Literature DB >> 34889424

Have we reached a molecular era in myelodysplastic syndromes?

Maria Teresa Voso1,2, Carmelo Gurnari1,3.   

Abstract

Myelodysplastic syndromes (MDS) are characterized by heterogeneous biological and clinical characteristics, leading to variable outcomes. The availability of sophisticated platforms of genome sequencing allowed the discovery of recurrently mutated genes, which have led to a new era in MDS. This is reflected by the 2016 update of the World Health Organization classification, in which the criteria to define MDS with ringed sideroblasts include the presence of SF3B1 mutations. Further, the detection of somatic mutations in myeloid genes at high variant allele frequency guides the diagnostic algorithm in cases with cytopenias, unclear dysplastic changes, and normal karyotypes, supporting MDS over alternative diagnoses. SF3B1 mutations have been shown to play a positive prognostic role, while mutations in ASXL1, EZH2, RUNX1, and TP53 have been associated with a dismal prognosis. This is particularly relevant in lower- and intermediate-risk disease, in which a higher number of mutations and/or the presence of "unfavorable" somatic mutations may support the use of disease-modifying treatments. In the near future, the incorporation of mutation profiles in currently used prognostication systems, also taking into consideration the classical patient clinical variables (including age and comorbidities), will support a more precise disease stratification, eg, the assignment to targeted treatment approaches or to allogeneic stem cell transplantation in younger patients.
Copyright © 2021 by The American Society of Hematology.

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Year:  2021        PMID: 34889424      PMCID: PMC8791166          DOI: 10.1182/hematology.2021000276

Source DB:  PubMed          Journal:  Hematology Am Soc Hematol Educ Program        ISSN: 1520-4383


  52 in total

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Authors:  Giulio Genovese; Anna K Kähler; Robert E Handsaker; Johan Lindberg; Samuel A Rose; Samuel F Bakhoum; Kimberly Chambert; Eran Mick; Benjamin M Neale; Menachem Fromer; Shaun M Purcell; Oscar Svantesson; Mikael Landén; Martin Höglund; Sören Lehmann; Stacey B Gabriel; Jennifer L Moran; Eric S Lander; Patrick F Sullivan; Pamela Sklar; Henrik Grönberg; Christina M Hultman; Steven A McCarroll
Journal:  N Engl J Med       Date:  2014-11-26       Impact factor: 91.245

2.  Frequent pathway mutations of splicing machinery in myelodysplasia.

Authors:  Kenichi Yoshida; Masashi Sanada; Yuichi Shiraishi; Daniel Nowak; Yasunobu Nagata; Ryo Yamamoto; Yusuke Sato; Aiko Sato-Otsubo; Ayana Kon; Masao Nagasaki; George Chalkidis; Yutaka Suzuki; Masashi Shiosaka; Ryoichiro Kawahata; Tomoyuki Yamaguchi; Makoto Otsu; Naoshi Obara; Mamiko Sakata-Yanagimoto; Ken Ishiyama; Hiraku Mori; Florian Nolte; Wolf-Karsten Hofmann; Shuichi Miyawaki; Sumio Sugano; Claudia Haferlach; H Phillip Koeffler; Lee-Yung Shih; Torsten Haferlach; Shigeru Chiba; Hiromitsu Nakauchi; Satoru Miyano; Seishi Ogawa
Journal:  Nature       Date:  2011-09-11       Impact factor: 49.962

Review 3.  The 2016 revision to the World Health Organization classification of myeloid neoplasms and acute leukemia.

Authors:  Daniel A Arber; Attilio Orazi; Robert Hasserjian; Jürgen Thiele; Michael J Borowitz; Michelle M Le Beau; Clara D Bloomfield; Mario Cazzola; James W Vardiman
Journal:  Blood       Date:  2016-04-11       Impact factor: 22.113

4.  Time-dependent prognostic scoring system for predicting survival and leukemic evolution in myelodysplastic syndromes.

Authors:  Luca Malcovati; Ulrich Germing; Andrea Kuendgen; Matteo G Della Porta; Cristiana Pascutto; Rosangela Invernizzi; Aristoteles Giagounidis; Barbara Hildebrandt; Paolo Bernasconi; Sabine Knipp; Corinna Strupp; Mario Lazzarino; Carlo Aul; Mario Cazzola
Journal:  J Clin Oncol       Date:  2007-08-10       Impact factor: 44.544

5.  Durable Remissions with Ivosidenib in IDH1-Mutated Relapsed or Refractory AML.

Authors:  Courtney D DiNardo; Eytan M Stein; Stéphane de Botton; Gail J Roboz; Jessica K Altman; Alice S Mims; Ronan Swords; Robert H Collins; Gabriel N Mannis; Daniel A Pollyea; Will Donnellan; Amir T Fathi; Arnaud Pigneux; Harry P Erba; Gabrielle T Prince; Anthony S Stein; Geoffrey L Uy; James M Foran; Elie Traer; Robert K Stuart; Martha L Arellano; James L Slack; Mikkael A Sekeres; Christophe Willekens; Sung Choe; Hongfang Wang; Vickie Zhang; Katharine E Yen; Stephanie M Kapsalis; Hua Yang; David Dai; Bin Fan; Meredith Goldwasser; Hua Liu; Sam Agresta; Bin Wu; Eyal C Attar; Martin S Tallman; Richard M Stone; Hagop M Kantarjian
Journal:  N Engl J Med       Date:  2018-06-02       Impact factor: 91.245

6.  Incorporation of molecular data into the Revised International Prognostic Scoring System in treated patients with myelodysplastic syndromes.

Authors:  A Nazha; M Narkhede; T Radivoyevitch; D J Seastone; B J Patel; A T Gerds; S Mukherjee; M Kalaycio; A Advani; B Przychodzen; H E Carraway; J P Maciejewski; M A Sekeres
Journal:  Leukemia       Date:  2016-05-20       Impact factor: 11.528

7.  Enasidenib in mutant IDH2 relapsed or refractory acute myeloid leukemia.

Authors:  Eytan M Stein; Courtney D DiNardo; Daniel A Pollyea; Amir T Fathi; Gail J Roboz; Jessica K Altman; Richard M Stone; Daniel J DeAngelo; Ross L Levine; Ian W Flinn; Hagop M Kantarjian; Robert Collins; Manish R Patel; Arthur E Frankel; Anthony Stein; Mikkael A Sekeres; Ronan T Swords; Bruno C Medeiros; Christophe Willekens; Paresh Vyas; Alessandra Tosolini; Qiang Xu; Robert D Knight; Katharine E Yen; Sam Agresta; Stephane de Botton; Martin S Tallman
Journal:  Blood       Date:  2017-06-06       Impact factor: 25.476

8.  Clonal evolution in myelodysplastic syndromes.

Authors:  Pedro da Silva-Coelho; Leonie I Kroeze; Kenichi Yoshida; Theresia N Koorenhof-Scheele; Ruth Knops; Louis T van de Locht; Aniek O de Graaf; Marion Massop; Sarah Sandmann; Martin Dugas; Marian J Stevens-Kroef; Jaroslav Cermak; Yuichi Shiraishi; Kenichi Chiba; Hiroko Tanaka; Satoru Miyano; Theo de Witte; Nicole M A Blijlevens; Petra Muus; Gerwin Huls; Bert A van der Reijden; Seishi Ogawa; Joop H Jansen
Journal:  Nat Commun       Date:  2017-04-21       Impact factor: 14.919

9.  Classification and Personalized Prognostic Assessment on the Basis of Clinical and Genomic Features in Myelodysplastic Syndromes.

Authors:  Matteo Bersanelli; Erica Travaglino; Manja Meggendorfer; Tommaso Matteuzzi; Claudia Sala; Ettore Mosca; Chiara Chiereghin; Noemi Di Nanni; Matteo Gnocchi; Matteo Zampini; Marianna Rossi; Giulia Maggioni; Alberto Termanini; Emanuele Angelucci; Massimo Bernardi; Lorenza Borin; Benedetto Bruno; Francesca Bonifazi; Valeria Santini; Andrea Bacigalupo; Maria Teresa Voso; Esther Oliva; Marta Riva; Marta Ubezio; Lucio Morabito; Alessia Campagna; Claudia Saitta; Victor Savevski; Enrico Giampieri; Daniel Remondini; Francesco Passamonti; Fabio Ciceri; Niccolò Bolli; Alessandro Rambaldi; Wolfgang Kern; Shahram Kordasti; Francesc Sole; Laura Palomo; Guillermo Sanz; Armando Santoro; Uwe Platzbecker; Pierre Fenaux; Luciano Milanesi; Torsten Haferlach; Gastone Castellani; Matteo G Della Porta
Journal:  J Clin Oncol       Date:  2021-02-04       Impact factor: 44.544

10.  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

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  3 in total

1.  A Novel Prognostic Scoring Model for Myelodysplastic Syndrome Patients With SF3B1 Mutation.

Authors:  Liya Ma; Bin Liang; Huixian Hu; Wenli Yang; Shengyun Lin; Lihong Cao; Kongfei Li; Yuemin Kuang; Lihong Shou; Weimei Jin; Jianping Lan; Xingnong Ye; Jing Le; Huyi Lei; Jiaping Fu; Ying Lin; Wenhua Jiang; Zhiying Zheng; Songfu Jiang; Lijuan Fu; Chuanyong Su; XiuFeng Yin; Lixia Liu; Jiayue Qin; Jie Jin; Shenxian Qian; Guifang Ouyang; Hongyan Tong
Journal:  Front Oncol       Date:  2022-06-27       Impact factor: 5.738

Review 2.  De Novo and Therapy-Related Myelodysplastic Syndromes: Analogies and Differences.

Authors:  Giuseppe Leone; Emiliano Fabiani; Maria Teresa Voso
Journal:  Mediterr J Hematol Infect Dis       Date:  2022-05-01       Impact factor: 3.122

Review 3.  Personalized Risk Schemes and Machine Learning to Empower Genomic Prognostication Models in Myelodysplastic Syndromes.

Authors:  Hussein Awada; Carmelo Gurnari; Arda Durmaz; Hassan Awada; Simona Pagliuca; Valeria Visconte
Journal:  Int J Mol Sci       Date:  2022-03-03       Impact factor: 5.923

  3 in total

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