The predictive role of perineural invasion in cervical cancer prognosis and analysis of influencing factors
10.19405/j.cnki.issn1000-1492.2025.12.021
- VernacularTitle:宫颈癌嗜神经浸润对预后的预测作用及影响因素分析
- Author:
Meiling Zhang
1
;
Min Li
2
;
Zhaolian Wei
3
;
Miaomiao Huang
1
;
Xiaoliu Du
4
Author Information
1. Dept of Obstetrics and Gynecology, The First Afiliated Hospital of Anhui Medical University, Hefei 230022 ;NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract , Hefei 230022 ;Key Laboratory of Population Health Across Life Cycle , Ministry of Education of the People ′s Republic of China , Hefei 230022 ; Engineering Research Center of Biopreservation and Artifical Organs , Ministry of Education , Hefei 230022
2. Dept of Obstetrics and Gynecology, The First Afiliated Hospital of Anhui Medical University, Hefei 230022 ;Anhui Province Key Laboratory of Reproductive Health and Genetics , Hefei 230022 ;Biopreservation and Artificial Organs , Anhui Provincial Engineering Research Center, Hefei 230022 ;Anhui Provincial Institute of Translational Medicine , Hefei 230022
3. Dept of Obstetrics and Gynecology, The First Afiliated Hospital of Anhui Medical University, Hefei 230022 ;NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract , Hefei 230022 ;Anhui Province Key Laboratory of Reproductive Health and Genetics , Hefei 230022 ;Anhui Provincial Institute of Translational Medicine , Hefei 230022
4. Dept of Pathology, The First Afiliated Hospital of Anhui Medical University, Hefei 230022
- Publication Type:Journal Article
- Keywords:
perineural invasion;
cervical cancer;
clinicopathological features;
independent risk factor;
prognosis;
adjuvant therapy
- From:
Acta Universitatis Medicinalis Anhui
2025;60(12):2363-2368
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To explore the effect of tumor cell perineural invasion on the prognosis of cervical cancer and the early predictive factors of perineural invasion in patients with cervical cancer.
Methods:A retrospective a⁃ nalysis was conducted on the clinical , pathological , and survival data of 551 patients with cervical cancer. These patients were categorized into a survival group (n = 477) and a death group (n = 74) . The baseline characteristics of the two groups were compared using independent samples t ⁃tests , Wilcoxon rank⁃sum tests , and chi⁃square tests.Multivariate binary Logistic stepwise regression analysis was employed to identify independent risk factors associated with mortality. In addition , univariate Logistic regression analysis was performed to determine predictive factors for perineural invasion. A predictive model for perineural invasion in cervical cancer was subsequently developed based on the multivariate regression equation , and its predictive accuracy was assessed using the ROC curve.
Results:In the basic data of cervical cancer patients , the high level of perineural invasion , lymphatic metastasis and postopera⁃tive pathological stage in pathological data had an impact on the poor prognosis of patients ( P < 0 . 0 5 ) , Lympho⁃vascular space invasion , parametrial involvement , and tumor invasion depth ≥ 1/2 were identified as significant predictors of PNI. The predictive value was the best in the multivariate model ( Area under the curve = 0. 80) .
Conclusion:Perineural invasion is an independent risk factor for poor prognosis of cervical cancer patients , and the occurrence of perineural invasion can be effectively predicted by the constructed multivariate mode.
- Full text:2026030409500518124宫颈癌嗜神经浸润对预后的预测作用及影响因素分析_张美玲.pdf
