Literature DB >> 33660195

Genomic Landscape and Risk Stratification in Chronic Myelomonocytic Leukemia.

Anthony Hunter1, Eric Padron2.   

Abstract

PURPOSE: The advent of next-generation sequencing has allowed for the annotation of a vast array of recurrent somatic mutations across human malignancies, ushering in a new era of precision oncology. Chronic myelomonocytic leukemia is recognized as a myelodysplastic/myeloproliferative neoplasm and displays heterogenous clinical and genetic features. Herein, we review what is currently understood regarding the genomic landscape of this disease and discuss how somatic mutations have impacted current risk stratification methods. RECENT
FINDINGS: Genomic studies in chronic myelomonocytic leukemia have identified a characteristic spectrum of cytogenetic and molecular abnormalities. Chromosomal abnormalities are detected in ~30% of patients and somatic gene mutations in up to 90% of patients, most commonly in TET2, SRSF2, and ASXL1. While cytogenetic abnormalities have long been known to impact the prognosis of myeloid neoplasms, recent studies have identified that somatic mutations impact prognosis independent of cytogenetic and clinical variables. This is best exemplified by mutations in ASXL1, which have been uniformly associated with inferior survival. These findings have led to the development of three molecularly inspired prognostic models, in an attempt to more accurately prognosticate in the disease. Our understanding of the genomic landscape of chronic myelomonocytic leukemia continues to evolve, with somatic mutations demonstrating an expanding role in diagnosis, risk stratification, and therapeutic decision-making. Given these findings, molecular profiling by next-generation sequencing should be considered standard of care in all patients.

Entities:  

Keywords:  CMML; Chronic myelomonocytic leukemia; MDS/MPN overlap syndrome; Molecular genetics; Risk stratification

Year:  2021        PMID: 33660195     DOI: 10.1007/s11899-021-00613-9

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


  71 in total

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Journal:  Blood       Date:  2016-04-11       Impact factor: 22.113

5.  SRSF2 mutations in 275 cases with chronic myelomonocytic leukemia (CMML).

Authors:  Manja Meggendorfer; Andreas Roller; Torsten Haferlach; Christiane Eder; Frank Dicker; Vera Grossmann; Alexander Kohlmann; Tamara Alpermann; Kenichi Yoshida; Seishi Ogawa; H Phillip Koeffler; Wolfgang Kern; Claudia Haferlach; Susanne Schnittger
Journal:  Blood       Date:  2012-08-23       Impact factor: 22.113

6.  Prognostic score including gene mutations in chronic myelomonocytic leukemia.

Authors:  Raphaël Itzykson; Olivier Kosmider; Aline Renneville; Véronique Gelsi-Boyer; Manja Meggendorfer; Margot Morabito; Céline Berthon; Lionel Adès; Pierre Fenaux; Odile Beyne-Rauzy; Norbert Vey; Thorsten Braun; Torsten Haferlach; François Dreyfus; Nicholas C P Cross; Claude Preudhomme; Olivier A Bernard; Michaela Fontenay; William Vainchenker; Susanne Schnittger; Daniel Birnbaum; Nathalie Droin; Eric Solary
Journal:  J Clin Oncol       Date:  2013-05-20       Impact factor: 44.544

7.  Molecular and prognostic correlates of cytogenetic abnormalities in chronic myelomonocytic leukemia: a Mayo Clinic-French Consortium Study.

Authors:  Emnet A Wassie; Raphael Itzykson; Terra L Lasho; Olivier Kosmider; Christy M Finke; Curtis A Hanson; Rhett P Ketterling; Eric Solary; Ayalew Tefferi; Mrinal M Patnaik
Journal:  Am J Hematol       Date:  2014-09-26       Impact factor: 10.047

8.  Integrating clinical features and genetic lesions in the risk assessment of patients with chronic myelomonocytic leukemia.

Authors:  Chiara Elena; Anna Gallì; Esperanza Such; Manja Meggendorfer; Ulrich Germing; Ettore Rizzo; Jose Cervera; Elisabetta Molteni; Annette Fasan; Esther Schuler; Ilaria Ambaglio; Maria Lopez-Pavia; Silvia Zibellini; Andrea Kuendgen; Erica Travaglino; Reyes Sancho-Tello; Silvia Catricalà; Ana I Vicente; Torsten Haferlach; Claudia Haferlach; Guillermo F Sanz; Luca Malcovati; Mario Cazzola
Journal:  Blood       Date:  2016-07-06       Impact factor: 22.113

9.  Clinical and biological implications of driver mutations in myelodysplastic syndromes.

Authors:  Elli Papaemmanuil; Moritz Gerstung; Luca Malcovati; Sudhir Tauro; Gunes Gundem; Peter Van Loo; Chris J Yoon; Peter Ellis; David C Wedge; Andrea Pellagatti; Adam Shlien; Michael John Groves; Simon A Forbes; Keiran Raine; Jon Hinton; Laura J Mudie; Stuart McLaren; Claire Hardy; Calli Latimer; Matteo G Della Porta; Sarah O'Meara; Ilaria Ambaglio; Anna Galli; Adam P Butler; Gunilla Walldin; Jon W Teague; Lynn Quek; Alex Sternberg; Carlo Gambacorti-Passerini; Nicholas C P Cross; Anthony R Green; Jacqueline Boultwood; Paresh Vyas; Eva Hellstrom-Lindberg; David Bowen; Mario Cazzola; Michael R Stratton; Peter J Campbell
Journal:  Blood       Date:  2013-09-12       Impact factor: 22.113

10.  An international data set for CMML validates prognostic scoring systems and demonstrates a need for novel prognostication strategies.

Authors:  E Padron; G Garcia-Manero; M M Patnaik; R Itzykson; T Lasho; A Nazha; R K Rampal; M E Sanchez; E Jabbour; N H Al Ali; Z Thompson; S Colla; P Fenaux; H M Kantarjian; S Killick; M A Sekeres; A F List; F Onida; R S Komrokji; A Tefferi; E Solary
Journal:  Blood Cancer J       Date:  2015-07-31       Impact factor: 11.037

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  1 in total

1.  Prognostic implication of early minimal residual disease evaluation in patients with chronic myelomonocytic leukemia.

Authors:  Lulu Wang; Rongrong Chen; Li Li; Lixia Zhu; Xianbo Huang; Xiujin Ye
Journal:  Am J Cancer Res       Date:  2022-05-15       Impact factor: 5.942

  1 in total

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