IntroductionUterine sarcoma (US) is a rare tumor characterized by high aggressiveness, a tendency for recurrence and distant metastasis, and an extremely poor prognosis. In this study, we evaluated the expression of Orosomucoid 1 (ORM1) in different subtypes of US and the relationship between survival rates and clinicopathological features.MethodA retrospective study was conducted on 50 cases diagnosed with US in our hospital from 2011 to 2023. Immunohistochemistry (IHC) was used to detect the expression levels of ORM1 in different subtypes of US.The chi-square test and Kaplan-Meier survival analysis were used to analyze the relationship between ORM1 expression and clinical parameters as well as prognosis. Cox analysis was employed to evaluate the relationships between prognosis and clinical parameters in US.ResultCompared to normal proliferative endometrial tissue (NPE), the expression of ORM1 was downregulated in low-grade endometrial stromal sarcoma (LG-ESS), high-grade endometrial stromal sarcoma (HG-ESS), and undifferentiated uterine sarcoma (UUS) (Pâ<â.001,Pâ<â.001,and Pâ<â.001, respectively). Compared to normal uterine smooth muscle tissue (UNSM), the expression of ORM1 was upregulated in leiomyosarcoma (LMS) (Pâ=â.006). High ORM1 expression levels in US patients were associated with poor overall survival (OS) and progression-free survival (PFS) (Pâ=â.027 and Pâ=â.005, respectively). Multivariate COX analysis revealed that tumor stage and ORM1 expression are independent prognostic factors for US patients.ConclusionORM1 is expressed at low levels in ESS and at high levels in LMS. ORM1 potentially serve as a novel biomarker for the diagnosis, classification, and prognosis of US.
Orosomucoid 1 is a Potential Prognostic Biomarker for Uterine Sarcoma.
Orosomucoid 1 是子宫肉瘤的潜在预后生物标志物
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作者:Yuan Dan, Huang Yue, Cai Ying, Zhang Chi, Wang Jin-Jing, Zhou Jian-Guo
| 期刊: | Technology in Cancer Research & Treatment | 影响因子: | 2.800 |
| 时间: | 2025 | 起止号: | 2025 Jan-Dec;24:15330338251343487 |
| doi: | 10.1177/15330338251343487 | 研究方向: | 肿瘤 |
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