Literature DB >> 21148331

RUNX1 mutations are frequent in de novo AML with noncomplex karyotype and confer an unfavorable prognosis.

Susanne Schnittger1, Frank Dicker, Wolfgang Kern, Nicole Wendland, Jana Sundermann, Tamara Alpermann, Claudia Haferlach, Torsten Haferlach.   

Abstract

Analyses of 164 RUNX1 mutations (RUNX1mut) in 147 of 449 patients (32.7%) with normal karyotype or noncomplex chromosomal imbalances were performed. RUNX1mut were most frequent in acute myeloid leukemia French-American-British classification M0 (65.2%) followed by M2 (32.4%) and M1 (30.2%). Considering cytogenetics, RUNX1mut were most frequent in cases with +13 (27 of 30, 90%), whereas frequencies were similar in other cytogenetic groups (26%-36%). The molecular genetic markers most frequently associated with RUNX1mut were partial tandem duplication in the MLL gene (19.7%), internal tandem duplication in the FLT3 gene (FLT3-ITD; 16.3%), and NRAS mutations (9.5%). Patients with RUNX1mut had shorter overall and event-free survival compared with RUNX1 wild-type cases (median, 378 days vs not reached, P = .003; and median, 285 vs 450 days, P = .003, respectively). In addition, it was shown that the adverse effect of RUNX1 was independent of the adverse effect of FLT3-ITD as well as of the high frequency of prognostically favorable NPM1mut and CEBPAmut in the RUNX1wt group. No effect of the type or localization of the individual RUNX1 mutations was observed. Multivariate analysis showed independent prognostic relevance for overall survival for RUNX1mut (P = .029), FLT3-ITD (P = .003), age (P < .001), and white blood cell count (P < .002).

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Year:  2010        PMID: 21148331     DOI: 10.1182/blood-2009-11-255976

Source DB:  PubMed          Journal:  Blood        ISSN: 0006-4971            Impact factor:   22.113


  91 in total

1.  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

2.  Genotypic and clinical heterogeneity within NCCN favorable-risk acute myeloid leukemia.

Authors:  Stephen A Strickland; Aaron C Shaver; Michael Byrne; Robert D Daber; P Brent Ferrell; David R Head; Sanjay R Mohan; Claudio A Mosse; Tamara K Moyo; Thomas P Stricker; Cindy Vnencak-Jones; Michael R Savona; Adam C Seegmiller
Journal:  Leuk Res       Date:  2018-01-02       Impact factor: 3.156

3.  In rare acute myeloid leukemia patients harboring both RUNX1 and NPM1 mutations, RUNX1 mutations are unusual in structure and present in the germline.

Authors:  Jason H Mendler; Kati Maharry; Heiko Becker; Ann-Kathrin Eisfeld; Leigha Senter; Krzysztof Mrózek; Jessica Kohlschmidt; Klaus H Metzeler; Sebastian Schwind; Susan P Whitman; Jihane Khalife; Michael A Caligiuri; Rebecca B Klisovic; Joseph O Moore; Thomas H Carter; Guido Marcucci; Clara D Bloomfield
Journal:  Haematologica       Date:  2013-06-10       Impact factor: 9.941

Review 4.  Role of RUNX1 in hematological malignancies.

Authors:  Raman Sood; Yasuhiko Kamikubo; Paul Liu
Journal:  Blood       Date:  2017-02-08       Impact factor: 22.113

Review 5.  Not Only Mutations Matter: Molecular Picture of Acute Myeloid Leukemia Emerging from Transcriptome Studies.

Authors:  Luiza Handschuh
Journal:  J Oncol       Date:  2019-07-30       Impact factor: 4.375

6.  Clonal evolution and devolution after chemotherapy in adult acute myelogenous leukemia.

Authors:  Brian Parkin; Peter Ouillette; Yifeng Li; Jennifer Keller; Cindy Lam; Diane Roulston; Cheng Li; Kerby Shedden; Sami N Malek
Journal:  Blood       Date:  2012-11-21       Impact factor: 22.113

7.  Quizartinib-resistant FLT3-ITD acute myeloid leukemia cells are sensitive to the FLT3-Aurora kinase inhibitor CCT241736.

Authors:  Andrew S Moore; Amir Faisal; Grace W Y Mak; Farideh Miraki-Moud; Vassilios Bavetsias; Melanie Valenti; Gary Box; Albert Hallsworth; Alexis de Haven Brandon; Cristina P R Xavier; Randal Stronge; Andrew D J Pearson; Julian Blagg; Florence I Raynaud; Rajesh Chopra; Suzanne A Eccles; David C Taussig; Spiros Linardopoulos
Journal:  Blood Adv       Date:  2020-04-14

8.  Level of RUNX1 activity is critical for leukemic predisposition but not for thrombocytopenia.

Authors:  Iléana Antony-Debré; Vladimir T Manchev; Nathalie Balayn; Dominique Bluteau; Cécile Tomowiak; Céline Legrand; Thierry Langlois; Olivia Bawa; Lucie Tosca; Gérard Tachdjian; Bruno Leheup; Najet Debili; Isabelle Plo; Jason A Mills; Deborah L French; Mitchell J Weiss; Eric Solary; Remi Favier; William Vainchenker; Hana Raslova
Journal:  Blood       Date:  2014-12-09       Impact factor: 22.113

9.  Genetic Characterization and Prognostic Relevance of Acquired Uniparental Disomies in Cytogenetically Normal Acute Myeloid Leukemia.

Authors:  Christopher J Walker; Jessica Kohlschmidt; Ann-Kathrin Eisfeld; Krzysztof Mrózek; Sandya Liyanarachchi; Chi Song; Deedra Nicolet; James S Blachly; Marius Bill; Dimitrios Papaioannou; Christopher C Oakes; Brian Giacopelli; Luke K Genutis; Sophia E Maharry; Shelley Orwick; Kellie J Archer; Bayard L Powell; Jonathan E Kolitz; Geoffrey L Uy; Eunice S Wang; Andrew J Carroll; Richard M Stone; John C Byrd; Albert de la Chapelle; Clara D Bloomfield
Journal:  Clin Cancer Res       Date:  2019-08-02       Impact factor: 12.531

Review 10.  The use of molecular genetics to refine prognosis in acute myeloid leukemia.

Authors:  Bhavana Bhatnagar; Ramiro Garzon
Journal:  Curr Hematol Malig Rep       Date:  2014-06       Impact factor: 3.952

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