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A practical algorithm for acute myeloid leukaemia diagnosis following the updated 2022 classifications.
Della Porta, Matteo Giovanni; Martinelli, Giovanni; Rambaldi, Alessandro; Santoro, Alessandra; Voso, Maria Teresa.
Afiliação
  • Della Porta MG; Cancer Center, IRCCS Humanitas Research Hospital, Milan, Italy; Department of Biomedical Sciences, Humanitas University, Milan, Italy. Electronic address: matteo.della_porta@hunimed.eu.
  • Martinelli G; IRCCS Istituto Romagnolo per lo Studio dei Tumori "Dino Armadori", Meldola, Italy; University of Bologna, Bologna, Italy.
  • Rambaldi A; Department of Oncology and Hematology, University of Milan, Milan, Italy and Azienda Socio Sanitaria Territoriale Papa Giovanni XXIII, Bergamo, Italy.
  • Santoro A; UOSD Laboratory of Oncohematology, Cellular Manipulation and Cytogenetics, Department of Genetic, Oncohematology a Rare Disease, AOR "Villa Sofia-Cervello", Palermo, Italy.
  • Voso MT; UOSD Diagnostica Avanzata Oncoematologia, Policlinico Tor Vergata, and Department of Biomedicine and Prevention, Tor Vergata University, Rome, Italy.
Crit Rev Oncol Hematol ; 198: 104358, 2024 Jun.
Article em En | MEDLINE | ID: mdl-38615870
ABSTRACT
Disease classification of complex and heterogenous diseases, such as acute myeloid leukaemia (AML), is continuously updated to define diagnoses, appropriate treatments, and assist research and education. Recent availability of molecular profiling techniques further benefits the classification of AML. The World Health Organization (WHO) classification of haematolymphoid tumours and the International Consensus Classification of myeloid neoplasms and acute leukaemia from 2022 are two updated versions of the WHO 2016 classification. As a consequence, the European LeukemiaNet 2022 recommendations on the diagnosis and management of AML in adults have been also updated. The current review provides a practical interpretation of these guidelines to facilitate the diagnosis of AML and discusses genetic testing, disease genetic heterogeneity, and FLT3 mutations. We propose a practical algorithm for the speedy diagnosis of AML. Future classifications may need to incorporate gene mutation combinations to enable personalised treatment regimens in the management of patients with AML.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Algoritmos / Leucemia Mieloide Aguda / Mutação Limite: Humans Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Algoritmos / Leucemia Mieloide Aguda / Mutação Limite: Humans Idioma: En Ano de publicação: 2024 Tipo de documento: Article