2010
DOI: 10.1038/modpathol.2010.58
|View full text |Cite
|
Sign up to set email alerts
|

Pancreatic endocrine tumors: improved TNM staging and histopathological grading permit a clinically efficient prognostic stratification of patients

Abstract: Pancreatic endocrine tumors are rare diseases and devising a clinically effective prognostic stratification of patients is a major clinical challenge. This study aimed at assessing whether the tumor-node-metastasis (TNM)-based staging and proliferative activity-based grading recently proposed by the European NeuroEndocrine Tumors Society (ENETS) have clinical value. TNM was applied to 274 patients with histologically diagnosed pancreatic endocrine tumors operated from 1991 to 2005, with last follow-up at Decem… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

28
282
5
8

Year Published

2011
2011
2016
2016

Publication Types

Select...
6
2

Relationship

1
7

Authors

Journals

citations
Cited by 399 publications
(323 citation statements)
references
References 20 publications
28
282
5
8
Order By: Relevance
“…Such modification resulted previously in statistically significant differences in survival between G1 and G2 cases in multivariate analyses adjusted for stage, in contrary to original 2(3)% cut-off [47,48]. This result was confirmed by meta-analysis [49], which showed better ability of 5% value for prognostication in NET.…”
Section: Ki67 LI Is Imperfect Predictor Of Regional Lymph Node Metastsupporting
confidence: 72%
See 2 more Smart Citations
“…Such modification resulted previously in statistically significant differences in survival between G1 and G2 cases in multivariate analyses adjusted for stage, in contrary to original 2(3)% cut-off [47,48]. This result was confirmed by meta-analysis [49], which showed better ability of 5% value for prognostication in NET.…”
Section: Ki67 LI Is Imperfect Predictor Of Regional Lymph Node Metastsupporting
confidence: 72%
“…Five-percent Ki67 LI cut-off value for G1/G2 distinction do not improve grading precision Some investigators proposed 5% Ki67 LI as optimal cut-off value for distinguishing G1 and G2 NET [46,47,48]. Such modification resulted previously in statistically significant differences in survival between G1 and G2 cases in multivariate analyses adjusted for stage, in contrary to original 2(3)% cut-off [47,48].…”
Section: Ki67 LI Is Imperfect Predictor Of Regional Lymph Node Metastmentioning
confidence: 88%
See 1 more Smart Citation
“…This included grading of the tumors according to their pattern and cytologic features and assessment of mitotic rate and proliferative activity as determined by immunostaining for Ki67. 27,28 The tumors were diagnosed as Neuroendocrine Tumor grade 1 or 2 or Neuroendocrine carcinoma (NEC or Tumor grade 3).…”
Section: Methodsmentioning
confidence: 99%
“…However, it is increasingly recognized that there are genetic and biological differences among these different NETs, so it is quite possible that site-specific different parameters would more optimally stratify the behavior. Indeed, studies on pancreatic NETs have suggested that a different Ki67 index (5 % rather than 3 %) optimally separates G1 and G2 [6]. Because of the potential for grading and staging criteria to evolve as more data accumulate, it is recommended that pathology reports document the actual values of the parameters in addition to the specific grade and stage, so that retrospective reclassification can be performed easily should the criteria evolve [7].…”
mentioning
confidence: 99%