Literature DB >> 23929217

Integration of cytogenetic and molecular alterations in risk stratification of 318 patients with de novo non-M3 acute myeloid leukemia.

H A Hou1, C C Lin2, W C Chou3, C Y Liu4, C Y Chen2, J L Tang2, Y J Lai2, M H Tseng2, C F Huang2, Y C Chiang2, F Y Lee5, Y Y Kuo6, M C Lee2, M C Liu5, C W Liu5, L I Lin7, M Yao2, S Y Huang2, B S Ko2, S C Hsu8, S J Wu2, W Tsay2, Y C Chen3, H F Tien2.   

Abstract

Conventionally, acute myeloid leukemia (AML) patients are categorized into good-, intermediate- and poor-risk groups according to cytogenetic changes. However, patients with intermediate-risk cytogenetics represent a largely heterogeneous population regarding treatment response and clinical outcome. In this study, we integrated cytogenetics and molecular mutations in the analysis of 318 patients with de novo non-M3 AML who received standard chemotherapy. According to the mutation status of eight genes, including NPM1, CEBPA, IDH2, RUNX1, WT1, ASXL1, DNMT3A and FLT3, that had prognostic significance, 229 patients with intermediate-risk cytogenetics could be refinedly stratified into three groups with distinct prognosis (P<0.001); patients with good-risk genotypes had a favorable outcome (overall survival, OS, not reached) similar to those with good-risk cytogenetics, whereas those with poor-risk genotypes had an unfavorable prognosis (OS, 10 months) similar to those with poor-risk cytogenetics (OS, 13.5 months), and the remaining patients with other genotypes had an intermediate outcome (OS, 25 months). Integration of cytogenetic and molecular profiling could thus reduce the number of intermediate-risk AML patients from around three-fourth to one-fourth. In conclusion, integration of cytogenetic and molecular changes improves the prognostic stratification of AML patients, especially those with intermediate-risk cytogenetics, and may lead to better decision on therapeutic strategy.

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Year:  2013        PMID: 23929217     DOI: 10.1038/leu.2013.236

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


  47 in total

1.  DNMT3A mutations in acute myeloid leukemia: stability during disease evolution and clinical implications.

Authors:  Hsin-An Hou; Yuan-Yeh Kuo; Chieh-Yu Liu; Wen-Chien Chou; Ming Cheng Lee; Chien-Yuan Chen; Liang-In Lin; Mei-Hsuan Tseng; Chi-Fei Huang; Ying-Chieh Chiang; Fen-Yu Lee; Ming-Chih Liu; Chia-Wen Liu; Jih-Luh Tang; Ming Yao; Shang-Yi Huang; Bor-Sheng Ko; Szu-Chun Hsu; Shang-Ju Wu; Woei Tsay; Yao-Chang Chen; Hwei-Fang Tien
Journal:  Blood       Date:  2011-11-10       Impact factor: 22.113

2.  Characterization of acute myeloid leukemia with PTPN11 mutation: the mutation is closely associated with NPM1 mutation but inversely related to FLT3/ITD.

Authors:  H-A Hou; W-C Chou; L-I Lin; C-Y Chen; J-L Tang; M-H Tseng; C-F Huang; R-J Chiou; F-Y Lee; M-C Liu; H-F Tien
Journal:  Leukemia       Date:  2007-11-01       Impact factor: 11.528

3.  Molecular characterization of acute myeloid leukemia.

Authors:  Konstanze Döhner; Hartmut Döhner
Journal:  Haematologica       Date:  2008-07       Impact factor: 9.941

4.  Results of a HOVON/SAKK donor versus no-donor analysis of myeloablative HLA-identical sibling stem cell transplantation in first remission acute myeloid leukemia in young and middle-aged adults: benefits for whom?

Authors:  Jan J Cornelissen; Wim L J van Putten; Leo F Verdonck; Matthias Theobald; Emanuel Jacky; Simon M G Daenen; Marinus van Marwijk Kooy; Pierre Wijermans; Harry Schouten; Peter C Huijgens; Hans van der Lelie; Martin Fey; Augustin Ferrant; Johan Maertens; Alois Gratwohl; Bob Lowenberg
Journal:  Blood       Date:  2007-01-09       Impact factor: 22.113

5.  ASXL1 exon 12 mutations are frequent in AML with intermediate risk karyotype and are independently associated with an adverse outcome.

Authors:  S Schnittger; C Eder; S Jeromin; T Alpermann; A Fasan; V Grossmann; A Kohlmann; T Illig; N Klopp; H-E Wichmann; K-A Kreuzer; C Schmid; P Staib; R Peceny; N Schmitz; W Kern; C Haferlach; T Haferlach
Journal:  Leukemia       Date:  2012-09-11       Impact factor: 11.528

6.  DNMT3A mutations in acute myeloid leukemia.

Authors:  Timothy J Ley; Li Ding; Matthew J Walter; Michael D McLellan; Tamara Lamprecht; David E Larson; Cyriac Kandoth; Jacqueline E Payton; Jack Baty; John Welch; Christopher C Harris; Cheryl F Lichti; R Reid Townsend; Robert S Fulton; David J Dooling; Daniel C Koboldt; Heather Schmidt; Qunyuan Zhang; John R Osborne; Ling Lin; Michelle O'Laughlin; Joshua F McMichael; Kim D Delehaunty; Sean D McGrath; Lucinda A Fulton; Vincent J Magrini; Tammi L Vickery; Jasreet Hundal; Lisa L Cook; Joshua J Conyers; Gary W Swift; Jerry P Reed; Patricia A Alldredge; Todd Wylie; Jason Walker; Joelle Kalicki; Mark A Watson; Sharon Heath; William D Shannon; Nobish Varghese; Rakesh Nagarajan; Peter Westervelt; Michael H Tomasson; Daniel C Link; Timothy A Graubert; John F DiPersio; Elaine R Mardis; Richard K Wilson
Journal:  N Engl J Med       Date:  2010-11-10       Impact factor: 91.245

7.  RUNX1 mutations are associated with poor outcome in younger and older patients with cytogenetically normal acute myeloid leukemia and with distinct gene and MicroRNA expression signatures.

Authors:  Jason H Mendler; Kati Maharry; Michael D Radmacher; Krzysztof Mrózek; Heiko Becker; Klaus H Metzeler; Sebastian Schwind; Susan P Whitman; Jihane Khalife; Jessica Kohlschmidt; Deedra Nicolet; Bayard L Powell; Thomas H Carter; Meir Wetzler; Joseph O Moore; Jonathan E Kolitz; Maria R Baer; Andrew J Carroll; Richard A Larson; Michael A Caligiuri; Guido Marcucci; Clara D Bloomfield
Journal:  J Clin Oncol       Date:  2012-07-02       Impact factor: 44.544

8.  Wilms tumor 1 gene mutations are associated with a higher risk of recurrence in young adults with acute myeloid leukemia: a study from the Acute Leukemia French Association.

Authors:  Aline Renneville; Nicolas Boissel; Virginie Zurawski; Laura Llopis; Valéria Biggio; Olivier Nibourel; Nathalie Philippe; Xavier Thomas; Hervé Dombret; Claude Preudhomme
Journal:  Cancer       Date:  2009-08-15       Impact factor: 6.860

9.  RUNX1 gene mutation in primary myelodysplastic syndrome--the mutation can be detected early at diagnosis or acquired during disease progression and is associated with poor outcome.

Authors:  Chien-Yuan Chen; Liang-In Lin; Jih-Luh Tang; Bo-Sheng Ko; Woei Tsay; Wen-Chien Chou; Ming Yao; Shang-Ju Wu; Mei-Hsuan Tseng; Hwei-Fang Tien
Journal:  Br J Haematol       Date:  2007-11       Impact factor: 6.998

10.  RUNX1 mutations in acute myeloid leukemia: results from a comprehensive genetic and clinical analysis from the AML study group.

Authors:  Verena I Gaidzik; Lars Bullinger; Richard F Schlenk; Andreas S Zimmermann; Jürgen Röck; Peter Paschka; Andrea Corbacioglu; Jürgen Krauter; Brigitte Schlegelberger; Arnold Ganser; Daniela Späth; Andrea Kündgen; Ingo G H Schmidt-Wolf; Katharina Götze; David Nachbaur; Michael Pfreundschuh; Heinz A Horst; Hartmut Döhner; Konstanze Döhner
Journal:  J Clin Oncol       Date:  2011-02-22       Impact factor: 50.717

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  43 in total

1.  Mutational cooperativity linked to combinatorial epigenetic gain of function in acute myeloid leukemia.

Authors:  Alan H Shih; Yanwen Jiang; Cem Meydan; Kaitlyn Shank; Suveg Pandey; Laura Barreyro; Ileana Antony-Debre; Agnes Viale; Nicholas Socci; Yongming Sun; Alexander Robertson; Magali Cavatore; Elisa de Stanchina; Todd Hricik; Franck Rapaport; Brittany Woods; Chen Wei; Megan Hatlen; Muhamed Baljevic; Stephen D Nimer; Martin Tallman; Elisabeth Paietta; Luisa Cimmino; Iannis Aifantis; Ulrich Steidl; Chris Mason; Ari Melnick; Ross L Levine
Journal:  Cancer Cell       Date:  2015-04-13       Impact factor: 31.743

2.  Genetic alterations and their clinical implications in older patients with acute myeloid leukemia.

Authors:  C-H Tsai; H-A Hou; J-L Tang; C-Y Liu; C-C Lin; W-C Chou; M-H Tseng; Y-C Chiang; Y-Y Kuo; M-C Liu; C-W Liu; L-I Lin; W Tsay; M Yao; C-C Li; S-Y Huang; B-S Ko; S-C Hsu; C-Y Chen; C-T Lin; S-J Wu; H-F Tien
Journal:  Leukemia       Date:  2016-03-17       Impact factor: 11.528

3.  Concomitant WT1 mutations predict poor prognosis in acute myeloid leukemia patients with double mutant CEBPA.

Authors:  Feng-Ming Tien; Hsin-An Hou; Jih-Luh Tang; Yuan-Yeh Kuo; Chien-Yuan Chen; Cheng-Hong Tsai; Ming Yao; Chien-Ting Lin; Chi-Cheng Li; Shang-Yi Huang; Bor-Sheng Ko; Szu-Chun Hsu; Shang-Ju Wu; Jia-Hau Liu; Sheng Chieh Chou; Woei Tsay; Mei-Hsuan Tseng; Ming-Chih Liu; Chia-Wen Liu; Liang-In Lin; Wen-Chien Chou; Hwei-Fang Tien
Journal:  Haematologica       Date:  2018-05-17       Impact factor: 9.941

Review 4.  Management of primary refractory acute myeloid leukemia in the era of targeted therapies.

Authors:  Christine M McMahon; Alexander E Perl
Journal:  Leuk Lymphoma       Date:  2018-09-20

5.  Overexpression of FLT3-ITD driven by spi-1 results in expanded myelopoiesis with leukemic phenotype in zebrafish.

Authors:  J-W Lu; H-A Hou; M-S Hsieh; H-F Tien; L-I Lin
Journal:  Leukemia       Date:  2016-05-20       Impact factor: 11.528

Review 6.  DNMT3A in haematological malignancies.

Authors:  Liubin Yang; Rachel Rau; Margaret A Goodell
Journal:  Nat Rev Cancer       Date:  2015-02-19       Impact factor: 60.716

Review 7.  DNA methylation in normal and malignant hematopoiesis.

Authors:  Hamza Celik; Ashley Kramer; Grant A Challen
Journal:  Int J Hematol       Date:  2016-03-04       Impact factor: 2.490

8.  CALR and ASXL1 mutations-based molecular prognostication in primary myelofibrosis: an international study of 570 patients.

Authors:  A Tefferi; P Guglielmelli; T L Lasho; G Rotunno; C Finke; C Mannarelli; A A Belachew; A Pancrazzi; E A Wassie; R P Ketterling; C A Hanson; A Pardanani; A M Vannucchi
Journal:  Leukemia       Date:  2014-02-05       Impact factor: 11.528

9.  The N-terminal CEBPA mutant in acute myeloid leukemia impairs CXCR4 expression.

Authors:  Yuan-Yeh Kuo; Hsin-An Hou; Yin-Kai Chen; Li-Yu Li; Po-Hsuen Chen; Mei-Hsuan Tseng; Chi-Fei Huang; Fen-Yu Lee; Ming-Chih Liu; Chia-Wen Liu; Wen-Chien Chou; Chieh-Yu Liu; Jih-Luh Tang; Ming Yao; Hwei-Fang Tien
Journal:  Haematologica       Date:  2014-09-05       Impact factor: 9.941

10.  [RUNX1 gene mutations are associated with adverse prognosis of patients with acute myeloidleukemia].

Authors:  Yanli Yang; Tiantian Li; Yinghua Geng; Jun Li
Journal:  Nan Fang Yi Ke Da Xue Xue Bao       Date:  2020-11-30
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