Literature DB >> 29360622

Prognostic analysis according to the 2017 ELN risk stratification by genetics in adult acute myeloid leukemia patients treated in the Japan Adult Leukemia Study Group (JALSG) AML201 study.

Yasuhiko Harada1, Yasunobu Nagata2, Rika Kihara1, Yuichi Ishikawa1, Norio Asou3, Shigeki Ohtake4, Shuichi Miyawaki5, Toru Sakura6, Yukiyasu Ozawa7, Noriko Usui8, Heiwa Kanamori9, Yoshikazu Ito10, Kiyotoshi Imai11, Youko Suehiro12, Shinichi Kobayashi13, Kunio Kitamura14, Emiko Sakaida15, Makoto Onizuka16, Akihiro Takeshita17, Fumihiro Ishida18, Hitoshi Suzushima19, Kenichi Ishizawa20, Tomoki Naoe21, Itaru Matsumura22, Yasushi Miyazaki23, Seishi Ogawa24, Hitoshi Kiyoi25.   

Abstract

Many genetic alterations that are associated with the prognosis of acute myeloid leukemia (AML) have been identified, and several risk stratification systems based on the genetic status have been recommended. The European LeukemiaNet (ELN) first proposed the risk stratification system for AML in 2010 (ELN-2010), and recently published the revised system (ELN-2017). We validated the long-term prognosis and clinical characteristics of each ELN-2017 risk category in Japanese adult AML patients who were treated in the Japan Adult Leukemia Study Group (JALSG) AML-201 study. We demonstrated that the 3-risk category system of the ELN-2017 successfully discriminated the overall survival and complete remission rates in our cohort in comparison with the 4-risk category of the ELN-2010. However, there were still genetic categories in which stratification of patients into favorable or intermediate risk categories was controversial; the low allelic ratio of FLT3-ITD was not necessarily associated with a better prognosis in patients with FLT3-ITD, and cytogenetic abnormalities may affect the prognosis in patients with favorable genetic lesions such as NPM1 and CEBPA mutations. As many molecular targeting agents, such as FLT3 inhibitors, have been developed, we must continue to modify the genetic risk stratification system to match the progression of therapeutic strategies.
Copyright © 2018 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Acute myeloid leukemia; European LeukemiaNet; Genetics; Prognosis; Risk stratification

Mesh:

Substances:

Year:  2018        PMID: 29360622     DOI: 10.1016/j.leukres.2018.01.008

Source DB:  PubMed          Journal:  Leuk Res        ISSN: 0145-2126            Impact factor:   3.156


  16 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.  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 3.  The evolving concept of indications for allogeneic hematopoietic cell transplantation during first complete remission of acute myeloid leukemia.

Authors:  Masamitsu Yanada
Journal:  Bone Marrow Transplant       Date:  2021-03-08       Impact factor: 5.483

4.  Safety and pharmacokinetics of quizartinib in Japanese patients with relapsed or refractory acute myeloid leukemia in a phase 1 study.

Authors:  Kensuke Usuki; Hiroshi Handa; Ilseung Choi; Takahiro Yamauchi; Hiroatsu Iida; Tomoko Hata; Shoichi Ohwada; Noriko Okudaira; Kota Nakamura; Sakura Sakajiri
Journal:  Int J Hematol       Date:  2019-07-29       Impact factor: 2.490

5.  Validation of the 2017 European LeukemiaNet classification for acute myeloid leukemia with NPM1 and FLT3-internal tandem duplication genotypes.

Authors:  Prajwal C Boddu; Tapan M Kadia; Guillermo Garcia-Manero; Jorge Cortes; Mansour Alfayez; Gautam Borthakur; Marina Konopleva; Elias J Jabbour; Naval G Daver; Courtney D DiNardo; Kiran Naqvi; Musa Yilmaz; Nicholas J Short; Sherry Pierce; Hagop M Kantarjian; Farhad Ravandi
Journal:  Cancer       Date:  2018-12-06       Impact factor: 6.860

6.  Molecular profiling of adult acute myeloid and lymphoid leukemia in a major referral center in Lebanon: a 10-year experience report and review of the literature.

Authors:  Nada Assaf; Jean El-Cheikh; Ali Bazarbachi; Ziad Salem; Chantal Farra; Zaher Chakhachiro; Samer Nassif; Ghazi Zaatari; Rami Mahfouz
Journal:  Mol Biol Rep       Date:  2019-01-30       Impact factor: 2.316

7.  Prognostic impact of the ELN2017 risk classification in patients with AML receiving allogeneic transplantation.

Authors:  Juliane Grimm; Madlen Jentzsch; Marius Bill; Karoline Goldmann; Julia Schulz; Dietger Niederwieser; Uwe Platzbecker; Sebastian Schwind
Journal:  Blood Adv       Date:  2020-08-25

8.  AML risk stratification models utilizing ELN-2017 guidelines and additional prognostic factors: a SWOG report.

Authors:  Era L Pogosova-Agadjanyan; Anna Moseley; Megan Othus; Frederick R Appelbaum; Thomas R Chauncey; I-Ming L Chen; Harry P Erba; John E Godwin; Isaac C Jenkins; Min Fang; Mike Huynh; Kenneth J Kopecky; Alan F List; Jasmine Naru; Jerald P Radich; Emily Stevens; Brooke E Willborg; Cheryl L Willman; Brent L Wood; Qing Zhang; Soheil Meshinchi; Derek L Stirewalt
Journal:  Biomark Res       Date:  2020-08-12

Review 9.  Clinical use of FLT3 inhibitors in acute myeloid leukemia.

Authors:  Grerk Sutamtewagul; Carlos E Vigil
Journal:  Onco Targets Ther       Date:  2018-10-16       Impact factor: 4.147

10.  Acute myeloid leukemia patient with FLT3-ITD and NPM1 double mutation should undergo allogeneic hematopoietic stem cell transplantation in CR1 for better prognosis.

Authors:  Yan Huang; Juan Hu; Ting Lu; Yi Luo; Jimin Shi; Wenjun Wu; Xiaoyan Han; Weiyan Zheng; Jingsong He; Zhen Cai; Guoqing Wei; He Huang; Jie Sun
Journal:  Cancer Manag Res       Date:  2019-05-08       Impact factor: 3.989

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