Literature DB >> 23619563

Mutations and prognosis in primary myelofibrosis.

A M Vannucchi1, T L Lasho, P Guglielmelli, F Biamonte, A Pardanani, A Pereira, C Finke, J Score, N Gangat, C Mannarelli, R P Ketterling, G Rotunno, R A Knudson, M C Susini, R R Laborde, A Spolverini, A Pancrazzi, L Pieri, R Manfredini, E Tagliafico, R Zini, A Jones, K Zoi, A Reiter, A Duncombe, D Pietra, E Rumi, F Cervantes, G Barosi, M Cazzola, N C P Cross, A Tefferi.   

Abstract

Patient outcome in primary myelofibrosis (PMF) is significantly influenced by karyotype. We studied 879 PMF patients to determine the individual and combinatorial prognostic relevance of somatic mutations. Analysis was performed in 483 European patients and the seminal observations were validated in 396 Mayo Clinic patients. Samples from the European cohort, collected at time of diagnosis, were analyzed for mutations in ASXL1, SRSF2, EZH2, TET2, DNMT3A, CBL, IDH1, IDH2, MPL and JAK2. Of these, ASXL1, SRSF2 and EZH2 mutations inter-independently predicted shortened survival. However, only ASXL1 mutations (HR: 2.02; P<0.001) remained significant in the context of the International Prognostic Scoring System (IPSS). These observations were validated in the Mayo Clinic cohort where mutation and survival analyses were performed from time of referral. ASXL1, SRSF2 and EZH2 mutations were independently associated with poor survival, but only ASXL1 mutations held their prognostic relevance (HR: 1.4; P=0.04) independent of the Dynamic IPSS (DIPSS)-plus model, which incorporates cytogenetic risk. In the European cohort, leukemia-free survival was negatively affected by IDH1/2, SRSF2 and ASXL1 mutations and in the Mayo cohort by IDH1 and SRSF2 mutations. Mutational profiling for ASXL1, EZH2, SRSF2 and IDH identifies PMF patients who are at risk for premature death or leukemic transformation.

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Year:  2013        PMID: 23619563     DOI: 10.1038/leu.2013.119

Source DB:  PubMed          Journal:  Leukemia        ISSN: 0887-6924            Impact factor:   11.528


  246 in total

Review 1.  What Do Molecular Tests Add to Prognostic Stratification in MF: Is It Time to Add These to Our Clinical Practice?

Authors:  Paola Guglielmelli; Giada Rotunno; Annalisa Pacilli; Alessandro Maria Vannucchi
Journal:  Curr Hematol Malig Rep       Date:  2015-12       Impact factor: 3.952

2.  Additional mutations in SRSF2, ASXL1 and/or RUNX1 identify a high-risk group of patients with KIT D816V(+) advanced systemic mastocytosis.

Authors:  M Jawhar; J Schwaab; S Schnittger; M Meggendorfer; M Pfirrmann; K Sotlar; H-P Horny; G Metzgeroth; S Kluger; N Naumann; C Haferlach; T Haferlach; P Valent; W-K Hofmann; A Fabarius; N C P Cross; A Reiter
Journal:  Leukemia       Date:  2015-10-14       Impact factor: 11.528

3.  The landscape of myeloid neoplasms with isochromosome 17q discloses a specific mutation profile and is characterized by an accumulation of prognostically adverse molecular markers.

Authors:  M Meggendorfer; C Haferlach; M Zenger; K Macijewski; W Kern; T Haferlach
Journal:  Leukemia       Date:  2016-02-09       Impact factor: 11.528

4.  The number of prognostically detrimental mutations and prognosis in primary myelofibrosis: an international study of 797 patients.

Authors:  P Guglielmelli; T L Lasho; G Rotunno; J Score; C Mannarelli; A Pancrazzi; F Biamonte; A Pardanani; K Zoi; A Reiter; A Duncombe; T Fanelli; D Pietra; E Rumi; C Finke; N Gangat; R P Ketterling; R A Knudson; C A Hanson; A Bosi; A Pereira; R Manfredini; F Cervantes; G Barosi; M Cazzola; N C P Cross; A M Vannucchi; A Tefferi
Journal:  Leukemia       Date:  2014-02-19       Impact factor: 11.528

Review 5.  Janus kinase inhibitors and allogeneic stem cell transplantation for myelofibrosis.

Authors:  Vikas Gupta; Jason Gotlib; Jerald P Radich; Nicolaus M Kröger; Damiano Rondelli; Srdan Verstovsek; H Joachim Deeg
Journal:  Biol Blood Marrow Transplant       Date:  2014-03-27       Impact factor: 5.742

6.  Array comparative genomic hybridization and sequencing of 23 genes in 80 patients with myelofibrosis at chronic or acute phase.

Authors:  Mandy Brecqueville; Jérôme Rey; Raynier Devillier; Arnaud Guille; Rémi Gillet; José Adélaide; Véronique Gelsi-Boyer; Christine Arnoulet; Max Chaffanet; Marie-Joelle Mozziconacci; Norbert Vey; Daniel Birnbaum; Anne Murati
Journal:  Haematologica       Date:  2013-08-30       Impact factor: 9.941

Review 7.  Historical views, conventional approaches, and evolving management strategies for myeloproliferative neoplasms.

Authors:  Brady L Stein; Jason Gotlib; Murat Arcasoy; Marie Huong Nguyen; Neil Shah; Alison Moliterno; Catriona Jamieson; Daniel A Pollyea; Bart Scott; Martha Wadleigh; Ross Levine; Rami Komrokji; Rebecca Klisovic; Krishna Gundabolu; Patricia Kropf; Meir Wetzler; Stephen T Oh; Raul Ribeiro; Rita Paschal; Sanjay Mohan; Nikolai Podoltsev; Josef Prchal; Moshe Talpaz; David Snyder; Srdan Verstovsek; Ruben A Mesa
Journal:  J Natl Compr Canc Netw       Date:  2015-04       Impact factor: 11.908

Review 8.  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 9.  Extramedullary blastic transformation of primary myelofibrosis in the form of disseminated myeloid sarcoma: a case report and review of the literature.

Authors:  Giacomo Coltro; Francesco Mannelli; Federica Vergoni; Raffaella Santi; Daniela Massi; Luisa Margherita Siliani; Antonella Marzullo; Stefania Bonifacio; Elisabetta Pelo; Annalisa Pacilli; Chiara Paoli; Annalisa Franci; Laura Calabresi; Alberto Bosi; Alessandro Maria Vannucchi; Paola Guglielmelli
Journal:  Clin Exp Med       Date:  2020-02-17       Impact factor: 3.984

Review 10.  Prognosis of Primary Myelofibrosis in the Genomic Era.

Authors:  Prithviraj Bose; Srdan Verstovsek
Journal:  Clin Lymphoma Myeloma Leuk       Date:  2016-08
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