Literature DB >> 35653050

Older Patients with Acute Myeloid Leukemia Deserve Individualized Treatment.

David C de Leeuw1, Gert J Ossenkoppele2, Jeroen J W M Janssen2.   

Abstract

PURPOSE OF REVIEW: Treatment of elderly patients with acute myeloid leukemia is a known challenge for hematologists due to patient diversity, heterogeneous disease biology, and a rapidly evolving treatment landscape. Here, we highlight the importance of determining fitness, review the latest therapeutic developments, and discuss clinical scenarios to provide guidance on individualized treatment for older AML patients. RECENT
FINDINGS: Several factors, like age, performance status, and comorbidities, play a role in fitness and are associated with outcome. Comorbidity scoring systems and geriatric assessments are tools to help physicians select the most appropriate treatment for each patient. The addition of venetoclax, targeted therapy with IDH1/2 and FLT3 inhibitors, and enhanced formulas of existing drugs like CPX-351 and oral azacitidine have improved responses and outcomes. New drugs and combination therapies have increased the therapeutic options for elderly AML patients but determination of fitness and disease biology is essential to select patient-tailored treatments.
© 2022. The Author(s).

Entities:  

Keywords:  Acute myeloid leukemia; Azacitidine; CC-486; CPX-351; Decitabine; Elderly; Enasidenib; FTL3 inhibitors; Fitness; Gemutuzumab ozogamicin; Gilteritinib; Glasdegib; Hematopoietic stem cell transplantation; Hypomethylating agents; IDH inhibitors; Intensive chemotherapy; Ivosidenib; Midostaurin; Targeted therapy; Treatment; Venetoclax; Vyxeos

Year:  2022        PMID: 35653050     DOI: 10.1007/s11912-022-01299-9

Source DB:  PubMed          Journal:  Curr Oncol Rep        ISSN: 1523-3790            Impact factor:   5.075


  79 in total

1.  Genomic Classification and Prognosis in Acute Myeloid Leukemia.

Authors:  Elli Papaemmanuil; Moritz Gerstung; Hartmut Döhner; Peter J Campbell; Lars Bullinger; Verena I Gaidzik; Peter Paschka; Nicola D Roberts; Nicola E Potter; Michael Heuser; Felicitas Thol; Niccolo Bolli; Gunes Gundem; Peter Van Loo; Inigo Martincorena; Peter Ganly; Laura Mudie; Stuart McLaren; Sarah O'Meara; Keiran Raine; David R Jones; Jon W Teague; Adam P Butler; Mel F Greaves; Arnold Ganser; Konstanze Döhner; Richard F Schlenk
Journal:  N Engl J Med       Date:  2016-06-09       Impact factor: 91.245

2.  Older patients with acute myeloid leukemia benefit from intensive chemotherapy: an update from the Swedish Acute Leukemia Registry.

Authors:  Gunnar Juliusson
Journal:  Clin Lymphoma Myeloma Leuk       Date:  2011-05-04

3.  Age-dependent frequencies of NPM1 mutations and FLT3-ITD in patients with normal karyotype AML (NK-AML).

Authors:  Friederike Schneider; Eva Hoster; Stephanie Schneider; Annika Dufour; Tobias Benthaus; Purvi M Kakadia; Stefan K Bohlander; Jan Braess; Achim Heinecke; Maria C Sauerland; Wolfgang E Berdel; Thomas Buechner; Bernhard J Woermann; Michaela Feuring-Buske; Christian Buske; Ursula Creutzig; Christian Thiede; Michel C Zwaan; Marry M van den Heuvel-Eibrink; Dirk Reinhardt; Wolfgang Hiddemann; Karsten Spiekermann
Journal:  Ann Hematol       Date:  2011-07-09       Impact factor: 3.673

4.  The predictive value of hierarchical cytogenetic classification in older adults with acute myeloid leukemia (AML): analysis of 1065 patients entered into the United Kingdom Medical Research Council AML11 trial.

Authors:  D Grimwade; H Walker; G Harrison; F Oliver; S Chatters; C J Harrison; K Wheatley; A K Burnett; A H Goldstone
Journal:  Blood       Date:  2001-09-01       Impact factor: 22.113

5.  Age and acute myeloid leukemia.

Authors:  Frederick R Appelbaum; Holly Gundacker; David R Head; Marilyn L Slovak; Cheryl L Willman; John E Godwin; Jeanne E Anderson; Stephen H Petersdorf
Journal:  Blood       Date:  2006-02-02       Impact factor: 22.113

6.  International phase 3 study of azacitidine vs conventional care regimens in older patients with newly diagnosed AML with >30% blasts.

Authors:  Hervé Dombret; John F Seymour; Aleksandra Butrym; Agnieszka Wierzbowska; Dominik Selleslag; Jun Ho Jang; Rajat Kumar; James Cavenagh; Andre C Schuh; Anna Candoni; Christian Récher; Irwindeep Sandhu; Teresa Bernal del Castillo; Haifa Kathrin Al-Ali; Giovanni Martinelli; Jose Falantes; Richard Noppeney; Richard M Stone; Mark D Minden; Heidi McIntyre; Steve Songer; Lela M Lucy; C L Beach; Hartmut Döhner
Journal:  Blood       Date:  2015-05-18       Impact factor: 22.113

7.  Cytogenetic analogy between myelodysplastic syndrome and acute myeloid leukemia of elderly patients.

Authors:  G Rossi; A M Pelizzari; D Bellotti; M Tonelli; S Barlati
Journal:  Leukemia       Date:  2000-04       Impact factor: 11.528

8.  The changing prevalence of comorbidity across the age spectrum.

Authors:  Jay F Piccirillo; Anna Vlahiotis; Laurel B Barrett; Kellie L Flood; Edward L Spitznagel; Ewout W Steyerberg
Journal:  Crit Rev Oncol Hematol       Date:  2008-03-28       Impact factor: 6.312

9.  Value of Different Comorbidity Indices for Predicting Outcome in Patients with Acute Myeloid Leukemia.

Authors:  Maxi Wass; Friederike Hitz; Judith Schaffrath; Carsten Müller-Tidow; Lutz P Müller
Journal:  PLoS One       Date:  2016-10-12       Impact factor: 3.240

Review 10.  Acute myeloid leukemia: current progress and future directions.

Authors:  Hagop Kantarjian; Tapan Kadia; Courtney DiNardo; Naval Daver; Gautam Borthakur; Elias Jabbour; Guillermo Garcia-Manero; Marina Konopleva; Farhad Ravandi
Journal:  Blood Cancer J       Date:  2021-02-22       Impact factor: 11.037

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  1 in total

Review 1.  MRD Monitoring by Multiparametric Flow Cytometry in AML: Is It Time to Incorporate Immune Parameters?

Authors:  Ilias Pessach; Theodoros Spyropoulos; Eleftheria Lamprianidou; Ioannis Kotsianidis
Journal:  Cancers (Basel)       Date:  2022-09-01       Impact factor: 6.575

  1 in total

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