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Systemic Inflammatory Score predicts Overall Survival in patients with Cervical Cancer
Background: To evaluate the prognostic value of the systemic inflammatory score (SIS) in cervical cancer patients. Methods: A total of 264 patients with FIGO stage (2009) IB-IIA cervical cancer undergoing radical resection from January 2014 to December 2017 were recruited. The optimal cutoff values...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Ivyspring International Publisher
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8120179/ https://www.ncbi.nlm.nih.gov/pubmed/33995642 http://dx.doi.org/10.7150/jca.56170 |
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author | Xu, Mu Wu, Qibin Cai, Liangzhi Sun, Xiaoqi Xie, Xiaoyan Sun, Pengming |
author_facet | Xu, Mu Wu, Qibin Cai, Liangzhi Sun, Xiaoqi Xie, Xiaoyan Sun, Pengming |
author_sort | Xu, Mu |
collection | PubMed |
description | Background: To evaluate the prognostic value of the systemic inflammatory score (SIS) in cervical cancer patients. Methods: A total of 264 patients with FIGO stage (2009) IB-IIA cervical cancer undergoing radical resection from January 2014 to December 2017 were recruited. The optimal cutoff values for inflammatory biomarkers were calculated by X-tile software. The prognostic factors were investigated using univariate and multivariate Cox analyses. Time-dependent receiver operating characteristic (time-ROC) analysis and the concordance index (C-index) were used to compare the prognostic impact of factors. Results: In total, 264 patients with cervical cancer were included in the study. The optimal cutoff value for lymphocyte-to-monocyte ratio (LMR) was 4.1. In multivariate analysis, FIGO stage, lymphovascular invasion, lymph node metastasis, preoperative serum albumin (Alb), and LMR were independent prognostic factors (P<0.05). Then, we combined preoperative Alb and LMR to establish the SIS. Multivariate analysis showed that the SIS was an independent factor that affected survival (P<0.05). When stratified by FIGO stage, significant differences in survival were also found for patients with different SISs (P<0.05). When the SIS and FIGO stage were combined, the time-ROC curve was superior to that of FIGO stage only. The C-index of the model combining the SIS and FIGO stage was 0.786 (95% CI 0.699-0.873), which was significantly higher than that of the model with FIGO stage only (0.676, 95% CI 0.570-0.782, P=0.0049). Conclusions: The preoperative SIS is a simple and useful prognostic factor for postoperative survival in patients with cervical cancer. It might assist in the identification of high-risk patients among patients with the same FIGO stage. |
format | Online Article Text |
id | pubmed-8120179 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Ivyspring International Publisher |
record_format | MEDLINE/PubMed |
spelling | pubmed-81201792021-05-14 Systemic Inflammatory Score predicts Overall Survival in patients with Cervical Cancer Xu, Mu Wu, Qibin Cai, Liangzhi Sun, Xiaoqi Xie, Xiaoyan Sun, Pengming J Cancer Research Paper Background: To evaluate the prognostic value of the systemic inflammatory score (SIS) in cervical cancer patients. Methods: A total of 264 patients with FIGO stage (2009) IB-IIA cervical cancer undergoing radical resection from January 2014 to December 2017 were recruited. The optimal cutoff values for inflammatory biomarkers were calculated by X-tile software. The prognostic factors were investigated using univariate and multivariate Cox analyses. Time-dependent receiver operating characteristic (time-ROC) analysis and the concordance index (C-index) were used to compare the prognostic impact of factors. Results: In total, 264 patients with cervical cancer were included in the study. The optimal cutoff value for lymphocyte-to-monocyte ratio (LMR) was 4.1. In multivariate analysis, FIGO stage, lymphovascular invasion, lymph node metastasis, preoperative serum albumin (Alb), and LMR were independent prognostic factors (P<0.05). Then, we combined preoperative Alb and LMR to establish the SIS. Multivariate analysis showed that the SIS was an independent factor that affected survival (P<0.05). When stratified by FIGO stage, significant differences in survival were also found for patients with different SISs (P<0.05). When the SIS and FIGO stage were combined, the time-ROC curve was superior to that of FIGO stage only. The C-index of the model combining the SIS and FIGO stage was 0.786 (95% CI 0.699-0.873), which was significantly higher than that of the model with FIGO stage only (0.676, 95% CI 0.570-0.782, P=0.0049). Conclusions: The preoperative SIS is a simple and useful prognostic factor for postoperative survival in patients with cervical cancer. It might assist in the identification of high-risk patients among patients with the same FIGO stage. Ivyspring International Publisher 2021-04-30 /pmc/articles/PMC8120179/ /pubmed/33995642 http://dx.doi.org/10.7150/jca.56170 Text en © The author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/). See http://ivyspring.com/terms for full terms and conditions. |
spellingShingle | Research Paper Xu, Mu Wu, Qibin Cai, Liangzhi Sun, Xiaoqi Xie, Xiaoyan Sun, Pengming Systemic Inflammatory Score predicts Overall Survival in patients with Cervical Cancer |
title | Systemic Inflammatory Score predicts Overall Survival in patients with Cervical Cancer |
title_full | Systemic Inflammatory Score predicts Overall Survival in patients with Cervical Cancer |
title_fullStr | Systemic Inflammatory Score predicts Overall Survival in patients with Cervical Cancer |
title_full_unstemmed | Systemic Inflammatory Score predicts Overall Survival in patients with Cervical Cancer |
title_short | Systemic Inflammatory Score predicts Overall Survival in patients with Cervical Cancer |
title_sort | systemic inflammatory score predicts overall survival in patients with cervical cancer |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8120179/ https://www.ncbi.nlm.nih.gov/pubmed/33995642 http://dx.doi.org/10.7150/jca.56170 |
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