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KMID : 1143920180220010066
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Annals of Hepato-Biliary-Pancreatic Surgery
2018 Volume.22 No. 1 p.66 ~ p.74
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Prognostic factors of non-functioning pancreatic neuroendocrine tumor revisited: The value of WHO 2010 classification
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Bu Ji-Young
Youn Sang-Min
Kwon Woo-Il
Jang Kee-Taek
Han Sang-Hyup
Han Sun-Jong
You Young-Hun
Heo Jin-Seok
Choi Seong-Ho
Choi Dong-Wook
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Abstract
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Backgrounds/Aims: Various factors have been reported as prognostic factors of non-functional pancreatic neuroendocrine tumors (NF-pNETs). There remains some controversy as to the factors which might actually serve to successfully prognosticate future manifestation and diagnosis of NF-pNETs. As well, consensus regarding management strategy has never been achieved. The aim of this study is to further investigate potential prognostic factors using a large single-center cohort to help determine the management strategy of NF-pNETs.
Methods: During the time period 1995 through 2013, 166 patients with NF-pNETs who underwent surgery in Samsung Medical Center were entered in a prospective database, and those factors thought to represent predictors of prognosis were tested in uni- and multivariate models.
Results: The median follow-up time was 46.5 months; there was a maximum follow-up period of 217 months. The five-year overall survival and disease-free survival rates were 88.5% and 77.0%, respectively. The 2010 WHO classification was found to be the only prognostic factor which affects overall survival and disease-free survival in multivariate analysis. Also, pathologic tumor size and preoperative image tumor size correlated strongly with the WHO grades (p＜0.001, and p＜0.001).
Conclusions: Our study demonstrates that 2010 WHO classification represents a valuable prognostic factor of NF-pNETs and tumor size on preoperative image correlated with WHO grade. In view of the foregoing, the preoperative image size is thought to represent a reasonable reference with regard to determination and development of treatment strategy of NF-pNETs.
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KEYWORD
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NF-pNETs, 2010 WHO classification, Prognostic factors, Image tumor size
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