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:
- Este periódico é de assinatura
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: hybrid
- Licença: cc-by-nc-nd
-
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: 11 jan. 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 jan. 11 ] 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 jan. 11 ] Available from: https://doi.org/10.1016/j.cell.2018.03.022 - Integrated genomic characterization of oesophageal carcinoma
- Comprehensive analysis of alternative splicing across tumors from 8,705 patients
- Scalable open science approach for mutation calling of tumor exomes using multiple genomic pipelines
- Molecular characterization and clinical relevance of metabolic expression subtypes in human cancers
- Oncogenic signaling pathways in the cancer genome atlas
- Machine learning identifies stemness features associated with oncogenic dedifferentiation
- Comprehensive characterization of cancer driver genes and mutations
- Comprehensive molecular characterization of the hippo signaling pathway in cancer
- Somatic mutational landscape of splicing factor genes and their functional consequences across 33 cancer types
- The immune landscape of cancer
Informações sobre o DOI: 10.1016/j.cell.2018.03.022 (Fonte: oaDOI API)
Download do texto completo
| Tipo | Nome | Link | |
|---|---|---|---|
 |
002936942.pdf | Direct link |
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
