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Pretreatment elevated prognostic nutritional index predicts a favorable prognosis in patients with prostate cancer
BACKGROUND: The prognostic nutritional index (PNI), an immunity and nutrition based prognostic score, was correlated with clinical outcomes in different tumors. However, the prognostic significance of PNI has not been investigated in hormone sensitive prostate cancer (PCa). The objective of this stu...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7191702/ https://www.ncbi.nlm.nih.gov/pubmed/32349713 http://dx.doi.org/10.1186/s12885-020-06879-1 |
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author | Li, Bin Lu, Zheng Wang, Shengzheng Hou, Junqing Xia, Gang Li, Heng Yin, Bo Lu, Wei |
author_facet | Li, Bin Lu, Zheng Wang, Shengzheng Hou, Junqing Xia, Gang Li, Heng Yin, Bo Lu, Wei |
author_sort | Li, Bin |
collection | PubMed |
description | BACKGROUND: The prognostic nutritional index (PNI), an immunity and nutrition based prognostic score, was correlated with clinical outcomes in different tumors. However, the prognostic significance of PNI has not been investigated in hormone sensitive prostate cancer (PCa). The objective of this study was to determine the prognostic significance of PNI in hormone sensitive PCa. METHODS: Two hundred eighty PCa patients undergoing androgen deprivation therapy (ADT) as first line therapy at three centers were enrolled. The serum albumin levels and peripheral lymphocyte count were measured at the time of diagnosis. PNI was calculated as 10 * serum albumin (g/dL) + 0.005 * total lymphocyte count (per mm3). Patients were categorized in two groups using a cut-off point of 50.2 as calculated by the receiver-operating curve analysis. Univariate and multivariate cox regression analyses were performed to evaluate PNI as a favorable prognostic factor for progression-free survival (PFS), cancer-specific survival (CSS) and overall survival (OS). Prognostic accuracy was evaluated with the Harrell concordance index. RESULTS: Multivariate analyses identified PNI as an independent prognostic indicator with respect to PFS (hazard ratio (HR) = 0.521, p = 0.001), CSS (HR = 0.421, p = 0.002) and OS (HR = 0.429, p = 0.001). Patients with elevated PNI had better clinical outcomes. The addition of PNI to the final models improved predictive accuracy (c-index: 0.758, 0.830 and 0.782) for PFS, CSS and OS compared with the clinicopathological base models (c-index: 0.736, 0.801 and 0.752), which included Gleason score and incidence of metastasis. CONCLUSIONS: Elevated pretreatment PNI was a favorable prognostic indicator for PCa patients treated with ADT. |
format | Online Article Text |
id | pubmed-7191702 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-71917022020-05-04 Pretreatment elevated prognostic nutritional index predicts a favorable prognosis in patients with prostate cancer Li, Bin Lu, Zheng Wang, Shengzheng Hou, Junqing Xia, Gang Li, Heng Yin, Bo Lu, Wei BMC Cancer Research Article BACKGROUND: The prognostic nutritional index (PNI), an immunity and nutrition based prognostic score, was correlated with clinical outcomes in different tumors. However, the prognostic significance of PNI has not been investigated in hormone sensitive prostate cancer (PCa). The objective of this study was to determine the prognostic significance of PNI in hormone sensitive PCa. METHODS: Two hundred eighty PCa patients undergoing androgen deprivation therapy (ADT) as first line therapy at three centers were enrolled. The serum albumin levels and peripheral lymphocyte count were measured at the time of diagnosis. PNI was calculated as 10 * serum albumin (g/dL) + 0.005 * total lymphocyte count (per mm3). Patients were categorized in two groups using a cut-off point of 50.2 as calculated by the receiver-operating curve analysis. Univariate and multivariate cox regression analyses were performed to evaluate PNI as a favorable prognostic factor for progression-free survival (PFS), cancer-specific survival (CSS) and overall survival (OS). Prognostic accuracy was evaluated with the Harrell concordance index. RESULTS: Multivariate analyses identified PNI as an independent prognostic indicator with respect to PFS (hazard ratio (HR) = 0.521, p = 0.001), CSS (HR = 0.421, p = 0.002) and OS (HR = 0.429, p = 0.001). Patients with elevated PNI had better clinical outcomes. The addition of PNI to the final models improved predictive accuracy (c-index: 0.758, 0.830 and 0.782) for PFS, CSS and OS compared with the clinicopathological base models (c-index: 0.736, 0.801 and 0.752), which included Gleason score and incidence of metastasis. CONCLUSIONS: Elevated pretreatment PNI was a favorable prognostic indicator for PCa patients treated with ADT. BioMed Central 2020-04-29 /pmc/articles/PMC7191702/ /pubmed/32349713 http://dx.doi.org/10.1186/s12885-020-06879-1 Text en © The Author(s) 2020 Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Li, Bin Lu, Zheng Wang, Shengzheng Hou, Junqing Xia, Gang Li, Heng Yin, Bo Lu, Wei Pretreatment elevated prognostic nutritional index predicts a favorable prognosis in patients with prostate cancer |
title | Pretreatment elevated prognostic nutritional index predicts a favorable prognosis in patients with prostate cancer |
title_full | Pretreatment elevated prognostic nutritional index predicts a favorable prognosis in patients with prostate cancer |
title_fullStr | Pretreatment elevated prognostic nutritional index predicts a favorable prognosis in patients with prostate cancer |
title_full_unstemmed | Pretreatment elevated prognostic nutritional index predicts a favorable prognosis in patients with prostate cancer |
title_short | Pretreatment elevated prognostic nutritional index predicts a favorable prognosis in patients with prostate cancer |
title_sort | pretreatment elevated prognostic nutritional index predicts a favorable prognosis in patients with prostate cancer |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7191702/ https://www.ncbi.nlm.nih.gov/pubmed/32349713 http://dx.doi.org/10.1186/s12885-020-06879-1 |
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