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Development of Novel Prognostic Prediction Models including the Prognostic Nutritional Index for Patients with Colorectal Cancer after Curative Resection
Objectives: It has been reported that there is an association between the nutritional condition and the prognosis of cancer. Here, we evaluated the relation between the prognostic nutritional index (PNI) and colorectal cancer (CRC). Methods: A total of 184 patients with CRC who underwent curative su...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Japan Society of Coloproctology
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6774735/ https://www.ncbi.nlm.nih.gov/pubmed/31583325 http://dx.doi.org/10.23922/jarc.2018-041 |
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author | Sasaki, Masaru Miyoshi, Norikatsu Fujino, Shiki Ishikawa, Satoshi Saso, Kazuhiro Takahashi, Hidekazu Haraguchi, Naotsugu Hata, Taishi Matsuda, Chu Mizushima, Tsunekazu Doki, Yuichiro Mori, Masaki |
author_facet | Sasaki, Masaru Miyoshi, Norikatsu Fujino, Shiki Ishikawa, Satoshi Saso, Kazuhiro Takahashi, Hidekazu Haraguchi, Naotsugu Hata, Taishi Matsuda, Chu Mizushima, Tsunekazu Doki, Yuichiro Mori, Masaki |
author_sort | Sasaki, Masaru |
collection | PubMed |
description | Objectives: It has been reported that there is an association between the nutritional condition and the prognosis of cancer. Here, we evaluated the relation between the prognostic nutritional index (PNI) and colorectal cancer (CRC). Methods: A total of 184 patients with CRC who underwent curative surgery from October 2011 to December 2012 at the Osaka University Hospital were investigated. According to the median PNI value of our data set, patients were classified into a high-PNI (≥46) group and a low-PNI (<46) group. The relationship between the PNI and the disease-free survival (DFS) and overall survival (OS) was analyzed by a Cox regression model. Results: A low PNI was significantly associated with poor DFS (P = 0.006) and OS (P < 0.001). A multivariate analysis showed that low PNI, venous invasion (present), and tumor location (rectum) were independent risk factors for recurrence. Low PNI, advanced age, and venous invasion were found to be independent risk factors for mortality. Using these clinicopathological factors, we developed nomograms to predict DFS and OS. The concordance index was 0.828 for DFS and 0.756 for OS. Conclusions: A low PNI is a prognostic indicator for recurrence and mortality in CRC. Nomograms constructed by clinicopathological factors including the PNI can provide individual prognostic outcomes. |
format | Online Article Text |
id | pubmed-6774735 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | The Japan Society of Coloproctology |
record_format | MEDLINE/PubMed |
spelling | pubmed-67747352019-10-03 Development of Novel Prognostic Prediction Models including the Prognostic Nutritional Index for Patients with Colorectal Cancer after Curative Resection Sasaki, Masaru Miyoshi, Norikatsu Fujino, Shiki Ishikawa, Satoshi Saso, Kazuhiro Takahashi, Hidekazu Haraguchi, Naotsugu Hata, Taishi Matsuda, Chu Mizushima, Tsunekazu Doki, Yuichiro Mori, Masaki J Anus Rectum Colon Original Research Article Objectives: It has been reported that there is an association between the nutritional condition and the prognosis of cancer. Here, we evaluated the relation between the prognostic nutritional index (PNI) and colorectal cancer (CRC). Methods: A total of 184 patients with CRC who underwent curative surgery from October 2011 to December 2012 at the Osaka University Hospital were investigated. According to the median PNI value of our data set, patients were classified into a high-PNI (≥46) group and a low-PNI (<46) group. The relationship between the PNI and the disease-free survival (DFS) and overall survival (OS) was analyzed by a Cox regression model. Results: A low PNI was significantly associated with poor DFS (P = 0.006) and OS (P < 0.001). A multivariate analysis showed that low PNI, venous invasion (present), and tumor location (rectum) were independent risk factors for recurrence. Low PNI, advanced age, and venous invasion were found to be independent risk factors for mortality. Using these clinicopathological factors, we developed nomograms to predict DFS and OS. The concordance index was 0.828 for DFS and 0.756 for OS. Conclusions: A low PNI is a prognostic indicator for recurrence and mortality in CRC. Nomograms constructed by clinicopathological factors including the PNI can provide individual prognostic outcomes. The Japan Society of Coloproctology 2019-07-30 /pmc/articles/PMC6774735/ /pubmed/31583325 http://dx.doi.org/10.23922/jarc.2018-041 Text en Copyright © 2019 by The Japan Society of Coloproctology https://creativecommons.org/licenses/by-nc-nd/4.0/ Journal of the Anus, Rectum and Colon is an Open Access journal distributed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. To view the details of this license, please visit (https://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Original Research Article Sasaki, Masaru Miyoshi, Norikatsu Fujino, Shiki Ishikawa, Satoshi Saso, Kazuhiro Takahashi, Hidekazu Haraguchi, Naotsugu Hata, Taishi Matsuda, Chu Mizushima, Tsunekazu Doki, Yuichiro Mori, Masaki Development of Novel Prognostic Prediction Models including the Prognostic Nutritional Index for Patients with Colorectal Cancer after Curative Resection |
title | Development of Novel Prognostic Prediction Models including the Prognostic Nutritional Index for Patients with Colorectal Cancer after Curative Resection |
title_full | Development of Novel Prognostic Prediction Models including the Prognostic Nutritional Index for Patients with Colorectal Cancer after Curative Resection |
title_fullStr | Development of Novel Prognostic Prediction Models including the Prognostic Nutritional Index for Patients with Colorectal Cancer after Curative Resection |
title_full_unstemmed | Development of Novel Prognostic Prediction Models including the Prognostic Nutritional Index for Patients with Colorectal Cancer after Curative Resection |
title_short | Development of Novel Prognostic Prediction Models including the Prognostic Nutritional Index for Patients with Colorectal Cancer after Curative Resection |
title_sort | development of novel prognostic prediction models including the prognostic nutritional index for patients with colorectal cancer after curative resection |
topic | Original Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6774735/ https://www.ncbi.nlm.nih.gov/pubmed/31583325 http://dx.doi.org/10.23922/jarc.2018-041 |
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