PURPOSE: Several histologic grading systems have been validated in soft tissue sarcomas (STS), but no system is currently accepted worldwide. The National Cancer Institute (NCI) and French Federation of Cancer Centers Sarcoma Group (FNCLCC) systems were examined comparatively in the same population of patients with STS to determine which system is the best prognosticator with regard to metastasis development and tumor mortality. PATIENTS AND METHODS: Four hundred ten adult patients with nonmetastatic STS were examined. Histologic grade was established according to the NCI and FNCLCC systems in each case. The prognostic value of both systems was examined using univariate and multivariate (Cox's model) analyses, and special attention was devoted to tumors with discordant grades. RESULTS: In univariate analysis, both the NCI and FNCLCC systems were of prognostic value to predict metastasis development and tumor mortality. In multivariate analysis, high-grade tumors, irrespective of the system used, size > or = 10 cm, and deep location were found to be independent prognostic factors for the advent of metastases. Tumor grade had a higher predictive value than size or depth, and higher prognostic weight was assigned to the FNCLCC grading system in Cox models. Grade discrepancies were observed in 34.6% of the cases. An increased number of grade 3 STS, a reduced number of grade 2 STS, and a better correlation with overall and metastasis-free survival within subpopulations with discordant grades were observed in favor of the FNCLCC system. CONCLUSION: The FNCLCC system showed slightly increased ability to predict distant metastasis development and tumor mortality. The use of this system to evaluate STS aggressiveness might be favored.
PURPOSE: Several histologic grading systems have been validated in soft tissue sarcomas (STS), but no system is currently accepted worldwide. The National Cancer Institute (NCI) and French Federation of Cancer Centers Sarcoma Group (FNCLCC) systems were examined comparatively in the same population of patients with STS to determine which system is the best prognosticator with regard to metastasis development and tumor mortality. PATIENTS AND METHODS: Four hundred ten adult patients with nonmetastatic STS were examined. Histologic grade was established according to the NCI and FNCLCC systems in each case. The prognostic value of both systems was examined using univariate and multivariate (Cox's model) analyses, and special attention was devoted to tumors with discordant grades. RESULTS: In univariate analysis, both the NCI and FNCLCC systems were of prognostic value to predict metastasis development and tumor mortality. In multivariate analysis, high-grade tumors, irrespective of the system used, size > or = 10 cm, and deep location were found to be independent prognostic factors for the advent of metastases. Tumor grade had a higher predictive value than size or depth, and higher prognostic weight was assigned to the FNCLCC grading system in Cox models. Grade discrepancies were observed in 34.6% of the cases. An increased number of grade 3 STS, a reduced number of grade 2 STS, and a better correlation with overall and metastasis-free survival within subpopulations with discordant grades were observed in favor of the FNCLCC system. CONCLUSION: The FNCLCC system showed slightly increased ability to predict distant metastasis development and tumor mortality. The use of this system to evaluate STS aggressiveness might be favored.
Authors: Da-Xian Luo; Mei-Juan Huang; Bo Xiong; Tao Li; Ke Xie; Fu-Rong Chen; Guo-Wei Che; Jin Wang; Yong Xu; Xiao-Juan Zhou; You Lu Journal: Interact Cardiovasc Thorac Surg Date: 2013-09-11
Authors: Christian Hagel; Ulrich Zils; Matthias Peiper; Lan Kluwe; Stefan Gotthard; Reinhard E Friedrich; David Zurakowski; Andreas von Deimling; Victor Felix Mautner Journal: J Neurooncol Date: 2006-11-17 Impact factor: 4.130
Authors: Lars Morawietz; Cornelius Kuhnen; Detlef Katenkamp; Philipp Le Coutre; Axel Ladhoff; Iver Petersen Journal: Virchows Arch Date: 2005-09-13 Impact factor: 4.064
Authors: Richard F Riedel; Nicole Larrier; Leslie Dodd; David Kirsch; Salutario Martinez; Brian E Brigman Journal: Curr Treat Options Oncol Date: 2009-02-24
Authors: Johanna Manner; Bernhard Radlwimmer; Peter Hohenberger; Katharina Mössinger; Stefan Küffer; Christian Sauer; Djeda Belharazem; Andreas Zettl; Jean-Michel Coindre; Christian Hallermann; Jörg Thomas Hartmann; Detlef Katenkamp; Kathrin Katenkamp; Patrick Schöffski; Raf Sciot; Agnieszka Wozniak; Peter Lichter; Alexander Marx; Philipp Ströbel Journal: Am J Pathol Date: 2009-12-11 Impact factor: 4.307
Authors: Alex D Drilon; Sanjay Popat; Gauri Bhuchar; David R D'Adamo; Mary Louise Keohan; Cyril Fisher; Cristina R Antonescu; Samuel Singer; Murray F Brennan; Ian Judson; Robert G Maki Journal: Cancer Date: 2008-12-15 Impact factor: 6.860