Competitive Testing of the WHO 2010 versus the WHO 2017 Grading of Pancreatic Neuroendocrine Neoplasms: Data from a Large International Cohort Study

Guido Rindi(Università Cattolica del Sacro Cuore), Catherine Klersy(Policlinico San Matteo Fondazione), Luca Albarello(San Raffaele University of Rome), Éric Baudin(Laboratoire d'études sur les monothéismes), Antonio Bianchi(Università Cattolica del Sacro Cuore), Markus W. Büchler(Heidelberg University), Martyn Caplin(European Neuroendocrine Tumor Society), Anne Couvelard(Hôpital Beaujon), Jérôme Cros(Hôpital Beaujon), Wouter W. de Herder(Erasmus MC), Gianfranco Delle Fave(CTO Andrea Alesini), Claudio Doglioni(San Raffaele University of Rome), Birgitte Federspiel(Copenhagen University Hospital), Lars Fischer(Heidelberg University), Giuseppe Fusai(The Royal Free Hospital), Francesca Gavazzi(Humanitas University), Carsten Palnæs Hansen(Copenhagen University Hospital), Frediano Inzani(Università Cattolica del Sacro Cuore), Henning Jann(European Neuroendocrine Tumor Society), Paul Komminoth(Triemli Hospital), Ulrich Knigge(Copenhagen University Hospital), Luca Landoni, Stefano La Rosa(University of Insubria), Rita T. Lawlor(University of Verona), Tu Vinh Luong(The Royal Free Hospital), Ilaria Marinoni(University of Bern), Francesco Panzuto(CTO Andrea Alesini), Ulrich-Frank Pape(European Neuroendocrine Tumor Society), Stefano Partelli(San Raffaele University of Rome), Aurel Perren(University of Bern), Maria Rinzivillo(CTO Andrea Alesini), Corrado Rubini(Marche Polytechnic University), Philippe Ruszniewski(Hôpital Beaujon), Aldo Scarpa(University of Verona), Anja Schmitt(University of Bern), Giovanni Schinzari(Università Cattolica del Sacro Cuore), Jean‐Yves Scoazec(Laboratoire d'études sur les monothéismes), Fausto Sessa(University of Insubria), Enrico Solcia(University of Pavia), Paola Spaggiari(Humanitas University), Christos Toumpanakis(Heidelberg University), Alessandro Vanoli(University of Pavia), Bertram Wiedenmann(European Neuroendocrine Tumor Society), Giuseppe Zamboni(Ospedale Sacro Cuore Don Calabria), Wouter T. Zandee(Erasmus MC), Alessandro Zerbi(Humanitas University), Massimo Falconi(San Raffaele University of Rome)
Neuroendocrinology
January 1, 2018
Cited by 104

Abstract

BACKGROUND: The World Health Organization (WHO) and the American Joint Cancer Committee (AJCC) modified the grading of pancreatic neuroendocrine neoplasms from a three-tier (WHO-AJCC 2010) to a four-tier system by introducing the novel category of NET G3 (WHO-AJCC 2017). OBJECTIVES: This study aims at validating the WHO-AJCC 2017 and identifying the most effective grading system. METHOD: A total of 2,102 patients were enrolled; entry criteria were: (i) patient underwent surgery; (ii) at least 2 years of follow-up; (iii) observation time up to 2015. Data from 34 variables were collected; grading was assessed and compared for efficacy by statistical means including Kaplan-Meier method, Cox regression analysis, Harrell's C statistics, and Royston's explained variation in univariable and multivariable analyses. RESULTS: In descriptive analysis, the two grading systems demonstrated statistically significant differences for the major category sex but not for age groups. In Cox regression analysis, both grading systems showed statistically significant differences between grades for OS and EFS; however, no statistically significant difference was observed between the two G3 classes of WHO-AJCC 2017. In multivariable analysis for the two models fitted to compare efficacy, the two grading systems performed equally well with substantially similar optimal discrimination and well-explained variation for both OS and EFS. The WHO-AJCC 2017 grading system retained statistically significant difference between the two G3 classes for OS but not for EFS. CONCLUSIONS: The WHO-AJCC 2017 grading system is at least equally performing as the WHO-AJCC 2010 but allows the successful identification of the most aggressive PanNET subgroup. Grading is confirmed as probably the most powerful tool for predicting patient survival.


Related Papers