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Preoperative Prediction of Node Metastases in Bladder Cancer Patients Using Genomic and Clinicopathologic Data

Detalles Bibliográficos
Autores principales: Moschini, Marco, Montorsi, Francesco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6013751/
https://www.ncbi.nlm.nih.gov/pubmed/29685788
http://dx.doi.org/10.1016/j.ebiom.2018.04.006
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author Moschini, Marco
Montorsi, Francesco
author_facet Moschini, Marco
Montorsi, Francesco
author_sort Moschini, Marco
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spelling pubmed-60137512018-06-26 Preoperative Prediction of Node Metastases in Bladder Cancer Patients Using Genomic and Clinicopathologic Data Moschini, Marco Montorsi, Francesco EBioMedicine Commentary Elsevier 2018-04-07 /pmc/articles/PMC6013751/ /pubmed/29685788 http://dx.doi.org/10.1016/j.ebiom.2018.04.006 Text en © 2018 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Commentary
Moschini, Marco
Montorsi, Francesco
Preoperative Prediction of Node Metastases in Bladder Cancer Patients Using Genomic and Clinicopathologic Data
title Preoperative Prediction of Node Metastases in Bladder Cancer Patients Using Genomic and Clinicopathologic Data
title_full Preoperative Prediction of Node Metastases in Bladder Cancer Patients Using Genomic and Clinicopathologic Data
title_fullStr Preoperative Prediction of Node Metastases in Bladder Cancer Patients Using Genomic and Clinicopathologic Data
title_full_unstemmed Preoperative Prediction of Node Metastases in Bladder Cancer Patients Using Genomic and Clinicopathologic Data
title_short Preoperative Prediction of Node Metastases in Bladder Cancer Patients Using Genomic and Clinicopathologic Data
title_sort preoperative prediction of node metastases in bladder cancer patients using genomic and clinicopathologic data
topic Commentary
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6013751/
https://www.ncbi.nlm.nih.gov/pubmed/29685788
http://dx.doi.org/10.1016/j.ebiom.2018.04.006
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