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Real-world genomic profiling of acute myeloid leukemia and the impact of European LeukemiaNet risk stratification 2022 update.
da Rosa, Susana Elaine Alves; de Lima, Larissa Barbosa; Silveira, Caroline Nunes; Cortes, Luiz Gustavo Ferreira; de Oliveira Filho, João Bosco; de Souza Reis, Rodrigo; Cervato, Murilo Castro; Rodrigues, Pedro Henrique Sebe; de Oliveira Pelegrino, Karla; Petroni, Roberta Cardoso; da Silva Araujo, Erica; Campregher, Paulo Vidal.
Afiliação
  • da Rosa SEA; Hospital Israelita Albert Einstein, São Paulo, Brazil.
  • de Lima LB; Hospital Israelita Albert Einstein, São Paulo, Brazil.
  • Silveira CN; Hospital Israelita Albert Einstein, São Paulo, Brazil.
  • Cortes LGF; Hospital Israelita Albert Einstein, São Paulo, Brazil.
  • de Oliveira Filho JB; Hospital Israelita Albert Einstein, São Paulo, Brazil.
  • de Souza Reis R; Hospital Israelita Albert Einstein, São Paulo, Brazil.
  • Cervato MC; Hospital Israelita Albert Einstein, São Paulo, Brazil.
  • Rodrigues PHS; Hospital Israelita Albert Einstein, São Paulo, Brazil.
  • de Oliveira Pelegrino K; Hospital Israelita Albert Einstein, São Paulo, Brazil.
  • Petroni RC; Hospital Israelita Albert Einstein, São Paulo, Brazil.
  • da Silva Araujo E; Hospital Israelita Albert Einstein, São Paulo, Brazil.
  • Campregher PV; Hospital Israelita Albert Einstein, São Paulo, Brazil. paulo.campregher@einstein.br.
Clin Transl Oncol ; 25(12): 3431-3436, 2023 Dec.
Article em En | MEDLINE | ID: mdl-37165281
BACKGROUND: Acute myeloid leukemia (AML) is a myeloid neoplasm associated with a high morbidity and mortality. The diagnosis, risk stratification and therapy selection in AML have changed substantially in the last decade with the progressive incorporation of clinically relevant molecular markers. METHODS: In this work, our aim was to describe a real-world genomic profiling experience in AML and to demonstrate the impact of the European Leukemia Net 2022 update on risk stratification in AML. RESULTS AND DISCUSSION: One hundred and forty-one patients were evaluated with an amplicon-based multi-gene next-generation sequencing (NGS) panel. The most commonly mutated genes were FLT3, DNMT3A, RUNX1, IDH2, NPM1, ASXL1, SRSF2, NRAS, TP53 and TET2. Detection of FLT3 ITD with NGS had a sensitivity of 96.3% when compared to capillary electrophoresis. According to ELN 2017, 26.6%, 20.1%, and 53.3% of patients were classified as having a good, moderate, or unfavorable risk. When ELN 2022 was used, 15.6%, 27.8%, and 56.6% of patients were classified as favorable, moderate, or unfavorable risk, respectively. When ELN 2022 was compared to ELN 2017, thirteen patients (14.4%) exhibited a different risk classification, with a significant decrease in the number of favorable risk patients, what has immediate clinical impact. CONCLUSIONS: In conclusion, we have described a real-world genomic profiling experience in AML and the impact of the 2022 ELN update on risk stratification.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Leucemia Mieloide Aguda / Nucleofosmina Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Leucemia Mieloide Aguda / Nucleofosmina Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article