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International Journal of Clinical Oncology

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01-11-2019 | Chondrosarcoma | Original Article

Development and validation of a nomogram containing the prognostic determinants of chondrosarcoma based on the Surveillance, Epidemiology, and End Results database

Authors: Jun Zhang, Zhenyu Pan, Fanfan Zhao, Xiaojie Feng, Yuanchi Huang, Chuanyu Hu, Yuanjie Li, Jun Lyu

Published in: International Journal of Clinical Oncology | Issue 11/2019

Abstract

Background

We aimed to develop and validate a reliable nomogram for predicting the disease-specific survival (DSS) of chondrosarcoma patients.

Methods

The Surveillance, Epidemiology, and End Results (SEER) database was queried from 2004 to 2015 to identify cases of histologically confirmed chondrosarcoma. Multivariate Cox regression analysis was performed to identify independent prognostic factors and construct a nomogram for predicting the 3- and 5-year DSS rates. Predictive values were compared between the new model and the American Joint Committee on Cancer (AJCC) staging system using concordance indexes (C-indexes), calibration plots, integrated discrimination improvement (IDI), net reclassification improvement (NRI), and decision curve analysis (DCA).

Results

Multivariate Cox regression identified 1180 patients, who were used to establish a nomogram based on a new model containing the predictive variables of age, socioeconomic status, tumor size, surgery status, chemotherapy status, and AJCC staging. In the nomogram, age at diagnosis is the factor with the highest risk, followed by AJCC stage IV and tumor size > 100 mm. Both the C-index and the calibration plots demonstrated the good performance of the nomogram. Moreover, both NRI and IDI were improved compared to the AJCC staging system, and also DCA demonstrated that the nomogram is clinically useful.

Conclusion

We have developed a reliable nomogram for determining the prognosis and treatment outcomes of chondrosarcoma patients that is superior to the traditional AJCC staging system.

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Title: Development and validation of a nomogram containing the prognostic determinants of chondrosarcoma based on the Surveillance, Epidemiology, and End Results database
Authors: Jun Zhang
Zhenyu Pan
Fanfan Zhao
Xiaojie Feng
Yuanchi Huang
Chuanyu Hu
Yuanjie Li
Jun Lyu
Publication date: 01-11-2019
Publisher: Springer Singapore
Keyword: Chondrosarcoma
Published in: International Journal of Clinical Oncology / Issue 11/2019
Print ISSN: 1341-9625
Electronic ISSN: 1437-7772
DOI: https://doi.org/10.1007/s10147-019-01489-9

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