Analysis of 6,747 Pancreatic Neuroendocrine Tumors for a Proposed Staging System

2010 ◽  
Vol 15 (1) ◽  
pp. 175-183 ◽  
Author(s):  
Robert C. G. Martin ◽  
David A. Kooby ◽  
Sharon M. Weber ◽  
Nipun B. Merchant ◽  
Alex A. Parikh ◽  
...  
2007 ◽  
Vol 205 (4) ◽  
pp. 558-563 ◽  
Author(s):  
Karl Y. Bilimoria ◽  
David J. Bentrem ◽  
Ryan P. Merkow ◽  
James S. Tomlinson ◽  
Andrew K. Stewart ◽  
...  

2020 ◽  
Author(s):  
Hebin Wang ◽  
Ding Ding ◽  
Tingting Qin ◽  
Jun Liu ◽  
Hang Zhang ◽  
...  

Abstract Background:There is no widely-accepted staging system for pancreatic neuroendocrine tumors (pNETs). The aim of this study was to validate the American Joint Committee on Cancer (AJCC) 8th edition staging system for well-differentiated (G1/G2) pNETs.Methods:A multicenter dataset (n=1086) was used to evaluate the application of the AJCC 7th and 8th, the European Neuroendocrine Tumor Society (ENETS), and the modified ENETS (mENETS) staging systems for well-differentiated pNETs.Results:The proportion of patients with stage III tumors was extremely low (1.1%) according to the AJCC 7th staging system. For the ENETS staging system, patients with stage IIIA disease had worse estimated mean survival than patients with stage IIIB disease (78.9 vs. 107.3 months). When comparing with patients in stage I, the AJCC 7th, ENETS, and mENETS staging systems showed good performance in discriminating between stages; however, there was no significant difference in some stages when the reference was defined as the earlier stage. When the reference was defined as stage I or the earlier stage, there was a significant inter-stage difference in the AJCC 8th staging system.Conclusions:The AJCC 8th staging system is more suitable for pNETs than other TNM staging systems and may be adopted in clinical practice.


2013 ◽  
Vol 31 (4_suppl) ◽  
pp. 156-156
Author(s):  
Motaz Qadan ◽  
Yifei Ma ◽  
Brendan C. Visser ◽  
Jeffrey A. Norton ◽  
George A. Poultsides

156 Background: Adopting a unified staging system for pancreatic neuroendocrine tumors (PNET) has been challenging. Currently, the American Joint Committee on Cancer (AJCC) recommends the use of the pancreatic adenocarcinoma staging system for PNET. We sought to validate this recommendation on a large administrative population database. Methods: Surveillance, Epidemiology, and End Results (SEER) data were used to identify patients with PNET (excluding patients with large cell, small cell, or mixed endocrine-exocrine carcinoma) who underwent curative-intent surgical resection from 1983 to 2008. The discriminatory ability of the AJCC system (recorded by SEER since 2004) was examined and a new TNM system was devised utilizing extent of disease variables. Results: Of 1,202 patients identified, 51% were female. Median age was 55 years (range, 9-93). Lymph node metastasis (present in 43% of patients) was associated with worse overall survival (OS) after resection (10-year OS, 50% vs 63%, p<.0001), as was the presence of distant metastasis (present in 24% of patients, 10-year OS, 35% vs 63%, p<.0001).The current AJCC system (available in 412 patients) distinguished overall survival adequately only between stages I and II, but not between II and III, or III and IV (Table). By modifying the T stage to be based only on size (0-1 cm, 1-2 cm, 2-4 cm, and > 4 cm) and by revising the grouping allocation, we propose a novel TNM system with improved discriminatory ability (Table). Conclusions: In this study validating the current AJCC staging system for PNET, we found stages II, III, and IV to perform similarly. We propose a simplified TNM system that better discriminates between outcomes. [Table: see text]


2020 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Xu-Feng Zhang ◽  
Feng Xue ◽  
Zheng Wu ◽  
Alexandra G. Lopez-Aguiar ◽  
George Poultsides ◽  
...  

2014 ◽  
Vol 218 (2) ◽  
pp. 188-195 ◽  
Author(s):  
Motaz Qadan ◽  
Yifei Ma ◽  
Brendan C. Visser ◽  
Pamela L. Kunz ◽  
George A. Fisher ◽  
...  

Medicine ◽  
2016 ◽  
Vol 95 (28) ◽  
pp. e4213 ◽  
Author(s):  
Min Yang ◽  
Chun-Lu Tan ◽  
Yi Zhang ◽  
Neng-Wen Ke ◽  
Lin Zeng ◽  
...  

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