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Artigo de periodico
DNA methylation-based signatures classify sporadic pituitary tumors according to clinicopathological features (2021)
Mosella, Maritza Queiroz Salas ; Sabedot, Thais Sarraf; Silva, Tiago Chedraoui ; Malta, Tathiane Maistro; Dezem, Felipe Segato; Asmaro, Karam P; Wells, Michael; Mukherjee, Abir; Poisson, Laila M; Snyder, James; Carvalho, Ana C. de; Walbert, Tobias; Aho, Todd; Kalkanis, Steven; Elias, Paula Conde Lamparelli ; Antonini, Sonir Roberto Rauber ; Rock, Jack; Noushmehr, Houtan ; Castro, Margaret de ; Castro, Ana Valéria
Fonte: Neuro-Oncology. Unidade: FMRP
Assuntos: ESTUDOS DE COORTES, METILAÇÃO DE DNA, NEOPLASIAS HIPOFISÁRIAS, PROGNÓSTICO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MOSELLA, Maritza Queiroz Salas et al. DNA methylation-based signatures classify sporadic pituitary tumors according to clinicopathological features. Neuro-Oncology, v. 23, n. 8, p. 1292-1303, 2021Tradução . . Disponível em: https://doi.org/10.1093/neuonc/noab044. Acesso em: 01 nov. 2024.
APA
Mosella, M. Q. S., Sabedot, T. S., Silva, T. C., Malta, T. M., Dezem, F. S., Asmaro, K. P., et al. (2021). DNA methylation-based signatures classify sporadic pituitary tumors according to clinicopathological features. Neuro-Oncology, 23( 8), 1292-1303. doi:10.1093/neuonc/noab044
NLM
Mosella MQS, Sabedot TS, Silva TC, Malta TM, Dezem FS, Asmaro KP, Wells M, Mukherjee A, Poisson LM, Snyder J, Carvalho AC de, Walbert T, Aho T, Kalkanis S, Elias PCL, Antonini SRR, Rock J, Noushmehr H, Castro M de, Castro AV. DNA methylation-based signatures classify sporadic pituitary tumors according to clinicopathological features [Internet]. Neuro-Oncology. 2021 ; 23( 8): 1292-1303.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1093/neuonc/noab044
Vancouver
Mosella MQS, Sabedot TS, Silva TC, Malta TM, Dezem FS, Asmaro KP, Wells M, Mukherjee A, Poisson LM, Snyder J, Carvalho AC de, Walbert T, Aho T, Kalkanis S, Elias PCL, Antonini SRR, Rock J, Noushmehr H, Castro M de, Castro AV. DNA methylation-based signatures classify sporadic pituitary tumors according to clinicopathological features [Internet]. Neuro-Oncology. 2021 ; 23( 8): 1292-1303.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1093/neuonc/noab044
Trabalho de evento-resumo periodico
Glioma cell-free DNA methylation marker for diagnosis and monitoring (2020)
Sabedot, Thais; Malta, Tathiane Maistro; Snyder, James; Nelson, Kevin; Wells, Michael; Carvalho, Ana de; Mukherjee, Abir; Chitale, Dhan; Mosella, Maritza Queiroz Salas ; Castro, Ana Valéria; Noushmehr, Houtan
Fonte: Clinical Cancer Research. Nome do evento: AACR Special Conference on Advances in Liquid Biopsies. Unidade: FMRP
Assuntos: BIOMARCADORES, METILAÇÃO DE DNA, GLIOMA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SABEDOT, Thais et al. Glioma cell-free DNA methylation marker for diagnosis and monitoring. Clinical Cancer Research. Philadelphia: Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo. Disponível em: https://doi.org/10.1158/1557-3265.LiqBiop20-A10. Acesso em: 01 nov. 2024. , 2020
APA
Sabedot, T., Malta, T. M., Snyder, J., Nelson, K., Wells, M., Carvalho, A. de, et al. (2020). Glioma cell-free DNA methylation marker for diagnosis and monitoring. Clinical Cancer Research. Philadelphia: Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo. doi:10.1158/1557-3265.LiqBiop20-A10
NLM
Sabedot T, Malta TM, Snyder J, Nelson K, Wells M, Carvalho A de, Mukherjee A, Chitale D, Mosella MQS, Castro AV, Noushmehr H. Glioma cell-free DNA methylation marker for diagnosis and monitoring [Internet]. Clinical Cancer Research. 2020 ; 26( 11):[citado 2024 nov. 01 ] Available from: https://doi.org/10.1158/1557-3265.LiqBiop20-A10
Vancouver
Sabedot T, Malta TM, Snyder J, Nelson K, Wells M, Carvalho A de, Mukherjee A, Chitale D, Mosella MQS, Castro AV, Noushmehr H. Glioma cell-free DNA methylation marker for diagnosis and monitoring [Internet]. Clinical Cancer Research. 2020 ; 26( 11):[citado 2024 nov. 01 ] Available from: https://doi.org/10.1158/1557-3265.LiqBiop20-A10
Trabalho de evento-resumo periodico
Serum cell-free DNA methylome-based signatures distinguish pituitary tumor from other neoplasias and by clinicopathologic features (2020)
Wells, Michael; Asmaro, karam; Sabedot, Thais; Mosella, Maritza Queiroz Salas ; Malta, Tathiane; Nelson, Kevin; Snyder, James; Kalkanis, Steven; Castro, Ana Valéria; Noushmehr, Houtan
Fonte: Clinical Cancer Research. Nome do evento: AACR Special Conference on Advances in Liquid Biopsies. Unidade: FMRP
Assuntos: METILAÇÃO DE DNA, GLÂNDULA PITUITÁRIA, NEOPLASIAS, BIÓPSIA, GLIOMA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
WELLS, Michael et al. Serum cell-free DNA methylome-based signatures distinguish pituitary tumor from other neoplasias and by clinicopathologic features. Clinical Cancer Research. Philadelphia: Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo. Disponível em: https://doi.org/10.1158/1557-3265.LiqBiop20-A11. Acesso em: 01 nov. 2024. , 2020
APA
Wells, M., Asmaro, karam, Sabedot, T., Mosella, M. Q. S., Malta, T., Nelson, K., et al. (2020). Serum cell-free DNA methylome-based signatures distinguish pituitary tumor from other neoplasias and by clinicopathologic features. Clinical Cancer Research. Philadelphia: Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo. doi:10.1158/1557-3265.LiqBiop20-A11
NLM
Wells M, Asmaro karam, Sabedot T, Mosella MQS, Malta T, Nelson K, Snyder J, Kalkanis S, Castro AV, Noushmehr H. Serum cell-free DNA methylome-based signatures distinguish pituitary tumor from other neoplasias and by clinicopathologic features [Internet]. Clinical Cancer Research. 2020 ; 26( 11):[citado 2024 nov. 01 ] Available from: https://doi.org/10.1158/1557-3265.LiqBiop20-A11
Vancouver
Wells M, Asmaro karam, Sabedot T, Mosella MQS, Malta T, Nelson K, Snyder J, Kalkanis S, Castro AV, Noushmehr H. Serum cell-free DNA methylome-based signatures distinguish pituitary tumor from other neoplasias and by clinicopathologic features [Internet]. Clinical Cancer Research. 2020 ; 26( 11):[citado 2024 nov. 01 ] Available from: https://doi.org/10.1158/1557-3265.LiqBiop20-A11

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