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Tumor volume increases the predictive accuracy of prognosis for gastric cancer: A retrospective cohort study of 3409 patients

Tumor diameter or T stage does not reflect the actual tumor burden and is not able to estimate accurate prognosis of gastric cancer. The current study aimed to evaluate the prognostic value of tumor volume (V) for gastric cancer. A total of 3409 enrolled gastric cancer patients were randomly divided...

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Autores principales: Liu, Zhen, Gao, Peng, Liu, Shushang, Zheng, Gaozan, Yang, Jianjun, Sun, Li, Hong, Liu, Fan, Daiming, Zhang, Hongwei, Feng, Fan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5386662/
https://www.ncbi.nlm.nih.gov/pubmed/28145885
http://dx.doi.org/10.18632/oncotarget.14859
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author Liu, Zhen
Gao, Peng
Liu, Shushang
Zheng, Gaozan
Yang, Jianjun
Sun, Li
Hong, Liu
Fan, Daiming
Zhang, Hongwei
Feng, Fan
author_facet Liu, Zhen
Gao, Peng
Liu, Shushang
Zheng, Gaozan
Yang, Jianjun
Sun, Li
Hong, Liu
Fan, Daiming
Zhang, Hongwei
Feng, Fan
author_sort Liu, Zhen
collection PubMed
description Tumor diameter or T stage does not reflect the actual tumor burden and is not able to estimate accurate prognosis of gastric cancer. The current study aimed to evaluate the prognostic value of tumor volume (V) for gastric cancer. A total of 3409 enrolled gastric cancer patients were randomly divided into training set (n = 1705) and validation set (n = 1704). Tumor volume was calculated by the formula V = Tumor diameter × (T stage)(2)/2. The survival predictive accuracy and prognostic discriminatory ability between different variables and staging systems were analyzed. Four optimal cutoff points for V were obtained in training set (3.5, 8.6, 25.0, 45.0, all P < 0.001). V stage was significantly associated with tumor location, macroscopic type, differentiation degree, tumor diameter, T stage, N stage, vessel invasion, neural invasion and TNM stage (all P < 0.001). V stage was an independent prognostic factor both in training and validation set. V stage showed better predictive accuracy and prognostic discriminatory ability than tumor diameter and T stage. VNM staging system also have advantages in predictive accuracy and prognostic discriminatory ability than TNM staging system. The VNM multivariable model represent good agreement between the predicted survival and actual survival. In conclusion, tumor volume was significantly associated with clinicopathological features and prognosis of gastric cancer. In comparison with TNM staging system, VNM staging system could improve the predictive accuracy and prognostic discriminatory ability for gastric cancer.
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spelling pubmed-53866622017-04-26 Tumor volume increases the predictive accuracy of prognosis for gastric cancer: A retrospective cohort study of 3409 patients Liu, Zhen Gao, Peng Liu, Shushang Zheng, Gaozan Yang, Jianjun Sun, Li Hong, Liu Fan, Daiming Zhang, Hongwei Feng, Fan Oncotarget Research Paper Tumor diameter or T stage does not reflect the actual tumor burden and is not able to estimate accurate prognosis of gastric cancer. The current study aimed to evaluate the prognostic value of tumor volume (V) for gastric cancer. A total of 3409 enrolled gastric cancer patients were randomly divided into training set (n = 1705) and validation set (n = 1704). Tumor volume was calculated by the formula V = Tumor diameter × (T stage)(2)/2. The survival predictive accuracy and prognostic discriminatory ability between different variables and staging systems were analyzed. Four optimal cutoff points for V were obtained in training set (3.5, 8.6, 25.0, 45.0, all P < 0.001). V stage was significantly associated with tumor location, macroscopic type, differentiation degree, tumor diameter, T stage, N stage, vessel invasion, neural invasion and TNM stage (all P < 0.001). V stage was an independent prognostic factor both in training and validation set. V stage showed better predictive accuracy and prognostic discriminatory ability than tumor diameter and T stage. VNM staging system also have advantages in predictive accuracy and prognostic discriminatory ability than TNM staging system. The VNM multivariable model represent good agreement between the predicted survival and actual survival. In conclusion, tumor volume was significantly associated with clinicopathological features and prognosis of gastric cancer. In comparison with TNM staging system, VNM staging system could improve the predictive accuracy and prognostic discriminatory ability for gastric cancer. Impact Journals LLC 2017-01-27 /pmc/articles/PMC5386662/ /pubmed/28145885 http://dx.doi.org/10.18632/oncotarget.14859 Text en Copyright: © 2017 Liu and et al. http://creativecommons.org/licenses/by/3.0/ 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, Zhen
Gao, Peng
Liu, Shushang
Zheng, Gaozan
Yang, Jianjun
Sun, Li
Hong, Liu
Fan, Daiming
Zhang, Hongwei
Feng, Fan
Tumor volume increases the predictive accuracy of prognosis for gastric cancer: A retrospective cohort study of 3409 patients
title Tumor volume increases the predictive accuracy of prognosis for gastric cancer: A retrospective cohort study of 3409 patients
title_full Tumor volume increases the predictive accuracy of prognosis for gastric cancer: A retrospective cohort study of 3409 patients
title_fullStr Tumor volume increases the predictive accuracy of prognosis for gastric cancer: A retrospective cohort study of 3409 patients
title_full_unstemmed Tumor volume increases the predictive accuracy of prognosis for gastric cancer: A retrospective cohort study of 3409 patients
title_short Tumor volume increases the predictive accuracy of prognosis for gastric cancer: A retrospective cohort study of 3409 patients
title_sort tumor volume increases the predictive accuracy of prognosis for gastric cancer: a retrospective cohort study of 3409 patients
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5386662/
https://www.ncbi.nlm.nih.gov/pubmed/28145885
http://dx.doi.org/10.18632/oncotarget.14859
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