Development and Validation of Nomograms Predicting Overall and Cancer-Specific Survival of Spinal Chondrosarcoma Patients

STUDY DESIGN.Retrospective analysis. OBJECTIVE.To develop and validate nomograms to predict overall survival (OS) and cancer-specific survival (CSS) of spinal chondrosarcoma patients. SUMMARY OF BACKGROUND DATA.In this era of personalized medicine, data those are available to predict the survival of...

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Published in:Spine (Philadelphia, Pa. 1976) Pa. 1976), 2018-11, Vol.43 (21), p.E1281-E1289
Main Authors: Song, Kehan, Song, Jian, Shi, Xio, Wang, Hongli, Ma, Xiaosheng, Xia, Xinlei, Liang, Xin, Lin, Kaiyuan, Jiang, Jianyuan
Format: Article
Language:English
Subjects:
Adolescent
Adult
Age Factors
Aged
Aged, 80 and over
Child
Chondrosarcoma - secondary
Chondrosarcoma - surgery
Female
Humans
Male
Middle Aged
Neoplasm Grading
Neoplasm Staging
Nomograms
Prognosis
Retrospective Studies
SEER Program
Spinal Neoplasms - pathology
Spinal Neoplasms - surgery
Survival Rate
Tumor Burden
Young Adult
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Summary:STUDY DESIGN.Retrospective analysis. OBJECTIVE.To develop and validate nomograms to predict overall survival (OS) and cancer-specific survival (CSS) of spinal chondrosarcoma patients. SUMMARY OF BACKGROUND DATA.In this era of personalized medicine, data those are available to predict the survival of spinal chondrosarcoma patients are still limited due to the rarity of the disease. Nomogram, which has been widely used in clinical oncology, could conveniently and precisely predict survival outcome for individual patient. METHODS.We retrospectively collected 450 spinal chondrosarcoma patients from the Surveillance, Epidemiology, and End Results (SEER) database between 1984 and 2013. Univariate log-rank and multivariate Cox analyses were used to identify independent prognostic factors. These prognostic factors were included in the nomograms, which predict 3- and 5-year OS and CSS rate. The nomograms were bootstrap validated internally and externally. RESULTS.A total of 450 patients were collected and randomly assigned into the training (n = 225) and validation (n = 225) cohorts. Age, histologic subtype, grade, tumor size, stage, and surgery were identified as independent prognostic factors for OS and CSS (all P 
ISSN:0362-2436
1528-1159
DOI:10.1097/BRS.0000000000002688