Risk stratification of prostate cancer through quantitative assessment of PTEN loss (qPTEN) (2020)
- Autores:
- Jamaspishvili, Tamara
- Patel, Palak G
- Niu, Yi
- Vidotto, Thiago
- Caven, Isabelle
- Livergant, Rachel
- Fu, Winnie
- Kawashima, Atsunari
- How, Nathan
- Okello, John B.
- Guedes, Liana B.
- Ouellet, Veronique
- Picanço, Clarissa
- Koti, Madhuri
- Reis, Rodolfo Borges dos
- Saad, Fred
- Mes-Masson, Anne-Marie
- Lotan, Tamara L
- Squire, Jeremy Andrew
- Peng, Yingwei P.
- Siemens, D. Robert
- Berman, David M.
- Autores USP: REIS, RODOLFO BORGES DOS - FMRP ; SQUIRE, JEREMY ANDREW - FMRP
- Unidade: FMRP
- DOI: 10.1093/jnci/djaa032
- Assuntos: PRÓSTATA; NEOPLASIAS; PROSTATECTOMIA; IMUNOHISTOQUÍMICA; ANÁLISE EM MICROSSÉRIES
- Agências de fomento:
- Idioma: Inglês
- Imprenta:
- Fonte:
- Título do periódico: JNCI: Journal of the National Cancer Institute
- ISSN: 0027-8874
- Volume/Número/Paginação/Ano: v. 112, n. 11, p. 1098-1104, 2020
- Este periódico é de assinatura
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: bronze
-
ABNT
JAMASPISHVILI, Tamara et al. Risk stratification of prostate cancer through quantitative assessment of PTEN loss (qPTEN). JNCI: Journal of the National Cancer Institute, v. 112, n. 11, p. 1098-1104, 2020Tradução . . Disponível em: https://doi.org/10.1093/jnci/djaa032. Acesso em: 03 jun. 2024. -
APA
Jamaspishvili, T., Patel, P. G., Niu, Y., Vidotto, T., Caven, I., Livergant, R., et al. (2020). Risk stratification of prostate cancer through quantitative assessment of PTEN loss (qPTEN). JNCI: Journal of the National Cancer Institute, 112( 11), 1098-1104. doi:10.1093/jnci/djaa032 -
NLM
Jamaspishvili T, Patel PG, Niu Y, Vidotto T, Caven I, Livergant R, Fu W, Kawashima A, How N, Okello JB, Guedes LB, Ouellet V, Picanço C, Koti M, Reis RB dos, Saad F, Mes-Masson A-M, Lotan TL, Squire JA, Peng YP, Siemens DR, Berman DM. Risk stratification of prostate cancer through quantitative assessment of PTEN loss (qPTEN) [Internet]. JNCI: Journal of the National Cancer Institute. 2020 ; 112( 11): 1098-1104.[citado 2024 jun. 03 ] Available from: https://doi.org/10.1093/jnci/djaa032 -
Vancouver
Jamaspishvili T, Patel PG, Niu Y, Vidotto T, Caven I, Livergant R, Fu W, Kawashima A, How N, Okello JB, Guedes LB, Ouellet V, Picanço C, Koti M, Reis RB dos, Saad F, Mes-Masson A-M, Lotan TL, Squire JA, Peng YP, Siemens DR, Berman DM. Risk stratification of prostate cancer through quantitative assessment of PTEN loss (qPTEN) [Internet]. JNCI: Journal of the National Cancer Institute. 2020 ; 112( 11): 1098-1104.[citado 2024 jun. 03 ] Available from: https://doi.org/10.1093/jnci/djaa032 - Quantitative measurement of PTEN loss improves risk assessment in prostate cancer
- Emerging role of PTEN loss in evasion of the immune response to tumours
- TCGA analysis identifies distinct genomic features of oncogenic progression and outcome associated with hemizygous PTEN loss tumors
- Analysis of the impact of ZEB1 expression on pathway enrichment and immune cell abundance in prostate cancer
- Quantitative assessment of PTEN loss (qPTEN) is strongly associated with biochemical recurrence and may improve treatment decisions after surgery
- Tumour genomic and microenvironmental heterogeneity for integrated prediction of 5-year biochemical recurrence of prostate cancer: a retrospective cohort study
- Digital expression profiling identifies RUNX2, CDC5L, MDM2, RECQL4, and CDK4 as potential predictive biomarkers for neo-adjuvant chemotherapy response in paediatric osteosarcoma
- Recurrent copy number alterations in prostate cancer: an in silico meta-analysis of publicly available genomic data
- Recurrent copy number alterations in prostate cancer: an in silico meta-analysis of publicly available genomic data
- Application of fluorescence in situ hybridization (FISH) and immunohistochemistry (IHC) for detecting PTEN loss in diagnostic prostate cancer needle biopsies
Informações sobre o DOI: 10.1093/jnci/djaa032 (Fonte: oaDOI API)
Download do texto completo
| Tipo | Nome | Link | |
|---|---|---|---|
 | 003027463.pdf |
Como citar
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
