BACKGROUND: After the establishment of the International Neuroblastoma Pathology Classification system, the authors studied retrospectively the prognostic impact of morphologic features in a series of two clinically distinct subsets of patients with peripheral neuroblastic tumors (NTs), i.e., tumors in the neuroblastoma category. METHODS: Forty-seven NTs categorized into either clinically favorable or unfavorable subgroups were selected randomly from 100 NTs for a histologic review that included the evaluation of 14 morphologic characteristics. The review was performed individually followed by a group review. The correlations of the prognostic significance of the individual morphologic features and the correlations among them were determined by use of odds ratios (ORs) with corresponding 95% confidence intervals (95%CIs). The inter-rater agreement was determined by using the Cohen kappa coefficient. RESULTS: Ten of 14 morphologic features, including nuclear size, cellularity, prominent nucleoli in undifferentiated or poorly differentiated neuroblasts, and the number of mitotic and karyorrhectic cells (MKI), showed a significant correlation with the clinical groups (ORs between 36.9 and 10.5 and P values between < 0.001 and 0.002). In addition to the patient's age at diagnosis (OR, 7.4; 95%CI, 1.9-28.9; P = 0.002), 8 of 14 features also provided prognostic information (ORs between 35.1 and 7.9 and P values between < 0.001 and 0.039). CONCLUSIONS: This study again confirmed the prognostic impact of the criteria used in the Shimada system and revealed that some other morphologic features, such as prominent nucleoli in undifferentiated and poorly differentiated neuroblasts, identify unfavorable tumor biology, partly independent from the patient's age at diagnosis. However, the prognostic impact of these features needs to be confirmed by analysis of a large series of neuroblastic tumors. Copyright 2002 American Cancer Society.
BACKGROUND: After the establishment of the International Neuroblastoma Pathology Classification system, the authors studied retrospectively the prognostic impact of morphologic features in a series of two clinically distinct subsets of patients with peripheral neuroblastic tumors (NTs), i.e., tumors in the neuroblastoma category. METHODS: Forty-seven NTs categorized into either clinically favorable or unfavorable subgroups were selected randomly from 100 NTs for a histologic review that included the evaluation of 14 morphologic characteristics. The review was performed individually followed by a group review. The correlations of the prognostic significance of the individual morphologic features and the correlations among them were determined by use of odds ratios (ORs) with corresponding 95% confidence intervals (95%CIs). The inter-rater agreement was determined by using the Cohen kappa coefficient. RESULTS: Ten of 14 morphologic features, including nuclear size, cellularity, prominent nucleoli in undifferentiated or poorly differentiated neuroblasts, and the number of mitotic and karyorrhectic cells (MKI), showed a significant correlation with the clinical groups (ORs between 36.9 and 10.5 and P values between < 0.001 and 0.002). In addition to the patient's age at diagnosis (OR, 7.4; 95%CI, 1.9-28.9; P = 0.002), 8 of 14 features also provided prognostic information (ORs between 35.1 and 7.9 and P values between < 0.001 and 0.039). CONCLUSIONS: This study again confirmed the prognostic impact of the criteria used in the Shimada system and revealed that some other morphologic features, such as prominent nucleoli in undifferentiated and poorly differentiated neuroblasts, identify unfavorable tumor biology, partly independent from the patient's age at diagnosis. However, the prognostic impact of these features needs to be confirmed by analysis of a large series of neuroblastic tumors. Copyright 2002 American Cancer Society.
Authors: Rie Suganuma; Larry L Wang; Hideki Sano; Arlene Naranjo; Wendy B London; Robert C Seeger; Michael D Hogarty; Julie M Gastier-Foster; A Thomas Look; Julie R Park; John M Maris; Susan L Cohn; Gabriele Amann; Klaus Beiske; Catherine J Cullinane; Emanuele S G d'Amore; Claudio Gambini; Jason A Jarzembowski; Vijay V Joshi; Samuel Navarro; Michel Peuchmaur; Hiroyuki Shimada Journal: Pediatr Blood Cancer Date: 2012-06-28 Impact factor: 3.167
Authors: Octavio Burgues; Samuel Navarro; Rosa Noguera; Antonio Pellín; Amparo Ruiz; Victoria Castel; Antonio Llombart-Bosch Journal: Virchows Arch Date: 2006-08-29 Impact factor: 4.064
Authors: Chizuko Okamatsu; Wendy B London; Arlene Naranjo; Michael D Hogarty; Julie M Gastier-Foster; A Thomas Look; Michael LaQuaglia; John M Maris; Susan L Cohn; Katherine K Matthay; Robert C Seeger; Tsutomu Saji; Hiroyuki Shimada Journal: Pediatr Blood Cancer Date: 2009-10 Impact factor: 3.167
Authors: Presha Rajbhandari; Gonzalo Lopez; Claudia Capdevila; Beatrice Salvatori; Jiyang Yu; Ruth Rodriguez-Barrueco; Daniel Martinez; Mark Yarmarkovich; Nina Weichert-Leahey; Brian J Abraham; Mariano J Alvarez; Archana Iyer; Jo Lynne Harenza; Derek Oldridge; Katleen De Preter; Jan Koster; Shahab Asgharzadeh; Robert C Seeger; Jun S Wei; Javed Khan; Jo Vandesompele; Pieter Mestdagh; Rogier Versteeg; A Thomas Look; Richard A Young; Antonio Iavarone; Anna Lasorella; Jose M Silva; John M Maris; Andrea Califano Journal: Cancer Discov Date: 2018-03-06 Impact factor: 39.397
Authors: Larry L Wang; Rie Suganuma; Naohiko Ikegaki; Xao Tang; Arlene Naranjo; Patrick McGrady; Wendy B London; Michael D Hogarty; Julie M Gastier-Foster; A Thomas Look; Julie R Park; John M Maris; Susan L Cohn; Robert C Seeger; Hiroyuki Shimada Journal: Cancer Date: 2013-07-30 Impact factor: 6.860
Authors: Ling Mao; Jane Ding; Yunhong Zha; Liqun Yang; Brian A McCarthy; William King; Hongjuan Cui; Han-Fei Ding Journal: Cancer Res Date: 2011-04-20 Impact factor: 12.701