Back to Search
Start Over
Uterine Sarcoma and Carcinosarcoma: A Two-Center Experience in Iran.
- Source :
- Middle East Journal of Cancer; Jul2024, Vol. 15 Issue 3, p234-241, 8p
- Publication Year :
- 2024
-
Abstract
- Background: Uterine sarcomas (US) represent a rare and heterogeneous spectrum of tumors characterized by diverse clinical behaviors and tumor responses. This study aims to assess patient and tumor characteristics and oncologic outcomes. Method: This historical cohort study encompassed all patients with histologically confirmed diagnoses of the US who were referred to two oncology centers affiliated with Mashhad University of Medical Sciences (Iran) between March 2011 and April 2020. Data analyses were conducted using STATA version 14.02. Survival estimation was carried out utilizing the Kaplan-Meier method. The significance level was established at 0.05. Results: A total of 33 patients were included in this study, comprising 23 with US and 10 with carcinosarcoma (CS). The mean age was 49.3 years for CS and 62.4 years for US (P = 0.0001). Nearly all patients were overweight, with a mean body mass index of 27.1 (confidence interval: 25.6-28.7). The majority of patients were diagnosed at an early stage. The Federation of Gynecology and Obstetrics (FIGO) stage, patient's anemia, and surgical resection were identified as significant prognostic factors. The median overall survival was 50.88 ± 5.7 months. The survival rates at 2, 3, and 5 years were 75%, 56%, and 41%, respectively. No significant difference was observed between CS and US regarding overall and disease-free survival. Conclusion: Despite the typical early-stage diagnosis for US patients, the 5-year survival rate remains low. This study underscores the pivotal role of FIGO stage, tumor size, and surgical resection as vital prognostic factors for survival. [ABSTRACT FROM AUTHOR]
- Subjects :
- UTERINE tumors
ANEMIA
SARCOMA
RESEARCH funding
BODY mass index
RARE diseases
EARLY detection of cancer
FISHER exact test
CHI-squared test
DESCRIPTIVE statistics
LONGITUDINAL method
KAPLAN-Meier estimator
RESEARCH
DATA analysis software
CONFIDENCE intervals
PROGRESSION-free survival
COMPARATIVE studies
OBESITY
OVERALL survival
REGRESSION analysis
PROPORTIONAL hazards models
Subjects
Details
- Language :
- English
- ISSN :
- 20086709
- Volume :
- 15
- Issue :
- 3
- Database :
- Complementary Index
- Journal :
- Middle East Journal of Cancer
- Publication Type :
- Academic Journal
- Accession number :
- 179562010
- Full Text :
- https://doi.org/10.30476/mejc.2023.98999.1924