A classification prognostic score to predict OS in stage IV well-differentiated neuroendocrine tumors. Issue 6 (June 2018)
- Record Type:
- Journal Article
- Title:
- A classification prognostic score to predict OS in stage IV well-differentiated neuroendocrine tumors. Issue 6 (June 2018)
- Main Title:
- A classification prognostic score to predict OS in stage IV well-differentiated neuroendocrine tumors
- Authors:
- 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
… (more) - Other Names:
- author non-byline.
Aroldi Francesca author non-byline.
Bongiovanni Alberto author non-byline.
Berardi Rossana author non-byline.
Brighi Nicole author non-byline.
Cingarlini Sara author non-byline.
Cauchi Carolina author non-byline.
Cavalcoli Federica author non-byline.
Carnaghi Carlo author non-byline.
Corti Francesca author non-byline.
Duro Marilina author non-byline.
Davì Maria Vittoria author non-byline.
De Divitiis Chiara author non-byline.
Ermacora Paola author non-byline.
La Salvia Anna author non-byline.
Luppi Gabriele author non-byline.
Lo Russo Giuseppe author non-byline.
Nichetti Federico author non-byline.
Raimondi Alessandra author non-byline.
Perfetti Vittorio author non-byline.
Razzore Paola author non-byline.
Rinzivillo Maria author non-byline.
Siesling Sabine author non-byline.
Torchio Martina author non-byline.
Van Dijk Boukje author non-byline.
Visser Otto author non-byline.
Vernieri Claudio author non-byline. - Abstract:
- Abstract : 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 multicentricAbstract : 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. … (more)
- Is Part Of:
- Endocrine-related cancer. Volume 25:Issue 6(2018)
- Journal:
- Endocrine-related cancer
- Issue:
- Volume 25:Issue 6(2018)
- Issue Display:
- Volume 25, Issue 6 (2018)
- Year:
- 2018
- Volume:
- 25
- Issue:
- 6
- Issue Sort Value:
- 2018-0025-0006-0000
- Page Start:
- 607
- Page End:
- 618
- Publication Date:
- 2018-06
- Subjects:
- neuroendocrine tumors -- overall survival -- prognosis -- prognostic score -- validation
Endocrine glands -- Cancer -- Periodicals
Endocrinology -- Periodicals
Cancer -- Endocrine aspects -- Periodicals
616.9944005 - Journal URLs:
- http://www.bioscientifica.com/ ↗
http://erc.endocrinology-journals.org/ ↗ - DOI:
- 10.1530/ERC-17-0489 ↗
- Languages:
- English
- ISSNs:
- 1351-0088
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 6641.xml