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. 2019 Sep 17:7:e7710.
doi: 10.7717/peerj.7710. eCollection 2019.

Characteristics and prognosis of pelvic Ewing sarcoma: a SEER population-based study

Li Chen #  1 , Cheng Long #  1 , Jiaxin Liu  1 , Fei Xing  1 , Xin Duan  1
Affiliations

Characteristics and prognosis of pelvic Ewing sarcoma: a SEER population-based study

Li Chen et al. PeerJ. .

Abstract

Background: The pelvis is one of the primary sites of Ewing sarcoma (ES) and is associated with poorer prognoses than the extremities. Due to the rarity of this disease and limited data available, the prognostic factors of pelvic ES remain controversial. Thus, this study aimed to identify independent prognostic factors, and develop a nomogram for predicting survival rates in patients with pelvic ES.

Methods: Using data provided by the Surveillance, Epidemiology, and End Results (SEER) database, variables including age, sex, race, tumor size, tumor stage, surgery, and radiotherapy were analyzed using the Kaplan-Meier method and Cox proportional hazards regression. Based on the results of multivariate analyses, a nomogram was built to predict the overall survival (OS) of patients with pelvic ES. The performance of the nomogram was evaluated by the concordance index (C-index).

Results: A total of 267 cases diagnosed between 2004 and 2016 were included in the study. Univariate and multivariate analyses showed that patients who were younger, white, had a localized tumor stage, or underwent surgery were associated with improved prognoses, while no significant differences were observed in OS based on sex, tumor size, or radiotherapy. A nomogram was developed and the C-index was 0.728, indicating adequate performance for survival prediction.

Conclusions: Age, race, tumor stage, and surgery were identified as independent prognostic factors for the OS of pelvic ES. The nomogram developed in this study can individually predict 3- and 5-year OS in patients with pelvic ES.

Keywords: Nomogram; Pelvic Ewing sarcoma; Prognosis; SEER.

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Conflict of interest statement

The authors declare that they have no competing interests.

Figures

Figure 1
Figure 1. Flow diagram of selecting process in the SEER database.
Figure 2
Figure 2. Kaplan–Meier curves of overall survival for patients based on (A) all included patients, (B) age, (C) sex, (D) race, (E) tumor size, (F) tumor stage, (G) use of surgery, and (H) use of radiotherapy.
Figure 3
Figure 3. Nomogram to predict 3- and 5-year overall survivals in patients with pelvic Ewing sarcoma.
Figure 4
Figure 4. Calibration curves of the nomogram predicting (A) 3-year and (B) 5-year overall survivals in patients with pelvic Ewing sarcoma.
See this image and copyright information in PMC

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Grants and funding

This work was supported by the National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University (No. Z2018A11). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

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