Literature DB >> 27055875

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

C-H Tsai1,2,3, H-A Hou1, J-L Tang1,3, C-Y Liu4, C-C Lin1,2,5, W-C Chou1,5, M-H Tseng1, Y-C Chiang1, Y-Y Kuo6, M-C Liu7, C-W Liu7, L-I Lin8, W Tsay1, M Yao1, C-C Li1,3, S-Y Huang1, B-S Ko1, S-C Hsu5, C-Y Chen1, C-T Lin1,3, S-J Wu1, H-F Tien1.   

Abstract

A number of patient-specific and leukemia-associated factors are related to the poor outcome in older patients with acute myeloid leukemia (AML). However, comprehensive studies regarding the impact of genetic alterations in this group of patients are limited. In this study, we compared relevant mutations in 21 genes between AML patients aged 60 years or older and those younger and exposed their prognostic implications. Compared with the younger patients, the elderly had significantly higher incidences of PTPN11, NPM1, RUNX1, ASXL1, TET2, DNMT3A and TP53 mutations but a lower frequency of WT1 mutations. The older patients more frequently harbored one or more adverse genetic alterations. Multivariate analysis showed that DNMT3A and TP53 mutations were independent poor prognostic factors among the elderly, while NPM1 mutation in the absence of FLT3/ITD was an independent favorable prognostic factor. Furthermore, the status of mutations could well stratify older patients with intermediate-risk cytogenetics into three risk groups. In conclusion, older AML patients showed distinct genetic alterations from the younger group. Integration of cytogenetics and molecular mutations can better risk-stratify older AML patients. Development of novel therapies is needed to improve the outcome of older patients with poor prognosis under current treatment modalities.

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Year:  2016        PMID: 27055875     DOI: 10.1038/leu.2016.65

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


  56 in total

1.  Survival for older patients with acute myeloid leukemia: a population-based study.

Authors:  Betul Oran; Daniel J Weisdorf
Journal:  Haematologica       Date:  2012-07-06       Impact factor: 9.941

2.  Prognostic relevance of FLT3-TKD mutations in AML: the combination matters--an analysis of 3082 patients.

Authors:  Ulrike Bacher; Claudia Haferlach; Wolfgang Kern; Torsten Haferlach; Susanne Schnittger
Journal:  Blood       Date:  2007-10-26       Impact factor: 22.113

3.  Prognostic implication of gene mutations on overall survival in the adult acute myeloid leukemia patients receiving or not receiving allogeneic hematopoietic stem cell transplantations.

Authors:  Sheng-Chieh Chou; Jih-Luh Tang; Hsin-An Hou; Wen-Chien Chou; Fu-Chang Hu; Chien-Yuan Chen; Ming Yao; Bor-Sheng Ko; Shang-Yi Huang; Woei Tsay; Yao-Chang Chen; Hwei-Fang Tien
Journal:  Leuk Res       Date:  2014-08-24       Impact factor: 3.156

4.  The clinical spectrum of adult acute myeloid leukaemia associated with core binding factor translocations.

Authors:  Frederick R Appelbaum; Kenneth J Kopecky; Martin S Tallman; Marilyn L Slovak; Holly M Gundacker; Haesook T Kim; Gordon W Dewald; Hagop M Kantarjian; Sherry R Pierce; Elihu H Estey
Journal:  Br J Haematol       Date:  2006-08-25       Impact factor: 6.998

5.  Cytogenetic pattern in acute myelogenous leukemia: a major reproducible determinant of outcome.

Authors:  M J Keating; T L Smith; H Kantarjian; A Cork; R Walters; J M Trujillo; K B McCredie; E A Gehan; E J Freireich
Journal:  Leukemia       Date:  1988-07       Impact factor: 11.528

6.  Acute myeloid leukemia ontogeny is defined by distinct somatic mutations.

Authors:  R Coleman Lindsley; Brenton G Mar; Emanuele Mazzola; Peter V Grauman; Sarah Shareef; Steven L Allen; Arnaud Pigneux; Meir Wetzler; Robert K Stuart; Harry P Erba; Lloyd E Damon; Bayard L Powell; Neal Lindeman; David P Steensma; Martha Wadleigh; Daniel J DeAngelo; Donna Neuberg; Richard M Stone; Benjamin L Ebert
Journal:  Blood       Date:  2014-12-30       Impact factor: 22.113

7.  Age and acute myeloid leukemia.

Authors:  Frederick R Appelbaum; Holly Gundacker; David R Head; Marilyn L Slovak; Cheryl L Willman; John E Godwin; Jeanne E Anderson; Stephen H Petersdorf
Journal:  Blood       Date:  2006-02-02       Impact factor: 22.113

8.  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

9.  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

10.  Splicing factor mutations predict poor prognosis in patients with de novo acute myeloid leukemia.

Authors:  Hsin-An Hou; Chieh-Yu Liu; Yuan-Yeh Kuo; Wen-Chien Chou; Cheng-Hong Tsai; Chien-Chin Lin; Liang-In Lin; Mei-Hsuan Tseng; Ying-Chieh Chiang; Ming-Chih Liu; Chia-Wen Liu; Jih-Luh Tang; Ming Yao; Chi-Cheng Li; Shang-Yi Huang; Bor-Sheng Ko; Szu-Chun Hsu; Chien-Yuan Chen; Chien-Ting Lin; Shang-Ju Wu; Woei Tsay; Hwei-Fang Tien
Journal:  Oncotarget       Date:  2016-02-23
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  38 in total

Review 1.  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 2.  Cytotoxic therapy in acute myeloid leukemia: not quite dead yet.

Authors:  Laura C Michaelis
Journal:  Hematology Am Soc Hematol Educ Program       Date:  2018-11-30

3.  Acute myeloid leukemia in the elderly is characterized by a distinct genetic and epigenetic landscape.

Authors:  P Silva; M Neumann; M P Schroeder; S Vosberg; C Schlee; K Isaakidis; J Ortiz-Tanchez; L R Fransecky; T Hartung; S Türkmen; A Graf; S Krebs; H Blum; C Müller-Tidow; C Thiede; G Ehninger; H Serve; J Hecht; W E Berdel; P A Greif; C Röllig; C D Baldus
Journal:  Leukemia       Date:  2017-04-03       Impact factor: 11.528

4.  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 5.  Diagnosis and management of AML in adults: 2017 ELN recommendations from an international expert panel.

Authors:  Hartmut Döhner; Elihu Estey; David Grimwade; Sergio Amadori; Frederick R Appelbaum; Thomas Büchner; Hervé Dombret; Benjamin L Ebert; Pierre Fenaux; Richard A Larson; Ross L Levine; Francesco Lo-Coco; Tomoki Naoe; Dietger Niederwieser; Gert J Ossenkoppele; Miguel Sanz; Jorge Sierra; Martin S Tallman; Hwei-Fang Tien; Andrew H Wei; Bob Löwenberg; Clara D Bloomfield
Journal:  Blood       Date:  2016-11-28       Impact factor: 22.113

Review 6.  Venetoclax-based therapies for acute myeloid leukemia.

Authors:  Veronica A Guerra; Courtney DiNardo; Marina Konopleva
Journal:  Best Pract Res Clin Haematol       Date:  2019-05-24       Impact factor: 3.020

7.  MicroRNA-425 upregulation indicates better prognosis in younger acute myeloid leukemia patients undergoing chemotherapy.

Authors:  Jilei Zhang; Jinlong Shi; Gaoqi Zhang; Xinpei Zhang; Xinrui Yang; Siyuan Yang; Jing Wang; Kai Hu; Xiaoyan Ke; Lin Fu
Journal:  Oncol Lett       Date:  2019-04-04       Impact factor: 2.967

8.  Automated decision tree to evaluate genetic abnormalities when determining prognostic risk in acute myeloid leukemia.

Authors:  Kevin Watanabe-Smith; Brian J Druker; Jeffrey W Tyner; David K Edwards
Journal:  Haematologica       Date:  2018-03-22       Impact factor: 9.941

Review 9.  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

Review 10.  Patterns of mutations in TP53 mutated AML.

Authors:  John S Welch
Journal:  Best Pract Res Clin Haematol       Date:  2018-09-20       Impact factor: 3.020

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