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Arai H, Matsui H, Chi S, Utsu Y, Masuda S, Aotsuka N, Minami Y. Germline Variants and Characteristic Features of Hereditary Hematological Malignancy Syndrome. Int J Mol Sci 2024; 25:652. [PMID: 38203823 PMCID: PMC10779750 DOI: 10.3390/ijms25010652] [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: 11/07/2023] [Revised: 12/25/2023] [Accepted: 12/29/2023] [Indexed: 01/12/2024] Open
Abstract
Due to the proliferation of genetic testing, pathogenic germline variants predisposing to hereditary hematological malignancy syndrome (HHMS) have been identified in an increasing number of genes. Consequently, the field of HHMS is gaining recognition among clinicians and scientists worldwide. Patients with germline genetic abnormalities often have poor outcomes and are candidates for allogeneic hematopoietic stem cell transplantation (HSCT). However, HSCT using blood from a related donor should be carefully considered because of the risk that the patient may inherit a pathogenic variant. At present, we now face the challenge of incorporating these advances into clinical practice for patients with myelodysplastic syndrome (MDS) or acute myeloid leukemia (AML) and optimizing the management and surveillance of patients and asymptomatic carriers, with the limitation that evidence-based guidelines are often inadequate. The 2016 revision of the WHO classification added a new section on myeloid malignant neoplasms, including MDS and AML with germline predisposition. The main syndromes can be classified into three groups. Those without pre-existing disease or organ dysfunction; DDX41, TP53, CEBPA, those with pre-existing platelet disorders; ANKRD26, ETV6, RUNX1, and those with other organ dysfunctions; SAMD9/SAMD9L, GATA2, and inherited bone marrow failure syndromes. In this review, we will outline the role of the genes involved in HHMS in order to clarify our understanding of HHMS.
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Affiliation(s)
- Hironori Arai
- Department of Hematology, National Cancer Center Hospital East, Kashiwa 277-8577, Japan; (H.A.); (S.C.)
- Department of Hematology and Oncology, Japanese Red Cross Narita Hospital, Iidacho, Narita 286-0041, Japan; (Y.U.); (S.M.); (N.A.)
| | - Hirotaka Matsui
- Department of Laboratory Medicine, National Cancer Center Hospital, Tsukiji, Chuoku 104-0045, Japan;
- Department of Medical Oncology and Translational Research, Graduate School of Medical Sciences, Kumamoto University, Kumamoto 860-8665, Japan
| | - SungGi Chi
- Department of Hematology, National Cancer Center Hospital East, Kashiwa 277-8577, Japan; (H.A.); (S.C.)
| | - Yoshikazu Utsu
- Department of Hematology and Oncology, Japanese Red Cross Narita Hospital, Iidacho, Narita 286-0041, Japan; (Y.U.); (S.M.); (N.A.)
| | - Shinichi Masuda
- Department of Hematology and Oncology, Japanese Red Cross Narita Hospital, Iidacho, Narita 286-0041, Japan; (Y.U.); (S.M.); (N.A.)
| | - Nobuyuki Aotsuka
- Department of Hematology and Oncology, Japanese Red Cross Narita Hospital, Iidacho, Narita 286-0041, Japan; (Y.U.); (S.M.); (N.A.)
| | - Yosuke Minami
- Department of Hematology, National Cancer Center Hospital East, Kashiwa 277-8577, Japan; (H.A.); (S.C.)
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Gachard N, Lafage-Pochitaloff M, Quessada J, Auger N, Collonge-Rame MA. Cytogenetics in the management of hematologic neoplasms with germline predisposition: guidelines from the Groupe Francophone de Cytogénétique Hématologique (GFCH). Curr Res Transl Med 2023; 71:103416. [PMID: 37865978 DOI: 10.1016/j.retram.2023.103416] [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: 07/05/2023] [Revised: 09/21/2023] [Accepted: 09/29/2023] [Indexed: 10/24/2023]
Abstract
The number of predisposing genes is continuously growing with the widespread availability of DNA sequencing, increasing the prevalence of hematologic malignancies with germline predisposition. Cytogenetic analyses provide an effective approach for the recognition of these malignancies with germline predisposition, which is critical for proper diagnosis, optimal treatment and genetic counseling. Based on the World Health Organization and the international consensus classifications as well as the European LeukemiaNet recommendations, this review first presents an advanced classification of neoplasms with germline predisposition focused on the acquired cytogenetic alterations during leukemogenesis. The various genetic rescue mechanisms and the progression to transformation are then explained. The review also outlines the specific constitutional and somatic cytogenetic aberrations indicative of germline predisposition disorders in B-acute lymphoblastic leukemia (ALL), T-ALL, bone marrow failure syndrome and myeloid neoplasms. An emphasis is made on monosomy 7 in the predisposition field, its frequency and diagnosis impact as well as its various circumstances of occurrence. Lastly, we propose cytogenetic technical recommendations and guidelines for clinical reporting of these specific aberrations.
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Affiliation(s)
- Nathalie Gachard
- Laboratoire d'hématologie, Centre de Biologie et de Recherche en Santé, CHU de Limoges, Limoges 87042, France; UMR CNRS 7276, INSERM U1262 Université de Limoges, Limoges 87025, France.
| | - Marina Lafage-Pochitaloff
- Laboratoire de Cytogénétique Hématologique, Département d'Hématologie, CHU Timone, APHM, Aix Marseille Université, Marseille 13005, France
| | - Julie Quessada
- Laboratoire de Cytogénétique Hématologique, Département d'Hématologie, CHU Timone, APHM, Aix Marseille Université, Marseille 13005, France
| | - Nathalie Auger
- Laboratoire de Cytogénétique -Génétique des Tumeurs - Gustave Roussy - 144 rue Edouard Vaillant, Villejuif 94805, France
| | - Marie-Agnès Collonge-Rame
- Oncobiologie Génétique Bioinformatique, UF Cytogénétique et Génétique Moléculaire, CHU de Besançon, Besançon 25030, France
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3
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Liu YC, Geyer JT. Pediatric Hematopathology in the Era of Advanced Molecular Diagnostics: What We Know and How We Can Apply the Updated Classifications. Pathobiology 2023; 91:30-44. [PMID: 37311434 PMCID: PMC10857803 DOI: 10.1159/000531480] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2023] [Accepted: 05/30/2023] [Indexed: 06/15/2023] Open
Abstract
Pediatric hematologic malignancies often show genetic features distinct from their adult counterparts, which reflect the differences in their pathogenesis. Advances in the molecular diagnostics including the widespread use of next-generation sequencing technology have revolutionized the diagnostic workup for hematologic disorders and led to the identification of new disease subgroups as well as prognostic information that impacts the clinical treatment. The increasing recognition of the importance of germline predisposition in various hematologic malignancies also shapes the disease models and management. Although germline predisposition variants can occur in patients with myelodysplastic syndrome/neoplasm (MDS) of all ages, the frequency is highest in the pediatric patient population. Therefore, evaluation for germline predisposition in the pediatric group can have significant clinical impact. This review discusses the recent advances in juvenile myelomonocytic leukemia, pediatric acute myeloid leukemia, B-lymphoblastic leukemia/lymphoma, and pediatric MDS. This review also includes a brief discussion of the updated classifications from the International Consensus Classification (ICC) and the 5th edition World Health Organization (WHO) classification regarding these disease entities.
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Affiliation(s)
- Yen-Chun Liu
- Department of Pathology, St. Jude Children’s Research Hospital, Memphis, TN, USA
| | - Julia T. Geyer
- Department of Pathology and Laboratory Medicine, Weill Cornell Medicine, New York, NY, USA
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4
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Shimony S, Stahl M, Stone RM. Acute myeloid leukemia: 2023 update on diagnosis, risk-stratification, and management. Am J Hematol 2023; 98:502-526. [PMID: 36594187 DOI: 10.1002/ajh.26822] [Citation(s) in RCA: 97] [Impact Index Per Article: 97.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2022] [Revised: 12/01/2022] [Accepted: 12/15/2022] [Indexed: 01/04/2023]
Abstract
DISEASE OVERVIEW Acute myeloid leukemia (AML) is a frequently fatal bone marrow stem cell cancer characterized by unbridled proliferation of malignant marrow stem cells with associated infection, anemia, and bleeding. An improved understanding of pathophysiology, improvements in measurement technology and at least 10 recently approved therapies have led to revamping the diagnostic, prognostic, and therapeutic landscape of AML. DIAGNOSIS One updated and one new classification system were published in 2022, both emphasizing the integration of molecular analysis into daily practice. Differences between the International Consensus Classification and major revisions from the previous 2016 WHO system provide both challenges and opportunities for care and clinical research. RISK ASSESSMENT AND MONITORING The European Leukemia Net 2022 risk classification integrates knowledge from novel molecular findings and recent trial results, as well as emphasizing dynamic risk based on serial measurable residual disease assessment. However, how to leverage our burgeoning ability to measure a small number of potentially malignant myeloid cells into therapeutic decision making is controversial. RISK ADAPTED THERAPY The diagnostic and therapeutic complexity plus the availability of newly approved agents requires a nuanced therapeutic algorithm which should integrate patient goals of care, comorbidities, and disease characteristics including the specific mutational profile of the patient's AML. The framework we suggest only represents the beginning of the discussion.
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Affiliation(s)
- Shai Shimony
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA.,Rabin Medical Center and Faculty of Medicine, Tel Aviv University, Tel Aviv-Yafo, Israel
| | - Maximilian Stahl
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA
| | - Richard M Stone
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA
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Fabozzi F, Mastronuzzi A. Genetic Predisposition to Hematologic Malignancies in Childhood and Adolescence. Mediterr J Hematol Infect Dis 2023; 15:e2023032. [PMID: 37180200 PMCID: PMC10171214 DOI: 10.4084/mjhid.2023.032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2023] [Accepted: 04/19/2023] [Indexed: 05/16/2023] Open
Abstract
Advances in molecular biology and genetic testing have greatly improved our understanding of the genetic basis of hematologic malignancies and have enabled the identification of new cancer predisposition syndromes. Recognizing a germline mutation in a patient affected by a hematologic malignancy allows for a tailored treatment approach to minimize toxicities. It informs the donor selection, the timing, and the conditioning strategy for hematopoietic stem cell transplantation, as well as the comorbidities evaluation and surveillance strategies. This review provides an overview of germline mutations that predispose to hematologic malignancies, focusing on those most common during childhood and adolescence, based on the new International Consensus Classification of Myeloid and Lymphoid Neoplasms.
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Affiliation(s)
- Francesco Fabozzi
- Department of Pediatric Hematology/Oncology and Cellular and Gene Therapy, Bambino Gesù Children’s Hospital IRCCS, Rome, Italy
| | - Angela Mastronuzzi
- Department of Pediatric Hematology/Oncology and Cellular and Gene Therapy, Bambino Gesù Children’s Hospital IRCCS, Rome, Italy
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Duncavage EJ, Bagg A, Hasserjian RP, DiNardo CD, Godley LA, Iacobucci I, Jaiswal S, Malcovati L, Vannucchi AM, Patel KP, Arber DA, Arcila ME, Bejar R, Berliner N, Borowitz MJ, Branford S, Brown AL, Cargo CA, Döhner H, Falini B, Garcia-Manero G, Haferlach T, Hellström-Lindberg E, Kim AS, Klco JM, Komrokji R, Lee-Cheun Loh M, Loghavi S, Mullighan CG, Ogawa S, Orazi A, Papaemmanuil E, Reiter A, Ross DM, Savona M, Shimamura A, Skoda RC, Solé F, Stone RM, Tefferi A, Walter MJ, Wu D, Ebert BL, Cazzola M. Genomic profiling for clinical decision making in myeloid neoplasms and acute leukemia. Blood 2022; 140:2228-2247. [PMID: 36130297 PMCID: PMC10488320 DOI: 10.1182/blood.2022015853] [Citation(s) in RCA: 72] [Impact Index Per Article: 36.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2022] [Accepted: 08/27/2022] [Indexed: 11/20/2022] Open
Abstract
Myeloid neoplasms and acute leukemias derive from the clonal expansion of hematopoietic cells driven by somatic gene mutations. Although assessment of morphology plays a crucial role in the diagnostic evaluation of patients with these malignancies, genomic characterization has become increasingly important for accurate diagnosis, risk assessment, and therapeutic decision making. Conventional cytogenetics, a comprehensive and unbiased method for assessing chromosomal abnormalities, has been the mainstay of genomic testing over the past several decades and remains relevant today. However, more recent advances in sequencing technology have increased our ability to detect somatic mutations through the use of targeted gene panels, whole-exome sequencing, whole-genome sequencing, and whole-transcriptome sequencing or RNA sequencing. In patients with myeloid neoplasms, whole-genome sequencing represents a potential replacement for both conventional cytogenetic and sequencing approaches, providing rapid and accurate comprehensive genomic profiling. DNA sequencing methods are used not only for detecting somatically acquired gene mutations but also for identifying germline gene mutations associated with inherited predisposition to hematologic neoplasms. The 2022 International Consensus Classification of myeloid neoplasms and acute leukemias makes extensive use of genomic data. The aim of this report is to help physicians and laboratorians implement genomic testing for diagnosis, risk stratification, and clinical decision making and illustrates the potential of genomic profiling for enabling personalized medicine in patients with hematologic neoplasms.
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Affiliation(s)
- Eric J. Duncavage
- Department of Pathology and Immunology, Washington University, St. Louis, MO
| | - Adam Bagg
- Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA
| | | | - Courtney D. DiNardo
- Division of Cancer Medicine, Department of Leukemia, MD Anderson Cancer Center, Houston, TX
| | - Lucy A. Godley
- Section of Hematology and Oncology, Departments of Medicine and Human Genetics, The University of Chicago, Chicago, IL
| | - Ilaria Iacobucci
- Department of Pathology, St. Jude Children’s Research Hospital, Memphis, TN
| | | | - Luca Malcovati
- Department of Molecular Medicine, University of Pavia & Fondazione IRCCS Policlinico S. Matteo, Pavia, Italy
| | - Alessandro M. Vannucchi
- Department of Hematology, Center Research and Innovation of Myeloproliferative Neoplasms, University of Florence and Azienda Ospedaliero-Universitaria Careggi, Florence, Italy
| | - Keyur P. Patel
- Division of Pathology/Lab Medicine, Department of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | | | - Maria E. Arcila
- Department of Pathology, Memorial Sloan Lettering Cancer Center, New York, NY
| | - Rafael Bejar
- Division of Hematology and Oncology, University of California San Diego, La Jolla, CA
| | - Nancy Berliner
- Division of Hematology, Brigham and Women’s Hospital, Harvard University, Boston, MA
| | - Michael J. Borowitz
- Department of Pathology, Johns Hopkins Medical Institutions, Baltimore, MD
- Department of Oncology, Johns Hopkins Medical Institutions, Baltimore, MD
| | - Susan Branford
- Department of Genetics and Molecular Pathology, Center for Cancer Biology, SA Pathology, Adelaide, Australia
| | - Anna L. Brown
- Department of Pathology, South Australia Heath Alliance, Adelaide, Australia
| | - Catherine A. Cargo
- Haematological Malignancy Diagnostic Service, St James’s University Hospital, Leeds, United Kingdom
| | - Hartmut Döhner
- Department of Internal Medicine III, Ulm University Hospital, Ulm, Germany
| | - Brunangelo Falini
- Department of Hematology, CREO, University of Perugia, Perugia, Italy
| | | | | | - Eva Hellström-Lindberg
- Department of Medicine, Center for Hematology and Regenerative Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Annette S. Kim
- Department of Pathology, Brigham and Women’s Hospital, Harvard University, Boston, MA
| | - Jeffery M. Klco
- Department of Pathology, St. Jude Children’s Research Hospital, Memphis, TN
| | - Rami Komrokji
- Department of Malignant Hematology, Moffitt Cancer Center, Tampa, FL
| | - Mignon Lee-Cheun Loh
- Department of Pediatrics, Ben Towne Center for Childhood Cancer Research, Seattle Children’s Hospital, University of Washington, Seattle, WA
| | - Sanam Loghavi
- Division of Pathology/Lab Medicine, Department of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | | | - Seishi Ogawa
- University of Kyoto School of Medicine, Kyoto, Japan
| | - Attilio Orazi
- Department of Pathology, Texas Tech University Health Sciences Center, El Paso, TX
| | | | - Andreas Reiter
- University Hospital Mannheim, Heidelberg University, Mannheim, Germany
| | - David M. Ross
- Haematology Directorate, SA Pathology, Adelaide, Australia
| | - Michael Savona
- Department of Medicine, Vanderbilt University, Nashville, TN
| | - Akiko Shimamura
- Dana Farber/Boston Children’s Cancer and Blood Disorders Center, Harvard Medical School, Boston, MA
| | - Radek C. Skoda
- Department of Biomedicine, University Hospital Basel, Basel, Switzerland
| | - Francesc Solé
- MDS Group, Institut de Recerca contra la Leucèmia Josep Carreras, Barcelona, Spain
| | - Richard M. Stone
- Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA
| | | | | | - David Wu
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA
| | - Benjamin L. Ebert
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA
| | - Mario Cazzola
- Division of Hematology, Fondazione IRCCS Policlinico San Matteo, University of Pavia, Pavia, Italy
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Diagnosis and management of AML in adults: 2022 recommendations from an international expert panel on behalf of the ELN. Blood 2022; 140:1345-1377. [PMID: 35797463 DOI: 10.1182/blood.2022016867] [Citation(s) in RCA: 1002] [Impact Index Per Article: 501.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Accepted: 06/29/2022] [Indexed: 11/20/2022] Open
Abstract
The 2010 and 2017 editions of the European LeukemiaNet (ELN) recommendations for diagnosis and management of acute myeloid leukemia (AML) in adults are widely recognized among physicians and investigators. There have been major advances in our understanding of AML, including new knowledge about the molecular pathogenesis of AML, leading to an update of the disease classification, technological progress in genomic diagnostics and assessment of measurable residual disease, and the successful development of new therapeutic agents, such as FLT3, IDH1, IDH2, and BCL2 inhibitors. These advances have prompted this update that includes a revised ELN genetic risk classification, revised response criteria, and treatment recommendations.
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Mendes-de-Almeida DP, Andrade FG, dos Santos-Bueno FV, Saraiva Freitas DF, Soares-Lima SC, Zancopé-Oliveira RM, Pombo-de-Oliveira MS. GATA2 variants in patients with non-tuberculous mycobacterial or fungal infections without known immunodeficiencies. Hematol Transfus Cell Ther 2022:S2531-1379(22)00035-9. [DOI: 10.1016/j.htct.2022.01.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2021] [Revised: 01/14/2022] [Accepted: 01/28/2022] [Indexed: 10/18/2022] Open
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9
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Roloff GW, Drazer MW, Godley LA. Inherited Susceptibility to Hematopoietic Malignancies in the Era of Precision Oncology. JCO Precis Oncol 2022; 5:107-122. [PMID: 34994594 DOI: 10.1200/po.20.00387] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/14/2023] Open
Abstract
As germline predisposition to hematopoietic malignancies has gained increased recognition and attention in the field of oncology, it is important for clinicians to use a systematic framework for the identification, management, and surveillance of patients with hereditary hematopoietic malignancies (HHMs). In this article, we discuss strategies for identifying individuals who warrant diagnostic evaluation and describe considerations pertaining to molecular testing. Although a paucity of prospective data is available to guide clinical monitoring of individuals harboring pathogenic variants, we provide recommendations for clinical surveillance based on consensus opinion and highlight current advances regarding the risk of progression to overt malignancy in HHM variant carriers. We also discuss the prognosis of HHMs and considerations surrounding the utility of allogeneic stem-cell transplantation in these individuals. We close with an overview of contemporary issues at the intersection of HHMs and precision oncology.
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Affiliation(s)
- Gregory W Roloff
- Department of Medicine, Loyola University Medical Center, Maywood, IL
| | - Michael W Drazer
- Section of Hematology/Oncology, Department of Medicine and the Department of Human Genetics, the University of Chicago, Chicago, IL
| | - Lucy A Godley
- Section of Hematology/Oncology, Department of Medicine and the Department of Human Genetics, the University of Chicago, Chicago, IL
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Touw IP. Congenital neutropenia: disease models guiding new treatment strategies. Curr Opin Hematol 2022; 29:27-33. [PMID: 34854832 PMCID: PMC8654271 DOI: 10.1097/moh.0000000000000696] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/03/2022]
Abstract
PURPOSE OF REVIEW Myeloid diseases are often characterized by a disturbed regulation of myeloid cell proliferation, survival, and maturation. This may either result in a severe paucity of functional neutrophils (neutropenia), an excess production of mature cells (myeloproliferative disorders) or in clonal expansions of dysplastic or immature myeloid cells (myelodysplasia and acute myeloid leukemia). Although these conditions can be regarded as separate entities, caused by the accumulation of distinct sets of somatic gene mutations, it becomes increasingly clear that they may also evolve as the prime consequence of a congenital defect resulting in severe neutropenia. Prominent examples of such conditions include the genetically heterogeneous forms of severe congenital neutropenia (SCN) and Shwachman-Diamond Syndrome. CSF3 treatment is a successful therapy to alleviate neutropenia in the majority of these patients but does not cure the disease nor does it prevent malignant transformation. Allogeneic stem cell transplantation is currently the only therapeutic option to cure SCN, but is relatively cumbersome, e.g., hampered by treatment-related mortality and donor availability. Hence, there is a need for new therapeutic approaches. RECENT FINDINGS Developments in disease modeling, amongst others based on induced pluripotent stem cell and CRISPR/Cas9 based gene-editing technologies, have created new insights in disease biology and possibilities for treatment. In addition, they are fueling expectations for advanced disease monitoring to prevent malignant transformation. SUMMARY This review highlights the recent progress made in SCN disease modeling and discusses the challenges that are still ahead of us to gain a better understanding of the biological heterogeneity of the disease and its consequences for patient care.
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Affiliation(s)
- Ivo P Touw
- Department of Hematology, Erasmus University Medical Center, Rotterdam, The Netherlands
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11
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Costagliola G, Peroni DG, Consolini R. Beyond Infections: New Warning Signs for Inborn Errors of Immunity in Children. Front Pediatr 2022; 10:855445. [PMID: 35757131 PMCID: PMC9226481 DOI: 10.3389/fped.2022.855445] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/15/2022] [Accepted: 05/23/2022] [Indexed: 11/21/2022] Open
Abstract
Patients with inborn errors of immunity (IEI) are susceptible to developing a severe infection-related clinical phenotype, but the clinical consequences of immune dysregulation, expressed with autoimmunity, atopy, and lymphoproliferation could represent the first sign in a significant percentage of patients. Therefore, during the diagnostic work-up patients with IEI are frequently addressed to different specialists, including endocrinologists, rheumatologists, and allergologists, often resulting in a delayed diagnosis. In this paper, the most relevant non-infectious manifestations of IEI are discussed. Particularly, we will focus on the potential presentation of IEI with autoimmune cytopenia, non-malignant lymphoproliferation, severe eczema or erythroderma, autoimmune endocrinopathy, enteropathy, and rheumatologic manifestations, including vasculitis and systemic lupus erythematosus. This paper aims to identify new warning signs to suspect IEI and help in the identification of patients presenting with atypical/non-infectious manifestations.
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Affiliation(s)
- Giorgio Costagliola
- Section of Clinical and Laboratory Immunology, Division of Pediatrics, Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - Diego G Peroni
- Division of Pediatrics, Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - Rita Consolini
- Section of Clinical and Laboratory Immunology, Division of Pediatrics, Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
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12
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Bąk A, Skonieczka K, Jaśkowiec A, Junkiert-Czarnecka A, Heise M, Pilarska-Deltow M, Potoczek S, Czyżewska M, Haus O. Germline mutations among Polish patients with acute myeloid leukemia. Hered Cancer Clin Pract 2021; 19:42. [PMID: 34641967 PMCID: PMC8507332 DOI: 10.1186/s13053-021-00200-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2021] [Accepted: 09/21/2021] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND A small but important proportion of patients (4-10 %) with AML have germline mutations. They can cause the development of AML at an earlier age, confer a higher risk of relapse or predispose to secondary leukemias, including therapy-related leukemias. The analysis of germline mutations in a patient and his/her family is also critical for the selection of suitable family donors if the patient is a candidate for hematopoietic stem cell transplantation (HSCT). METHODS 103 unrelated consecutive patients with de novo AML were enrolled in the study. Control group consisted of 103 persons from the general population. We performed NGS sequencing of bone marrow cells and buccal swabs DNA of six genes: CEBPA, DDX41, ETV6, TERT, GATA2, and IDH2 to detect germline pathogenic mutations. RESULTS In the investigated group, 49 variants were detected in six genes. 26 of them were somatic and 23 germline. Germline variants were detected in all six tested genes. Eight pathogenic germline mutations were detected in 7 AML patients, in three genes: CEBPA, ETV6, and IDH2. One patient had two pathogenic germinal mutations, one in ETV6 and one in CEBPA gene. We identified one novel pathogenic germline mutation in CEBPA gene. The difference in frequency of all pathogenic germline mutations between the tested (7.77 %) and control groups (0.97 %) was statistically significant (p = 0.046). In the tested group, the median age at AML diagnosis was 11 years lower in patients with pathogenic germline mutations than in patients without them (p = 0.028). CONCLUSIONS We showed higher frequency of CEBPA, ETV6, and IDH2 germline mutations in AML patients than in control group, which confirms the role of these mutations in the development of AML. We also showed that the median age at the onset of AML in patients with pathogenic germline mutations is significantly lower than in patients without them.
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Affiliation(s)
- Aneta Bąk
- Department of Clinical Genetics, Collegium Medicum, Nicolaus Copernicus University, Bydgoszcz, Toruń, Poland.
| | - Katarzyna Skonieczka
- Department of Clinical Genetics, Collegium Medicum, Nicolaus Copernicus University, Bydgoszcz, Toruń, Poland
| | - Anna Jaśkowiec
- Department of Hematology, Blood Neoplasms and Bone Marrow Transplantation, Medical University, Wrocław, Poland
| | - Anna Junkiert-Czarnecka
- Department of Clinical Genetics, Collegium Medicum, Nicolaus Copernicus University, Bydgoszcz, Toruń, Poland
| | - Marta Heise
- Department of Clinical Genetics, Collegium Medicum, Nicolaus Copernicus University, Bydgoszcz, Toruń, Poland
| | - Maria Pilarska-Deltow
- Department of Clinical Genetics, Collegium Medicum, Nicolaus Copernicus University, Bydgoszcz, Toruń, Poland
| | - Stanisław Potoczek
- Department of Hematology, Blood Neoplasms and Bone Marrow Transplantation, Medical University, Wrocław, Poland
| | | | - Olga Haus
- Department of Clinical Genetics, Collegium Medicum, Nicolaus Copernicus University, Bydgoszcz, Toruń, Poland
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Friend P, Mahon SM. Myeloid Malignancies: Recognizing the Risk of Germline Predisposition and Supporting Patients and Families. Clin J Oncol Nurs 2021; 25:519-522. [PMID: 34533515 DOI: 10.1188/21.cjon.519-522] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
There is increasing recognition of the role of inheritance in myeloid malignancies. Differentiating germline from somatic variants in a hematologic malignancy is challenging but important. Oncology nurses need to be knowledgeable about the germline risk associated with myeloid malignancies; the inherited risk is well established and has implications for affected individuals as well as family members who may be at risk for malignancy themselves or who are being evaluated to serve as a related donor for allogeneic hematopoietic stem cell transplantation.
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14
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Childhood Acute Myeloid Leukemia shows a high level of germline predisposition. Blood 2021; 138:2293-2298. [PMID: 34521114 DOI: 10.1182/blood.2021012666] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2021] [Accepted: 08/25/2021] [Indexed: 11/20/2022] Open
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15
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Abstract
PURPOSE OF REVIEW Recognition of hereditary hematopoietic malignancies impacts patient management as well as health surveillance strategies for the patient and relatives who share the causative DNA variant. In this review, barriers to the diagnosis and management of patients are outlined. RECENT FINDINGS Increasingly, individuals are being recognized as having germline predisposition to hematopoietic malignancies. Clinical testing for these syndromes is difficult for most clinicians given the need to send true germline samples and the lack of standardization in the field with regard to which genes are covered and the types of DNA changes detected. Additional barriers such as insurance coverage, especially for older individuals, and access to clinical experts need to be overcome in the future. SUMMARY New research addressing whether use of hematopoietic stem cells with deleterious variants are permissive to transplantation; effective means of delivering genetic counseling and results disclosure to decrease the psychological impact of these diagnoses; and a comprehensive list of all predisposition genes will advance our ability to provide the best treatment possible for our patients and facilitate strategies to maintain excellent health throughout their lifetimes and for members of younger generations. VIDEO ABSTRACT Submitted, http://links.lww.com/COH/A22.
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16
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DNA Methylation and Intra-Clonal Heterogeneity: The Chronic Myeloid Leukemia Model. Cancers (Basel) 2021; 13:cancers13143587. [PMID: 34298798 PMCID: PMC8307727 DOI: 10.3390/cancers13143587] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2021] [Revised: 07/09/2021] [Accepted: 07/13/2021] [Indexed: 01/24/2023] Open
Abstract
Chronic Myeloid Leukemia (CML) is a model to investigate the impact of tumor intra-clonal heterogeneity in personalized medicine. Indeed, tyrosine kinase inhibitors (TKIs) target the BCR-ABL fusion protein, which is considered the major CML driver. TKI use has highlighted the existence of intra-clonal heterogeneity, as indicated by the persistence of a minority subclone for several years despite the presence of the target fusion protein in all cells. Epigenetic modifications could partly explain this heterogeneity. This review summarizes the results of DNA methylation studies in CML. Next-generation sequencing technologies allowed for moving from single-gene to genome-wide analyses showing that methylation abnormalities are much more widespread in CML cells. These data showed that global hypomethylation is associated with hypermethylation of specific sites already at diagnosis in the early phase of CML. The BCR-ABL-independence of some methylation profile alterations and the recent demonstration of the initial intra-clonal DNA methylation heterogeneity suggests that some DNA methylation alterations may be biomarkers of TKI sensitivity/resistance and of disease progression risk. These results also open perspectives for understanding the epigenetic/genetic background of CML predisposition and for developing new therapeutic strategies.
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17
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Williams L, Doucette K, Karp JE, Lai C. Genetics of donor cell leukemia in acute myelogenous leukemia and myelodysplastic syndrome. Bone Marrow Transplant 2021; 56:1535-1549. [PMID: 33686252 DOI: 10.1038/s41409-021-01214-z] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2020] [Revised: 12/21/2020] [Accepted: 01/07/2021] [Indexed: 01/31/2023]
Abstract
Allogeneic hematopoietic stem cell transplantation (HSCT) is an important therapeutic modality for patients with acute myelogenous leukemia (AML) with poor risk features. Nonetheless, roughly 30% of such patients have leukemia recurrence and up to 2% of these are donor-derived leukemias, in which malignancy develops in the donor's transplanted cells, despite extremely low rates of leukemia in the donors themselves. Notably, over 20% of these malignancies carry chromosome 7 abnormalities nearly all of which are monosomies. Recent advances in whole exome and genome sequencing have allowed for detection of candidate genes that likely contribute to the development of AML in donor cells (donor leukemia, DCL). These genes include CEBPA, GATA2, JAK2, RUNX1, DDX41, EZH2, IDH1/2, DNMT3A, ASXL1, XPD, XRCC3, and CHEK1. The potential roles of variants in these genes are evaluated based on familial clustering of MDS/AML and corresponding animal studies demonstrating their leukemogenic nature. This review describes the spectrum of genetic aberrations detected in DCL cases in the literature with regard to the character of the individual cases, existing family cohorts that carry individual genes, and functional studies that support etiologic roles in AML development. DCL presents a unique opportunity to examine genetic variants in the donors and recipients with regards to progression to malignancy.
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Affiliation(s)
- Lacey Williams
- Georgetown University Medical Center, Lombardi Comprehensive Cancer Center, Washington, DC, USA
| | - Kimberley Doucette
- Georgetown University Medical Center, Lombardi Comprehensive Cancer Center, Washington, DC, USA
| | - Judith E Karp
- The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Catherine Lai
- Georgetown University Medical Center, Lombardi Comprehensive Cancer Center, Washington, DC, USA.
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18
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Feurstein S, Drazer M, Godley LA. Germline predisposition to haematopoietic malignancies. Hum Mol Genet 2021; 30:R225-R235. [PMID: 34100074 DOI: 10.1093/hmg/ddab141] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2021] [Revised: 05/15/2021] [Accepted: 05/17/2021] [Indexed: 12/12/2022] Open
Abstract
Once thought to be exceedingly rare, the advent of next-generation sequencing has revealed a plethora of germline predisposition disorders that confer risk for haematopoietic malignancies (HMs). These syndromes are now recognized to be much more common than previously thought. The recognition of a germline susceptibility risk allele in an individual impacts the clinical management and health surveillance strategies in the index patient and relatives who share the causative DNA variant. Challenges to accurate clinical testing include a lack of familiarity in many health care providers, the requirement for DNA samples that reasonably approximate the germline state, and a lack of standardization among diagnostic platforms as to which genes are sequenced and their capabilities in detecting the full range of variant types that confer risk. Current knowledge gaps include a comprehensive understanding of all predisposition genes; whether scenarios exist in which an allogeneic stem cell transplant using donor haematopoietic stem cells with deleterious variants is permissive; and effective means of delivering genetic counseling and results disclosure for these conditions. We are hopeful that comprehensive germline genetic testing, universal germline testing for all patients with an HM, universal germline testing for allogeneic haematopoietic stem cell donors, and the development of preventive strategies to delay or even prevent malignancies will be available in the near future. These factors will likely contribute to improved health outcomes for at-risk individuals and their family members.
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Affiliation(s)
- Simone Feurstein
- Section of Hematology/Oncology, Department of Medicine, The University of Chicago, Chicago, IL
| | - Michael Drazer
- Section of Hematology/Oncology, Department of Medicine, The University of Chicago, Chicago, IL.,Department of Human Genetics, The University of Chicago, Chicago, IL
| | - Lucy A Godley
- Section of Hematology/Oncology, Department of Medicine, The University of Chicago, Chicago, IL.,Department of Human Genetics, The University of Chicago, Chicago, IL
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19
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Identifying potential germline variants from sequencing hematopoietic malignancies. Blood 2021; 136:2498-2506. [PMID: 33236764 DOI: 10.1182/blood.2020006910] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2020] [Accepted: 08/23/2020] [Indexed: 12/12/2022] Open
Abstract
Next-generation sequencing (NGS) of bone marrow and peripheral blood increasingly guides clinical care in hematological malignancies. NGS data may help to identify single nucleotide variants, insertions/deletions, copy number variations, and translocations at a single time point, and repeated NGS testing allows tracking of dynamic changes in variants during the course of a patient's disease. Tumor cells used for NGS may contain germline, somatic, and clonal hematopoietic DNA alterations, and distinguishing the etiology of a variant may be challenging. We describe an approach using patient history, individual variant characteristics, and sequential NGS assays to identify potential germline variants. Our current criteria for identifying an individual likely to have a deleterious germline variant include a strong family history or multiple cancers in a single patient, diagnosis of a hematopoietic malignancy at a younger age than seen in the general population, variant allele frequency > 0.3 of a deleterious allele in a known germline predisposition gene, and variant persistence identified on clinical NGS panels, despite a change in disease state. Sequential molecular testing of hematopoietic specimens may provide insight into disease pathology, impact patient and family members' care, and potentially identify new cancer-predisposing risk alleles. Ideally, individuals should give consent at the time of NGS testing to receive information about potential germline variants and to allow future contact as research advances.
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20
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Accurate germline RUNX1 variant interpretation and its clinical significance. Blood Adv 2021; 4:6199-6203. [PMID: 33351114 DOI: 10.1182/bloodadvances.2020003304] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2020] [Accepted: 11/02/2020] [Indexed: 02/07/2023] Open
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21
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Iacobucci I, Mullighan C. Prognostic mutation constellations in acute myeloid leukaemia and myelodysplastic syndrome. Curr Opin Hematol 2021; 28:101-109. [PMID: 33427759 PMCID: PMC8174569 DOI: 10.1097/moh.0000000000000629] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
PURPOSE OF REVIEW In the past decade, numerous studies analysing the genome and transcriptome of large cohorts of acute myeloid leukaemia (AML) and myelodysplastic syndrome (MDS) patients have substantially improved our knowledge of the genetic landscape of these diseases with the identification of heterogeneous constellations of germline and somatic mutations with prognostic and therapeutic relevance. However, inclusion of integrated genetic data into classification schema is still far from a reality. The purpose of this review is to summarize recent insights into the prevalence, pathogenic role, clonal architecture, prognostic impact and therapeutic management of genetic alterations across the spectrum of myeloid malignancies. RECENT FINDINGS Recent multiomic-studies, including analysis of genetic alterations at the single-cell resolution, have revealed a high heterogeneity of lesions in over 200 recurrently mutated genes affecting disease initiation, clonal evolution and clinical outcome. Artificial intelligence and specifically machine learning approaches have been applied to large cohorts of AML and MDS patients to define in an unbiased manner clinically meaningful disease patterns including, disease classification, prognostication and therapeutic vulnerability, paving the way for future use in clinical practice. SUMMARY Integration of genomic, transcriptomic, epigenomic and clinical data coupled to conventional and machine learning approaches will allow refined leukaemia classification and risk prognostication and will identify novel therapeutic targets for these still high-risk leukaemia subtypes.
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Affiliation(s)
- Ilaria Iacobucci
- Department of Pathology, St. Jude Children’s Research Hospital, Memphis (USA)
| | - Charles Mullighan
- Department of Pathology, St. Jude Children’s Research Hospital, Memphis (USA)
- Hematological Malignancies Program, St Jude Children’s Research Hospital, Memphis, TN, United States
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22
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Choi EJ, Cho YU, Hur EH, Jang S, Kim N, Park HS, Lee JH, Lee KH, Kim SH, Hwang SH, Seo EJ, Park CJ, Lee JH. Unique ethnic features of DDX41 mutations in patients with idiopathic cytopenia of undetermined significance, myelodysplastic syndrome, or acute myeloid leukemia. Haematologica 2021; 107:510-518. [PMID: 33626862 PMCID: PMC8804579 DOI: 10.3324/haematol.2020.270553] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2020] [Indexed: 11/09/2022] Open
Abstract
DDX41 mutations are associated with hematologic malignancies including myelodysplastic syndrome (MDS) and acute myeloid leukemia (AML), but the incidence in idiopathic cytopenia of undetermined significance (ICUS) is unknown. We investigated the incidence, genetic characteristics, and clinical features of DDX41 mutations in Korean patients with ICUS, MDS, or AML. We performed targeted deep sequencing of 61 genes including DDX41 in 457 patients with ICUS (n=75), MDS (n=210), or AML (n=172). The germline DDX41 mutations with causality were identified in 28 (6.1%) patients, of whom 27 (96.4%) had somatic mutations in the other position of DDX41. Germline origins of the DDX41 mutations were confirmed in all of the 11 patients who performed germline-based testing. Of the germline DDX41 mutations, p.V152G (n=10) was most common, followed by p.Y259C (n=8), p.A500fs (n=6), and p.E7* (n=3). Compared with non-mutated patients, DDX41-mutated patients showed male predominance, old age, normal karyotype, low leukocyte count, and hypocellular marrow at diagnosis. Three of the 4 ICUS patients with germline DDX41 mutations progressed to MDS. DDX41 mutations in Korean patients showed a high incidence and distinct mutation patterns, in that p.V152G was a unique germline variant. ICUS harboring germline DDX41 mutations may be regarded as a hereditary myeloid neoplasm. Germline DDX41 mutations are not uncommon and should be explored when treating the patients with myeloid malignancies.
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Affiliation(s)
- Eun-Ji Choi
- Department of Hematology, Asan Medical Center, University of Ulsan College of Medicine, Seoul
| | - Young-Uk Cho
- Department of Laboratory Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul
| | - Eun-Hye Hur
- Department of Hematology, Asan Medical Center, University of Ulsan College of Medicine, Seoul
| | - Seongsoo Jang
- Department of Laboratory Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul
| | - Nayoung Kim
- Asan Institution for Life Sciences and Department of Convergence Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul
| | - Han-Seung Park
- Department of Hematology, Asan Medical Center, University of Ulsan College of Medicine, Seoul
| | - Jung-Hee Lee
- Department of Hematology, Asan Medical Center, University of Ulsan College of Medicine, Seoul
| | - Kyoo-Hyung Lee
- Department of Hematology, Asan Medical Center, University of Ulsan College of Medicine, Seoul
| | - Si-Hwan Kim
- Department of Laboratory Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul
| | - Sang-Hyun Hwang
- Department of Laboratory Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul
| | - Eul-Ju Seo
- Department of Laboratory Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul
| | - Chan-Jeoung Park
- Department of Laboratory Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul
| | - Je-Hwan Lee
- Department of Hematology, Asan Medical Center, University of Ulsan College of Medicine, Seoul.
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23
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Bi L, Ma T, Li X, Wei L, Liu Z, Feng B, Dong B, Chen X. New progress in the study of germline susceptibility genes of myeloid neoplasms. Oncol Lett 2021; 21:317. [PMID: 33692849 PMCID: PMC7933751 DOI: 10.3892/ol.2021.12578] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2020] [Accepted: 01/21/2021] [Indexed: 12/25/2022] Open
Abstract
In 2016, the World Health Organization incorporated ‘myeloid neoplasms with germline predisposition’ into its classification of tumors of hematopoietic and lymphoid tissues, revealing the important role of germline mutations in certain myeloid neoplasms, particularly myelodysplastic syndrome and acute myeloid leukemia. The awareness of germline susceptibility has increased, and some patients with myeloid neoplasms present with a preexisting disorder or organ dysfunction. In such cases, mutations in genes including CCAAT enhancer binding protein α (CEBPA), DEAD (Asp-Glu-Ala-Asp) box polypeptide 41 (DDX41), RUNX family transcription factor 1 (RUNX1), GATA binding protein 2 (GATA2), Janus kinase 2 (JAK2) and ETS variant transcription factor 6 (ETV6) have been recognized. Moreover, with the application of advanced technologies and reports of more cases, additional germline mutations associated with myeloid neoplasms have been identified and provide insights into the formation, prognosis and therapy of myeloid neoplasms. The present review discusses the well-known CEBPA, DDX41, RUNX1, GATA2, JAK2 and ETV6 germline mutations, and other mutations including those of lymphocyte adapter protein/SH2B adapter protein 3 and duplications of autophagy related 2B, GSK3B interacting protein αnd RB binding protein 6, ubiquitin ligase, that remain to be confirmed or explored. Recommendations for the management of diseases associated with germline mutations are also provided.
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Affiliation(s)
- Lei Bi
- Department of Hematology, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi 710032, P.R. China
| | - Tianyuan Ma
- Department of Stomatology, Fourth Military Medical University, Xi'an, Shaanxi 710032, P.R. China
| | - Xu Li
- College of Basic Medicine, Fourth Military Medical University, Xi'an, Shaanxi 710032, P.R. China
| | - Lai Wei
- College of Basic Medicine, Fourth Military Medical University, Xi'an, Shaanxi 710032, P.R. China
| | - Zinuo Liu
- College of Basic Medicine, Fourth Military Medical University, Xi'an, Shaanxi 710032, P.R. China
| | - Bingyue Feng
- College of Basic Medicine, Fourth Military Medical University, Xi'an, Shaanxi 710032, P.R. China
| | - Baoxia Dong
- Department of Hematology, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi 710032, P.R. China
| | - Xiequn Chen
- Department of Hematology, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi 710032, P.R. China.,Hematology and Oncology Center, Affiliated Hospital of Northwest University and Xian No. 3 Hospital, Xi'an, Shaanxi 710082, P.R. China
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24
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Kraft IL, Godley LA. Identifying potential germline variants from sequencing hematopoietic malignancies. HEMATOLOGY. AMERICAN SOCIETY OF HEMATOLOGY. EDUCATION PROGRAM 2020; 2020:219-227. [PMID: 33275754 PMCID: PMC7727528 DOI: 10.1182/hematology.2020006910] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/04/2023]
Abstract
Next-generation sequencing (NGS) of bone marrow and peripheral blood increasingly guides clinical care in hematological malignancies. NGS data may help to identify single nucleotide variants, insertions/deletions, copy number variations, and translocations at a single time point, and repeated NGS testing allows tracking of dynamic changes in variants during the course of a patient's disease. Tumor cells used for NGS may contain germline, somatic, and clonal hematopoietic DNA alterations, and distinguishing the etiology of a variant may be challenging. We describe an approach using patient history, individual variant characteristics, and sequential NGS assays to identify potential germline variants. Our current criteria for identifying an individual likely to have a deleterious germline variant include a strong family history or multiple cancers in a single patient, diagnosis of a hematopoietic malignancy at a younger age than seen in the general population, variant allele frequency > 0.3 of a deleterious allele in a known germline predisposition gene, and variant persistence identified on clinical NGS panels, despite a change in disease state. Sequential molecular testing of hematopoietic specimens may provide insight into disease pathology, impact patient and family members' care, and potentially identify new cancer-predisposing risk alleles. Ideally, individuals should give consent at the time of NGS testing to receive information about potential germline variants and to allow future contact as research advances.
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Affiliation(s)
- Ira L. Kraft
- Section of Hematology/Oncology, Department of Medicine and The University of Chicago Comprehensive Cancer Center and
| | - Lucy A. Godley
- Section of Hematology/Oncology, Department of Medicine and The University of Chicago Comprehensive Cancer Center and
- Department of Human Genetics, The University of Chicago, Chicago, IL
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25
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Dinh KN, Corey SJ, Kimmel M. Application of the Moran Model in Estimating Selection Coefficient of Mutated CSF3R Clones in the Evolution of Severe Congenital Neutropenia to Myeloid Neoplasia. Front Physiol 2020; 11:806. [PMID: 33041834 PMCID: PMC7527629 DOI: 10.3389/fphys.2020.00806] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2020] [Accepted: 06/17/2020] [Indexed: 12/13/2022] Open
Abstract
Bone marrow failure (BMF) syndromes, such as severe congenital neutropenia (SCN) are leukemia predisposition syndromes. We focus here on the transition from SCN to pre-leukemic myelodysplastic syndrome (MDS). Stochastic mathematical models have been conceived that attempt to explain the transition of SCN to MDS, in the most parsimonious way, using extensions of standard processes of population genetics and population dynamics, such as the branching and the Moran processes. We previously presented a hypothesis of the SCN to MDS transition, which involves directional selection and recurrent mutation, to explain the distribution of ages at onset of MDS or AML. Based on experimental and clinical data and a model of human hematopoiesis, a range of probable values of the selection coefficient s and mutation rate μ have been determined. These estimates lead to predictions of the age at onset of MDS or AML, which are consistent with the clinical data. In the current paper, based on data extracted from published literature, we seek to provide an independent validation of these estimates. We proceed with two purposes in mind: (i) to determine the ballpark estimates of the selection coefficients and verify their consistency with those previously obtained and (ii) to provide possible insight into the role of recurrent mutations of the G-CSF receptor in the SCN to MDS transition.
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Affiliation(s)
- Khanh N Dinh
- Irving Institute for Cancer Dynamics and Department of Statistics, Columbia University, New York, NY, United States
| | - Seth J Corey
- Departments of Pediatric and Cancer Biology, Cleveland Clinic, Cleveland, OH, United States
| | - Marek Kimmel
- Departments of Statistics and Bioengineering, Rice University, Houston, TX, United States.,Department of Systems Biology and Engineering, Gliwice, Poland
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26
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Cruz-Ávila HA, Vallejo M, Martínez-García M, Hernández-Lemus E. Comorbidity Networks in Cardiovascular Diseases. Front Physiol 2020; 11:1009. [PMID: 32982776 PMCID: PMC7485389 DOI: 10.3389/fphys.2020.01009] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2020] [Accepted: 07/24/2020] [Indexed: 12/24/2022] Open
Abstract
Background: Cardiovascular diseases are the leading causes of mortality worldwide. One reason behind this lethality lies in the fact that often cardiovascular illnesses develop into systemic failure due to the multiple connections to organismal metabolism. This in turn is associated with co-morbidities and multimorbidity. The prevalence of coexisting diseases and the relationship between the molecular origins adds to the complexity of the management of cardiovascular diseases and thus requires a profound knowledge of the genetic interaction of diseases. Objective: In order to develop a deeper understanding of this phenomenon, we examined the patterns of comorbidity as well as their genetic interaction of the diseases (or the lack of evidence of it) in a large set of cases diagnosed with cardiovascular conditions at the national reference hospital for cardiovascular diseases in Mexico. Methods: We performed a cross-sectional study of the National Institute of Cardiology. Socioeconomic information, principal diagnosis that led to the hospitalization and other conditions identified by an ICD-10 code were obtained for 34,099 discharged cases. With this information a cardiovascular comorbidity networks were built both for the full database and for ten 10-years age brackets. The associated cardiovascular comorbidities modules were found. Data mining was performed in the comprehensive ClinVar database with the disease names (as extracted from ICD-10 codes) to establish (when possible) connections between the genetic associations of the genetic interaction of diseases. The rationale is that some comorbidities may have a stronger genetic origin, whereas for others, the environment and other factors may be stronger. Results: We found that comorbidity networks are highly centralized in prevalent diseases, such as cardiac arrhythmias, heart failure, chronic kidney disease, hypertension, and ischemic diseases. Said comorbidity networks are actually modular on their connectivity. Modules recapitulate physiopathological commonalities, e.g., ischemic diseases clustering together. This is also the case of chronic systemic diseases, of congenital malformations and others. The genetic and environmental commonalities behind some of the relations in these modules were also found by resorting to clinical genetics databases and functional pathway enrichment studies. Conclusions: This methodology, hence may allow the clinician to look up for non-evident comorbidities whose knowledge will lead to improve therapeutically designs. By continued and consistent analysis of these types of patterns, we envisaged that it may be possible to acquire, strong clinical and basic insights that may further our advance toward a better understanding of cardiovascular diseases as a whole. Hopefully these may in turn lead to further development of better, integrated therapeutic strategies.
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Affiliation(s)
- Héctor A Cruz-Ávila
- Health Promotion Department, Autonomous University of Mexico City, Mexico City, Mexico.,Sociomedical Research Unit, National Institute of Cardiology "Ignacio Chávez", Mexico City, Mexico
| | - Maite Vallejo
- Sociomedical Research Unit, National Institute of Cardiology "Ignacio Chávez", Mexico City, Mexico
| | - Mireya Martínez-García
- Sociomedical Research Unit, National Institute of Cardiology "Ignacio Chávez", Mexico City, Mexico
| | - Enrique Hernández-Lemus
- Computational Genomics Division, National Institute of Genomic Medicine (INMEGEN), Mexico City, Mexico.,Centro de Ciencias de la Complejidad, Universidad Nacional Autónoma de México, Mexico City, Mexico
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27
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Fox LC, Wood EM, Ritchie DS, Blombery P. Diagnostic evaluation and considerations in hypocellular bone marrow failure—A focus on genomics. Int J Lab Hematol 2020; 42 Suppl 1:82-89. [DOI: 10.1111/ijlh.13179] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2020] [Revised: 02/09/2020] [Accepted: 02/11/2020] [Indexed: 11/27/2022]
Affiliation(s)
- Lucy C. Fox
- Peter MacCallum Cancer Centre Melbourne Vic. Australia
- University of Melbourne Melbourne Vic. Australia
- Transfusion Research Unit Monash University Melbourne Vic. Australia
| | - Erica M. Wood
- Transfusion Research Unit Monash University Melbourne Vic. Australia
- Monash Health Melbourne Vic. Australia
| | - David S. Ritchie
- Peter MacCallum Cancer Centre Melbourne Vic. Australia
- University of Melbourne Melbourne Vic. Australia
| | - Piers Blombery
- Peter MacCallum Cancer Centre Melbourne Vic. Australia
- University of Melbourne Melbourne Vic. Australia
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