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Real-world genomic profiling of acute myeloid leukemia and the impact of European LeukemiaNet risk stratification 2022 update
Alves da Rosa, Susana Elaine; Barbosa de Lima, Larissa; Nunes Silveira, Caroline; Ferreira Cortes, Luiz Gustavo; de Oliveira Filho, João Bosco; de Souza Reis, Rodrigo; Castro Cervato, Murilo; Sebe Rodrigues, Pedro Henrique; de Oliveira Pelegrino, Karla; Cardoso Petroni, Roberta.
Afiliação
  • Alves da Rosa, Susana Elaine; Hospital Israelita Albert Einstein. São Paulo. Brazil
  • Barbosa de Lima, Larissa; Hospital Israelita Albert Einstein. São Paulo. Brazil
  • Nunes Silveira, Caroline; Hospital Israelita Albert Einstein. São Paulo. Brazil
  • Ferreira Cortes, Luiz Gustavo; Hospital Israelita Albert Einstein. São Paulo. Brazil
  • de Oliveira Filho, João Bosco; Hospital Israelita Albert Einstein. São Paulo. Brazil
  • de Souza Reis, Rodrigo; Hospital Israelita Albert Einstein. São Paulo. Brazil
  • Castro Cervato, Murilo; Hospital Israelita Albert Einstein. São Paulo. Brazil
  • Sebe Rodrigues, Pedro Henrique; Hospital Israelita Albert Einstein. São Paulo. Brazil
  • de Oliveira Pelegrino, Karla; Hospital Israelita Albert Einstein. São Paulo. Brazil
  • Cardoso Petroni, Roberta; Hospital Israelita Albert Einstein. São Paulo. Brazil
Clin. transl. oncol. (Print) ; 25(12): 3431-3436, dec. 2023.
Article em En | IBECS | ID: ibc-227288
Biblioteca responsável: ES1.1
Localização: ES15.1 - BNCS
ABSTRACT
Backgroung 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 (AU)
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Coleções: 06-national / ES Base de dados: IBECS Assunto principal: Leucemia Monocítica Aguda Limite: Humans Idioma: En Revista: Clin. transl. oncol. (Print) Ano de publicação: 2023 Tipo de documento: Article
Buscar no Google
Coleções: 06-national / ES Base de dados: IBECS Assunto principal: Leucemia Monocítica Aguda Limite: Humans Idioma: En Revista: Clin. transl. oncol. (Print) Ano de publicação: 2023 Tipo de documento: Article