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A classification prognostic score to predict OS in stage IV well-differentiated neuroendocrine tumors

No validated prognostic tool is available for predicting overall survival (OS) of patients with well-differentiated neuroendocrine tumors (WDNETs). This study, conducted in three independent cohorts of patients from five different European countries, aimed to develop and validate a classification pr...

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Autores principales: Pusceddu, Sara, Barretta, Francesco, Trama, Annalisa, Botta, Laura, Milione, Massimo, Buzzoni, Roberto, De Braud, Filippo, Mazzaferro, Vincenzo, Pastorino, Ugo, Seregni, Ettore, Mariani, Luigi, Gatta, Gemma, Di Bartolomeo, Maria, Femia, Daniela, Prinzi, Natalie, Coppa, Jorgelina, Panzuto, Francesco, Antonuzzo, Lorenzo, Bajetta, Emilio, Brizzi, Maria Pia, Campana, Davide, Catena, Laura, Comber, Harry, Dwane, Fiona, Fazio, Nicola, Faggiano, Antongiulio, Giuffrida, Dario, Henau, Kris, Ibrahim, Toni, Marconcini, Riccardo, Massironi, Sara, Žakelj, Maja Primic, Spada, Francesca, Tafuto, Salvatore, Van Eycken, Elizabeth, Van der Zwan, Jan Maaten, Žagar, Tina, Giacomelli, Luca, Miceli, Rosalba, Aroldi, Francesca, Bongiovanni, Alberto, Berardi, Rossana, Brighi, Nicole, Cingarlini, Sara, Cauchi, Carolina, Cavalcoli, Federica, Carnaghi, Carlo, Corti, Francesca, Duro, Marilina, Davì, Maria Vittoria, De Divitiis, Chiara, Ermacora, Paola, La Salvia, Anna, Luppi, Gabriele, Lo Russo, Giuseppe, Nichetti, Federico, Raimondi, Alessandra, Perfetti, Vittorio, Razzore, Paola, Rinzivillo, Maria, Siesling, Sabine, Torchio, Martina, Van Dijk, Boukje, Visser, Otto, Vernieri, Claudio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Bioscientifica Ltd 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5920017/
https://www.ncbi.nlm.nih.gov/pubmed/29559553
http://dx.doi.org/10.1530/ERC-17-0489
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author Pusceddu, Sara
Barretta, Francesco
Trama, Annalisa
Botta, Laura
Milione, Massimo
Buzzoni, Roberto
De Braud, Filippo
Mazzaferro, Vincenzo
Pastorino, Ugo
Seregni, Ettore
Mariani, Luigi
Gatta, Gemma
Di Bartolomeo, Maria
Femia, Daniela
Prinzi, Natalie
Coppa, Jorgelina
Panzuto, Francesco
Antonuzzo, Lorenzo
Bajetta, Emilio
Brizzi, Maria Pia
Campana, Davide
Catena, Laura
Comber, Harry
Dwane, Fiona
Fazio, Nicola
Faggiano, Antongiulio
Giuffrida, Dario
Henau, Kris
Ibrahim, Toni
Marconcini, Riccardo
Massironi, Sara
Žakelj, Maja Primic
Spada, Francesca
Tafuto, Salvatore
Van Eycken, Elizabeth
Van der Zwan, Jan Maaten
Žagar, Tina
Giacomelli, Luca
Miceli, Rosalba
Aroldi, Francesca
Bongiovanni, Alberto
Berardi, Rossana
Brighi, Nicole
Cingarlini, Sara
Cauchi, Carolina
Cavalcoli, Federica
Carnaghi, Carlo
Corti, Francesca
Duro, Marilina
Davì, Maria Vittoria
De Divitiis, Chiara
Ermacora, Paola
La Salvia, Anna
Luppi, Gabriele
Lo Russo, Giuseppe
Nichetti, Federico
Raimondi, Alessandra
Perfetti, Vittorio
Razzore, Paola
Rinzivillo, Maria
Siesling, Sabine
Torchio, Martina
Van Dijk, Boukje
Visser, Otto
Vernieri, Claudio
author_facet Pusceddu, Sara
Barretta, Francesco
Trama, Annalisa
Botta, Laura
Milione, Massimo
Buzzoni, Roberto
De Braud, Filippo
Mazzaferro, Vincenzo
Pastorino, Ugo
Seregni, Ettore
Mariani, Luigi
Gatta, Gemma
Di Bartolomeo, Maria
Femia, Daniela
Prinzi, Natalie
Coppa, Jorgelina
Panzuto, Francesco
Antonuzzo, Lorenzo
Bajetta, Emilio
Brizzi, Maria Pia
Campana, Davide
Catena, Laura
Comber, Harry
Dwane, Fiona
Fazio, Nicola
Faggiano, Antongiulio
Giuffrida, Dario
Henau, Kris
Ibrahim, Toni
Marconcini, Riccardo
Massironi, Sara
Žakelj, Maja Primic
Spada, Francesca
Tafuto, Salvatore
Van Eycken, Elizabeth
Van der Zwan, Jan Maaten
Žagar, Tina
Giacomelli, Luca
Miceli, Rosalba
Aroldi, Francesca
Bongiovanni, Alberto
Berardi, Rossana
Brighi, Nicole
Cingarlini, Sara
Cauchi, Carolina
Cavalcoli, Federica
Carnaghi, Carlo
Corti, Francesca
Duro, Marilina
Davì, Maria Vittoria
De Divitiis, Chiara
Ermacora, Paola
La Salvia, Anna
Luppi, Gabriele
Lo Russo, Giuseppe
Nichetti, Federico
Raimondi, Alessandra
Perfetti, Vittorio
Razzore, Paola
Rinzivillo, Maria
Siesling, Sabine
Torchio, Martina
Van Dijk, Boukje
Visser, Otto
Vernieri, Claudio
author_sort Pusceddu, Sara
collection PubMed
description No validated prognostic tool is available for predicting overall survival (OS) of patients with well-differentiated neuroendocrine tumors (WDNETs). This study, conducted in three independent cohorts of patients from five different European countries, aimed to develop and validate a classification prognostic score for OS in patients with stage IV WDNETs. We retrospectively collected data on 1387 patients: (i) patients treated at the Istituto Nazionale Tumori (Milan, Italy; n = 515); (ii) European cohort of rare NET patients included in the European RARECAREnet database (n = 457); (iii) Italian multicentric cohort of pancreatic NET (pNETs) patients treated at 24 Italian institutions (n = 415). The score was developed using data from patients included in cohort (i) (training set); external validation was performed by applying the score to the data of the two independent cohorts (ii) and (iii) evaluating both calibration and discriminative ability (Harrell C statistic). We used data on age, primary tumor site, metastasis (synchronous vs metachronous), Ki-67, functional status and primary surgery to build the score, which was developed for classifying patients into three groups with differential 10-year OS: (I) favorable risk group: 10-year OS ≥70%; (II) intermediate risk group: 30% ≤ 10-year OS < 70%; (III) poor risk group: 10-year OS <30%. The Harrell C statistic was 0.661 in the training set, and 0.626 and 0.601 in the RARECAREnet and Italian multicentric validation sets, respectively. In conclusion, based on the analysis of three ‘field-practice’ cohorts collected in different settings, we defined and validated a prognostic score to classify patients into three groups with different long-term prognoses.
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spelling pubmed-59200172018-04-30 A classification prognostic score to predict OS in stage IV well-differentiated neuroendocrine tumors Pusceddu, Sara Barretta, Francesco Trama, Annalisa Botta, Laura Milione, Massimo Buzzoni, Roberto De Braud, Filippo Mazzaferro, Vincenzo Pastorino, Ugo Seregni, Ettore Mariani, Luigi Gatta, Gemma Di Bartolomeo, Maria Femia, Daniela Prinzi, Natalie Coppa, Jorgelina Panzuto, Francesco Antonuzzo, Lorenzo Bajetta, Emilio Brizzi, Maria Pia Campana, Davide Catena, Laura Comber, Harry Dwane, Fiona Fazio, Nicola Faggiano, Antongiulio Giuffrida, Dario Henau, Kris Ibrahim, Toni Marconcini, Riccardo Massironi, Sara Žakelj, Maja Primic Spada, Francesca Tafuto, Salvatore Van Eycken, Elizabeth Van der Zwan, Jan Maaten Žagar, Tina Giacomelli, Luca Miceli, Rosalba Aroldi, Francesca Bongiovanni, Alberto Berardi, Rossana Brighi, Nicole Cingarlini, Sara Cauchi, Carolina Cavalcoli, Federica Carnaghi, Carlo Corti, Francesca Duro, Marilina Davì, Maria Vittoria De Divitiis, Chiara Ermacora, Paola La Salvia, Anna Luppi, Gabriele Lo Russo, Giuseppe Nichetti, Federico Raimondi, Alessandra Perfetti, Vittorio Razzore, Paola Rinzivillo, Maria Siesling, Sabine Torchio, Martina Van Dijk, Boukje Visser, Otto Vernieri, Claudio Endocr Relat Cancer Research No validated prognostic tool is available for predicting overall survival (OS) of patients with well-differentiated neuroendocrine tumors (WDNETs). This study, conducted in three independent cohorts of patients from five different European countries, aimed to develop and validate a classification prognostic score for OS in patients with stage IV WDNETs. We retrospectively collected data on 1387 patients: (i) patients treated at the Istituto Nazionale Tumori (Milan, Italy; n = 515); (ii) European cohort of rare NET patients included in the European RARECAREnet database (n = 457); (iii) Italian multicentric cohort of pancreatic NET (pNETs) patients treated at 24 Italian institutions (n = 415). The score was developed using data from patients included in cohort (i) (training set); external validation was performed by applying the score to the data of the two independent cohorts (ii) and (iii) evaluating both calibration and discriminative ability (Harrell C statistic). We used data on age, primary tumor site, metastasis (synchronous vs metachronous), Ki-67, functional status and primary surgery to build the score, which was developed for classifying patients into three groups with differential 10-year OS: (I) favorable risk group: 10-year OS ≥70%; (II) intermediate risk group: 30% ≤ 10-year OS < 70%; (III) poor risk group: 10-year OS <30%. The Harrell C statistic was 0.661 in the training set, and 0.626 and 0.601 in the RARECAREnet and Italian multicentric validation sets, respectively. In conclusion, based on the analysis of three ‘field-practice’ cohorts collected in different settings, we defined and validated a prognostic score to classify patients into three groups with different long-term prognoses. Bioscientifica Ltd 2018-03-20 /pmc/articles/PMC5920017/ /pubmed/29559553 http://dx.doi.org/10.1530/ERC-17-0489 Text en © 2018 The authors http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/) .
spellingShingle Research
Pusceddu, Sara
Barretta, Francesco
Trama, Annalisa
Botta, Laura
Milione, Massimo
Buzzoni, Roberto
De Braud, Filippo
Mazzaferro, Vincenzo
Pastorino, Ugo
Seregni, Ettore
Mariani, Luigi
Gatta, Gemma
Di Bartolomeo, Maria
Femia, Daniela
Prinzi, Natalie
Coppa, Jorgelina
Panzuto, Francesco
Antonuzzo, Lorenzo
Bajetta, Emilio
Brizzi, Maria Pia
Campana, Davide
Catena, Laura
Comber, Harry
Dwane, Fiona
Fazio, Nicola
Faggiano, Antongiulio
Giuffrida, Dario
Henau, Kris
Ibrahim, Toni
Marconcini, Riccardo
Massironi, Sara
Žakelj, Maja Primic
Spada, Francesca
Tafuto, Salvatore
Van Eycken, Elizabeth
Van der Zwan, Jan Maaten
Žagar, Tina
Giacomelli, Luca
Miceli, Rosalba
Aroldi, Francesca
Bongiovanni, Alberto
Berardi, Rossana
Brighi, Nicole
Cingarlini, Sara
Cauchi, Carolina
Cavalcoli, Federica
Carnaghi, Carlo
Corti, Francesca
Duro, Marilina
Davì, Maria Vittoria
De Divitiis, Chiara
Ermacora, Paola
La Salvia, Anna
Luppi, Gabriele
Lo Russo, Giuseppe
Nichetti, Federico
Raimondi, Alessandra
Perfetti, Vittorio
Razzore, Paola
Rinzivillo, Maria
Siesling, Sabine
Torchio, Martina
Van Dijk, Boukje
Visser, Otto
Vernieri, Claudio
A classification prognostic score to predict OS in stage IV well-differentiated neuroendocrine tumors
title A classification prognostic score to predict OS in stage IV well-differentiated neuroendocrine tumors
title_full A classification prognostic score to predict OS in stage IV well-differentiated neuroendocrine tumors
title_fullStr A classification prognostic score to predict OS in stage IV well-differentiated neuroendocrine tumors
title_full_unstemmed A classification prognostic score to predict OS in stage IV well-differentiated neuroendocrine tumors
title_short A classification prognostic score to predict OS in stage IV well-differentiated neuroendocrine tumors
title_sort classification prognostic score to predict os in stage iv well-differentiated neuroendocrine tumors
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5920017/
https://www.ncbi.nlm.nih.gov/pubmed/29559553
http://dx.doi.org/10.1530/ERC-17-0489
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AT sieslingsabine classificationprognosticscoretopredictosinstageivwelldifferentiatedneuroendocrinetumors
AT torchiomartina classificationprognosticscoretopredictosinstageivwelldifferentiatedneuroendocrinetumors
AT vandijkboukje classificationprognosticscoretopredictosinstageivwelldifferentiatedneuroendocrinetumors
AT visserotto classificationprognosticscoretopredictosinstageivwelldifferentiatedneuroendocrinetumors
AT verniericlaudio classificationprognosticscoretopredictosinstageivwelldifferentiatedneuroendocrinetumors