| Literature DB >> 27428224 |
Min Yang1, Chun-Lu Tan, Yi Zhang, Neng-Wen Ke, Lin Zeng, Ang Li, Hao Zhang, Jun-Jie Xiong, Zi-Heng Guo, Bo-Le Tian, Xu-Bao Liu.
Abstract
The ability to stratify patients with pancreatic neuroendocrine tumors (p-NETs) into prognostic groups has been hindered by the absence of a commonly accepted staging system. Both the 7th tumor-node-metastasis (TNM) staging guidelines by the American Joint Committee on Cancer (AJCC) and the 2010 grading classifications by the World Health Organization (WHO) were validated to be unsatisfactory.We aim to evaluate the feasibility of combining the latest AJCC and WHO criteria to devise a novel tumor-grading-metastasis (TGM) staging system. We also sought to examine the stage-specific survival rates and the prognostic value of this new TGM system for p-NETs.Data of 120 patients with surgical resection and histopathological diagnosis of p-NETs from January 2004 to February 2014 in our institution were retrospectively collected and analyzed. Based on the AJCC and WHO criteria, we replaced the stage N0 and N1 with stage Ga (NET G1 and NET G2) and Gb (NET G3 and MANEC) respectively, without changes of the definition of T or M stage. The present novel TGM staging system was grouped as follows: stage I was defined as T1-2, Ga, M0; stage II as T3, Ga, M0 or as T1-3, Gb, M0; stage III as T4, Ga-b, M0 and stage IV as any T, M1.The new TGM staging system successfully distributed 55, 42, 12, and 11 eligible patients in stage I to IV, respectively. Differences of survival compared stage I with III and IV for patients with p-NETs were both statistically significant (P < 0.001), as well as those of stage II with III and IV (P < 0.001). Patients in stage I showed better a survival than those in stage II, whereas difference between stages III and IV was not notable (P = 0.001, P = 0.286, respectively). In multivariate models, when the TGM staging system was evaluated in place of the individual T, G, and M variables, this new criteria were proven to be an independent predictor of survival for surgically resected p-NETs (P < 0.05).Stratifying patients well, the current proposed TGM staging system was predictive for overall survival of p-NETs and could be more widely applied in clinical practice.Entities:
Mesh:
Year: 2016 PMID: 27428224 PMCID: PMC4956818 DOI: 10.1097/MD.0000000000004213
Source DB: PubMed Journal: Medicine (Baltimore) ISSN: 0025-7974 Impact factor: 1.889
The original definitions and current analyses of 2 staging criteria.
Demographics baseline and tumor features of p-NETs in the present study∗.
Figure 1Survivals of p-NETs in different stages by the present proposed TGM staging system. Differences of stage I or II with stage III or IV were both significant (P < 0.001). Survival of p-NETs in stage I was statistically better than that in stage II, whereas that compared stage III with IV was not notable (P = 0.001, P = 0.286, respectively). p-NETs = pancreatic neuroendocrine tumors, TGM = tumor-grading-metastasis.
Figure 2Survivals of p-NETs in different stages by the AJCC 7th staging manual.[ Differences of stage I or II with stage III or IV were also both notable (P < 0.001), whereas comparisons of stage I with stage II and stage III with IV were not significant (P = 0.129, P = 0.286, respectively). AJCC = American Joint Committee on Cancer, p-NETs = pancreatic neuroendocrine tumors.
Figure 3Survivals of p-NETs with different grades by the new WHO 2010 grading classifications.[ Patients with NET G1 or NET G2 both showed a better survival compared with those with NEC G3 or MANEC (P < 0.001). Survivals of NET G1 was longer than those of NET G2 (P = 0.023), whereas difference of survivals between NEC G3 and MANEC present no obvious significance (P = 0.071). MANEC = mixed adeno and neuroendocrine carcinoma, NEC G3 = neuroendocrine carcinoma G3, p-NETs = pancreatic neuroendocrine tumors, WHO = World Health Organization.
Multivariate analysis for the independent effects of T/N/G/M stages, the present new TGM staging system, and the TNM stages by AJCC 7th on survival after resection of p-NETs.