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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...

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Autores principales: Xu, Mu, Wu, Qibin, Cai, Liangzhi, Sun, Xiaoqi, Xie, Xiaoyan, Sun, Pengming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Ivyspring International Publisher 2021
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.
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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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