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Development and validation of a surgical-pathologic staging and scoring system for cervical cancer
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 s...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals LLC
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4991512/ https://www.ncbi.nlm.nih.gov/pubmed/27014971 http://dx.doi.org/10.18632/oncotarget.8245 |
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author | 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 |
author_facet | 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 |
author_sort | Li, Shuang |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-4991512 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Impact Journals LLC |
record_format | MEDLINE/PubMed |
spelling | pubmed-49915122016-09-01 Development and validation of a surgical-pathologic staging and scoring system for cervical cancer 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 Oncotarget Clinical Research Paper 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. Impact Journals LLC 2016-03-21 /pmc/articles/PMC4991512/ /pubmed/27014971 http://dx.doi.org/10.18632/oncotarget.8245 Text en Copyright: © 2016 Li et al. http://creativecommons.org/licenses/by/2.5/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Clinical Research Paper 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 Development and validation of a surgical-pathologic staging and scoring system for cervical cancer |
title | Development and validation of a surgical-pathologic staging and scoring system for cervical cancer |
title_full | Development and validation of a surgical-pathologic staging and scoring system for cervical cancer |
title_fullStr | Development and validation of a surgical-pathologic staging and scoring system for cervical cancer |
title_full_unstemmed | Development and validation of a surgical-pathologic staging and scoring system for cervical cancer |
title_short | Development and validation of a surgical-pathologic staging and scoring system for cervical cancer |
title_sort | development and validation of a surgical-pathologic staging and scoring system for cervical cancer |
topic | Clinical Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4991512/ https://www.ncbi.nlm.nih.gov/pubmed/27014971 http://dx.doi.org/10.18632/oncotarget.8245 |
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