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Preoperative prognostic nutritional index is a powerful predictor of prognosis in patients with stage III ovarian cancer
Many established inflammation- and nutrition-related factors have been investigated as potential independent prognostic factors in various cancers, including the C-reactive protein/albumin ratio (CAR), lymphocyte/monocyte ratio (LMR), modified Glasgow prognostic score (mGPS), body mass index (BMI),...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5573316/ https://www.ncbi.nlm.nih.gov/pubmed/28842710 http://dx.doi.org/10.1038/s41598-017-10328-8 |
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author | Zhang, Weiwei Ye, Bin Liang, Weijiang Ren, Yazhou |
author_facet | Zhang, Weiwei Ye, Bin Liang, Weijiang Ren, Yazhou |
author_sort | Zhang, Weiwei |
collection | PubMed |
description | Many established inflammation- and nutrition-related factors have been investigated as potential independent prognostic factors in various cancers, including the C-reactive protein/albumin ratio (CAR), lymphocyte/monocyte ratio (LMR), modified Glasgow prognostic score (mGPS), body mass index (BMI), and prognostic nutritional index (PNI). This study was performed to estimate the prognostic value of these factors in predicting survival and platinum resistance in ovarian cancer (OC), especially according to stage. Kaplan-Meier and multivariate analyses were performed to plot the survival curve and determine the independent prognostic factors. Additionally, the area under the receiver operating characteristic curve (AUC) was used to predict platinum resistance and prognosis by comparing the predictive ability of PNI and cancer antigen (CA)-125. In all patients, decreased PNI was significantly associated with platinum resistance and poor overall survival (OS) and progression-free survival (PFS). Regarding tumor stage, decreased PNI was significantly associated with poor PFS and OS only in stage III OC. Furthermore, the PNI also showed a significantly higher AUC value than CA-125 for predicting mortality and platinum resistance in all OC patients, but not in stage III patients. In conclusion, decreased PNI is a powerful predictor of a poor prognosis in OC, and especially for stage III cases. |
format | Online Article Text |
id | pubmed-5573316 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-55733162017-09-01 Preoperative prognostic nutritional index is a powerful predictor of prognosis in patients with stage III ovarian cancer Zhang, Weiwei Ye, Bin Liang, Weijiang Ren, Yazhou Sci Rep Article Many established inflammation- and nutrition-related factors have been investigated as potential independent prognostic factors in various cancers, including the C-reactive protein/albumin ratio (CAR), lymphocyte/monocyte ratio (LMR), modified Glasgow prognostic score (mGPS), body mass index (BMI), and prognostic nutritional index (PNI). This study was performed to estimate the prognostic value of these factors in predicting survival and platinum resistance in ovarian cancer (OC), especially according to stage. Kaplan-Meier and multivariate analyses were performed to plot the survival curve and determine the independent prognostic factors. Additionally, the area under the receiver operating characteristic curve (AUC) was used to predict platinum resistance and prognosis by comparing the predictive ability of PNI and cancer antigen (CA)-125. In all patients, decreased PNI was significantly associated with platinum resistance and poor overall survival (OS) and progression-free survival (PFS). Regarding tumor stage, decreased PNI was significantly associated with poor PFS and OS only in stage III OC. Furthermore, the PNI also showed a significantly higher AUC value than CA-125 for predicting mortality and platinum resistance in all OC patients, but not in stage III patients. In conclusion, decreased PNI is a powerful predictor of a poor prognosis in OC, and especially for stage III cases. Nature Publishing Group UK 2017-08-25 /pmc/articles/PMC5573316/ /pubmed/28842710 http://dx.doi.org/10.1038/s41598-017-10328-8 Text en © The Author(s) 2017 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Zhang, Weiwei Ye, Bin Liang, Weijiang Ren, Yazhou Preoperative prognostic nutritional index is a powerful predictor of prognosis in patients with stage III ovarian cancer |
title | Preoperative prognostic nutritional index is a powerful predictor of prognosis in patients with stage III ovarian cancer |
title_full | Preoperative prognostic nutritional index is a powerful predictor of prognosis in patients with stage III ovarian cancer |
title_fullStr | Preoperative prognostic nutritional index is a powerful predictor of prognosis in patients with stage III ovarian cancer |
title_full_unstemmed | Preoperative prognostic nutritional index is a powerful predictor of prognosis in patients with stage III ovarian cancer |
title_short | Preoperative prognostic nutritional index is a powerful predictor of prognosis in patients with stage III ovarian cancer |
title_sort | preoperative prognostic nutritional index is a powerful predictor of prognosis in patients with stage iii ovarian cancer |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5573316/ https://www.ncbi.nlm.nih.gov/pubmed/28842710 http://dx.doi.org/10.1038/s41598-017-10328-8 |
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