BACKGROUND: The objectives of the current study were to evaluate the outcome of patients > or = 60 years with acute myeloid leukemia (AML) treated uniformly with high-dose daunorubicin containing induction and modified high-dose cytosine arabinoside containing postremission therapy, and to identify factors predictive of complete disease remission (CR) and survival. METHODS: Between 1998 and 2002, the authors treated 117 newly diagnosed patients (acute promyelocytic leukemia excluded) with AML > or = 60 years (median, 67 years; range, 60-82 years). Karyotype (Medical Research Council classification) at diagnosis was categorized as good risk (n = 3), intermediate risk (n = 69), adverse risk (n = 26), and suboptimal/not done (n = 19). A normal karyotype was seen in 41 patients and 40 (34%) had secondary AML. RESULTS: The outcome of induction included the following: CR, 62 (53%); early death, 5 (4%); death during hypoplasia, 14 (12%); and resistant disease, 36 (31%). The 3-year event-free (EFS) and overall survival (OS) rates were 9% (95% confidence interval [95% CI], 3-16%) and 17% (95% CI, 9-29%), respectively. In a univariate analysis, cytogenetics, lactate dehydrogenase level, leukocyte count, and performance status were the significant factors for EFS and OS. Age was not a significant prognostic factor for either CR or survival. In a multivariate model, adverse-risk cytogenetics, previous history of myelodysplastic syndrome or antecedent hematologic disorder, and high leukocyte count (> 30 x 10(9)/L) were independent adverse prognostic factors for survival. The impact of adverse karyotype on EFS and OS was time dependent and was observed after 50 and 150 days, respectively. CONCLUSIONS: The authors concluded that candidacy for intensive therapy in older patients should be based on biologic features of disease and fitness, rather than on age.
BACKGROUND: The objectives of the current study were to evaluate the outcome of patients > or = 60 years with acute myeloid leukemia (AML) treated uniformly with high-dose daunorubicin containing induction and modified high-dose cytosine arabinoside containing postremission therapy, and to identify factors predictive of complete disease remission (CR) and survival. METHODS: Between 1998 and 2002, the authors treated 117 newly diagnosed patients (acute promyelocytic leukemia excluded) with AML > or = 60 years (median, 67 years; range, 60-82 years). Karyotype (Medical Research Council classification) at diagnosis was categorized as good risk (n = 3), intermediate risk (n = 69), adverse risk (n = 26), and suboptimal/not done (n = 19). A normal karyotype was seen in 41 patients and 40 (34%) had secondary AML. RESULTS: The outcome of induction included the following: CR, 62 (53%); early death, 5 (4%); death during hypoplasia, 14 (12%); and resistant disease, 36 (31%). The 3-year event-free (EFS) and overall survival (OS) rates were 9% (95% confidence interval [95% CI], 3-16%) and 17% (95% CI, 9-29%), respectively. In a univariate analysis, cytogenetics, lactate dehydrogenase level, leukocyte count, and performance status were the significant factors for EFS and OS. Age was not a significant prognostic factor for either CR or survival. In a multivariate model, adverse-risk cytogenetics, previous history of myelodysplastic syndrome or antecedent hematologic disorder, and high leukocyte count (> 30 x 10(9)/L) were independent adverse prognostic factors for survival. The impact of adverse karyotype on EFS and OS was time dependent and was observed after 50 and 150 days, respectively. CONCLUSIONS: The authors concluded that candidacy for intensive therapy in older patients should be based on biologic features of disease and fitness, rather than on age.
Authors: S Merims; X Li; B Joe; P Dokouhaki; M Han; R W Childs; Z-Y Wang; V Gupta; M D Minden; L Zhang Journal: Leukemia Date: 2011-05-13 Impact factor: 11.528
Authors: Ulrich Wedding; Bernd Röhrig; Almuth Klippstein; Hans-Joerg Fricke; Herbert G Sayer; Klaus Höffken Journal: J Cancer Res Clin Oncol Date: 2006-07-05 Impact factor: 4.553
Authors: Naama Keren-Froim; Gabriel Heering; Gal Sharvit; Maya Zlotnik; Arnon Nagler; Avichai Shimoni; Abraham Avigdor; Jonathan Canaani Journal: Ann Hematol Date: 2022-01-06 Impact factor: 3.673
Authors: Joseph M Brandwein; Michelle Geddes; Jeannine Kassis; Andrea K Kew; Brian Leber; Thomas Nevill; Mitchell Sabloff; Irwindeep Sandhu; Andre C Schuh; John M Storring; John Ashkenas Journal: Am J Blood Res Date: 2013-05-05
Authors: Mikkael A Sekeres; Gordon Guyatt; Gregory Abel; Shabbir Alibhai; Jessica K Altman; Rena Buckstein; Hannah Choe; Pinkal Desai; Harry Erba; Christopher S Hourigan; Thomas W LeBlanc; Mark Litzow; Janet MacEachern; Laura C Michaelis; Sudipto Mukherjee; Kristen O'Dwyer; Ashley Rosko; Richard Stone; Arnav Agarwal; L E Colunga-Lozano; Yaping Chang; QiuKui Hao; Romina Brignardello-Petersen Journal: Blood Adv Date: 2020-08-11
Authors: Joseph M Brandwein; Jack T Seki; Eshetu G Atenafu; Amr Rostom; Andrzej Lutynski; Anna Rydlewski; Aaron D Schimmer; Andre C Schuh; Vikas Gupta; Karen W L Yee Journal: Support Care Cancer Date: 2018-10-19 Impact factor: 3.603