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Validation of the 2010 WHO classification and a new prognostic proposal: A single centre retrospective study of well-differentiated pancreatic neuroendocrine tumours
被引:22
|作者:
Ricci, Claudio
[1
]
Casadei, Riccardo
[1
]
Taffurelli, Giovanni
[1
]
Campana, Davide
[1
]
Ambrosini, Valentina
[2
]
Pagano, Nico
[1
]
Santini, Donatella
[2
]
De Giorgio, Roberto
[1
]
Ingaldi, Carlo
[1
]
Tomassetti, Paola
[1
]
Zani, Elia
[1
]
Minni, Francesco
[1
]
机构:
[1] Univ Bologna, Alma Mater Studiorum, Dept Internal Med & Surg DIMEC, S Orsola Malpighi Hosp, I-40126 Bologna, Italy
[2] Univ Bologna, Alma Mater Studiorum, Dept Haematol & Oncol DIMES, S Orsola Malpighi Hosp, I-40126 Bologna, Italy
关键词:
Ki-67;
Pancreatic endocrine neoplasm;
Surgery;
Classification;
World Health Organization;
Decision curve analysis;
LYMPH-NODE RATIO;
GRADING SYSTEM;
ENDOCRINE TUMORS;
GUIDELINES;
RECURRENCE;
KI67;
D O I:
10.1016/j.pan.2016.02.002
中图分类号:
R57 [消化系及腹部疾病];
学科分类号:
摘要:
Backgound: In 2010, the World Health Organization (WHO) modified the classification for pancreatic neuroendocrine tumours (NETS). Recently, some modifications were proposed to improve its prognostic value. The aim of this study was to test the prognostic value of both the original and the modified 2010 WHO grading systems. Methods: One hundred and twenty consecutive patients surgically resected for well-differentiated NETs were evaluated in multivariate Cox regression models. Age, sex, hormonal status, size, lymph node ratio, stage, margin status and grading were evaluated in order to predict disease-free survival (DFS). Four models were evaluated: model 1: grading according to the 2010 WHO; model 2: modified grading with cut-off at 5% of the Ki-67 index; model 3: modified grading in which the G2 category was divided into two subgroups (2-5% and 5-20%) and model 4: the Ki-67 index as a continuous variable. Decision curve analysis (DCA) was carried out to evaluate the clinical utility of the various cut-offs. Results: All the grading systems remained independent factors in predicting DFS. Model 2 (c index = 0.814 and P = 0.012) and model 3 (c index = 0.865 and P = 0.015) showed higher predictive powers with respect to model 1 (c index = 0.799). Model 4 had a high predictive value (c index 0.848, P = 0.013). Decision curve analysis confirmed that biological behaviour represented the best prognostic parameter. Conclusion: This study presented some limitations: single centre, retrospective design and a long period of enrolment. The result showed that, by increasing the cut-off of the G2 category to 5% or by creating two subgroups in the G2 category, it was possible to obtain a better stratification of patients. (C) 2016 IAP and EPC. Published by Elsevier B.V. All rights reserved.
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页码:403 / 410
页数:8
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