Intrinsic Contact Between T and N Classifications in Resected Well-Moderately Differentiated Locoregional Pancreatic Neuroendocrine Neoplasms
Intrinsic Contact Between T and N Classifications in Resected Well-Moderately Differentiated Locoregional Pancreatic Neuroendocrine Neoplasms
复制标题
切除的中分化局部胰腺神经内分泌肿瘤中 T 和 N 分类之间的内在联系
DOI:
10.1245/s10434-017-6289-1
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发表时间:
2017
影响因子:
3.7
通讯作者:
Xian-Jun Yu
中科院分区:
文献类型:
--
作者:
Jin-Zhi Xu;Wen-Quan Wang;Shi-Rong Zhang;Hua-Xiang Xu;Chun-Tao Wu;Zi-Hao Qi;He-Li Gao;Quan-Xing Ni;Liang Liu;Xian-Jun Yu
Abstract.BACKGROUND: The role of N classification is controversial in several prognostication systems proposed for pancreatic neuroendocrine neoplasms (pNENs). The widely accepted modified European Neuroendocrine Tumor Society (mENETS) system suggests this contradiction may be related to T classification..METHODS: Data were collected retrospectively from 981 patients in the Surveillance, Epidemiology, and End Results (SEER) database (1973-2012; cohort 1) and 140 patients from the Pancreatic Cancer Institute of Fudan University (2006-2016; cohort 2). All patients had resected well- to moderately differentiated locoregional pNENs, whereby the mENETS system was adopted. Factors related to N1 classification and the association between N and T classifications were analyzed, and N classification prognosis based on T classification was assessed..RESULTS: In cohorts 1 and 2, tumor size (2-4 cm: p 4 cm: p < 0.001 and p = 0.012, respectively) and tumors extending beyond the pancreas (p < 0.001 and p = 0.016, respectively), which are factors for T classification, affected N1 classification. For tumors limited to the pancreas, the N1 classification was associated with tumor size (p < 0.001 and p = 0.046, respectively) and predicted poor disease-specific survival (DSS), while for tumors extending beyond the pancreas, the N1 classification did not affect patient outcomes. Findings obtained with data from the SEER database were reproducible with our institutional data..CONCLUSIONS: N classification is associated with T classification, limiting the value of N1 classification for the pNENs tumor-node-metastasis system. A new risk model is necessary to predict patient outcomes and guide clinical practice for the prognosis of pNENs.