Li Shuang, Li Xiong, Zhang Yuan, Zhou Hang, Tang Fangxu, Jia Yao, Hu Ting, Sun Haiying, Yang Ru, Chen Yile, Cheng Xiaodong, Lv Weiguo, Wu Li, Zhou Jin, Wang Shaoshuai, Huang Kecheng, Wang Lin, Yao Yuan, Yang Qifeng, Yang Xingsheng, Zhang Qinghua, Han Xiaobing, Lin Zhongqiu, Xing Hui, Qu Pengpeng, Cai Hongbing, Song Xiaojie, Tian Xiaoyu, Shen Jian, Xi Ling, Li Kezhen, Deng Dongrui, Wang Hui, Wang Changyu, Wu Mingfu, Zhu Tao, Chen Gang, Gao Qinglei, Wang Shixuan, Hu Junbo, Kong Beihua, Xie Xing, Ma Ding
Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, P.R. China.
Department of Gynecology and Obstetrics, The Central Hospital of Wuhan, Wuhan, P.R. China.
Oncotarget. 2016 Apr 12;7(15):21054-63. doi: 10.18632/oncotarget.8245.
Most cervical cancer patients worldwide receive surgical treatments, and yet the current International Federation of Gynecology and Obstetrics (FIGO) staging system do not consider surgical-pathologic data. We propose a more comprehensive and prognostically valuable surgical-pathologic staging and scoring system (SPSs).
Records from 4,220 eligible cervical cancer cases (Cohort 1) were screened for surgical-pathologic risk factors. We constructed a surgical-pathologic staging and SPSs, which was subsequently validated in a prospective study of 1,104 cervical cancer patients (Cohort 2).
In Cohort 1, seven independent risk factors were associated with patient outcome: lymph node metastasis (LNM), parametrial involvement, histological type, grade, tumor size, stromal invasion, and lymph-vascular space invasion (LVSI). The FIGO staging system was revised and expanded into a surgical-pathologic staging system by including additional criteria of LNM, stromal invasion, and LVSI. LNM was subdivided into three categories based on number and location of metastases. Inclusion of all seven prognostic risk factors improves practical applicability. Patients were stratified into three SPSs risk categories: zero-, low-, and high-score with scores of 0, 1 to 3, and ≥4 (P=1.08E-45; P=6.15E-55). In Cohort 2, 5-year overall survival (OS) and disease-free survival (DFS) outcomes decreased with increased SPSs scores (P=9.04E-15; P=3.23E-16), validating the approach. Surgical-pathologic staging and SPSs show greater homogeneity and discriminatory utility than FIGO staging.
Surgical-pathologic staging and SPSs improve characterization of tumor severity and disease invasion, which may more accurately predict outcome and guide postoperative therapy.
全球大多数宫颈癌患者接受手术治疗,然而当前国际妇产科联盟(FIGO)分期系统未考虑手术病理数据。我们提出一种更全面且具有预后价值的手术病理分期及评分系统(SPSs)。
对4220例符合条件的宫颈癌病例(队列1)的记录进行手术病理危险因素筛查。我们构建了手术病理分期及SPSs,随后在一项对1104例宫颈癌患者的前瞻性研究(队列2)中对其进行验证。
在队列1中,七个独立危险因素与患者预后相关:淋巴结转移(LNM)、宫旁组织受累、组织学类型、分级、肿瘤大小、间质浸润和脉管间隙浸润(LVSI)。通过纳入LNM、间质浸润和LVSI的附加标准,FIGO分期系统得以修订并扩展为手术病理分期系统。LNM根据转移的数量和位置分为三类。纳入所有七个预后危险因素可提高实际适用性。患者被分为SPSs三个风险类别:零分、低分和高分,分数分别为0、1至3和≥4(P = 1.08E - 45;P = 6.15E - 55)。在队列2中,5年总生存率(OS)和无病生存率(DFS)结果随SPSs分数增加而降低(P = 9.04E - 15;P = 3.23E - 16),验证了该方法。手术病理分期及SPSs比FIGO分期显示出更高的同质性和鉴别效用。
手术病理分期及SPSs改善了肿瘤严重程度和疾病浸润的特征描述,可能更准确地预测预后并指导术后治疗。