Dataset Information

Development and validation of a surgical-pathologic staging and scoring system for cervical cancer.

ABSTRACT:

Background

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).

Methods

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).

Results

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.

Conclusions

Surgical-pathologic staging and SPSs improve characterization of tumor severity and disease invasion, which may more accurately predict outcome and guide postoperative therapy.

SUBMITTER: Li S

PROVIDER: S-EPMC4991512 | biostudies-literature | 2016 Apr

REPOSITORIES: biostudies-literature

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Publications

Development and validation of a surgical-pathologic staging and scoring system for cervical cancer.

Li Shuang S Li Xiong X Zhang Yuan Y Zhou Hang H Tang Fangxu F Jia Yao Y Hu Ting T Sun Haiying H Yang Ru R Chen Yile Y Cheng Xiaodong X Lv Weiguo W Wu Li L Zhou Jin J Wang Shaoshuai S Huang Kecheng K Wang Lin L Yao Yuan Y Yang Qifeng Q Yang Xingsheng X Zhang Qinghua Q Han Xiaobing X Lin Zhongqiu Z Xing Hui H Qu Pengpeng P Cai Hongbing H Song Xiaojie X Tian Xiaoyu X Shen Jian J Xi Ling L Li Kezhen K Deng Dongrui D Wang Hui H Wang Changyu C Wu Mingfu M Zhu Tao T Chen Gang G Gao Qinglei Q Wang Shixuan S Hu Junbo J Kong Beihua B Xie Xing X Ma Ding D

Oncotarget 20160401 15

<h4>Background</h4>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).<h4>Methods</h4>Records from 4,220 eligible cervical cancer cases (Cohort 1) were screened for surgical-pathologic risk factors. We constructed a surgical-patho ...[more]

PMID: 27014971

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Dataset Information

Development and validation of a surgical-pathologic staging and scoring system for cervical cancer.

Background

Methods

Results

Conclusions

Publications

Development and validation of a surgical-pathologic staging and scoring system for cervical cancer.

Similar Datasets

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