Literature DB >> 20038731

Single nucleotide polymorphism in the mutational hotspot of WT1 predicts a favorable outcome in patients with cytogenetically normal acute myeloid leukemia.

Frederik Damm1, Michael Heuser, Michael Morgan, Haiyang Yun, Anika Grosshennig, Gudrun Göhring, Brigitte Schlegelberger, Konstanze Döhner, Oliver Ottmann, Michael Lübbert, Wolfgang Heit, Lothar Kanz, Günter Schlimok, Aruna Raghavachar, Walter Fiedler, Hartmut Kirchner, Hartmut Döhner, Gerhard Heil, Arnold Ganser, Jürgen Krauter.   

Abstract

PURPOSE: We assessed the prognostic impact of a known single nucleotide polymorphism (SNP) located in the mutational hotspot of WT1 in patients with cytogenetically normal acute myeloid leukemia (CN-AML) in the context of other prognostic markers. PATIENTS AND METHODS: WT1 exons 7 and 9 from 249 CN-AML patients from multicenter treatment trials AML-SHG Hannover 0199 (Clinical Trials Identifier NCT00209833) and 0295, and 50 healthy volunteers were analyzed by direct sequencing. NPM1, FLT3, CEBPA, and MLL were assessed for mutations and WT1 expression was quantified.
RESULTS: The minor allele of SNP rs16754 (WT1(AG/GG)) was found in 25.7% of CN-AML patients' blasts and germline DNA and in 36% of healthy volunteers. Patient characteristics, frequencies of mutations, or WT1 expression levels were similarly distributed between patients homozygous for the major allele compared with patients heterozygous or homozygous for the minor allele. SNP rs16754 status was an independent predictor of relapse-free survival (RFS; hazard ratio [HR], 0.49; 95% CI, 0.3 to 0.81; P = .005) and overall survival (OS; HR, 0.44; 95% CI, 0.27 to 0.74; P = .002) in multivariate analysis. The favorable effect of SNP rs16754 was stronger in NPM1/FLT3-ITD (internal tandem duplication of the FLT3 gene) high-risk patients compared with NPM1/FLT3-ITD low-risk patients. Favorable prognosis could not be identified by any other known low-risk marker in half the patients with at least one minor allele (13% of all patients). No difference for complete remission rate, RFS, or OS was found between patients with or without acquired WT1 mutations.
CONCLUSION: WT1 SNP rs16754 may be a novel independent favorable-risk marker in CN-AML patients that might improve risk and treatment stratification.

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Year:  2009        PMID: 20038731     DOI: 10.1200/JCO.2009.23.0342

Source DB:  PubMed          Journal:  J Clin Oncol        ISSN: 0732-183X            Impact factor:   44.544


  32 in total

1.  WT1 synonymous single nucleotide polymorphism rs16754 correlates with higher mRNA expression and predicts significantly improved outcome in favorable-risk pediatric acute myeloid leukemia: a report from the children's oncology group.

Authors:  Phoenix A Ho; Julia Kuhn; Robert B Gerbing; Jessica A Pollard; Rong Zeng; Kristen L Miller; Nyla A Heerema; Susana C Raimondi; Betsy A Hirsch; Janet L Franklin; Beverly Lange; Alan S Gamis; Todd A Alonzo; Soheil Meshinchi
Journal:  J Clin Oncol       Date:  2010-12-28       Impact factor: 44.544

2.  The prognostic impact of germline 46/1 haplotype of Janus kinase 2 in cytogenetically normal acute myeloid leukemia.

Authors:  Sarolta Nahajevszky; Hajnalka Andrikovics; Arpad Batai; Emma Adam; Andras Bors; Judit Csomor; Laszlo Gopcsa; Magdalena Koszarska; Andras Kozma; Nora Lovas; Sandor Lueff; Zoltan Matrai; Nora Meggyesi; Janos Sinko; Andrea Sipos; Andrea Varkonyi; Sandor Fekete; Attila Tordai; Tamas Masszi
Journal:  Haematologica       Date:  2011-07-26       Impact factor: 9.941

3.  Association between WT1 polymorphisms and susceptibility to breast cancer: results from a case-control study in a southwestern Chinese population.

Authors:  Xiao-Wei Qi; Xiao-Dong Zheng; Bei-Ge Zong; Qing-Qiu Chen; Fan Zhang; Xin-Hua Yang; Yi Zhang; Jun-Lan Liu; Jun Jiang
Journal:  Am J Cancer Res       Date:  2015-02-15       Impact factor: 6.166

4.  Clinical and functional implications of microRNA mutations in a cohort of 935 patients with myelodysplastic syndromes and acute myeloid leukemia.

Authors:  Felicitas Thol; Michaela Scherr; Aylin Kirchner; Rabia Shahswar; Karin Battmer; Sofia Kade; Anuhar Chaturvedi; Christian Koenecke; Michael Stadler; Uwe Platzbecker; Christian Thiede; Thomas Schroeder; Guido Kobbe; Gesine Bug; Oliver Ottmann; Wolf-Karsten Hofmann; Nicolaus Kröger; Walter Fiedler; Richard Schlenk; Konstanze Döhner; Hartmut Döhner; Jürgen Krauter; Matthias Eder; Arnold Ganser; Michael Heuser
Journal:  Haematologica       Date:  2014-12-31       Impact factor: 9.941

Review 5.  Molecular prognostic factors in cytogenetically normal acute myeloid leukemia.

Authors:  Alison Walker; Guido Marcucci
Journal:  Expert Rev Hematol       Date:  2012-10       Impact factor: 2.929

Review 6.  Acute myeloid leukemia with normal cytogenetics.

Authors:  Raya Mawad; Elihu H Estey
Journal:  Curr Oncol Rep       Date:  2012-10       Impact factor: 5.075

Review 7.  Molecular pathogenesis of acute myeloid leukemia: a diverse disease with new perspectives.

Authors:  Felicitas Thol; Arnold Ganser
Journal:  Front Med China       Date:  2010-12-01

8.  Immunorelated gene polymorphisms associated with acute myeloid leukemia.

Authors:  Q Liu; M Hua; S Yan; C Zhang; R Wang; X Yang; F Han; M Hou; D Ma
Journal:  Clin Exp Immunol       Date:  2020-06-02       Impact factor: 4.330

9.  A polymorphism in the 3'-untranslated region of the NPM1 gene causes illegitimate regulation by microRNA-337-5p and correlates with adverse outcome in acute myeloid leukemia.

Authors:  Chi Keung Cheng; Tsz Ki Kwan; Chi Ying Cheung; Kitty Ng; Pei Liang; Suk Hang Cheng; Natalie P H Chan; Rosalina K L Ip; Raymond S M Wong; Vincent Lee; Chi Kong Li; Sze Fai Yip; Margaret H L Ng
Journal:  Haematologica       Date:  2012-10-12       Impact factor: 9.941

10.  Wilms tumor gene single nucleotide polymorphism rs16754 predicts a favorable outcome in children with acute lymphoblastic leukemia.

Authors:  Anne-Sophie Junghanns; Susan Wittig; Caroline Woehlecke; Thomas Lehmann; Clemens Arndt; Bernd Gruhn
Journal:  J Cancer Res Clin Oncol       Date:  2015-07-30       Impact factor: 4.553

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