methylation as a functional molecular regulator of cfDNA fragmentation. Hence, low-level DNA methylation could increase nucleosome accessibility and alter the cutting activities of nucleases during DNA fragmentation, which further leads to variation in cutting sites and size distribution of cfDNA. We further develop a cfDNA ending preference-based metric for cancer diagnosis, whose performance has been validated by multiple pan-cancer datasets. Our work sheds light on the molecular basis of cfDNA fragmentation towards broader applications in cancer liquid biopsy.
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Affiliation(s)
- Yunyun An
- Institute of Cancer Research, Shenzhen Bay Laboratory, 518132, Shenzhen, China
| | - Xin Zhao
- Hepato-Biliary Surgery Division, Shenzhen Third People's Hospital, The Second Affiliated Hospital, Southern University of Science and Technology, 518100, Shenzhen, China
| | - Ziteng Zhang
- Hepato-Biliary Surgery Division, Shenzhen Third People's Hospital, The Second Affiliated Hospital, Southern University of Science and Technology, 518100, Shenzhen, China
| | - Zhaohua Xia
- Thoracic Surgical Department, Shenzhen Third People's Hospital, The Second Affiliated Hospital, Southern University of Science and Technology, 518100, Shenzhen, China
| | - Mengqi Yang
- Institute of Cancer Research, Shenzhen Bay Laboratory, 518132, Shenzhen, China
| | - Li Ma
- Institute of Cancer Research, Shenzhen Bay Laboratory, 518132, Shenzhen, China
| | - Yu Zhao
- Molecular Cancer Research Center, School of Medicine, Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, 518107, Shenzhen, China
| | - Gang Xu
- Department of Liver Surgery and Liver Transplant Center, West China Hospital of Sichuan University, 610041, Chengdu, China
| | - Shunda Du
- Department of Liver Surgery, Peking Union Medical College Hospital, PUMC and Chinese Academy of Medical Sciences, 100730, Beijing, Dongcheng, China
| | - Xiang'an Wu
- Department of Liver Surgery, Peking Union Medical College Hospital, PUMC and Chinese Academy of Medical Sciences, 100730, Beijing, Dongcheng, China
| | - Shuowen Zhang
- Department of Liver Surgery, Peking Union Medical College Hospital, PUMC and Chinese Academy of Medical Sciences, 100730, Beijing, Dongcheng, China
| | - Xin Hong
- Department of Biochemistry, School of Medicine, Southern University of Science and Technology, 518055, Shenzhen, China
| | - Xin Jin
- BGI-Shenzhen, 518083, Shenzhen, China. .,School of Medicine, South China University of Technology, 510006, Guangzhou, Guangdong, China.
| | - Kun Sun
- Institute of Cancer Research, Shenzhen Bay Laboratory, 518132, Shenzhen, China.
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Pandey S, Gupta VK, Lavania SP. Role of epigenetics in pancreatic ductal adenocarcinoma. Epigenomics 2023; 15:89-110. [PMID: 36647796 DOI: 10.2217/epi-2022-0177] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023] Open
Abstract
Pancreatic ductal adenocarcinoma (PDAC) is one of the most aggressive cancers, associated with poor survival outcomes. Lack of early diagnosis, resistance to conventional therapeutic treatments (including immunotherapy) and recurrence are some of the major hurdles in PDAC and contribute to its poor survival rate. While the risk of genetic predisposition to cancers is widely acknowledged and understood, recent advances in whole-genome and next-generation sequencing techniques have led to the acknowledgment of the role played by epigenetics, especially in PDAC. Epigenetic changes are heritable genetic modifications that influence gene expression without altering the DNA sequence. Epigenetic mechanisms (e.g., DNA methylation, post-translational modification of histone complexes and ncRNA) that result in reversible changes in gene expression are increasingly understood to be responsible for tumor initiation, development and even escape from immune surveillance. Our review seeks to highlight the various components of the epigenetic machinery that are known to be implicated in PDAC initiation and development and the feasibility of targeting these components to identify novel pharmacological strategies that could potentially lead to breakthroughs in PDAC treatment.
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Affiliation(s)
- Somnath Pandey
- Department of Surgery, University of Miami, Miller School of Medicine, Miami, FL 33136, USA
| | - Vineet K Gupta
- Department of Surgery, University of Miami, Miller School of Medicine, Miami, FL 33136, USA
| | - Shweta P Lavania
- Department of Surgery, University of Miami, Miller School of Medicine, Miami, FL 33136, USA
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48
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Tomeva E, Krammer UDB, Switzeny OJ, Haslberger AG, Hippe B. Sex-Specific miRNA Differences in Liquid Biopsies from Subjects with Solid Tumors and Healthy Controls. EPIGENOMES 2023; 7:epigenomes7010002. [PMID: 36648863 PMCID: PMC9844450 DOI: 10.3390/epigenomes7010002] [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: 11/23/2022] [Revised: 12/22/2022] [Accepted: 01/07/2023] [Indexed: 01/12/2023] Open
Abstract
Dysregulation of epigenetic mechanisms has been recognized to play a crucial role in cancer development, but these mechanisms vary between sexes. Therefore, we focused on sex-specific differences in the context of cancer-based data from a recent study. A total of 12 cell-free DNA methylation targets in CpG-rich promoter regions and 48 miRNAs were analyzed by qPCR in plasma samples from 8 female and 7 male healthy controls as well as 48 female and 80 male subjects with solid tumors of the bladder, brain, colorectal region (CRC), lung, stomach, pancreas, and liver. Due to the small sample size in some groups and/or the non-balanced distribution of men and women, sex-specific differences were evaluated statistically only in healthy subjects, CRC, stomach or pancreas cancer patients, and all cancer subjects combined (n female/male-8/7, 14/14, 8/15, 6/6, 48/80, respectively). Several miRNAs with opposing expressions between the sexes were observed for healthy subjects (miR-17-5p, miR-26b-5p); CRC patients (miR-186-5p, miR-22-3p, miR-22-5p, miR-25-3p, miR-92a-3p, miR-16-5p); stomach cancer patients (miR-133a-3p, miR-22-5p); and all cancer patients combined (miR-126-3p, miR-21-5p, miR-92a-3p, miR-183-5p). Moreover, sex-specific correlations that were dependent on cancer stage were observed in women (miR-27a-3p) and men (miR-17-5p, miR-20a-5p). Our results indicate the complex and distinct role of epigenetic regulation, particularly miRNAs, depending not only on the health status but also on the sex of the patient. The same miRNAs could have diverse effects in different tissues and opposing effects between the biological sexes, which should be considered in biomarker research.
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Affiliation(s)
| | - Ulrike D. B. Krammer
- HealthBioCare GmbH, A-1090 Vienna, Austria
- Department of Nutritional Science, University of Vienna, A-1090 Vienna, Austria
| | | | | | - Berit Hippe
- HealthBioCare GmbH, A-1090 Vienna, Austria
- Department of Nutritional Science, University of Vienna, A-1090 Vienna, Austria
- Correspondence:
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49
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Janke F, Angeles AK, Riediger AL, Bauer S, Reck M, Stenzinger A, Schneider MA, Muley T, Thomas M, Christopoulos P, Sültmann H. Longitudinal monitoring of cell-free DNA methylation in ALK-positive non-small cell lung cancer patients. Clin Epigenetics 2022; 14:163. [PMID: 36461127 PMCID: PMC9719130 DOI: 10.1186/s13148-022-01387-4] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2022] [Accepted: 11/25/2022] [Indexed: 12/03/2022] Open
Abstract
BACKGROUND DNA methylation (5-mC) signals in cell-free DNA (cfDNA) of cancer patients represent promising biomarkers for minimally invasive tumor detection. The high abundance of cancer-associated 5-mC alterations permits parallel and highly sensitive assessment of multiple 5-mC biomarkers. Here, we performed genome-wide 5-mC profiling in the plasma of metastatic ALK-rearranged non-small cell lung cancer (NSCLC) patients receiving tyrosine kinase inhibitor therapy. We established a strategy to identify ALK-specific 5-mC changes from cfDNA and demonstrated the suitability of the identified markers for cancer detection, prognosis, and therapy monitoring. METHODS Longitudinal plasma samples (n = 79) of 21 ALK-positive NSCLC patients and 13 healthy donors were collected alongside 15 ALK-positive tumor tissue and 10 healthy lung tissue specimens. All plasma and tissue samples were analyzed by cell-free DNA methylation immunoprecipitation sequencing to generate genome-wide 5-mC profiles. Information on genomic alterations (i.e., somatic mutations/fusions and copy number alterations) determined in matched plasma samples was available from previous studies. RESULTS We devised a strategy that identified tumor-specific 5-mC biomarkers by reducing 5-mC background signals derived from hematopoietic cells. This was followed by differential methylation analysis (cases vs. controls) and biomarker validation using 5-mC profiles of ALK-positive tumor tissues. The resulting 245 differentially methylated regions were enriched for lung adenocarcinoma-specific 5-mC patterns in TCGA data and indicated transcriptional repression of several genes described to be silenced in NSCLC (e.g., PCDH10, TBX2, CDO1, and HOXA9). Additionally, 5-mC-based tumor DNA (5-mC score) was highly correlated with other genomic alterations in cell-free DNA (Spearman, ρ > 0.6), while samples with high 5-mC scores showed significantly shorter overall survival (log-rank p = 0.025). Longitudinal 5-mC scores reflected radiologic disease assessments and were significantly elevated at disease progression compared to the therapy start (p = 0.0023). In 7 out of 8 instances, rising 5-mC scores preceded imaging-based evaluation of disease progression. CONCLUSION We demonstrated a strategy to identify 5-mC biomarkers from the plasma of cancer patients and integrated them into a quantitative measure of cancer-associated 5-mC alterations. Using longitudinal plasma samples of ALK-positive NSCLC patients, we highlighted the suitability of cfDNA methylation for prognosis and therapy monitoring.
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Affiliation(s)
- Florian Janke
- grid.5253.10000 0001 0328 4908Division of Cancer Genome Research, German Cancer Research Center, National Center for Tumor Diseases, Heidelberg, Germany ,grid.452624.3German Center for Lung Research (DZL), TLRC Heidelberg, Heidelberg, Germany
| | - Arlou Kristina Angeles
- grid.5253.10000 0001 0328 4908Division of Cancer Genome Research, German Cancer Research Center, National Center for Tumor Diseases, Heidelberg, Germany ,grid.452624.3German Center for Lung Research (DZL), TLRC Heidelberg, Heidelberg, Germany
| | - Anja Lisa Riediger
- grid.5253.10000 0001 0328 4908Division of Cancer Genome Research, German Cancer Research Center, National Center for Tumor Diseases, Heidelberg, Germany ,grid.7497.d0000 0004 0492 0584Helmholtz Young Investigator Group, Multiparametric Methods for Early Detection of Prostate Cancer, German Cancer Research Center (DKFZ), Heidelberg, Germany ,grid.5253.10000 0001 0328 4908Department of Urology, Heidelberg University Hospital, Heidelberg, Germany ,grid.7700.00000 0001 2190 4373Faculty of Biosciences, Heidelberg University, Heidelberg, Germany
| | - Simone Bauer
- grid.5253.10000 0001 0328 4908Division of Cancer Genome Research, German Cancer Research Center, National Center for Tumor Diseases, Heidelberg, Germany
| | - Martin Reck
- grid.452624.3Lung Clinic Grosshansdorf, Airway Research Center North, German Center for Lung Research, Grosshansdorf, Germany
| | - Albrecht Stenzinger
- grid.452624.3German Center for Lung Research (DZL), TLRC Heidelberg, Heidelberg, Germany ,grid.5253.10000 0001 0328 4908Institute of Pathology, Heidelberg University Hospital, Heidelberg, Germany ,grid.7497.d0000 0004 0492 0584German Cancer Consortium (DKTK), Heidelberg, Germany
| | - Marc A. Schneider
- grid.452624.3German Center for Lung Research (DZL), TLRC Heidelberg, Heidelberg, Germany ,grid.5253.10000 0001 0328 4908Translational Research Unit, Thoraxklinik at University Hospital Heidelberg, Heidelberg, Germany
| | - Thomas Muley
- grid.452624.3German Center for Lung Research (DZL), TLRC Heidelberg, Heidelberg, Germany ,grid.5253.10000 0001 0328 4908Translational Research Unit, Thoraxklinik at University Hospital Heidelberg, Heidelberg, Germany
| | - Michael Thomas
- grid.452624.3German Center for Lung Research (DZL), TLRC Heidelberg, Heidelberg, Germany ,grid.5253.10000 0001 0328 4908Department of Oncology, Thoraxklinik and National Center for Tumor Disease (NCT) at Heidelberg University Hospital, Heidelberg, Germany
| | - Petros Christopoulos
- grid.452624.3German Center for Lung Research (DZL), TLRC Heidelberg, Heidelberg, Germany ,grid.5253.10000 0001 0328 4908Department of Oncology, Thoraxklinik and National Center for Tumor Disease (NCT) at Heidelberg University Hospital, Heidelberg, Germany
| | - Holger Sültmann
- grid.5253.10000 0001 0328 4908Division of Cancer Genome Research, German Cancer Research Center, National Center for Tumor Diseases, Heidelberg, Germany ,grid.452624.3German Center for Lung Research (DZL), TLRC Heidelberg, Heidelberg, Germany ,grid.7497.d0000 0004 0492 0584German Cancer Consortium (DKTK), Heidelberg, Germany
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Epithelial to Mesenchymal Transition as Mechanism of Progression of Pancreatic Cancer: From Mice to Men. Cancers (Basel) 2022; 14:cancers14235797. [PMID: 36497278 PMCID: PMC9735867 DOI: 10.3390/cancers14235797] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2022] [Revised: 11/15/2022] [Accepted: 11/21/2022] [Indexed: 11/26/2022] Open
Abstract
Owed to its aggressive yet subtle nature, pancreatic cancer remains unnoticed till an advanced stage so that in most cases the diagnosis is made when the cancer has already spread to other organs with deadly efficiency. The progression from primary tumor to metastasis involves an intricate cascade of events comprising the pleiotropic process of epithelial to mesenchymal transition (EMT) facilitating cancer spread. The elucidation of this pivotal phenotypic change in cancer cell morphology, initially heretic, moved from basic studies dissecting the progression of pancreatic cancer in animal models to move towards human disease, although no clinical translation of the concept emerged yet. Despite this transition, a full-blown mesenchymal phenotype may not be accomplished; rather, the plasticity of the program and its dependency on heterotopic signals implies a series of fluctuating modifications of cancer cells encompassing mesenchymal and epithelial features. Despite the evidence supporting the activation of EMT and MET during cancer progression, our understanding of the relationship between tumor microenvironment and EMT is not yet mature for a clinical application. In this review, we attempt to resume the knowledge on EMT and pancreatic cancer, aiming to include the EMT among the hallmarks of cancer that could potentially modify our clinical thinking with the purpose of filling the gap between the results pursued in basic research by animal models and those achieved in translational research by surrogate biomarkers, as well as their application for prognostic and predictive purposes.
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