Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Sasaki, Masaru, Miyoshi, Norikatsu, Fujino, Shiki, Ishikawa, Satoshi, Saso, Kazuhiro, Takahashi, Hidekazu, Haraguchi, Naotsugu, Hata, Taishi, Matsuda, Chu, Mizushima, Tsunekazu, Doki, Yuichiro, Mori, Masaki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Japan Society of Coloproctology 2019
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
_version_ 1783456115482165248
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
work_keys_str_mv AT sasakimasaru developmentofnovelprognosticpredictionmodelsincludingtheprognosticnutritionalindexforpatientswithcolorectalcanceraftercurativeresection
AT miyoshinorikatsu developmentofnovelprognosticpredictionmodelsincludingtheprognosticnutritionalindexforpatientswithcolorectalcanceraftercurativeresection
AT fujinoshiki developmentofnovelprognosticpredictionmodelsincludingtheprognosticnutritionalindexforpatientswithcolorectalcanceraftercurativeresection
AT ishikawasatoshi developmentofnovelprognosticpredictionmodelsincludingtheprognosticnutritionalindexforpatientswithcolorectalcanceraftercurativeresection
AT sasokazuhiro developmentofnovelprognosticpredictionmodelsincludingtheprognosticnutritionalindexforpatientswithcolorectalcanceraftercurativeresection
AT takahashihidekazu developmentofnovelprognosticpredictionmodelsincludingtheprognosticnutritionalindexforpatientswithcolorectalcanceraftercurativeresection
AT haraguchinaotsugu developmentofnovelprognosticpredictionmodelsincludingtheprognosticnutritionalindexforpatientswithcolorectalcanceraftercurativeresection
AT hatataishi developmentofnovelprognosticpredictionmodelsincludingtheprognosticnutritionalindexforpatientswithcolorectalcanceraftercurativeresection
AT matsudachu developmentofnovelprognosticpredictionmodelsincludingtheprognosticnutritionalindexforpatientswithcolorectalcanceraftercurativeresection
AT mizushimatsunekazu developmentofnovelprognosticpredictionmodelsincludingtheprognosticnutritionalindexforpatientswithcolorectalcanceraftercurativeresection
AT dokiyuichiro developmentofnovelprognosticpredictionmodelsincludingtheprognosticnutritionalindexforpatientswithcolorectalcanceraftercurativeresection
AT morimasaki developmentofnovelprognosticpredictionmodelsincludingtheprognosticnutritionalindexforpatientswithcolorectalcanceraftercurativeresection