Data mining in acute myeloid leukemia: identification of disease biomarkers, prognostic factors, novel targets, and potential drugs (2023)
- Authors:
- USP affiliated authors: MACHADO NETO, JOÃO AGOSTINHO - ICB ; NASCIMENTO, MARIANE CRISTINA DO - FM ; GARNIQUE, ANALÍ DEL MILAGRO BERNABÉ - ICB ; LIMA, KELI CRISTINA DE - FM
- Unidades: ICB; FM
- DOI: 10.21037/tcr-23-993
- Subjects: FARMACOLOGIA; LEUCEMIA MIELOIDE AGUDA; BIOMARCADORES; DOENÇAS SANGUÍNEAS E LINFÁTICAS
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher: AME Publishing Company
- Publisher place: Shatin
- Date published: 2023
- Source:
- Título: Translational Cancer Research
- ISSN: 2219-6803
- Volume/Número/Paginação/Ano: v. 12, n. 9, p. 2235-2238, 2023
- Status:
- Artigo publicado em periódico de acesso aberto (Gold Open Access)
- Versão do Documento:
- Versão publicada (Published version)
- Acessar versão aberta:
-
ABNT
MACHADO NETO, João Agostinho et al. Data mining in acute myeloid leukemia: identification of disease biomarkers, prognostic factors, novel targets, and potential drugs. Translational Cancer Research. Shatin: AME Publishing Company. Disponível em: https://dx.doi.org/10.21037/tcr-23-993. Acesso em: 01 abr. 2026. , 2023 -
APA
Machado Neto, J. A., Nascimento, M. C. do, Garnique, A. D. M. B., & Lima, K. (2023). Data mining in acute myeloid leukemia: identification of disease biomarkers, prognostic factors, novel targets, and potential drugs. Translational Cancer Research. Shatin: AME Publishing Company. doi:10.21037/tcr-23-993 -
NLM
Machado Neto JA, Nascimento MC do, Garnique ADMB, Lima K. Data mining in acute myeloid leukemia: identification of disease biomarkers, prognostic factors, novel targets, and potential drugs [Internet]. Translational Cancer Research. 2023 ; 12( 9): 2235-2238.[citado 2026 abr. 01 ] Available from: https://dx.doi.org/10.21037/tcr-23-993 -
Vancouver
Machado Neto JA, Nascimento MC do, Garnique ADMB, Lima K. Data mining in acute myeloid leukemia: identification of disease biomarkers, prognostic factors, novel targets, and potential drugs [Internet]. Translational Cancer Research. 2023 ; 12( 9): 2235-2238.[citado 2026 abr. 01 ] Available from: https://dx.doi.org/10.21037/tcr-23-993 - All-trans retinoic acid potentiates cell death induced by quizartinib in acute myeloid leukemia with FLT3-ITD mutations
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