Literature DB >> 31810765

Assessing clonal haematopoiesis: clinical burdens and benefits of diagnosing myelodysplastic syndrome precursor states.

Lukasz P Gondek1, Amy E DeZern2.   

Abstract

Diagnosing, surveilling, and understanding the biological consequences of clonal haematopoiesis poses a clinical challenge for both patients and clinicians. The relationship between peripheral blood cytopenias and myeloid neoplasms-such as myelodysplastic syndrome-is an area of active research, and understanding of clonal haematopoiesis has developed markedly on the basis of findings concerning somatic mutations in genes known to be associated with myelodysplastic syndrome. These findings have raised the conundrum of how to appropriately define and follow myelodysplastic syndrome precursor states, such as clonal haematopoiesis of indeterminate potential (CHIP) and clonal cytopenias of undetermined significance (CCUS). Identifying these conditions could allow earlier diagnosis of myelodysplastic syndrome, modify surveillance for myelodysplastic syndrome, and possibly guide therapies, but this information also comes at a cost to patients that might or might not be justified by our present understanding of clonal haematopoiesis. When faced with a diagnosis of clonal haematopoiesis, some patients and providers might be content to let the events unfold naturally, whereas others may insist on intense follow-up and early interventions. This Viewpoint assesses recent developments in clonal haematopoiesis and the related implications for affected patients and their providers.
Copyright © 2020 Elsevier Ltd. All rights reserved.

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Year:  2019        PMID: 31810765      PMCID: PMC7008978          DOI: 10.1016/S2352-3026(19)30211-X

Source DB:  PubMed          Journal:  Lancet Haematol        ISSN: 2352-3026            Impact factor:   18.959


  60 in total

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Review 3.  Age-related clonal hematopoiesis.

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5.  Age-related clonal hematopoiesis associated with adverse outcomes.

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Journal:  N Engl J Med       Date:  2014-11-26       Impact factor: 91.245

6.  Cytogenetic clonal evolution in myelodysplastic syndromes is associated with inferior prognosis.

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Journal:  Cancer       Date:  2017-07-26       Impact factor: 6.860

Review 7.  CHIP, CCUS, and Other Acronyms: Definition, Implications, and Impact on Practice.

Authors:  Amy E DeZern; Luca Malcovati; Benjamin L Ebert
Journal:  Am Soc Clin Oncol Educ Book       Date:  2019-05-17

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Authors:  Amy E DeZern; Mikkael A Sekeres
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9.  Landscape of genetic lesions in 944 patients with myelodysplastic syndromes.

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Journal:  Leukemia       Date:  2013-11-13       Impact factor: 11.528

10.  Role of TP53 mutations in the origin and evolution of therapy-related acute myeloid leukaemia.

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Journal:  Nature       Date:  2014-12-08       Impact factor: 49.962

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  11 in total

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Journal:  Blood Adv       Date:  2021-04-27

Review 2.  Persistent inflammatory and non-inflammatory mechanisms in refractory rheumatoid arthritis.

Authors:  Maya H Buch; Stephen Eyre; Dennis McGonagle
Journal:  Nat Rev Rheumatol       Date:  2020-12-08       Impact factor: 20.543

Review 3.  When are idiopathic and clonal cytopenias of unknown significance (ICUS or CCUS)?

Authors:  Afaf E W G Osman
Journal:  Hematology Am Soc Hematol Educ Program       Date:  2021-12-10

Review 4.  CHIP: is clonal hematopoiesis a surrogate for aging and other disease?

Authors:  Lukasz P Gondek
Journal:  Hematology Am Soc Hematol Educ Program       Date:  2021-12-10

Review 5.  Clonal hematopoiesis and bone marrow failure syndromes.

Authors:  Sergiu Pasca; Lukasz P Gondek
Journal:  Best Pract Res Clin Haematol       Date:  2021-05-25       Impact factor: 3.670

Review 6.  Clonal Hematopoiesis: From Mechanisms to Clinical Intervention.

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8.  Molecular markers demonstrate diagnostic and prognostic value in the evaluation of myelodysplastic syndromes in cytopenia patients.

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Journal:  Blood Cancer J       Date:  2022-01-25       Impact factor: 11.037

9.  Mutation analysis links angioimmunoblastic T-cell lymphoma to clonal hematopoiesis and smoking.

Authors:  Shuhua Cheng; Wei Zhang; Giorgio Inghirami; Wayne Tam
Journal:  Elife       Date:  2021-09-29       Impact factor: 8.140

10.  The potential of combined mutation sequencing of plasma circulating cell-free DNA and matched white blood cells for treatment response prediction.

Authors:  Paul van der Leest; Ed Schuuring
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