Clinicopathological and prognostic significance of perineural invasion in early-stage cervical cancer
LONG Ying
YAO Desheng
WEI Yousheng
Abstract：Objective To evaluate the relationship between perineural invasion (PNI) and clinicopathological characteristics,as well as the prognosis of early-stage cervical cancer.Methods A total of 300 patients with cervical cancer (stages Ⅰ A2-ⅡB) who underwent radical hysterectomy and pelvic lymphadenectomy from Jan 2010 to Jun 2014 were retrospectively analyzed.The relationship of PNI and clinicopathological characteristics,as well as factors influencing prognosis were analyzed.Results Among the 300 patients,the positive rate of PNI was 15.0％ (45/300).PNI had a significant association with depth of invasion,lymphoma vascular space invasion (LVSI),lymph nodes metastases and parametrical invasion (P＜0.05),but not with FIGO stage,pathological type,histological differentiation,tumor size and vaginal margin (P＞0.05).During the follow-up period,the recurrence rate of PNI positive group was higher than that of negative group (P＜0.001);the mortality had no statistical differences between the two groups (P＞0.05).Kaplan-Meier method showed that patients with PNI had shorter 5-year disease-free survival rate and 5-year overall survival rate (66.7％,84.4％) compared with patients without PNI (90.1％,93.7％),and the differences had statistic significance (P =0.015,P=0.020).Cox regression analysis indicated that independent risk factors for disease-free survival rate and overall survival rate included lymph nodes metastases,parametrical invasion and vaginal margin (P＜0.05).Depth of invasion only had impact on overall survival rate (P=0.037).However,PNI was not identified as an independent risk factor for overall survival rate and diseasefree survival rate.Conclusion The incidence of PNI in cervical cancer is closely related with depth of invasion,LVSI,lymph nodes metastases and parametrical invasion.The relationship of PNI and prognosis needs further study.
Keywords：Cervical cancerPerineural invasion(PNI)Prognosis
Publication Date：2017-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 712-717 )