Literature DB >> 23248249

Superior long-term outcome with idarubicin compared with high-dose daunorubicin in patients with acute myeloid leukemia age 50 years and older.

Claude Gardin1, Sylvie Chevret, Cécile Pautas, Pascal Turlure, Emmanuel Raffoux, Xavier Thomas, Bruno Quesnel, Thierry de Revel, Stéphane de Botton, Nathalie Gachard, Aline Renneville, Nicolas Boissel, Claude Preudhomme, Christine Terré, Pierre Fenaux, Dominique Bordessoule, Karine Celli-Lebras, Sylvie Castaigne, Hervé Dombret.   

Abstract

PURPOSE: Although standard chemotherapy remains associated with a poor outcome in older patients with acute myeloid leukemia (AML), it is unclear which patients can survive long enough to be considered as cured. This study aimed to identify factors influencing the long-term outcome in these patients. PATIENTS AND METHODS: The study included 727 older patients with AML (median age, 67 years) treated in two idarubicin (IDA) versus daunorubicin (DNR) Acute Leukemia French Association trials. Prognostic analysis was based on standard univariate and multivariate models and also included a cure fraction model to focus on long-term outcome.
RESULTS: Age, WBC count, secondary AML, Eastern Cooperative Oncology Group (ECOG) performance status (PS), and adverse-risk and favorable-risk AML subsets (European LeukemiaNet classification) all influenced complete remission (CR) rate and overall survival (OS). IDA random assignment was associated with higher CR rate, but not with longer OS (P = .13). The overall cure rate was 13.3%. Older age and ECOG-PS more than 1 negatively influenced cure rate, which was higher in patients with favorable-risk AML (39.1% v 8.0% in adverse-risk AML; P < .001) and those treated with IDA (16.6% v 9.8% with DNR; P = .018). The long-term impact of IDA was still observed in patients younger than age 65 years, although all of the younger patients in the DNR control arm received high DNR doses (cure rate, 27.4% for IDA v 15.9% for DNR; P = .049). In multivariate analysis, IDA random assignment remained associated with a higher cure rate (P = .04), together with younger age and favorable-risk AML, despite not influencing OS (P = .11).
CONCLUSION: In older patients with AML, younger age, favorable-risk AML, and IDA treatment predict a better long-term outcome.

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Year:  2012        PMID: 23248249     DOI: 10.1200/JCO.2011.40.3642

Source DB:  PubMed          Journal:  J Clin Oncol        ISSN: 0732-183X            Impact factor:   44.544


  25 in total

1.  Long-term results of a randomized phase 3 trial comparing idarubicin and daunorubicin in younger patients with acute myeloid leukaemia.

Authors:  C Récher; M C Béné; B Lioure; A Pigneux; N Vey; J Delaunay; I Luquet; M Hunault; D Guyotat; D Bouscary; N Fegueux; E Jourdan; S Lissandre; M Escoffre-Barbe; C Bonmati; E Randriamalala; R Guièze; M Ojeda-Uribe; F Dreyfus; J L Harousseau; J Y Cahn; N Ifrah; P Guardiola
Journal:  Leukemia       Date:  2013-10-09       Impact factor: 11.528

Review 2.  What Is the Best Daunorubicin Dose and Schedule for Acute Myeloid Leukemia Induction?

Authors:  Priyanka Pophali; Mark Litzow
Journal:  Curr Treat Options Oncol       Date:  2017-01

Review 3.  Progress in acute myeloid leukemia.

Authors:  Tapan M Kadia; Farhad Ravandi; Susan O'Brien; Jorge Cortes; Hagop M Kantarjian
Journal:  Clin Lymphoma Myeloma Leuk       Date:  2014-09-19

4.  Increased pressure alters plasma membrane dynamics and renders acute myeloid leukemia cells resistant to daunorubicin.

Authors:  Victor Sanjit Nirmalanandhan; Rose Hurren; William D Cameron; Marcela Gronda; Aisha Shamas-Din; Lidan You; Mark D Minden; Jonathan V Rocheleau; Aaron D Schimmer
Journal:  Haematologica       Date:  2015-07-16       Impact factor: 9.941

5.  Early mortality and survival in older adults with acute myeloid leukemia.

Authors:  Manisha Pant; Vijaya Raj Bhatt
Journal:  Int J Hematol Oncol       Date:  2017-11-20

Review 6.  Novel Therapies for Acute Myeloid Leukemia: Are We Finally Breaking the Deadlock?

Authors:  Maximilian Stahl; Benjamin Y Lu; Tae Kon Kim; Amer M Zeidan
Journal:  Target Oncol       Date:  2017-08       Impact factor: 4.493

7.  Benchmarking treatment effects for patients over 70 with acute myeloid leukemia: A systematic review and meta-analysis.

Authors:  Tea Reljic; Marina Sehovic; Jeffrey Lancet; Jongphil Kim; Najla Al Ali; Benjamin Djulbegovic; Martine Extermann
Journal:  J Geriatr Oncol       Date:  2020-07-12       Impact factor: 3.599

Review 8.  Inching toward cure of acute myeloid leukemia: a summary of the progress made in the last 50 years.

Authors:  Peter H Wiernik
Journal:  Med Oncol       Date:  2014-07-22       Impact factor: 3.064

9.  Added prognostic value of secondary AML-like gene mutations in ELN intermediate-risk older AML: ALFA-1200 study results.

Authors:  Claude Gardin; Cécile Pautas; Elise Fournier; Raphaël Itzykson; Emilie Lemasle; Jean-Henri Bourhis; Lionel Adès; Jean-Pierre Marolleau; Jean-Valère Malfuson; Lauris Gastaud; Emmanuel Raffoux; Juliette Lambert; Thorsten Braun; Xavier Thomas; Sylvain Chantepie; Thomas Cluzeau; Stéphane de Botton; Céline Berthon; Nicolas Boissel; Nicolas Duployez; Christine Terré; Régis Peffault de Latour; Mauricette Michallet; Karine Celli-Lebras; Claude Preudhomme; Hervé Dombret
Journal:  Blood Adv       Date:  2020-05-12

10.  Impact of salvage regimens on response and overall survival in acute myeloid leukemia with induction failure.

Authors:  M Wattad; D Weber; K Döhner; J Krauter; V I Gaidzik; P Paschka; M Heuser; F Thol; T Kindler; M Lübbert; H R Salih; A Kündgen; H-A Horst; P Brossart; K Götze; D Nachbaur; C-H Köhne; M Ringhoffer; G Wulf; G Held; H Salwender; A Benner; A Ganser; H Döhner; R F Schlenk
Journal:  Leukemia       Date:  2017-01-19       Impact factor: 11.528

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