Literature DB >> 29064026

Models of Prognostication in Chronic Myelomonocytic Leukemia.

Francesco Onida1.   

Abstract

PURPOSE OF REVIEW: Within the group of the myelodysplastic/myeloproliferative overlap neoplasms of the adult age, chronic myelomonocytic leukemia (CMML) is characterized by an extremely variable clinical course. This review aims to cover over the years main advancements in the identification of CMML clinical and biological features associated to survival outcomes and the consequent development of prognostic tools for individual patient treatment decision making. RECENT
FINDINGS: According to the last WHO classification of myeloid neoplasms, three subgroups of patients may be recognized on the base of percentage of blasts in marrow and in peripheral blood (CMML-0, CMML-1, and CMML-2), with corresponding decreasing life-expectations. Nonetheless, in each of the subgroups, prominent disparateness of biological characteristics associates to a large heterogeneity of clinical presentation, with very different prognostic implications. Recent findings indicate that the integration of clinical and molecular data appears to provide the most helpful prognostic information. Together with an orderly enlightenment for the increasing conception of specific disease characteristics, this review offers a comprehensive and thoughtful summary of the prognostic models developed over the last three decades for CMML.

Entities:  

Keywords:  CMML; Chronic myelomonocytic leukemia; Classification; Diagnosis; MDS/MPN; Prognosis; Prognostic model; Prognostication; Risk stratification; Subclassification

Mesh:

Year:  2017        PMID: 29064026     DOI: 10.1007/s11899-017-0416-8

Source DB:  PubMed          Journal:  Curr Hematol Malig Rep        ISSN: 1558-8211            Impact factor:   3.952


  47 in total

1.  New prognostic parameters for chronic myelomonocytic leukemia.

Authors:  Ulrich Germing; Corinna Strupp; Manuel Aivado; Norbert Gattermann
Journal:  Blood       Date:  2002-07-15       Impact factor: 22.113

Review 2.  Chronic myelomonocytic leukemia: 2013 update on diagnosis, risk stratification, and management.

Authors:  Sameer A Parikh; Ayalew Tefferi
Journal:  Am J Hematol       Date:  2013-11       Impact factor: 10.047

3.  Prognostic factors and scoring systems in chronic myelomonocytic leukemia: a retrospective analysis of 213 patients.

Authors:  Francesco Onida; Hagop M Kantarjian; Terry L Smith; Greg Ball; Michael J Keating; Elihu H Estey; Armand B Glassman; Maher Albitar; Monica I Kwari; Miloslav Beran
Journal:  Blood       Date:  2002-02-01       Impact factor: 22.113

4.  Monosomal karyotype predicts adverse prognosis in patients diagnosed with chronic myelomonocytic leukemia: a single-institution experience.

Authors:  Aysha Alsahlawi; Hassan Alkhateeb; Mrinal Patnaik; Kebede Begna; Michelle Elliott; William J Hogan; Mark Litzow; Aref Al-Kali
Journal:  Clin Lymphoma Myeloma Leuk       Date:  2014-06-10

5.  Diagnosis and management of chronic myelomonocytic leukemia.

Authors:  Francesco Onida; Miloslav Beran
Journal:  Curr Hematol Malig Rep       Date:  2008-01       Impact factor: 3.952

Review 6.  Management recommendations for chronic myelomonocytic leukemia: consensus statements from the SIE, SIES, GITMO groups.

Authors:  Francesco Onida; Giovanni Barosi; Giuseppe Leone; Luca Malcovati; Enrica Morra; Valeria Santini; Giorgina Specchia; Sante Tura
Journal:  Haematologica       Date:  2013-09       Impact factor: 9.941

7.  Chronic myelomonocytic leukemia: natural history and prognostic determinants.

Authors:  A Tefferi; H C Hoagland; T M Therneau; R V Pierre
Journal:  Mayo Clin Proc       Date:  1989-10       Impact factor: 7.616

8.  Mayo prognostic model for WHO-defined chronic myelomonocytic leukemia: ASXL1 and spliceosome component mutations and outcomes.

Authors:  M M Patnaik; E Padron; R R LaBorde; T L Lasho; C M Finke; C A Hanson; J M Hodnefield; R A Knudson; R P Ketterling; A Al-kali; A Pardanani; N A Ali; R S Komrokji; R S Komroji; A Tefferi
Journal:  Leukemia       Date:  2013-03-27       Impact factor: 11.528

9.  Myelodysplastic syndromes: a scoring system with prognostic significance.

Authors:  G J Mufti; J R Stevens; D G Oscier; T J Hamblin; D Machin
Journal:  Br J Haematol       Date:  1985-03       Impact factor: 6.998

10.  Risk assessment in chronic myelomonocytic leukemia (CMML).

Authors:  U Germing; A Kündgen; N Gattermann
Journal:  Leuk Lymphoma       Date:  2004-07
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  3 in total

1.  A prognostic score including mutation profile and clinical features for patients with CMML undergoing stem cell transplantation.

Authors:  Nico Gagelmann; Anita Badbaran; Dietrich W Beelen; Rachel B Salit; Friedrich Stölzel; Christina Rautenberg; Heiko Becker; Aleksandar Radujkovic; Victoria Panagiota; Rashit Bogdanov; Maximilian Christopeit; Yong Park; Olivier Nibourel; Thomas Luft; Michael Koldehoff; Maarten Corsten; Michael Heuser; Jürgen Finke; Guido Kobbe; Uwe Platzbecker; Marie Robin; Bart L Scott; Nicolaus Kröger
Journal:  Blood Adv       Date:  2021-03-23

2.  Efficacy and Safety of Hypomethylating Agents in Chronic Myelomonocytic Leukemia: A Single-Arm Meta-analysis.

Authors:  Xinhui Zheng; Liwei Lv; Xiangjun Li; Erlie Jiang
Journal:  Glob Med Genet       Date:  2022-04-08

Review 3.  Proposed diagnostic criteria for classical chronic myelomonocytic leukemia (CMML), CMML variants and pre-CMML conditions.

Authors:  Peter Valent; Attilio Orazi; Michael R Savona; Mrinal M Patnaik; Francesco Onida; Arjan A van de Loosdrecht; Detlef Haase; Torsten Haferlach; Chiara Elena; Lisa Pleyer; Wolfgang Kern; Tea Pemovska; Gregory I Vladimer; Julie Schanz; Alexandra Keller; Michael Lübbert; Thomas Lion; Karl Sotlar; Andreas Reiter; Theo De Witte; Michael Pfeilstöcker; Klaus Geissler; Eric Padron; Michael Deininger; Alberto Orfao; Hans-Peter Horny; Peter L Greenberg; Daniel A Arber; Luca Malcovati; John M Bennett
Journal:  Haematologica       Date:  2019-05-02       Impact factor: 9.941

  3 in total

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