Combining gene mutation with gene expression analysis improves outcome prediction in acute promyelocytic leukemia
Author(s) -
Antonio R. LucenaAraujo,
Juan Luiz CoelhoSilva,
Diego A. PereiraMartins,
Douglas RA Silveira,
Luisa C A Koury,
Raul Antônio Morais Melo,
Rosane Bittencourt,
Kátia Bórgia Barbosa Pagnano,
Ricardo Pasqüini,
Elenaide C. Nunes,
Evandro M. Fagundes,
Ana Glória,
Fábio R. Kerbauy,
Maria de Lourdes Chauffaille,
Israel Bendit,
Vanderson Rocha,
Armand Keating,
Martin S. Tallman,
Raul C. Ribeiro,
Richard Dillon,
Arnold Ganser,
Bob Löwenberg,
Peter J.M. Valk,
Francesco LoCoco,
Miguel Á. Sanz,
Nancy Berliner,
Eduardo Magalhães Rego
Publication year - 2019
Publication title -
blood
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 5.515
H-Index - 465
eISSN - 1528-0020
pISSN - 0006-4971
DOI - 10.1182/blood.2019000239
Subject(s) - acute promyelocytic leukemia , myeloid leukemia , anthracycline , oncology , medicine , retinoic acid , mutation , tretinoin , daunorubicin , gene , leukemia , malignancy , cancer research , bioinformatics , genetics , biology , cancer , breast cancer
Luceno-Araujo et al use assays of mutations associated with myeloid malignancy to propose an integrative prognostic score for acute promyelocytic leukemia (ISAPL) in patients treated with all-trans retinoic acid and anthracycline-based therapy. They demonstrate that the ISAPL is superior for predicting outcomes and identifying patients who may benefit from alternative therapies to maximize their chance of a cure.
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