Cell-of-origin patterns dominate the molecular classification of 10,000 tumors from 33 types of cancer (2018)
- Authors:
- USP affiliated authors: NOUSHMEHR, HOUTAN - FMRP ; CARLOTTI JUNIOR, CARLOS GILBERTO - FMRP ; SANTOS, JOSÉ SEBASTIÃO DOS - HRAC ; KEMP, RAFAEL - FMRP ; SANKARANKUTTY, AJITH KUMAR - FMRP ; TIRAPELLI, DANIELA PRETTI DA CUNHA - FMRP
- Unidades: FMRP; HRAC
- DOI: 10.1016/j.cell.2018.03.022
- Subjects: NEOPLASIAS; GENOMAS; PROTEÔMICA; METILAÇÃO DE DNA; MUTAÇÃO
- Keywords: TCGA; Cancer; Cell-of-origin; Genome; Methylome; Organs; Proteome; Subtypes; Tissues; Transcriptome
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Status:
- Artigo possui acesso gratuito no site do editor (Bronze Open Access)
- Versão do Documento:
- Versão publicada (Published version)
- Acessar versão aberta:
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ABNT
HOADLEY, Katherine A. et al. Cell-of-origin patterns dominate the molecular classification of 10,000 tumors from 33 types of cancer. Cell, v. 173, n. 2, p. 291-304.e1-e6, 2018Tradução . . Disponível em: https://doi.org/10.1016/j.cell.2018.03.022. Acesso em: 16 abr. 2026. -
APA
Hoadley, K. A., Noushmehr, H., Carlotti Júnior, C. G., Santos, J. S. dos, Kemp, R., Sankarankutty, A. K., & Tirapelli, D. P. da C. (2018). Cell-of-origin patterns dominate the molecular classification of 10,000 tumors from 33 types of cancer. Cell, 173( 2), 291-304.e1-e6. doi:10.1016/j.cell.2018.03.022 -
NLM
Hoadley KA, Noushmehr H, Carlotti Júnior CG, Santos JS dos, Kemp R, Sankarankutty AK, Tirapelli DP da C. Cell-of-origin patterns dominate the molecular classification of 10,000 tumors from 33 types of cancer [Internet]. Cell. 2018 ; 173( 2): 291-304.e1-e6.[citado 2026 abr. 16 ] Available from: https://doi.org/10.1016/j.cell.2018.03.022 -
Vancouver
Hoadley KA, Noushmehr H, Carlotti Júnior CG, Santos JS dos, Kemp R, Sankarankutty AK, Tirapelli DP da C. Cell-of-origin patterns dominate the molecular classification of 10,000 tumors from 33 types of cancer [Internet]. Cell. 2018 ; 173( 2): 291-304.e1-e6.[citado 2026 abr. 16 ] Available from: https://doi.org/10.1016/j.cell.2018.03.022 - Integrated genomic characterization of oesophageal carcinoma
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