Literature DB >> 36258727

Prognostic Factors in Acute Myeloid Leukemia with t(8;21)/AML1-ETO: Strategies to Define High-Risk Patients.

Jianyong Wang1, Na Gao2, Xuexia Wang2, Wenzheng Yu2, Aimin Li1.   

Abstract

Acute myeloid leukemia (AML) with t(8;21)/AML1-ETO is considered to have favorable prognosis. However, outcome is not universally satisfactory. The aim of this study was to search for potential prognostic risk factors which can help individualized treatment in t(8;21) AML patients. All available clinical and laboratory indicators were analyzed retrospectively in 103 t (8;21) AML patients. All patients were followed up for median of 30 months (range 0.3-73 months). CD56 and IDH1 were found to be closely related to high recurrence (p = 0.002; p = 0.001) and incidence of cumulative recurrence (p = 0.001; p < 0.0001). C-KIT was associated with a high cumulative incidence of non-relapse mortality (p < 0.0001). Elevated galectin-3 (gal-3) had a significantly adverse effect on overall survival (OS) and disease-free survival (DFS) of patients receiving standard-dose cytarabine-based consolidation chemotherapy. In multivariable analysis, gal-3 (p = 0.01), CD56 (p = 0.002), IDH1 (p = 0.007) and C-KIT (p = 0.041) were the independent unfavorable factors for OS. CD56 (p = 0.019), IDH1 (p = 0.001) and consolidation chemotherapy regimen (p = 0.041) were the independent risk factors in terms of DFS. A scoring system incorporating gal-3, CD56, IDH1 and C-KIT proved to be helpful for predicting OS in t (8;21) AML patients. Our results revealed that those carrying four factors mentioned above should be considered to be high-risk patients. © Indian Society of Hematology and Blood Transfusion 2021.

Entities:  

Keywords:  Acute myeloid leukemia; Galectin-3; Risk stratification; T (8; 21)

Year:  2021        PMID: 36258727      PMCID: PMC9569252          DOI: 10.1007/s12288-021-01507-9

Source DB:  PubMed          Journal:  Indian J Hematol Blood Transfus        ISSN: 0971-4502            Impact factor:   0.915


  17 in total

1.  Prognostic factors and outcome of core binding factor acute myeloid leukemia patients with t(8;21) differ from those of patients with inv(16): a Cancer and Leukemia Group B study.

Authors:  Guido Marcucci; Krzysztof Mrózek; Amy S Ruppert; Kati Maharry; Jonathan E Kolitz; Joseph O Moore; Robert J Mayer; Mark J Pettenati; Bayard L Powell; Colin G Edwards; Lisa J Sterling; James W Vardiman; Charles A Schiffer; Andrew J Carroll; Richard A Larson; Clara D Bloomfield
Journal:  J Clin Oncol       Date:  2005-08-20       Impact factor: 44.544

2.  Refinement of cytogenetic classification in acute myeloid leukemia: determination of prognostic significance of rare recurring chromosomal abnormalities among 5876 younger adult patients treated in the United Kingdom Medical Research Council trials.

Authors:  David Grimwade; Robert K Hills; Anthony V Moorman; Helen Walker; Stephen Chatters; Anthony H Goldstone; Keith Wheatley; Christine J Harrison; Alan K Burnett
Journal:  Blood       Date:  2010-04-12       Impact factor: 22.113

Review 3.  Molecular regulation of galectin-3 expression and therapeutic implication in cancer progression.

Authors:  Lei Wang; Xiu-Li Guo
Journal:  Biomed Pharmacother       Date:  2016-01-29       Impact factor: 6.529

4.  Prospective evaluation of gene mutations and minimal residual disease in patients with core binding factor acute myeloid leukemia.

Authors:  Eric Jourdan; Nicolas Boissel; Sylvie Chevret; Eric Delabesse; Aline Renneville; Pascale Cornillet; Odile Blanchet; Jean-Michel Cayuela; Christian Recher; Emmanuel Raffoux; Jacques Delaunay; Arnaud Pigneux; Claude-Eric Bulabois; Céline Berthon; Cécile Pautas; Norbert Vey; Bruno Lioure; Xavier Thomas; Isabelle Luquet; Christine Terré; Philippe Guardiola; Marie C Béné; Claude Preudhomme; Norbert Ifrah; Hervé Dombret
Journal:  Blood       Date:  2013-01-15       Impact factor: 22.113

5.  MRD-directed risk stratification treatment may improve outcomes of t(8;21) AML in the first complete remission: results from the AML05 multicenter trial.

Authors:  Hong-Hu Zhu; Xiao-Hui Zhang; Ya-Zhen Qin; Dai-Hong Liu; Hao Jiang; Huan Chen; Qian Jiang; Lan-Ping Xu; Jin Lu; Wei Han; Li Bao; Yu Wang; Yu-Hong Chen; Jing-Zhi Wang; Feng-Rong Wang; Yue-Yun Lai; Jun-Yue Chai; Li-Ru Wang; Yan-Rong Liu; Kai-Yan Liu; Bin Jiang; Xiao-Jun Huang
Journal:  Blood       Date:  2013-03-27       Impact factor: 22.113

6.  A sensitive model for prediction of relapse in adult acute myeloid leukaemia with t(8;21) using white blood cell count, CD56 and MDR1 gene expression at diagnosis.

Authors:  Markus Schaich; Rainer Koch; Silke Soucek; Roland Repp; Gerhard Ehninger; Thomas Illmer
Journal:  Br J Haematol       Date:  2004-05       Impact factor: 6.998

7.  Individual patient data-based meta-analysis of patients aged 16 to 60 years with core binding factor acute myeloid leukemia: a survey of the German Acute Myeloid Leukemia Intergroup.

Authors:  R F Schlenk; A Benner; J Krauter; T Büchner; C Sauerland; G Ehninger; M Schaich; B Mohr; D Niederwieser; R Krahl; R Pasold; K Döhner; A Ganser; H Döhner; G Heil
Journal:  J Clin Oncol       Date:  2004-08-02       Impact factor: 44.544

Review 8.  The role of galectin-3 in cancer drug resistance.

Authors:  Tomoharu Fukumori; Hiro-Omi Kanayama; Avraham Raz
Journal:  Drug Resist Updat       Date:  2007-06-04       Impact factor: 18.500

9.  Cooperating gene mutations in childhood acute myeloid leukemia with special reference on mutations of ASXL1, TET2, IDH1, IDH2, and DNMT3A.

Authors:  Der-Cherng Liang; Hsi-Che Liu; Chao-Ping Yang; Tang-Her Jaing; Iou-Jih Hung; Ting-Chi Yeh; Shih-Hsiang Chen; Jen-Yin Hou; Ying-Jung Huang; Yu-Shu Shih; Yu-Hui Huang; Tung-Huei Lin; Lee-Yung Shih
Journal:  Blood       Date:  2013-01-30       Impact factor: 25.476

10.  Galectin-3 induces cell migration via a calcium-sensitive MAPK/ERK1/2 pathway.

Authors:  Xiaoge Gao; Vitaly Balan; Guihua Tai; Avraham Raz
Journal:  Oncotarget       Date:  2014-04-30
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