OBJECTIVE: To determine the prognostic value of PLN and LNR based on a large series with standardized lymphadenectomy and pathological workup. BACKGROUND: Lymph node (LN) involvement is a major prognostic factor in pancreatic adenocarcinoma. However, the distinction N0/N1 is not sufficient to accurately predict prognosis. To improve prognostic accuracy in N1 tumors, different LN parameters have been tested. Previous studies were based on series with variable numbers of examined lymph nodes (ELN) and came to inconsistent conclusions as to the value of the number of positive lymph nodes (PLN) and the lymph node ratio (LNR). METHODS: 811 patients who underwent pancreatoduodenectomy for pancreatic adenocarcinoma between October 2001 and June 2012 were identified from a prospective database. Clinicopathological parameters included LN status (N0/N1), ELN, PLN, and LNR. Univariate and multivariate survival analyses were performed. RESULTS: The median number of ELN was 24 (interquartile range: 18-32). By univariate analysis, both PLN and LNR were significantly associated with survival in N1 tumors. However, by multivariate analysis, only the number of PLN was confirmed as independent predictor of survival. Median survival in patients with only 1 PLN was 31.1 months and comparable to the survival in N0 (33.2 months). With increasing numbers of PLN median survival significantly decreased (2-3 PLN: 26.1 months, 4-7 PLN: 21.9 months, ≥8 PLN: 18.3 months, P < 0.0001). CONCLUSIONS: This study demonstrates that, based on high numbers of ELN, PLN is superior to LNR in predicting survival and allows to distinguish several N-categories that improve prognostic accuracy in LN-positive resectable pancreatic adenocarcinoma.
OBJECTIVE: To determine the prognostic value of PLN and LNR based on a large series with standardized lymphadenectomy and pathological workup. BACKGROUND: Lymph node (LN) involvement is a major prognostic factor in pancreatic adenocarcinoma. However, the distinction N0/N1 is not sufficient to accurately predict prognosis. To improve prognostic accuracy in N1 tumors, different LN parameters have been tested. Previous studies were based on series with variable numbers of examined lymph nodes (ELN) and came to inconsistent conclusions as to the value of the number of positive lymph nodes (PLN) and the lymph node ratio (LNR). METHODS: 811 patients who underwent pancreatoduodenectomy for pancreatic adenocarcinoma between October 2001 and June 2012 were identified from a prospective database. Clinicopathological parameters included LN status (N0/N1), ELN, PLN, and LNR. Univariate and multivariate survival analyses were performed. RESULTS: The median number of ELN was 24 (interquartile range: 18-32). By univariate analysis, both PLN and LNR were significantly associated with survival in N1 tumors. However, by multivariate analysis, only the number of PLN was confirmed as independent predictor of survival. Median survival in patients with only 1 PLN was 31.1 months and comparable to the survival in N0 (33.2 months). With increasing numbers of PLN median survival significantly decreased (2-3 PLN: 26.1 months, 4-7 PLN: 21.9 months, ≥8 PLN: 18.3 months, P < 0.0001). CONCLUSIONS: This study demonstrates that, based on high numbers of ELN, PLN is superior to LNR in predicting survival and allows to distinguish several N-categories that improve prognostic accuracy in LN-positive resectable pancreatic adenocarcinoma.
Authors: Peter J Allen; Deborah Kuk; Carlos Fernandez-Del Castillo; Olca Basturk; Christopher L Wolfgang; John L Cameron; Keith D Lillemoe; Cristina R Ferrone; Vicente Morales-Oyarvide; Jin He; Matthew J Weiss; Ralph H Hruban; Mithat Gönen; David S Klimstra; Mari Mino-Kenudson Journal: Ann Surg Date: 2017-01 Impact factor: 12.969
Authors: Lorenzo A Orci; Jeremy Meyer; Christophe Combescure; Leo Bühler; Thierry Berney; Philippe Morel; Christian Toso Journal: HPB (Oxford) Date: 2015-04-23 Impact factor: 3.647
Authors: T Bardol; G Subsol; M-J Perez; D Genevieve; A Lamouroux; B Antoine; G Captier; M Prudhomme; M M Bertrand Journal: Surg Radiol Anat Date: 2018-03-31 Impact factor: 1.246
Authors: Stijn van Roessel; Gyulnara G Kasumova; Joanne Verheij; Robert M Najarian; Laura Maggino; Matteo de Pastena; Giuseppe Malleo; Giovanni Marchegiani; Roberto Salvia; Sing Chau Ng; Susanna W de Geus; Sanne Lof; Francesco Giovinazzo; Jacob L van Dam; Tara S Kent; Olivier R Busch; Casper H van Eijck; Bas Groot Koerkamp; Mohammed Abu Hilal; Claudio Bassi; Jennifer F Tseng; Marc G Besselink Journal: JAMA Surg Date: 2018-12-19 Impact factor: 14.766