Literature DB >> 32496541

Does time from diagnosis to treatment affect the prognosis of patients with newly diagnosed acute myeloid leukemia?

Christoph Röllig1, Michael Kramer1, Christoph Schliemann2, Jan-Henrik Mikesch2, Björn Steffen3, Alwin Krämer4,5, Richard Noppeney6, Kerstin Schäfer-Eckart7, Stefan W Krause8, Mathias Hänel9, Regina Herbst9, Volker Kunzmann10, Hermann Einsele10, Edgar Jost11, Tim H Brümmendorf11, Sebastian Scholl12, Andreas Hochhaus12, Andreas Neubauer13, Kristina Sohlbach13, Lars Fransecky14, Martin Kaufmann15, Dirk Niemann16, Markus Schaich17, Norbert Frickhofen18, Alexander Kiani19, Frank Heits20, Ulrich Krümpelmann21, Ulrich Kaiser22, Johannes Kullmer23, Maxi Wass24, Friedrich Stölzel1, Malte von Bonin1, Jan Moritz Middeke1, Christian Thiede1, Johannes Schetelig1,25, Wolfgang E Berdel2, Gerhard Ehninger1, Claudia D Baldus13, Carsten Müller-Tidow4, Uwe Platzbecker26, Hubert Serve3, Martin Bornhäuser1.   

Abstract

In fit patients with newly diagnosed acute myeloid leukemia (AML), immediate treatment start is recommended due to the poor prognosis of untreated acute leukemia. We explored the relationship between time from diagnosis to treatment start (TDT) and prognosis in a large real-world data set from the German Study Alliance Leukemia-Acute Myeloid Leukemia (SAL-AML) registry. All registered non-acute promyelocytic leukemia patients with intensive induction treatment and a minimum 12 months of follow-up were selected (n = 2263). We analyzed influence of TDT on remission, early death, and overall survival (OS) in univariable analyses for each day of treatment delay, in groups of 0 to 5, 6 to 10, 11 to 15, and >15 days of TDT, adjusted for influence of established prognostic variables on outcomes. Median TDT was 3 days (interquartile range, 2-7). Unadjusted 2-year OS rates, stratified by TDT of 0 to 5, 6 to 10, 11 to 15, and >15 days, were 51%, 48%, 44%, and 50% (P = .211). In multivariable Cox regression analysis accounting for established prognostic variables, the TDT hazard ratio as a continuous variable was 1.00 (P = .617). In OS analyses, separately stratified for age ≤60 and >60 years and for high vs lower initial white blood cell count, no significant differences between TDT groups were observed. Our study suggests that TDT is not related to survival. As stratification in intensive first-line AML treatment evolves, TDT data suggest that it may be a feasible approach to wait for genetic and other laboratory test results so that clinically stable patients are assigned the best available treatment option. This trial was registered at www.clinicaltrials.gov as #NCT03188874.
© 2020 by The American Society of Hematology.

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Year:  2020        PMID: 32496541     DOI: 10.1182/blood.2019004583

Source DB:  PubMed          Journal:  Blood        ISSN: 0006-4971            Impact factor:   22.113


  19 in total

1.  Impact of treatment delay in acute myeloid leukemia revisited.

Authors:  Gunnar Juliusson; Oskar Hagberg; Vladimir Lj Lazarevic; Sören Lehmann; Martin Höglund
Journal:  Blood Adv       Date:  2021-02-09

Review 2.  Older Patients with Acute Myeloid Leukemia Deserve Individualized Treatment.

Authors:  David C de Leeuw; Gert J Ossenkoppele; Jeroen J W M Janssen
Journal:  Curr Oncol Rep       Date:  2022-06-02       Impact factor: 5.075

3.  Sodium Caseinate in Combination With Daunorubicin or Cytarabine Improves Survival of Mice With Long-established Leukemia.

Authors:  Itzen Aguiñiga-Sanchez; Edgar Ledesma-Martínez; Jose Luis Lara-Castañeda; Frida Melendez-Ibarra; Benny Weiss-Steider; Isabel Soto-Cruz; Guadalupe Fajardo-Orduña; Edelmiro Santiago-Osorio
Journal:  Cancer Diagn Progn       Date:  2022-07-03

4.  Time from diagnosis to treatment is associated with survival in patients with acute myeloid leukaemia: An analysis of 55 985 patients from the National Cancer Database.

Authors:  Aseel Alsouqi; Scott D Rothenberger; Michael Boyiadzis; Konstantinos Lontos
Journal:  Br J Haematol       Date:  2022-07-28       Impact factor: 8.615

Review 5.  Developing therapeutic approaches for chronic myeloid leukemia: a review.

Authors:  Veerandra Kumar; Malkhey Verma
Journal:  Mol Cell Biochem       Date:  2022-10-10       Impact factor: 3.842

Review 6.  New Treatment Options for Older Patients with Acute Myeloid Leukemia.

Authors:  Kapil Saxena; Marina Konopleva
Journal:  Curr Treat Options Oncol       Date:  2021-03-20

7.  Real-world challenges in the management of acute myeloid leukemia: a single-center experience from North India.

Authors:  Priyanka Chauhan; Anshul Gupta; M Gopinathan; Akanksha Garg; Smriti Khanna; Ruchi Gupta; Khaliqur Rahman; Dinesh Chandra; Manish Kumar Singh; Soniya Nityanand
Journal:  Ann Hematol       Date:  2022-03-24       Impact factor: 3.673

8.  The impact of lockdown during the COVID-19 pandemic on newly acute myeloid leukemia patients: Single-centre comparative study between 2019 and 2020 cohorts in Madrid.

Authors:  Fernando Martín-Moro; Claudia Núnez-Torrón; Lucía Pérez-Lamas; Carlos Jiménez-Chillón; Juan Marquet-Palomanes; Francisco Javier López-Jiménez; Pilar Herrera-Puente
Journal:  Leuk Res       Date:  2021-01-27       Impact factor: 3.156

Review 9.  Determination of fitness and therapeutic options in older patients with acute myeloid leukemia.

Authors:  Jorge E Cortes; Priyanka Mehta
Journal:  Am J Hematol       Date:  2021-01-12       Impact factor: 10.047

Review 10.  The Care of the Leukemic Patients in Times of SARS-CoV-2.

Authors:  Nabin Raj Karki; Thuy Le; Jorge Cortes
Journal:  Curr Oncol Rep       Date:  2021-08-03       Impact factor: 5.075

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