DNA methylation profiling to predict recurrence risk in meningioma: development and validation of a nomogram to optimize clinical management (2019)
- Authors:
- Autor USP: NOUSHMEHR, HOUTAN - FMRP
- Unidade: FMRP
- DOI: 10.1093/neuonc/noz061
- Subjects: MENINGIOMA; METILAÇÃO; DNA; RADIOTERAPIA; ESTUDOS DE VALIDAÇÃO
- Keywords: Methylation; Meningioma; Nomogram; Predictor; Recurrence
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Neuro-Oncology
- ISSN: 1522-8517
- Volume/Número/Paginação/Ano: v. 21, n. 7, p. 901-910, 2019
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
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ABNT
NASSIRI, Farshad et al. DNA methylation profiling to predict recurrence risk in meningioma: development and validation of a nomogram to optimize clinical management. Neuro-Oncology, v. 21, n. 7, p. 901-910, 2019Tradução . . Disponível em: https://doi.org/10.1093/neuonc/noz061. Acesso em: 12 fev. 2026. -
APA
Nassiri, F., Mamatjan, Y., Suppiah, S., Badhiwala, J. H., Mansouri, S., Karimi, S., et al. (2019). DNA methylation profiling to predict recurrence risk in meningioma: development and validation of a nomogram to optimize clinical management. Neuro-Oncology, 21( 7), 901-910. doi:10.1093/neuonc/noz061 -
NLM
Nassiri F, Mamatjan Y, Suppiah S, Badhiwala JH, Mansouri S, Karimi S, Saarela O, Poisson L, Gepfner-Tuma I, Schittenhelm J, Noushmehr H. DNA methylation profiling to predict recurrence risk in meningioma: development and validation of a nomogram to optimize clinical management [Internet]. Neuro-Oncology. 2019 ; 21( 7): 901-910.[citado 2026 fev. 12 ] Available from: https://doi.org/10.1093/neuonc/noz061 -
Vancouver
Nassiri F, Mamatjan Y, Suppiah S, Badhiwala JH, Mansouri S, Karimi S, Saarela O, Poisson L, Gepfner-Tuma I, Schittenhelm J, Noushmehr H. DNA methylation profiling to predict recurrence risk in meningioma: development and validation of a nomogram to optimize clinical management [Internet]. Neuro-Oncology. 2019 ; 21( 7): 901-910.[citado 2026 fev. 12 ] Available from: https://doi.org/10.1093/neuonc/noz061 - TCGA workflow: analyze cancer genomics and epigenomics data using bioconductor packages [version 2; referees: 1 approved, 2 approved with reservations]
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Informações sobre o DOI: 10.1093/neuonc/noz061 (Fonte: oaDOI API)
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