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Development and validation of a novel nomogram for predicting the prognosis of patients with resected pancreatic adenocarcinoma

The survival prediction for patients with resected pancreatic adenocarcinoma by using the Tumor-Node-Metastasis (TNM) staging system remains limited. A nomogram is a efficient tool that can be used to predict the outcome of patients with various types of malignancy. The present study aimed to develo...

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Autores principales: Ren, Hu, Wu, Chao-Rui, Aimaiti, Saderbieke, Wang, Cheng-Feng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: D.A. Spandidos 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7202273/
https://www.ncbi.nlm.nih.gov/pubmed/32382348
http://dx.doi.org/10.3892/ol.2020.11495
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author Ren, Hu
Wu, Chao-Rui
Aimaiti, Saderbieke
Wang, Cheng-Feng
author_facet Ren, Hu
Wu, Chao-Rui
Aimaiti, Saderbieke
Wang, Cheng-Feng
author_sort Ren, Hu
collection PubMed
description The survival prediction for patients with resected pancreatic adenocarcinoma by using the Tumor-Node-Metastasis (TNM) staging system remains limited. A nomogram is a efficient tool that can be used to predict the outcome of patients with various types of malignancy. The present study aimed to develop and validate a nomogram for patients with resected pancreatic adenocarcinoma. A total of 368 patients (258 in the training set and 110 in the validation set) who underwent pancreatic adenocarcinoma resection at the China National Cancer Center between January 2008 and October 2018 were included in the present study. The nomogram was established according to the results from Cox multivariate analysis, which was validated by discrimination and calibration. The area under the receiver operating characteristic curve (AUC) was determined to assess the accuracy of survival predictions. The results from multivariate analysis in the training set demonstrated that blood transfusion, T-stage, N-stage, tumor grade, capsule invasion, carbohydrate antigen 199, neutrophil percentage and adjuvant therapy were independent prognostic factors for overall survival (OS; all P<0.05). Subsequently, a nomogram predicting the 1-year, 3-year and 5-year OS rates, with favorable calibration, was established based on the independent prognostic factors. The concordance indices of the nomogram were higher compared with the TNM staging system in both training and validation sets. Furthermore, a clear risk stratification system based on the nomogram was used to classify patients into the three following groups: Low-risk group (≤168), moderate-risk group (168–255) and high-risk group (>255). The risk stratification system demonstrated an improved ability in predicting the 1-year, 3-year and 5-year OS rates compared with the TNM system (AUC, 0.758, 0.709 and 0.672 vs. AUC, 0.614, 0.604 and 0.568; all P<0.05). The present study developed and validated a nomogram for patients with resected pancreatic adenocarcinoma by including additional independent prognostic factors, including tumor marker, immune index, surgical information, pathological data and adjuvant therapy. Taken together, the results from the present study indicated an improved performance of the nomogram in predicting the prognosis of patients with resected pancreatic adenocarcinoma compared with the TNM staging system.
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spelling pubmed-72022732020-05-07 Development and validation of a novel nomogram for predicting the prognosis of patients with resected pancreatic adenocarcinoma Ren, Hu Wu, Chao-Rui Aimaiti, Saderbieke Wang, Cheng-Feng Oncol Lett Articles The survival prediction for patients with resected pancreatic adenocarcinoma by using the Tumor-Node-Metastasis (TNM) staging system remains limited. A nomogram is a efficient tool that can be used to predict the outcome of patients with various types of malignancy. The present study aimed to develop and validate a nomogram for patients with resected pancreatic adenocarcinoma. A total of 368 patients (258 in the training set and 110 in the validation set) who underwent pancreatic adenocarcinoma resection at the China National Cancer Center between January 2008 and October 2018 were included in the present study. The nomogram was established according to the results from Cox multivariate analysis, which was validated by discrimination and calibration. The area under the receiver operating characteristic curve (AUC) was determined to assess the accuracy of survival predictions. The results from multivariate analysis in the training set demonstrated that blood transfusion, T-stage, N-stage, tumor grade, capsule invasion, carbohydrate antigen 199, neutrophil percentage and adjuvant therapy were independent prognostic factors for overall survival (OS; all P<0.05). Subsequently, a nomogram predicting the 1-year, 3-year and 5-year OS rates, with favorable calibration, was established based on the independent prognostic factors. The concordance indices of the nomogram were higher compared with the TNM staging system in both training and validation sets. Furthermore, a clear risk stratification system based on the nomogram was used to classify patients into the three following groups: Low-risk group (≤168), moderate-risk group (168–255) and high-risk group (>255). The risk stratification system demonstrated an improved ability in predicting the 1-year, 3-year and 5-year OS rates compared with the TNM system (AUC, 0.758, 0.709 and 0.672 vs. AUC, 0.614, 0.604 and 0.568; all P<0.05). The present study developed and validated a nomogram for patients with resected pancreatic adenocarcinoma by including additional independent prognostic factors, including tumor marker, immune index, surgical information, pathological data and adjuvant therapy. Taken together, the results from the present study indicated an improved performance of the nomogram in predicting the prognosis of patients with resected pancreatic adenocarcinoma compared with the TNM staging system. D.A. Spandidos 2020-06 2020-03-29 /pmc/articles/PMC7202273/ /pubmed/32382348 http://dx.doi.org/10.3892/ol.2020.11495 Text en Copyright: © Ren et al. This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.
spellingShingle Articles
Ren, Hu
Wu, Chao-Rui
Aimaiti, Saderbieke
Wang, Cheng-Feng
Development and validation of a novel nomogram for predicting the prognosis of patients with resected pancreatic adenocarcinoma
title Development and validation of a novel nomogram for predicting the prognosis of patients with resected pancreatic adenocarcinoma
title_full Development and validation of a novel nomogram for predicting the prognosis of patients with resected pancreatic adenocarcinoma
title_fullStr Development and validation of a novel nomogram for predicting the prognosis of patients with resected pancreatic adenocarcinoma
title_full_unstemmed Development and validation of a novel nomogram for predicting the prognosis of patients with resected pancreatic adenocarcinoma
title_short Development and validation of a novel nomogram for predicting the prognosis of patients with resected pancreatic adenocarcinoma
title_sort development and validation of a novel nomogram for predicting the prognosis of patients with resected pancreatic adenocarcinoma
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7202273/
https://www.ncbi.nlm.nih.gov/pubmed/32382348
http://dx.doi.org/10.3892/ol.2020.11495
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