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Borkowski P, Singh N, Borkowska N. Advancements in Heart Transplantation: Donor-Derived Cell-Free DNA as Next-Generation Biomarker. Cureus 2024; 16:e54018. [PMID: 38476807 PMCID: PMC10930105 DOI: 10.7759/cureus.54018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/11/2024] [Indexed: 03/14/2024] Open
Abstract
Heart failure, particularly in its advanced stages, significantly impacts quality of life. Despite progress in Guideline-Directed Medical Therapy (GDMT) and invasive treatments, heart transplantation (HT) remains the primary option for severe cases. However, complications such as graft rejection present significant challenges that necessitate effective monitoring. Endomyocardial biopsy (EMB) is the gold standard for detecting rejection, but its invasive nature, associated risks, and healthcare costs have shifted interest in non-invasive techniques. Donor-derived cell-free DNA (dd-cfDNA) has gained attention as a promising non-invasive biomarker for monitoring graft rejection. Compared to EMB, dd-cfDNA detects graft rejection early and enables clinicians to adjust immunosuppression promptly. Despite its advantages, dd-cfDNA testing faces challenges, such as the need for specialized technology and potential inaccuracies due to other clinical conditions. Additionally, dd-cfDNA cannot yet differentiate between types of graft rejection, and its effectiveness in chronic rejection remains unclear. Research is ongoing to set precise standards for dd-cfDNA levels, which would enhance its diagnostic accuracy and help in clinical decisions. The article also points to the future of HT monitoring, which may involve combining dd-cfDNA with other biomarkers and integrating artificial intelligence to improve diagnostic capabilities and personalize patient care. Furthermore, it emphasizes both global and racial inequalities in dd-cfDNA testing and the ethical issues related to its use in transplant medicine.
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Affiliation(s)
- Pawel Borkowski
- Internal Medicine, Albert Einstein College of Medicine, Jacobi Medical Center, New York, USA
| | - Nikita Singh
- Internal Medicine, Albert Einstein College of Medicine, Jacobi Medical Center, New York, USA
| | - Natalia Borkowska
- Pediatrics, SPZOZ (Samodzielny Publiczny Zakład Opieki Zdrowotnej) Krotoszyn, Krotoszyn, POL
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Parry EM, Leshchiner I, Guièze R, Johnson C, Tausch E, Parikh SA, Lemvigh C, Broséus J, Hergalant S, Messer C, Utro F, Levovitz C, Rhrissorrakrai K, Li L, Rosebrock D, Yin S, Deng S, Slowik K, Jacobs R, Huang T, Li S, Fell G, Redd R, Lin Z, Knisbacher BA, Livitz D, Schneider C, Ruthen N, Elagina L, Taylor-Weiner A, Persaud B, Martinez A, Fernandes SM, Purroy N, Anandappa AJ, Ma J, Hess J, Rassenti LZ, Kipps TJ, Jain N, Wierda W, Cymbalista F, Feugier P, Kay NE, Livak KJ, Danysh BP, Stewart C, Neuberg D, Davids MS, Brown JR, Parida L, Stilgenbauer S, Getz G, Wu CJ. Evolutionary history of transformation from chronic lymphocytic leukemia to Richter syndrome. Nat Med 2023; 29:158-169. [PMID: 36624313 PMCID: PMC10155825 DOI: 10.1038/s41591-022-02113-6] [Citation(s) in RCA: 22] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2021] [Accepted: 10/28/2022] [Indexed: 01/11/2023]
Abstract
Richter syndrome (RS) arising from chronic lymphocytic leukemia (CLL) exemplifies an aggressive malignancy that develops from an indolent neoplasm. To decipher the genetics underlying this transformation, we computationally deconvoluted admixtures of CLL and RS cells from 52 patients with RS, evaluating paired CLL-RS whole-exome sequencing data. We discovered RS-specific somatic driver mutations (including IRF2BP2, SRSF1, B2M, DNMT3A and CCND3), recurrent copy-number alterations beyond del(9p21)(CDKN2A/B), whole-genome duplication and chromothripsis, which were confirmed in 45 independent RS cases and in an external set of RS whole genomes. Through unsupervised clustering, clonally related RS was largely distinct from diffuse large B cell lymphoma. We distinguished pathways that were dysregulated in RS versus CLL, and detected clonal evolution of transformation at single-cell resolution, identifying intermediate cell states. Our study defines distinct molecular subtypes of RS and highlights cell-free DNA analysis as a potential tool for early diagnosis and monitoring.
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Affiliation(s)
- Erin M Parry
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Ignaty Leshchiner
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Medicine, Boston University School of Medicine, Boston, MA, USA
| | - Romain Guièze
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- CHU de Clermont-Ferrand, Clermont-Ferrand, France
- Université Clermont Auvergne, EA7453 CHELTER, Clermont-Ferrand, France
| | | | - Eugen Tausch
- Division of CLL, Department of Internal Medicine III, Ulm University, Ulm, Germany
| | | | - Camilla Lemvigh
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Department of Health Technology, Technical University of Denmark, Kongens Lyngby, Denmark
| | - Julien Broséus
- Inserm UMRS1256 Nutrition-Génétique et Exposition aux Risques Environnementaux (N-GERE), Université de Lorraine, Nancy, France
- Université de Lorraine, CHRU-Nancy, service d'hématologie biologique, pôle laboratoires, Nancy, France
| | - Sébastien Hergalant
- Inserm UMRS1256 Nutrition-Génétique et Exposition aux Risques Environnementaux (N-GERE), Université de Lorraine, Nancy, France
| | - Conor Messer
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Filippo Utro
- IBM Research, Yorktown Heights, New York, NY, USA
| | | | | | - Liang Li
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | | | - Shanye Yin
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Stephanie Deng
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Kara Slowik
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Raquel Jacobs
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Teddy Huang
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Translational Immunogenomics Lab, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Shuqiang Li
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Translational Immunogenomics Lab, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Geoff Fell
- Department of Data Science, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Robert Redd
- Department of Data Science, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Ziao Lin
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | | | | | - Christof Schneider
- Division of CLL, Department of Internal Medicine III, Ulm University, Ulm, Germany
| | - Neil Ruthen
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Translational Immunogenomics Lab, Dana-Farber Cancer Institute, Boston, MA, USA
| | | | | | - Bria Persaud
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Aina Martinez
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Stacey M Fernandes
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Noelia Purroy
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Annabelle J Anandappa
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Jialin Ma
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Julian Hess
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Laura Z Rassenti
- Moores Cancer Center, Medicine, University of California, San Diego, La Jolla, CA, USA
| | - Thomas J Kipps
- Moores Cancer Center, Medicine, University of California, San Diego, La Jolla, CA, USA
| | - Nitin Jain
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - William Wierda
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Florence Cymbalista
- Laboratoire d'hématologie, Hôpital Avicenne-AP-HP, INSERM U978- Université Sorbonne Paris Nord, Bobigny, France
| | - Pierre Feugier
- Inserm UMRS1256 Nutrition-Génétique et Exposition aux Risques Environnementaux (N-GERE), Université de Lorraine, Nancy, France
- Université de Lorraine, CHRU Nancy, service d'hématologie clinique, Nancy, France
| | - Neil E Kay
- Division of Hematology, Mayo Clinic, Rochester, MN, USA
| | - Kenneth J Livak
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Translational Immunogenomics Lab, Dana-Farber Cancer Institute, Boston, MA, USA
| | | | - Chip Stewart
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Donna Neuberg
- Department of Data Science, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Matthew S Davids
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Jennifer R Brown
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Laxmi Parida
- IBM Research, Yorktown Heights, New York, NY, USA
| | - Stephan Stilgenbauer
- Division of CLL, Department of Internal Medicine III, Ulm University, Ulm, Germany
| | - Gad Getz
- Broad Institute of MIT and Harvard, Cambridge, MA, USA.
- Harvard Medical School, Boston, MA, USA.
- Cancer Center and Department of Pathology, Massachusetts General Hospital, Boston, MA, USA.
| | - Catherine J Wu
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.
- Broad Institute of MIT and Harvard, Cambridge, MA, USA.
- Harvard Medical School, Boston, MA, USA.
- Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA.
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Abstract
PURPOSE OF REVIEW Endomyocardial biopsy (EMB), the current gold standard for cardiac allograft monitoring is invasive, may have a low sensitivity and is associated with significant variability in histopathologic interpretation. Fortunately, on-going research is identifying noninvasive biomarkers that address some of these limitations. This review provides an update on noninvasive blood-based methods for rejection surveillance and diagnosis in heart transplantation. RECENT FINDINGS Recent studies highlight good test performance to detect acute rejection for donor-derived cell-free DNA (dd-cfDNA) and microRNAs (miR). dd-cfDNA is sensitive, nonspecific, and has a high negative predictive value for acute cellular and antibody-mediated rejection. Clinical utility trials are being planned to test its role as a rule-out test for acute rejection as compared to the EMB. miRs may have an added advantage as it may phenotype the subtypes of rejection alleviating the need for an EMB or permitting the initiation of targeted therapy while awaiting the results of the EMB. SUMMARY In this review, we discuss recent advances in the field of noninvasive biomarkers to detect allograft rejection after heart transplant. We provide a perspective of additional studies needed to prove their clinical utility and bring these biomarkers to widescale clinical use.
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Affiliation(s)
- Xiaoxiao Qian
- Cardiovascular Medicine, Inova Heart and Vascular Institute, Falls Church VA
| | - Palak Shah
- Heart Failure, MCS and Transplant, Inova Heart and Vascular Institute, Falls Church VA
- Genomic Research Alliance for Transplantation (GRAfT), Bethesda, MD
| | - Sean Agbor-Enoh
- Genomic Research Alliance for Transplantation (GRAfT), Bethesda, MD
- Laboratory of Applied Precision Omics, Division of Intramural Research, National Heart, Lung, and Blood Institute, Bethesda, MD
- Pulmonary and Critical Care Medicine, Johns Hopkins School of Medicine, Baltimore, MD
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Hsiehchen D, Espinoza M, Gerber DE, Beg MS. Clinical and biological determinants of circulating tumor DNA detection and prognostication using a next-generation sequencing panel assay. Cancer Biol Ther 2021; 22:455-464. [PMID: 34392779 PMCID: PMC8489910 DOI: 10.1080/15384047.2021.1963166] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2021] [Revised: 06/29/2021] [Accepted: 07/19/2021] [Indexed: 10/20/2022] Open
Abstract
Circulating tumor DNA (ctDNA) is utilized for molecular profiling of cancers, and is under investigation for a growing number of applications based on the assumption that ctDNA levels faithfully reflect disease burden. Our objective was to investigate whether patient and tumor characteristics may impact ctDNA detection or levels and the prognostic significance of ctDNA levels or mutations. We performed a retrospective cohort analysis of a comprehensively annotated cohort of 561 patients at a National Cancer Institute-designated comprehensive cancer center with advanced solid cancers who underwent ctDNA testing using a commercial targeted next-generation sequencing assay. ctDNA detection in advanced cancers was associated with older age, non-obese body mass index, and diabetes, but not with tumor diameter, volume, lesion number, or other pathological features. Regression models indicate that no more than 14.3% of the variance in ctDNA levels between patients was explained by known clinical factors and disease burden. Even after adjusting for established prognostic factors and tumor burden, ctDNA levels were associated with worse survival among patients without prior systemic therapy, while ctDNA mutations were associated with survival among patients who previously received systemic treatment. These findings uncover clinical factors that affect ctDNA detection in patients with advanced cancers and challenge the convention that ctDNA is a surrogate for tumor burden. Our study also indicates that the prognostic value of ctDNA levels and mutations are independent of tumor burden and dependent on treatment context.
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Affiliation(s)
- David Hsiehchen
- Division of Hematology and Oncology, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TXUSA
| | - Magdalena Espinoza
- Division of Digestive and Liver Diseases, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TXUSA
| | - David E. Gerber
- Division of Hematology and Oncology, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TXUSA
| | - Muhammad S. Beg
- Division of Hematology and Oncology, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TXUSA
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5
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Zviran A, Schulman RC, Shah M, Hill STK, Deochand S, Khamnei CC, Maloney D, Patel K, Liao W, Widman AJ, Wong P, Callahan MK, Ha G, Reed S, Rotem D, Frederick D, Sharova T, Miao B, Kim T, Gydush G, Rhoades J, Huang KY, Omans ND, Bolan PO, Lipsky AH, Ang C, Malbari M, Spinelli CF, Kazancioglu S, Runnels AM, Fennessey S, Stolte C, Gaiti F, Inghirami GG, Adalsteinsson V, Houck-Loomis B, Ishii J, Wolchok JD, Boland G, Robine N, Altorki NK, Landau DA. Genome-wide cell-free DNA mutational integration enables ultra-sensitive cancer monitoring. Nat Med 2020; 26:1114-1124. [PMID: 32483360 PMCID: PMC8108131 DOI: 10.1038/s41591-020-0915-3] [Citation(s) in RCA: 175] [Impact Index Per Article: 43.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2020] [Accepted: 04/29/2020] [Indexed: 12/21/2022]
Abstract
In many areas of oncology, we lack sensitive tools to track low-burden disease. Although cell-free DNA (cfDNA) shows promise in detecting cancer mutations, we found that the combination of low tumor fraction (TF) and limited number of DNA fragments restricts low-disease-burden monitoring through the prevailing deep targeted sequencing paradigm. We reasoned that breadth may supplant depth of sequencing to overcome the barrier of cfDNA abundance. Whole-genome sequencing (WGS) of cfDNA allowed ultra-sensitive detection, capitalizing on the cumulative signal of thousands of somatic mutations observed in solid malignancies, with TF detection sensitivity as low as 10-5. The WGS approach enabled dynamic tumor burden tracking and postoperative residual disease detection, associated with adverse outcome. Thus, we present an orthogonal framework for cfDNA cancer monitoring via genome-wide mutational integration, enabling ultra-sensitive detection, overcoming the limitation of cfDNA abundance and empowering treatment optimization in low-disease-burden oncology care.
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Affiliation(s)
- Asaf Zviran
- New York Genome Center, New York, NY, USA
- Meyer Cancer Center, Weill Cornell Medicine, New York, NY, USA
| | - Rafael C Schulman
- New York Genome Center, New York, NY, USA
- Meyer Cancer Center, Weill Cornell Medicine, New York, NY, USA
| | | | - Steven T K Hill
- New York Genome Center, New York, NY, USA
- Meyer Cancer Center, Weill Cornell Medicine, New York, NY, USA
| | - Sunil Deochand
- New York Genome Center, New York, NY, USA
- Meyer Cancer Center, Weill Cornell Medicine, New York, NY, USA
| | - Cole C Khamnei
- New York Genome Center, New York, NY, USA
- Meyer Cancer Center, Weill Cornell Medicine, New York, NY, USA
| | | | - Kristofer Patel
- New York Genome Center, New York, NY, USA
- Meyer Cancer Center, Weill Cornell Medicine, New York, NY, USA
| | - Will Liao
- New York Genome Center, New York, NY, USA
| | - Adam J Widman
- New York Genome Center, New York, NY, USA
- Meyer Cancer Center, Weill Cornell Medicine, New York, NY, USA
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Phillip Wong
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Margaret K Callahan
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Gavin Ha
- Division of Public Health Services, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Sarah Reed
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Denisse Rotem
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Dennie Frederick
- Division of Surgical Oncology, Massachussetts General Hospital, Boston, MA, USA
| | - Tatyana Sharova
- Division of Surgical Oncology, Massachussetts General Hospital, Boston, MA, USA
| | - Benchun Miao
- Division of Surgical Oncology, Massachussetts General Hospital, Boston, MA, USA
| | - Tommy Kim
- Division of Surgical Oncology, Massachussetts General Hospital, Boston, MA, USA
| | - Greg Gydush
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | | | - Kevin Y Huang
- New York Genome Center, New York, NY, USA
- Meyer Cancer Center, Weill Cornell Medicine, New York, NY, USA
| | - Nathaniel D Omans
- New York Genome Center, New York, NY, USA
- Meyer Cancer Center, Weill Cornell Medicine, New York, NY, USA
| | - Patrick O Bolan
- Meyer Cancer Center, Weill Cornell Medicine, New York, NY, USA
| | - Andrew H Lipsky
- Meyer Cancer Center, Weill Cornell Medicine, New York, NY, USA
| | - Chelston Ang
- New York Genome Center, New York, NY, USA
- Meyer Cancer Center, Weill Cornell Medicine, New York, NY, USA
| | - Murtaza Malbari
- Meyer Cancer Center, Weill Cornell Medicine, New York, NY, USA
| | | | | | | | | | | | - Federico Gaiti
- New York Genome Center, New York, NY, USA
- Meyer Cancer Center, Weill Cornell Medicine, New York, NY, USA
| | | | | | | | | | - Jedd D Wolchok
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Genevieve Boland
- Division of Surgical Oncology, Massachussetts General Hospital, Boston, MA, USA
| | | | | | - Dan A Landau
- New York Genome Center, New York, NY, USA.
- Meyer Cancer Center, Weill Cornell Medicine, New York, NY, USA.
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Applebaum MA, Barr EK, Karpus J, West-Szymanski DC, Oliva M, Sokol EA, Zhang S, Zhang Z, Zhang W, Chlenski A, Salwen HR, Wilkinson E, Dobratic M, Grossman RL, Godley LA, Stranger BE, He C, Cohn SL. 5-Hydroxymethylcytosine Profiles in Circulating Cell-Free DNA Associate with Disease Burden in Children with Neuroblastoma. Clin Cancer Res 2020; 26:1309-1317. [PMID: 31852832 PMCID: PMC7073281 DOI: 10.1158/1078-0432.ccr-19-2829] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2019] [Revised: 11/05/2019] [Accepted: 12/12/2019] [Indexed: 12/14/2022]
Abstract
PURPOSE 5-Hydroxymethylcytosine (5-hmC) is an epigenetic marker of open chromatin and active gene expression. We profiled 5-hmC with Nano-hmC-Seal technology using 10 ng of plasma-derived cell-free DNA (cfDNA) in blood samples from patients with neuroblastoma to determine its utility as a biomarker. EXPERIMENTAL DESIGN For the Discovery cohort, 100 5-hmC profiles were generated from 34 well children and 32 patients (27 high-risk, 2 intermediate-risk, and 3 low-risk) at various time points during the course of their disease. An independent Validation cohort encompassed 5-hmC cfDNA profiles (n = 29) generated from 21 patients (20 high-risk and 1 intermediate-risk). Metastatic burden was classified as high, moderate, low, or none per Curie metaiodobenzylguanidine scores and percentage of tumor cells in bone marrow. Genes with differential 5-hmC levels between samples according to metastatic burden were identified using DESeq2. RESULTS Hierarchical clustering using 5-hmC levels of 347 genes identified from the Discovery cohort defined four clusters of samples that were confirmed in the Validation cohort and corresponded to high, high-moderate, moderate, and low/no metastatic burden. Samples from patients with increased metastatic burden had increased 5-hmC deposition on genes in neuronal stem cell maintenance and epigenetic regulatory pathways. Further, 5-hmC cfDNA profiles generated with 1,242 neuronal pathway genes were associated with subsequent relapse in the cluster of patients with predominantly low or no metastatic burden (sensitivity 65%, specificity 75.6%). CONCLUSIONS cfDNA 5-hmC profiles in children with neuroblastoma correlate with metastatic burden and warrants development as a biomarker of treatment response and outcome.
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Affiliation(s)
- Mark A Applebaum
- Department of Pediatrics, University of Chicago, Chicago, Illinois.
| | - Erin K Barr
- Department of Pediatrics, Texas Tech University Health Sciences, Lubbock, Texas
| | - Jason Karpus
- Department of Chemistry, University of Chicago, Chicago, Illinois
| | | | - Meritxell Oliva
- Department of Medicine, University of Chicago, Chicago, Illinois
| | - Elizabeth A Sokol
- Department of Pediatrics, Ann and Robert H. Lurie Children's Hospital of Chicago, Chicago, Illinois
| | - Sheng Zhang
- Department of Chemistry, University of Chicago, Chicago, Illinois
| | - Zhou Zhang
- Department of Preventive Medicine, Northwestern University, Chicago, Illinois
| | - Wei Zhang
- Department of Preventive Medicine, Northwestern University, Chicago, Illinois
| | | | - Helen R Salwen
- Department of Pediatrics, University of Chicago, Chicago, Illinois
| | - Emma Wilkinson
- Department of Pediatrics, University of Chicago, Chicago, Illinois
| | - Marija Dobratic
- Department of Pediatrics, University of Chicago, Chicago, Illinois
| | - Robert L Grossman
- Institute for Genomics and Systems Biology, Center for Translational Data Science, University of Chicago, Chicago, Illinois
| | - Lucy A Godley
- Department of Medicine, University of Chicago, Chicago, Illinois
| | | | - Chuan He
- Department of Chemistry, University of Chicago, Chicago, Illinois
- Howard Hughes Medical Institute, Chevy Chase, Maryland
| | - Susan L Cohn
- Department of Pediatrics, University of Chicago, Chicago, Illinois
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7
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Mohammed BM, Fisher BJ, Kraskauskas D, Farkas D, Brophy DF, Fowler AA, Natarajan R. Vitamin C: a novel regulator of neutrophil extracellular trap formation. Nutrients 2013; 5:3131-51. [PMID: 23939536 PMCID: PMC3775246 DOI: 10.3390/nu5083131] [Citation(s) in RCA: 112] [Impact Index Per Article: 10.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2013] [Revised: 07/30/2013] [Accepted: 08/05/2013] [Indexed: 12/17/2022] Open
Abstract
INTRODUCTION Neutrophil extracellular trap (NET) formation was recently identified as a novel mechanism to kill pathogens. However, excessive NET formation in sepsis can injure host tissues. We have recently shown that parenteral vitamin C (VitC) is protective in sepsis. Whether VitC alters NETosis is unknown. METHODS We used Gulo-/- mice as they lack the ability to synthesize VitC. Sepsis was induced by intraperitoneal infusion of a fecal stem solution (abdominal peritonitis, FIP). Some VitC deficient Gulo-/- mice received an infusion of ascorbic acid (AscA, 200 mg/kg) 30 min after induction of FIP. NETosis was assessed histologically and by quantification for circulating free DNA (cf-DNA) in serum. Autophagy, histone citrullination, endoplasmic reticulum (ER) stress, NFκB activation and apoptosis were investigated in peritoneal PMNs. RESULTS Sepsis produced significant NETs in the lungs of VitC deficient Gulo-/- mice and increased circulating cf-DNA. This was attenuated in the VitC sufficient Gulo-/- mice and in VitC deficient Gulo-/- mice infused with AscA. Polymorphonuclear neutrophils (PMNs) from VitC deficient Gulo-/- mice demonstrated increased activation of ER stress, autophagy, histone citrullination, and NFκB activation, while apoptosis was inhibited. VitC also significantly attenuated PMA induced NETosis in PMNs from healthy human volunteers. CONCLUSIONS Our in vitro and in vivo findings identify VitC as a novel regulator of NET formation in sepsis. This study complements the notion that VitC is protective in sepsis settings.
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Affiliation(s)
- Bassem M. Mohammed
- Department of Pharmacotherapy and Outcomes Science, Virginia Commonwealth University, Richmond, VA 23298, USA; E-Mails: (B.M.M.); (D.F.B.)
- Department of Clinical Pharmacy, Faculty of Pharmacy, Cairo University, Cairo 11562, Egypt
| | - Bernard J. Fisher
- Division of Pulmonary Disease and Critical Care Medicine, Virginia Commonwealth University, Richmond, VA 23298, USA; E-Mails: (B.J.F.); (D.K.); (D.F.); (A.A.F.)
| | - Donatas Kraskauskas
- Division of Pulmonary Disease and Critical Care Medicine, Virginia Commonwealth University, Richmond, VA 23298, USA; E-Mails: (B.J.F.); (D.K.); (D.F.); (A.A.F.)
| | - Daniela Farkas
- Division of Pulmonary Disease and Critical Care Medicine, Virginia Commonwealth University, Richmond, VA 23298, USA; E-Mails: (B.J.F.); (D.K.); (D.F.); (A.A.F.)
| | - Donald F. Brophy
- Department of Pharmacotherapy and Outcomes Science, Virginia Commonwealth University, Richmond, VA 23298, USA; E-Mails: (B.M.M.); (D.F.B.)
| | - Alpha A. Fowler
- Division of Pulmonary Disease and Critical Care Medicine, Virginia Commonwealth University, Richmond, VA 23298, USA; E-Mails: (B.J.F.); (D.K.); (D.F.); (A.A.F.)
| | - Ramesh Natarajan
- Division of Pulmonary Disease and Critical Care Medicine, Virginia Commonwealth University, Richmond, VA 23298, USA; E-Mails: (B.J.F.); (D.K.); (D.F.); (A.A.F.)
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