ReP USP - Resultado da busca

Artigo de periodico
A serum-based DNA methylation assay provides accurate detection of glioma (2021)
Sabedot, Thais S; Malta, Tathiane M; Snyder, James; Nelson, Kevin; Wells, Michael; Carvalho, Ana C. de; Mukherjee, Abir; Chitale, Dhananjay A; Mosella, Maritza S; Sokolov, Artem; Asmaro, Karam P; Robin, Adam; Rosenblum, Mark L; Mikkelsen, Tom; Rock, Jack; Poisson, Laila M; Lee, Ian; Walbert, Tobias; Kalkanis, Steven; Iavarone, Antonio; Castro, Ana Valeria; Noushmehr, Houtan
Fonte: Neuro-Oncology. Unidade: FMRP
Assuntos: BIOMARCADORES, GLIOMA, NEOPLASIAS CEREBRAIS, METILAÇÃO DE DNA, EPIGÊNESE GENÉTICA, BIÓPSIA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SABEDOT, Thais S et al. A serum-based DNA methylation assay provides accurate detection of glioma. Neuro-Oncology, v. 23, n. 9, p. 1494-1508, 2021Tradução . . Disponível em: https://doi.org/10.1093/neuonc/noab023. Acesso em: 20 jul. 2024.
APA
Sabedot, T. S., Malta, T. M., Snyder, J., Nelson, K., Wells, M., Carvalho, A. C. de, et al. (2021). A serum-based DNA methylation assay provides accurate detection of glioma. Neuro-Oncology, 23( 9), 1494-1508. doi:10.1093/neuonc/noab023
NLM
Sabedot TS, Malta TM, Snyder J, Nelson K, Wells M, Carvalho AC de, Mukherjee A, Chitale DA, Mosella MS, Sokolov A, Asmaro KP, Robin A, Rosenblum ML, Mikkelsen T, Rock J, Poisson LM, Lee I, Walbert T, Kalkanis S, Iavarone A, Castro AV, Noushmehr H. A serum-based DNA methylation assay provides accurate detection of glioma [Internet]. Neuro-Oncology. 2021 ; 23( 9): 1494-1508.[citado 2024 jul. 20 ] Available from: https://doi.org/10.1093/neuonc/noab023
Vancouver
Sabedot TS, Malta TM, Snyder J, Nelson K, Wells M, Carvalho AC de, Mukherjee A, Chitale DA, Mosella MS, Sokolov A, Asmaro KP, Robin A, Rosenblum ML, Mikkelsen T, Rock J, Poisson LM, Lee I, Walbert T, Kalkanis S, Iavarone A, Castro AV, Noushmehr H. A serum-based DNA methylation assay provides accurate detection of glioma [Internet]. Neuro-Oncology. 2021 ; 23( 9): 1494-1508.[citado 2024 jul. 20 ] Available from: https://doi.org/10.1093/neuonc/noab023
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: 20 jul. 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 jul. 20 ] 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 jul. 20 ] 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: 20 jul. 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 jul. 20 ] 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 jul. 20 ] 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: 20 jul. 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 jul. 20 ] 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 jul. 20 ] Available from: https://doi.org/10.1158/1557-3265.LiqBiop20-A11
Trabalho de evento-resumo periodico
Epigenomics of the glioma longitudinal analysis (glass) consortium (2020)
Sabedot, Thais; Wells, Michael; Datta, Indrani; Malta, Tathiane; Castro, Ana Valeria; Poisson, Laila M; Verhaak, Roel; Iavarone, Antonio; Noushmehr, Houtan
Fonte: Neuro-Oncology. Nome do evento: Annual Scientific Meeting and Education Day of the Society for Neuro-Oncology. Unidade: FMRP
Assuntos: GLIOMA, NEOPLASIAS CEREBRAIS, METILAÇÃO DE DNA, EPIGÊNESE GENÉTICA, BIOMARCADORES
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SABEDOT, Thais et al. Epigenomics of the glioma longitudinal analysis (glass) consortium. Neuro-Oncology. Cary: Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo. Disponível em: https://doi.org/10.1093/neuonc/noaa215.308. Acesso em: 20 jul. 2024. , 2020
APA
Sabedot, T., Wells, M., Datta, I., Malta, T., Castro, A. V., Poisson, L. M., et al. (2020). Epigenomics of the glioma longitudinal analysis (glass) consortium. Neuro-Oncology. Cary: Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo. doi:10.1093/neuonc/noaa215.308
NLM
Sabedot T, Wells M, Datta I, Malta T, Castro AV, Poisson LM, Verhaak R, Iavarone A, Noushmehr H. Epigenomics of the glioma longitudinal analysis (glass) consortium [Internet]. Neuro-Oncology. 2020 ; 22( suppl. 2): ii75.[citado 2024 jul. 20 ] Available from: https://doi.org/10.1093/neuonc/noaa215.308
Vancouver
Sabedot T, Wells M, Datta I, Malta T, Castro AV, Poisson LM, Verhaak R, Iavarone A, Noushmehr H. Epigenomics of the glioma longitudinal analysis (glass) consortium [Internet]. Neuro-Oncology. 2020 ; 22( suppl. 2): ii75.[citado 2024 jul. 20 ] Available from: https://doi.org/10.1093/neuonc/noaa215.308
Trabalho de evento-resumo periodico
Clinical data that matters: a distillation of neuro-oncology clinical trial inclusion criteria using machine learning (2019)
Snyder, James; Wells, Michael; Poisson, Laila; Kalkanis, Steven; Noushmehr, Houtan ; Robin, Adam
Fonte: Neuro-oncology. Nome do evento: Annual Scientific Meeting and Education Day of the Society for Neuro-Oncology. Unidade: FMRP
Assuntos: ENSAIO CLÍNICO, MENINGIOMA, GLÂNDULA PITUITÁRIA, NEOPLASIAS CEREBRAIS, ASTROCITOMA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SNYDER, James et al. Clinical data that matters: a distillation of neuro-oncology clinical trial inclusion criteria using machine learning. Neuro-oncology. Oxford: Society for Neuro-Oncology. Disponível em: https://doi.org/10.1093/neuonc/noz175.558. Acesso em: 20 jul. 2024. , 2019
APA
Snyder, J., Wells, M., Poisson, L., Kalkanis, S., Noushmehr, H., & Robin, A. (2019). Clinical data that matters: a distillation of neuro-oncology clinical trial inclusion criteria using machine learning. Neuro-oncology. Oxford: Society for Neuro-Oncology. doi:10.1093/neuonc/noz175.558
NLM
Snyder J, Wells M, Poisson L, Kalkanis S, Noushmehr H, Robin A. Clinical data that matters: a distillation of neuro-oncology clinical trial inclusion criteria using machine learning [Internet]. Neuro-oncology. 2019 ; 21 vi133.[citado 2024 jul. 20 ] Available from: https://doi.org/10.1093/neuonc/noz175.558
Vancouver
Snyder J, Wells M, Poisson L, Kalkanis S, Noushmehr H, Robin A. Clinical data that matters: a distillation of neuro-oncology clinical trial inclusion criteria using machine learning [Internet]. Neuro-oncology. 2019 ; 21 vi133.[citado 2024 jul. 20 ] Available from: https://doi.org/10.1093/neuonc/noz175.558
Trabalho de evento-resumo periodico
DNA methylation signatures detected in a serum-based liquid biopsy distinguish functional and invasiveness features in pituitary adenomas (2019)
Wells, Michael; Sabedot, Thais Sarraf; Asmaro, Karam; Mosella, Maritza Queiroz Salas ; Malta, Tathiane; Nelson, Kevin; Snyder, James; Carvalho, Ana de; Mukherjee, Abir; Bahn, Arti; Robin, Adam; Rosenblum, Mark; Mikkelsen, Tom; Poisson, Laila; Lee, Ian; Walbert, Tobias; Kalkanis, Steven; Rock, Jack; Noushmehr, Houtan ; Chitale, Dhananjay; Castro, Anavaleria
Fonte: Neuro-oncology. Nome do evento: Annual Scientific Meeting and Education Day of the Society for Neuro-Oncology. Unidade: FMRP
Assuntos: NEOPLASIAS, GLÂNDULA PITUITÁRIA, METILAÇÃO DE DNA, MARCADOR MOLECULAR
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
WELLS, Michael et al. DNA methylation signatures detected in a serum-based liquid biopsy distinguish functional and invasiveness features in pituitary adenomas. Neuro-oncology. Oxford: Society for Neuro-Oncology. Disponível em: https://doi.org/10.1093/neuonc/noz175.426. Acesso em: 20 jul. 2024. , 2019
APA
Wells, M., Sabedot, T. S., Asmaro, K., Mosella, M. Q. S., Malta, T., Nelson, K., et al. (2019). DNA methylation signatures detected in a serum-based liquid biopsy distinguish functional and invasiveness features in pituitary adenomas. Neuro-oncology. Oxford: Society for Neuro-Oncology. doi:10.1093/neuonc/noz175.426
NLM
Wells M, Sabedot TS, Asmaro K, Mosella MQS, Malta T, Nelson K, Snyder J, Carvalho A de, Mukherjee A, Bahn A, Robin A, Rosenblum M, Mikkelsen T, Poisson L, Lee I, Walbert T, Kalkanis S, Rock J, Noushmehr H, Chitale D, Castro A. DNA methylation signatures detected in a serum-based liquid biopsy distinguish functional and invasiveness features in pituitary adenomas [Internet]. Neuro-oncology. 2019 ; 21 vi102.[citado 2024 jul. 20 ] Available from: https://doi.org/10.1093/neuonc/noz175.426
Vancouver
Wells M, Sabedot TS, Asmaro K, Mosella MQS, Malta T, Nelson K, Snyder J, Carvalho A de, Mukherjee A, Bahn A, Robin A, Rosenblum M, Mikkelsen T, Poisson L, Lee I, Walbert T, Kalkanis S, Rock J, Noushmehr H, Chitale D, Castro A. DNA methylation signatures detected in a serum-based liquid biopsy distinguish functional and invasiveness features in pituitary adenomas [Internet]. Neuro-oncology. 2019 ; 21 vi102.[citado 2024 jul. 20 ] Available from: https://doi.org/10.1093/neuonc/noz175.426
Trabalho de evento-resumo periodico
Deep learning classification of neuro-oncology medical documents (2019)
Wells, Michael; Sabedot, Thais; Malta, Tathiane Maistro; Snyder, James; Poisson, Laila; Noushmehr, Houtan
Fonte: Cancer Research. Nome do evento: Annual Meeting American Association for Cancer Research - AACR. Unidade: FMRP
Assuntos: NEUROLOGIA, ONCOLOGIA, REDES NEURAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
WELLS, Michael et al. Deep learning classification of neuro-oncology medical documents. Cancer Research. Baltimore: Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo. Disponível em: https://doi.org/10.1158/1538-7445.AM2019-1640. Acesso em: 20 jul. 2024. , 2019
APA
Wells, M., Sabedot, T., Malta, T. M., Snyder, J., Poisson, L., & Noushmehr, H. (2019). Deep learning classification of neuro-oncology medical documents. Cancer Research. Baltimore: Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo. doi:10.1158/1538-7445.AM2019-1640
NLM
Wells M, Sabedot T, Malta TM, Snyder J, Poisson L, Noushmehr H. Deep learning classification of neuro-oncology medical documents [Internet]. Cancer Research. 2019 ; 79( 13):[citado 2024 jul. 20 ] Available from: https://doi.org/10.1158/1538-7445.AM2019-1640
Vancouver
Wells M, Sabedot T, Malta TM, Snyder J, Poisson L, Noushmehr H. Deep learning classification of neuro-oncology medical documents [Internet]. Cancer Research. 2019 ; 79( 13):[citado 2024 jul. 20 ] Available from: https://doi.org/10.1158/1538-7445.AM2019-1640
Trabalho de evento-resumo periodico
Pre-surgical identification of diagnostic, prognostic and predictive DNA methylation-based markers in serum (liquid biopsy) of patients harboring gliomas (2019)
Noushmehr, Houtan ; Sabedot, Thais S.; Malta, Tathiane M.; Nelson, Kevin K.; Snyder, James; Wells, Michael; Mosella, Maritza S.; Carvalho, Ana de; Asmaro, karam; Scarpace, Lisa; Robin, Adam M.; Rosenblum, Mark L.; Mikkelsen, Tom; Rock, Jack; Walbert, Tobias; Lee, Ian; Poisson, Laila M.; Kalkanis, Steven N.; Castro, Ana V.
Fonte: Cancer Research. Nome do evento: Annual Meeting American Association for Cancer Research - AACR. Unidade: FMRP
Assuntos: NEOPLASIAS OVARIANAS, GENÉTICA MÉDICA, TUMOR CARCINOIDE, GLIOMA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
NOUSHMEHR, Houtan et al. Pre-surgical identification of diagnostic, prognostic and predictive DNA methylation-based markers in serum (liquid biopsy) of patients harboring gliomas. Cancer Research. Baltimore: Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo. Disponível em: https://doi.org/10.1158/1538-7445.AM2019-LB-234. Acesso em: 20 jul. 2024. , 2019
APA
Noushmehr, H., Sabedot, T. S., Malta, T. M., Nelson, K. K., Snyder, J., Wells, M., et al. (2019). Pre-surgical identification of diagnostic, prognostic and predictive DNA methylation-based markers in serum (liquid biopsy) of patients harboring gliomas. Cancer Research. Baltimore: Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo. doi:10.1158/1538-7445.AM2019-LB-234
NLM
Noushmehr H, Sabedot TS, Malta TM, Nelson KK, Snyder J, Wells M, Mosella MS, Carvalho A de, Asmaro karam, Scarpace L, Robin AM, Rosenblum ML, Mikkelsen T, Rock J, Walbert T, Lee I, Poisson LM, Kalkanis SN, Castro AV. Pre-surgical identification of diagnostic, prognostic and predictive DNA methylation-based markers in serum (liquid biopsy) of patients harboring gliomas [Internet]. Cancer Research. 2019 ; 79( 13): .[citado 2024 jul. 20 ] Available from: https://doi.org/10.1158/1538-7445.AM2019-LB-234
Vancouver
Noushmehr H, Sabedot TS, Malta TM, Nelson KK, Snyder J, Wells M, Mosella MS, Carvalho A de, Asmaro karam, Scarpace L, Robin AM, Rosenblum ML, Mikkelsen T, Rock J, Walbert T, Lee I, Poisson LM, Kalkanis SN, Castro AV. Pre-surgical identification of diagnostic, prognostic and predictive DNA methylation-based markers in serum (liquid biopsy) of patients harboring gliomas [Internet]. Cancer Research. 2019 ; 79( 13): .[citado 2024 jul. 20 ] Available from: https://doi.org/10.1158/1538-7445.AM2019-LB-234

Unidades USP

ReP

Filtros

Autores

Assuntos

Agência de fomento

Indexado em

Afiliação dos autores externos não normalizada