Literature DB >> 28612220

Individual outcome prediction for myelodysplastic syndrome (MDS) and secondary acute myeloid leukemia from MDS after allogeneic hematopoietic cell transplantation.

Michael Heuser1, Razif Gabdoulline2, Patrick Löffeld2, Vera Dobbernack2, Henriette Kreimeyer2, Mira Pankratz2, Madita Flintrop2, Alessandro Liebich2, Sabrina Klesse2, Victoria Panagiota2, Michael Stadler2, Martin Wichmann2, Rabia Shahswar2, Uwe Platzbecker3, Christian Thiede3, Thomas Schroeder4, Guido Kobbe4, Robert Geffers5, Brigitte Schlegelberger6, Gudrun Göhring6, Hans-Heinrich Kreipe7, Ulrich Germing4, Arnold Ganser2, Nicolaus Kröger8, Christian Koenecke2, Felicitas Thol2.   

Abstract

We integrated molecular data with available prognostic factors in patients undergoing allogeneic hematopoietic cell transplantation (alloHCT) for myelodysplastic syndrome (MDS) or secondary acute myeloid leukemia (sAML) from MDS to evaluate their impact on prognosis. Three hundred four patients were sequenced for mutations in 54 genes. We used a Cox multivariate model and competing risk analysis with internal and cross validation to identify factors prognostic of overall survival (OS), cumulative incidence of relapse (CIR), and non-relapse mortality (NRM). In multivariate analysis, mutated NRAS, U2AF1, IDH2, and TP53 and/or a complex karyotype were significant prognostic markers for OS besides age above 60 years, remission status, IPSS-R cytogenetic risk, HCT-CI > 2 and female donor sex. Mutated NRAS, IDH1, EZH2, and TP53 and/or a complex karyotype were genetic aberrations with prognostic impact on CIR. No molecular markers were associated with the risk of NRM. The inclusion of molecular information results in better risk prediction models for OS and CIR when assessed by the Akaike information criterion. Internal cross validation confirmed the robustness of our comprehensive risk model. In summary, we propose to combine molecular, cytogenetic, and patient- and transplantation-associated risk factors into a comprehensive risk model to provide personalized predictions of outcome after alloHCT.

Entities:  

Keywords:  AML; Allogeneic HCT; Calculator; MDS; Mutations; Personalized predictions; Prognosis

Mesh:

Year:  2017        PMID: 28612220     DOI: 10.1007/s00277-017-3027-5

Source DB:  PubMed          Journal:  Ann Hematol        ISSN: 0939-5555            Impact factor:   3.673


  18 in total

Review 1.  Mutation-Driven Therapy in MDS.

Authors:  David M Swoboda; David A Sallman
Journal:  Curr Hematol Malig Rep       Date:  2019-12       Impact factor: 3.952

Review 2.  When to obtain genomic data in acute myeloid leukemia (AML) and which mutations matter.

Authors:  Gregory W Roloff; Elizabeth A Griffiths
Journal:  Hematology Am Soc Hematol Educ Program       Date:  2018-11-30

Review 3.  Treatments targeting MDS genetics: a fool's errand?

Authors:  Amy E DeZern
Journal:  Hematology Am Soc Hematol Educ Program       Date:  2018-11-30

4.  Measurable residual disease monitoring by NGS before allogeneic hematopoietic cell transplantation in AML.

Authors:  Felicitas Thol; Razif Gabdoulline; Alessandro Liebich; Piroska Klement; Johannes Schiller; Christian Kandziora; Lothar Hambach; Michael Stadler; Christian Koenecke; Madita Flintrop; Mira Pankratz; Martin Wichmann; Blerina Neziri; Konstantin Büttner; Bennet Heida; Sabrina Klesse; Anuhar Chaturvedi; Arnold Kloos; Gudrun Göhring; Brigitte Schlegelberger; Verena I Gaidzik; Lars Bullinger; Walter Fiedler; Albert Heim; Iyas Hamwi; Matthias Eder; Jürgen Krauter; Richard F Schlenk; Peter Paschka; Konstanze Döhner; Hartmut Döhner; Arnold Ganser; Michael Heuser
Journal:  Blood       Date:  2018-09-06       Impact factor: 22.113

Review 5.  When to obtain genomic data in acute myeloid leukemia (AML) and which mutations matter.

Authors:  Gregory W Roloff; Elizabeth A Griffiths
Journal:  Blood Adv       Date:  2018-11-13

6.  Posttransplantation MRD monitoring in patients with AML by next-generation sequencing using DTA and non-DTA mutations.

Authors:  Michael Heuser; Bennet Heida; Konstantin Büttner; Clara Philine Wienecke; Katrin Teich; Carolin Funke; Maximilian Brandes; Piroska Klement; Alessandro Liebich; Martin Wichmann; Blerina Neziri; Anuhar Chaturvedi; Arnold Kloos; Konstantinos Mintzas; Verena I Gaidzik; Peter Paschka; Lars Bullinger; Walter Fiedler; Albert Heim; Wolfram Puppe; Jürgen Krauter; Konstanze Döhner; Hartmut Döhner; Arnold Ganser; Michael Stadler; Lothar Hambach; Razif Gabdoulline; Felicitas Thol
Journal:  Blood Adv       Date:  2021-05-11

7.  Do next-generation sequencing results drive diagnostic and therapeutic decisions in MDS?

Authors:  Felicitas Thol; Uwe Platzbecker
Journal:  Blood Adv       Date:  2019-11-12

8.  Do next-generation sequencing results drive diagnostic and therapeutic decisions in MDS?

Authors:  Guillermo F Sanz; Mariam Ibañez; Esperanza Such
Journal:  Blood Adv       Date:  2019-11-12

9.  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

10.  Conditioning intensity in secondary AML with prior myelodysplastic syndrome/myeloproliferative disorders: an EBMT ALWP study.

Authors:  Salyka Sengsayadeth; Katie S Gatwood; Ariane Boumendil; Myriam Labopin; Jürgen Finke; Arnold Ganser; Matthias Stelljes; Gerhard Ehninger; Dietrich Beelen; Dietger Niederwieser; Didier Blaise; Peter Dreger; Ghulam Mufti; Patrice Chevallier; Audrey Mailhol; Maria H Gilleece; Norbert Gorin; Jordi Esteve; Fabio Ciceri; Frederic Baron; Christoph Schmid; Sebastian Giebel; Mohamad Mohty; Bipin N Savani; Arnon Nagler
Journal:  Blood Adv       Date:  2018-08-28
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