Risk assessment in solitary fibrous tumors: validation and refinement of a risk stratification model

Demicco, E. G., Wagner, M. J., Maki, R. G., Gupta, V., Iofin, I., Lazar, A. J., Wang, W. L. (October 2017) Risk assessment in solitary fibrous tumors: validation and refinement of a risk stratification model. Mod Pathol, 30 (10). pp. 1433-42. ISSN 0893-3952

URL: https://www.ncbi.nlm.nih.gov/pubmed/28731041
DOI: 10.1038/modpathol.2017.54

Abstract

Solitary fibrous tumors are an uncommon sarcoma type characterized by NAB2-STAT6 gene fusion. While solitary fibrous tumors metastasize in 5-25% of cases, it has historically been challenging to determine which specific tumor and patient characteristics predict aggressive behavior. We previously reported on a novel risk stratification scheme for solitary fibrous tumors incorporating patient age, tumor size, and mitotic activity to predict risk of metastasis. Herein we validate this risk stratification scheme in an independent, lower-risk population of 79 patients with primary non-meningeal solitary fibrous tumors, and propose incorporating tumor necrosis as a fourth variable to further improve the risk score. Fifty-seven percent of cases were considered low risk, 29% intermediate risk, and 14% high risk for metastasis. Of 50 patients with sufficient clinical follow-up data, no metastases developed in the low-risk patients (n=23), while there was a 7% 10-year metastatic risk in the intermediate risk group (n=17), and a 49% 5-year metastatic risk for the high-risk patients (n=10). When tumor necrosis was added as a fourth variable to the model, predictive power was enhanced. Under the revised stratification, the proportion of tumors identified as low risk increased to 66%, with no metastasis at 10 years, intermediate risk cases comprised 24% with 10% risk of metastasis at 10 years, and high risk comprised 10% of cases with 73% risk of metastasis at 5 years. In Kaplan-Meier analysis, this fourth-variable stratification provided significant discrimination between the risk groups (P=0.0005). These findings confirmed the clinical utility of our previously published risk stratification model and support the inclusion of necrosis as a fourth variable in the model.Modern Pathology advance online publication, 21 July 2017; doi:10.1038/modpathol.2017.54.

Item Type: Paper
Subjects: diseases & disorders > cancer
CSHL Authors:
Communities: CSHL labs > Maki lab
CSHL Cancer Center Program > Signal Transduction
Depositing User: Matt Covey
Date: October 2017
Date Deposited: 27 Jul 2017 19:34
Last Modified: 13 Jun 2018 15:53
Related URLs:
URI: http://repository.cshl.edu/id/eprint/35072

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