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Development and validation of a novel nomogram to predict overall survival in gastric cancer with lymph node metastasis

Gastric cancer (GC) with lymph node metastasis (LNM) at diagnosis is associated with a unstable prognosis and indefinite survival times. The aim of the present study was to construct and validate a model for the Overall survival (OS) estimation for patients with LNM. The nomogram was constructed to...

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Autores principales: Mao, Minjie, Zhang, Ao, He, Yi, Zhang, Lin, Liu, Wen, Song, Yiling, Chen, Shuqi, Jiang, Guanmin, Wang, Xueping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Ivyspring International Publisher 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7053322/
https://www.ncbi.nlm.nih.gov/pubmed/32174797
http://dx.doi.org/10.7150/ijbs.39161
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author Mao, Minjie
Zhang, Ao
He, Yi
Zhang, Lin
Liu, Wen
Song, Yiling
Chen, Shuqi
Jiang, Guanmin
Wang, Xueping
author_facet Mao, Minjie
Zhang, Ao
He, Yi
Zhang, Lin
Liu, Wen
Song, Yiling
Chen, Shuqi
Jiang, Guanmin
Wang, Xueping
author_sort Mao, Minjie
collection PubMed
description Gastric cancer (GC) with lymph node metastasis (LNM) at diagnosis is associated with a unstable prognosis and indefinite survival times. The aim of the present study was to construct and validate a model for the Overall survival (OS) estimation for patients with LNM. The nomogram was constructed to predict the OS for LNM-positive GC using the primary group of 836 patients and validated using an independent cohort of 411 patients. Factors in the nomogram were identified by multivariate Cox hazard analysis. The predictive capability of nomogram was evaluated by calibration analysis and decision curve analysis. Multivariate analysis suggested that eight pre-treatment characteristics were used for developing the nomogram. In the primary cohort, the C-index for OS prediction was 0.788 (95% CI: 0.753-0.823), while in validation cohort, the C-index for OS prediction was 0.769 (95% CI: 0. 720-0.818). The calibration plot for the probability of OS and decision curve analyses showed an optimal agreement. Based on the nomogram, we could divided patients into three groups: low-risk group, middle-risk group and a high-risk group(p <0.001).Taken together, we have provided an easy-to-used and accurate tool for predicting OS, furthermore could be used for risk stratification of OS of LNM-positive GC patients.
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spelling pubmed-70533222020-03-13 Development and validation of a novel nomogram to predict overall survival in gastric cancer with lymph node metastasis Mao, Minjie Zhang, Ao He, Yi Zhang, Lin Liu, Wen Song, Yiling Chen, Shuqi Jiang, Guanmin Wang, Xueping Int J Biol Sci Research Paper Gastric cancer (GC) with lymph node metastasis (LNM) at diagnosis is associated with a unstable prognosis and indefinite survival times. The aim of the present study was to construct and validate a model for the Overall survival (OS) estimation for patients with LNM. The nomogram was constructed to predict the OS for LNM-positive GC using the primary group of 836 patients and validated using an independent cohort of 411 patients. Factors in the nomogram were identified by multivariate Cox hazard analysis. The predictive capability of nomogram was evaluated by calibration analysis and decision curve analysis. Multivariate analysis suggested that eight pre-treatment characteristics were used for developing the nomogram. In the primary cohort, the C-index for OS prediction was 0.788 (95% CI: 0.753-0.823), while in validation cohort, the C-index for OS prediction was 0.769 (95% CI: 0. 720-0.818). The calibration plot for the probability of OS and decision curve analyses showed an optimal agreement. Based on the nomogram, we could divided patients into three groups: low-risk group, middle-risk group and a high-risk group(p <0.001).Taken together, we have provided an easy-to-used and accurate tool for predicting OS, furthermore could be used for risk stratification of OS of LNM-positive GC patients. Ivyspring International Publisher 2020-02-10 /pmc/articles/PMC7053322/ /pubmed/32174797 http://dx.doi.org/10.7150/ijbs.39161 Text en © The author(s) This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/). See http://ivyspring.com/terms for full terms and conditions.
spellingShingle Research Paper
Mao, Minjie
Zhang, Ao
He, Yi
Zhang, Lin
Liu, Wen
Song, Yiling
Chen, Shuqi
Jiang, Guanmin
Wang, Xueping
Development and validation of a novel nomogram to predict overall survival in gastric cancer with lymph node metastasis
title Development and validation of a novel nomogram to predict overall survival in gastric cancer with lymph node metastasis
title_full Development and validation of a novel nomogram to predict overall survival in gastric cancer with lymph node metastasis
title_fullStr Development and validation of a novel nomogram to predict overall survival in gastric cancer with lymph node metastasis
title_full_unstemmed Development and validation of a novel nomogram to predict overall survival in gastric cancer with lymph node metastasis
title_short Development and validation of a novel nomogram to predict overall survival in gastric cancer with lymph node metastasis
title_sort development and validation of a novel nomogram to predict overall survival in gastric cancer with lymph node metastasis
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7053322/
https://www.ncbi.nlm.nih.gov/pubmed/32174797
http://dx.doi.org/10.7150/ijbs.39161
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