Analysis of the poor prognostic factors affecting 48 cases of cervical stump carcinoma
10.3760/cma.j.issn.1004-4221.2019.11.009
- VernacularTitle: 48例宫颈残端恶性肿瘤预后因素分析
- Author:
Yesai MU
1
;
Seyiti AYINUER
1
;
Kuerban GULINA
1
Author Information
1. Department of Gynecological Radiotherapy Ward, Affiliated Tumor Hospital of Xinjiang Medical University, Urumqi 830011, China
- Publication Type:Journal Article
- Keywords:
Cervical stump;
Malignant neoplasm/radiochemotherapy;
Prognosis
- From:
Chinese Journal of Radiation Oncology
2019;28(11):840-842
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To explore the poor prognostic factors of patients with cervical stump carcinoma, aiming to provide certain reference for the clinical diagnosis and treatment.
Methods:Clinical data of 48 patients with cervical stump carcinoma admitted to the Affiliated Tumor Hospital of Xinjiang Medical University from January 1, 2005 to December 1, 2016 were retrospectively analyzed. A total of 19 patients (40%) withⅠA-ⅡA stage cervical stump carcinoma were treated with surgery+ adjuvant therapy and 29 patients (60%) in ⅡB-Ⅳ stage received radiotherapy combined with chemotherapy. The median age of onset was 51 years old. Uterine fibroids were the main cause of subtotal hysterectomy. The average time interval from subtotal hysterectomy to definite diagnosis was 10.76 years.
Results:The 1-, 3-, 5-year survival rate was 98%, 83% and 74%, respectively. Univariate analysis demonstrated the time interval from subtotal hysterectomy (P=0.016), tumor diameter (P=0.016), clinical stage (P=0.036), histological grade (P=0.009), lymph node metastasis (P=0.044), parametrial invasion (P=0.046), myelosuppression (P=0.013) and radical surgery (P=0.019) were the poor prognostic factors of cervical stump carcinoma.
Conclusions:Poor prognosis of patients with cervical stump carcinoma is correlated with tumor diameter, clinical stage, histological grade, lymph node metastasis, parametrial invasion and myelosuppression. Histological grade is an independent risk factor.