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Nomogram based on systemic inflammatory response markers predicting the survival of patients with resectable gastric cancer after D2 gastrectomy

This study aimed to construct a nomogram to predict survival of patients with resectable gastric cancer (RGC) based on both clinicopathology characteristics and systemic inflammatory response markers (SIRMs). Of 3,452 RGC patients after D2 gastrectomy at the Sun Yat-sen University Cancer Center, 105...

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Autores principales: Liu, Jianjun, Geng, Qirong, Chen, Shangxiang, Liu, Xuechao, Kong, Pengfei, Zhou, Zhiwei, Zhan, Youqing, Xu, Dazhi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5122331/
https://www.ncbi.nlm.nih.gov/pubmed/27121054
http://dx.doi.org/10.18632/oncotarget.8788
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author Liu, Jianjun
Geng, Qirong
Chen, Shangxiang
Liu, Xuechao
Kong, Pengfei
Zhou, Zhiwei
Zhan, Youqing
Xu, Dazhi
author_facet Liu, Jianjun
Geng, Qirong
Chen, Shangxiang
Liu, Xuechao
Kong, Pengfei
Zhou, Zhiwei
Zhan, Youqing
Xu, Dazhi
author_sort Liu, Jianjun
collection PubMed
description This study aimed to construct a nomogram to predict survival of patients with resectable gastric cancer (RGC) based on both clinicopathology characteristics and systemic inflammatory response markers (SIRMs). Of 3,452 RGC patients after D2 gastrectomy at the Sun Yat-sen University Cancer Center, 1058 patients who met the inclusion criterion were analyzed. The patients operated on from January 1, 2005 to December 31, 2009 were assigned to the training set (817 patients) to establish a nomogram, and the rest (241 patients) were selected as validation set. Based on the training set, seven independent risk factors were selected in the nomogram. The calibration curves for probability of 1-year, 3-year and 5-year overall survival (OS) showed satisfactory accordance between nomogram prediction and actual observation. When the metastatic lymph node stage (mLNS) is replaced by metastasis lymph node ratio (mLNR) in validation set, the C-index in predicting OS rise from 0.77 to 0.79, higher than that of 7th American Joint Committee on Cancer 7th (AJCC) staging system (0.70; p<0.001). In conclusions, the proposed nomogram which including mLNR and routine detected SIRMs resulted in optimal survival prediction for RGC patients after D2 gastrectomy.
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spelling pubmed-51223312016-12-05 Nomogram based on systemic inflammatory response markers predicting the survival of patients with resectable gastric cancer after D2 gastrectomy Liu, Jianjun Geng, Qirong Chen, Shangxiang Liu, Xuechao Kong, Pengfei Zhou, Zhiwei Zhan, Youqing Xu, Dazhi Oncotarget Research Paper This study aimed to construct a nomogram to predict survival of patients with resectable gastric cancer (RGC) based on both clinicopathology characteristics and systemic inflammatory response markers (SIRMs). Of 3,452 RGC patients after D2 gastrectomy at the Sun Yat-sen University Cancer Center, 1058 patients who met the inclusion criterion were analyzed. The patients operated on from January 1, 2005 to December 31, 2009 were assigned to the training set (817 patients) to establish a nomogram, and the rest (241 patients) were selected as validation set. Based on the training set, seven independent risk factors were selected in the nomogram. The calibration curves for probability of 1-year, 3-year and 5-year overall survival (OS) showed satisfactory accordance between nomogram prediction and actual observation. When the metastatic lymph node stage (mLNS) is replaced by metastasis lymph node ratio (mLNR) in validation set, the C-index in predicting OS rise from 0.77 to 0.79, higher than that of 7th American Joint Committee on Cancer 7th (AJCC) staging system (0.70; p<0.001). In conclusions, the proposed nomogram which including mLNR and routine detected SIRMs resulted in optimal survival prediction for RGC patients after D2 gastrectomy. Impact Journals LLC 2016-04-18 /pmc/articles/PMC5122331/ /pubmed/27121054 http://dx.doi.org/10.18632/oncotarget.8788 Text en Copyright: © 2016 Liu et al. http://creativecommons.org/licenses/by/2.5/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Paper
Liu, Jianjun
Geng, Qirong
Chen, Shangxiang
Liu, Xuechao
Kong, Pengfei
Zhou, Zhiwei
Zhan, Youqing
Xu, Dazhi
Nomogram based on systemic inflammatory response markers predicting the survival of patients with resectable gastric cancer after D2 gastrectomy
title Nomogram based on systemic inflammatory response markers predicting the survival of patients with resectable gastric cancer after D2 gastrectomy
title_full Nomogram based on systemic inflammatory response markers predicting the survival of patients with resectable gastric cancer after D2 gastrectomy
title_fullStr Nomogram based on systemic inflammatory response markers predicting the survival of patients with resectable gastric cancer after D2 gastrectomy
title_full_unstemmed Nomogram based on systemic inflammatory response markers predicting the survival of patients with resectable gastric cancer after D2 gastrectomy
title_short Nomogram based on systemic inflammatory response markers predicting the survival of patients with resectable gastric cancer after D2 gastrectomy
title_sort nomogram based on systemic inflammatory response markers predicting the survival of patients with resectable gastric cancer after d2 gastrectomy
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5122331/
https://www.ncbi.nlm.nih.gov/pubmed/27121054
http://dx.doi.org/10.18632/oncotarget.8788
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