High throughput assessment of biomarkers in tissue microarrays using artificial intelligence: PTEN loss as a proof-of-principle in multi-center prostate cancer cohorts (2021)
- Authors:
- Autor USP: SQUIRE, JEREMY ANDREW - FMRP
- Unidade: FMRP
- DOI: 10.1038/s41379-020-00674-w
- Subjects: ALGORITMOS; BIOMARCADORES; ESTUDOS DE COORTES; SEQUENCIAMENTO GENÉTICO; IMAGEM DIGITAL; NEOPLASIAS PROSTÁTICAS
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Modern Pathology
- ISSN: 0893-3952
- Volume/Número/Paginação/Ano: v. 34, p. 478-489, 2020
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
HARMON, Stephanie A. et al. High throughput assessment of biomarkers in tissue microarrays using artificial intelligence: PTEN loss as a proof-of-principle in multi-center prostate cancer cohorts. Modern Pathology, v. 34, p. 478-489, 2021Tradução . . Disponível em: https://doi.org/10.1038/s41379-020-00674-w. Acesso em: 27 jan. 2026. -
APA
Harmon, S. A., Patel, P. G., Sanford, T. H., Caven, I., Iseman, R., Vidotto, T., et al. (2021). High throughput assessment of biomarkers in tissue microarrays using artificial intelligence: PTEN loss as a proof-of-principle in multi-center prostate cancer cohorts. Modern Pathology, 34, 478-489. doi:10.1038/s41379-020-00674-w -
NLM
Harmon SA, Patel PG, Sanford TH, Caven I, Iseman R, Vidotto T, Picanço C, Squire JA, Masoudi S, Mehralivand S, Choyke PL, Berman DM, Turkbey B, Jamaspishvili T. High throughput assessment of biomarkers in tissue microarrays using artificial intelligence: PTEN loss as a proof-of-principle in multi-center prostate cancer cohorts [Internet]. Modern Pathology. 2021 ; 34 478-489.[citado 2026 jan. 27 ] Available from: https://doi.org/10.1038/s41379-020-00674-w -
Vancouver
Harmon SA, Patel PG, Sanford TH, Caven I, Iseman R, Vidotto T, Picanço C, Squire JA, Masoudi S, Mehralivand S, Choyke PL, Berman DM, Turkbey B, Jamaspishvili T. High throughput assessment of biomarkers in tissue microarrays using artificial intelligence: PTEN loss as a proof-of-principle in multi-center prostate cancer cohorts [Internet]. Modern Pathology. 2021 ; 34 478-489.[citado 2026 jan. 27 ] Available from: https://doi.org/10.1038/s41379-020-00674-w - Extracellular vesicles: evolving factors in stem cell biology
- Quantitative assessment of PTEN loss (qPTEN) is strongly associated with biochemical recurrence and may improve treatment decisions after surgery
- In silico shows that PTEN loss and AR overexpression are associated with increased CD8+ T-cell and Treg density and earlier disease recurrence in prostate cancer
- Analytic validation of a clinical-grade PTEN immunohistochemistry assay in prostate cancer by comparison with PTEN FISH
- 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
- Recurrent copy number alterations in prostate cancer: an in silico meta-analysis of publicly available genomic data
- First application of the Automated QUantitative Analysis (AQUA) technique to quantify PTEN protein expression in ovarian cancer: a correlative study of NCIC CTG OV.16
- 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
Informações sobre o DOI: 10.1038/s41379-020-00674-w (Fonte: oaDOI API)
Download do texto completo
| Tipo | Nome | Link | |
|---|---|---|---|
| 003075024.pdf |
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
