Literature DB >> 29610023

The number of positive nodes accurately predicts recurrence after pancreaticoduodenectomy for nonfunctioning neuroendocrine neoplasms.

Stefano Partelli1, Ammar A Javed2, Valentina Andreasi1, Jin He2, Francesca Muffatti1, Matthew J Weiss2, Fausto Sessa3, Stefano La Rosa4, Claudio Doglioni5, Giuseppe Zamboni6, Christopher L Wolfgang2, Massimo Falconi7.   

Abstract

BACKGROUND: The most appropriate nodal staging for pancreatic neuroendocrine neoplasms (PanNENs) is unclear. Aim of the study was to evaluate the effect of the number of positive lymph nodes on prognosis after pancreaticoduodenectomy for PanNENs.
METHODS: A retrospective analysis of pancreaticoduodenectomies for nonfunctioning PanNENs was performed. PanNENs with nodal metastases (N+) were classified into N1 (1 to 3 positive lymph nodes) and N2 (4 or more positive lymph nodes). Univariate and multivariate analyses of disease-free survival were performed.
RESULTS: 157 patients were included. 99 patients (63%) had N0 PanNENs whereas 58 patients (37%) had nodal involvement (N+). Patients with N0 PanNENs had a 3-year disease-free survival rate of 89% compared with 83% and 75% in patients with N1 and N2 PanNENs, respectively (P < 0.0001). Independent predictors of disease-free survival were the presence of necrosis, lymph node ratio and nodal status. Factors positively correlated with the number of positive lymph nodes were the Ki67 value, the T stage and the number of examined lymph nodes. Similar percentage of N0 and N+ PanNENs was demonstrated for a cut-off of 13 examined lymph nodes.
CONCLUSIONS: The number of positive lymph nodes is accurate in predicting recurrence for PanNENs. Thirteen examined lymph nodes seems to be the minimum number of lymph nodes to be resected/examined in patients who undergo pancreaticoduodenectomy for PanNENs.
Copyright © 2018 Elsevier Ltd, BASO ~ The Association for Cancer Surgery, and the European Society of Surgical Oncology. All rights reserved.

Entities:  

Keywords:  Disease-free survival; Lymph node metastases; Pancreatic neuroendocrine neoplasms; Pancreaticoduodenectomy; Prognosis; Surgery

Mesh:

Year:  2018        PMID: 29610023     DOI: 10.1016/j.ejso.2018.03.005

Source DB:  PubMed          Journal:  Eur J Surg Oncol        ISSN: 0748-7983            Impact factor:   4.424


  15 in total

1.  Role of Lymph Node Resection and Histopathological Evaluation in Accurate Staging of Nonfunctional Pancreatic Neuroendocrine Tumors: How Many Are Enough?

Authors:  Ding Ding; Ammar A Javed; Chunhui Yuan; Michael J Wright; Zunaira N Javed; Jonathan A Teinor; I Chae Ye; Richard A Burkhart; John L Cameron; Matthew J Weiss; Christopher L Wolfgang; Jin He
Journal:  J Gastrointest Surg       Date:  2020-02-05       Impact factor: 3.452

Review 2.  Systematic Review and Metaanalysis of Lymph Node Metastases of Resected Pancreatic Neuroendocrine Tumors.

Authors:  Masayuki Tanaka; Max Heckler; André L Mihaljevic; Pascal Probst; Ulla Klaiber; Ulrike Heger; Simon Schimmack; Markus W Büchler; Thilo Hackert
Journal:  Ann Surg Oncol       Date:  2020-07-27       Impact factor: 5.344

Review 3.  How to Select Patients Affected by Neuroendocrine Neoplasms for Surgery.

Authors:  Francesca Fermi; Valentina Andreasi; Francesca Muffatti; Stefano Crippa; Domenico Tamburrino; Stefano Partelli; Massimo Falconi
Journal:  Curr Oncol Rep       Date:  2022-01-25       Impact factor: 5.075

4.  Role of chromogranin A-derived fragments after resection of nonfunctioning pancreatic neuroendocrine tumors.

Authors:  V Andreasi; S Partelli; M F Manzoni; F Muffatti; L Di Filippo; S Crippa; A Corti; M Falconi
Journal:  J Endocrinol Invest       Date:  2022-02-05       Impact factor: 4.256

5.  Predictors of disease recurrence after curative surgery for nonfunctioning pancreatic neuroendocrine neoplasms (NF-PanNENs): a systematic review and meta-analysis.

Authors:  V Andreasi; C Ricci; R Casadei; M Falconi; S Partelli; G Guarneri; C Ingaldi; F Muffatti; S Crippa
Journal:  J Endocrinol Invest       Date:  2021-11-13       Impact factor: 4.256

6.  68Ga-DOTATOC PET/MR imaging and radiomic parameters in predicting histopathological prognostic factors in patients with pancreatic neuroendocrine well-differentiated tumours.

Authors:  P Mapelli; C Bezzi; D Palumbo; C Canevari; S Ghezzo; A M Samanes Gajate; B Catalfamo; A Messina; L Presotto; A Guarnaccia; V Bettinardi; F Muffatti; V Andreasi; M Schiavo Lena; L Gianolli; S Partelli; M Falconi; P Scifo; F De Cobelli; M Picchio
Journal:  Eur J Nucl Med Mol Imaging       Date:  2022-02-14       Impact factor: 10.057

7.  The Number of Metastatic Lymph Nodes is a Useful Predictive Factor for Recurrence after Surgery for Nonmetastatic Nonfunctional Neuroendocrine Neoplasm of the Pancreas.

Authors:  G Capretti; G Nappo; V Smiroldo; M Cereda; B Branciforte; P Spaggiari; S Carrara; P Preatoni; F Gavazzi; C Ridolfi; G Donisi; A Lania; A Zerbi
Journal:  Gastroenterol Res Pract       Date:  2019-04-21       Impact factor: 2.260

Review 8.  Follow-Up Recommendations after Curative Resection of Well-Differentiated Neuroendocrine Tumours: Review of Current Evidence and Clinical Practice.

Authors:  Angela Lamarca; Hamish Clouston; Jorge Barriuso; Mairéad G McNamara; Melissa Frizziero; Was Mansoor; Richard A Hubner; Prakash Manoharan; Sarah O'Dwyer; Juan W Valle
Journal:  J Clin Med       Date:  2019-10-05       Impact factor: 4.241

9.  Long-Term Pancreatic Functional Impairment after Surgery for Neuroendocrine Neoplasms.

Authors:  Valentina Andreasi; Stefano Partelli; Gabriele Capurso; Francesca Muffatti; Gianpaolo Balzano; Stefano Crippa; Massimo Falconi
Journal:  J Clin Med       Date:  2019-10-03       Impact factor: 4.241

10.  The eighth version of American Joint Committee on Cancer nodal classification for high grade pancreatic neuroendocrine tumor should be generalized for the whole population with this disease.

Authors:  Mu-Xing Li; Hang-Yan Wang; Chun-Hui Yuan; Chao-Lai Ma; Bin Jiang; Lei Li; Li Zhang; Hong Zhao; Jian-Qiang Cai; Dian-Rong Xiu
Journal:  Medicine (Baltimore)       Date:  2020-09-11       Impact factor: 1.817

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