The correlation between positive lymph node ratio and long-term prognosis of cervical cancer patients after surgery
10.3760/cma.j.cn115455-20240618-00511
- VernacularTitle:阳性淋巴结比率与宫颈癌患者术后远期预后的相关性
- Author:
Jin KONG
1
;
Lei LIU
;
Zhen DING
;
Zhu QIAO
;
Qi MA
Author Information
1. 济宁医学院附属医院肿瘤科，济宁 272000
- Publication Type:Journal Article
- Keywords:
Uterine cervical neoplasms;
Positive lymph node ratio;
Tumor specific death;
Prognosis
- From:
Chinese Journal of Postgraduates of Medicine
2025;48(10):870-873
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To explore the predictive value of positive lymph node ratio (LNR) for tumor specific mortality in cervical cancer patients after surgery for 5 years.Methods:A total of 120 patients with cervical cancer with lymph node metastasis admitted to the Affiliated Hospital of Jining Medical University from January 2017 to December 2018 were retrospectively selected. The patients were followed up for 5 years and divided into a death group (48 cases) and a control group (72 cases) according to whether tumor-specific death occurred after surgery. The main clinical features and LNR differences between the two groups were compared. The predictive value of LNR for tumor-specific death was analyzed by receiver operating characteristic(ROC) curve, and the risk factors for tumor-specific death in patients with cervical cancer at 5 years after surgery were analyzed by multivariate Logistic retrospective analysis.Results:The low differentiation rate and the rate of periuterine invasion, the rate of pelvic invasion, the number of lymph node metastasis and LNR in the death group were higher than those in the control group: 47.92%(23/48) vs.16.67%(12/72), 58.33%(28/48) vs. 27.78%(20/72), 29.17%(14/48) vs. 9.72%(7/72), (9.35 ± 4.04) nodes vs. (5.07 ± 2.74) nodes, (46.01 ± 19.66)% vs.(23.04 ± 13.76)%, there were statistical differences ( P<0.05). The results of ROC curve analysis showed that LNR was valuable in predicting the tumor specific mortality in cervical cancer patients after surgery within 5 years, with areas under the curve of 0.832 (95% CI 0.760 - 0.905). The results of multivariate Logistic retrospective analysis showed that LNR>30.43%, poorly differentiated cancer, parametrial infiltration and pelvic infiltration were independent risk factors for tumor specific death in cervical cancer patients at 5 years after surgery ( P<0.05). Conclusions:The LNR has a high predictive value for tumor specific mortality in cervical cancer patients after 5 years of surgery, and can be used as a predictive indicator for patient's prognosis.
