| Literature DB >> 31681581 |
Conglin Ye1, Min Dai1, Bin Zhang1.
Abstract
Purpose: We aimed to identify potential risk factors predictive of metastasis at initial diagnosis in Ewing sarcoma patients. Patients and methods: We enrolled selected patients diagnosed with Ewing sarcoma between 2004 and 2015 in the Surveillance, Epidemiology, and End Results (SEER) Program database. Demographic and clinical features of patients were analyzed to demonstrate the potential risk factors of distant metastasis at presentation. We utilized descriptive statistics, univariate methods, and a series of regression models to analyze the significance of risk factors. Moreover, we conducted survival analysis in patients with different metastatic sites through Kaplan-Meier analysis.Entities:
Keywords: Ewing sarcoma; SEER; metastatic disease; survival; tumor size
Year: 2019 PMID: 31681581 PMCID: PMC6805828 DOI: 10.3389/fonc.2019.01043
Source DB: PubMed Journal: Front Oncol ISSN: 2234-943X Impact factor: 6.244
Figure 1Flow diagram of the target patient population selected from the SEER database.
Figure 4Flow diagram of the patient population selected from the SEER database for the survival analysis.
Ewing sarcoma with metastasis at diagnosis, 2004 to 2015.
| Total | 1,066 | 332 (31.1) |
No., number; no., number.
Figure 2The number of Ewing sarcoma cases from 2004 to 2015 according to age at diagnosis.
Figure 3Percentage of Ewing sarcoma cases with metastasis at initial diagnosis from 2004 to 2015 according to age at diagnosis.
Univariate analysis of patient characteristics and metastasis at diagnosis with Ewing sarcoma, 2004 to 2015.
| Age in years | 0.006 | ||
| 0–17 | 634 | 176 (27.8) | |
| 18–59 | 412 | 146 (35.4) | |
| 60–85+ | 20 | 10 (50.0) | |
| Sex | 0.459 | ||
| Male | 673 | 215 (31.9) | |
| Female | 393 | 117 (29.8) | |
| Race | 0.301 | ||
| White | 941 | 294 (31.2) | |
| Black | 40 | 16 (40.0) | |
| Other | 81 | 20 (24.7) | |
| Unknown | 4 | 2 (50.0) | |
| Location | <0.001 | ||
| Extremity | 472 | 124 (26.3) | |
| Axial | 561 | 185 (33.0) | |
| Unknown | 33 | 23 (69.7) | |
| Size | <0.001 | ||
| ≤ 5 cm | 192 | 34 (17.7) | |
| >5 to 8 cm | 221 | 56 (25.3) | |
| >8 cm | 390 | 138 (35.4) | |
| Unknown | 263 | 104 (39.5) |
No., number; no., number.
Odds ratios for risk of presentation with metastatic disease.
| Cases included | 1,066 | 1,066 | 1,066 |
| 0–17 | Ref | Ref | Ref |
| 18–59 | 1.43 (1.09–1.86) | 1.37 (1.04–1.81) | 1.38 (1.05–1.82) |
| 60–85+ | 2.60 (1.07–6.36) | 2.03 (0.76–5.43) | 2.04 (0.76–5.45) |
| Male | Ref | Ref | – |
| Female | 0.90 (0.69–1.18) | 0.97 (0.74–1.29) | – |
| White | Ref | Ref | – |
| Black | 1.47 (0.77–2.80) | 1.36 (0.70–2.66) | – |
| Other | 0.72 (0.43–1.22) | 0.76 (0.45–1.31) | – |
| Unknown | 2.20 (0.31–15.70) | 2.88 (0.39–21.39) | – |
| Extremity | Ref | Ref | Ref |
| Axial | 1.38 (1.05–1.81) | 1.43 (1.08–1.88) | 1.42 (1.07–1.87) |
| Unknown | 6.46 (2.99–13.94) | 6.04 (2.67–13.68) | 6.01 (2.66–13.59) |
| ≤ 5 cm | Ref | Ref | Ref |
| >5 to 8 cm | 1.58 (0.98–2.55) | 1.74 (1.07–2.85) | 1.76 (1.08–2.87) |
| >8 cm | 2.55 (1.66–3.89) | 2.86 (1.84–4.43) | 2.86 (1.85–4.44) |
| Unknown | 3.04 (1.95–4.75) | 3.14 (1.98–4.97) | 3.17 (2.01–5.02) |
The values are given as the odds ratio, with the 95% confidence interval in parentheses.
Univariate logistic regression analysis of all categorical variables.
Multivariate logistic regression analysis includes all categorical variables.
Multivariate logistic regression analysis includes categorical variables with univariate p < 0.1.
Ref, reference.
The distribution of distant metastatic sites.
| Lung alone | 72 | 45.9% |
| Bone alone | 49 | 31.2% |
| Liver alone | 1 | 0.6% |
| Brain alone | 1 | 0.6% |
| ≥2 sites | 34 | 21.7% |
Figure 5Kaplan–Meier curve of Ewing sarcoma-specific survival according to the metastatic sites.