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Novel Model to Predict the Prognosis of Patients with Stage II–III Colon Cancer

Different opinions exist on the relationship between the C-reactive protein-to-albumin ratio (CAR) and the prognosis of colon cancer. This study is aimed at evaluating the relationship between CAR and prognosis of stage II–III colon cancer and establishing a clinical prognosis model. Patients were r...

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Autores principales: Xu, Yansong, Liang, Fangfang, Chen, Yi, Wang, Zhen, Zhong, Huage, Tang, Weizhong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7704148/
https://www.ncbi.nlm.nih.gov/pubmed/33299880
http://dx.doi.org/10.1155/2020/8812974
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author Xu, Yansong
Liang, Fangfang
Chen, Yi
Wang, Zhen
Zhong, Huage
Tang, Weizhong
author_facet Xu, Yansong
Liang, Fangfang
Chen, Yi
Wang, Zhen
Zhong, Huage
Tang, Weizhong
author_sort Xu, Yansong
collection PubMed
description Different opinions exist on the relationship between the C-reactive protein-to-albumin ratio (CAR) and the prognosis of colon cancer. This study is aimed at evaluating the relationship between CAR and prognosis of stage II–III colon cancer and establishing a clinical prognosis model. Patients were randomised to a training set (566 cases) and validation set (110 cases). The relationship between CAR and clinicopathological variables was calculated, and the Kaplan-Meier method was used to analyse the overall survival (OS) rate of colon cancer. In the training set, colon cancer independent risk factors were included in the prognosis model and then tested in the validation set. The accuracy and discrimination of the model were assessed using the C-index and calibration curves. Compared with patients with low CAR, patients with high CAR showed significantly poorer survival (P = 0.020). In the multivariate analysis, CAR, carcinoembryonic antigen (CEA), lymph node metastasis, operation mode, and perineural invasion were identified as independent prognostic indicators and adopted to establish the prediction model. The C-index of the nomogram for predicting OS reached 0.751 in the training set and 0.719 in the validation set. The calibration curve exhibited good consistency. In the present study, the CAR may be an independent prognostic factor for stage II–III colon cancer, and the nomogram has a certain predictive value. However, further prospective large-sample research needs to be conducted to validate our findings.
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spelling pubmed-77041482020-12-08 Novel Model to Predict the Prognosis of Patients with Stage II–III Colon Cancer Xu, Yansong Liang, Fangfang Chen, Yi Wang, Zhen Zhong, Huage Tang, Weizhong Biomed Res Int Research Article Different opinions exist on the relationship between the C-reactive protein-to-albumin ratio (CAR) and the prognosis of colon cancer. This study is aimed at evaluating the relationship between CAR and prognosis of stage II–III colon cancer and establishing a clinical prognosis model. Patients were randomised to a training set (566 cases) and validation set (110 cases). The relationship between CAR and clinicopathological variables was calculated, and the Kaplan-Meier method was used to analyse the overall survival (OS) rate of colon cancer. In the training set, colon cancer independent risk factors were included in the prognosis model and then tested in the validation set. The accuracy and discrimination of the model were assessed using the C-index and calibration curves. Compared with patients with low CAR, patients with high CAR showed significantly poorer survival (P = 0.020). In the multivariate analysis, CAR, carcinoembryonic antigen (CEA), lymph node metastasis, operation mode, and perineural invasion were identified as independent prognostic indicators and adopted to establish the prediction model. The C-index of the nomogram for predicting OS reached 0.751 in the training set and 0.719 in the validation set. The calibration curve exhibited good consistency. In the present study, the CAR may be an independent prognostic factor for stage II–III colon cancer, and the nomogram has a certain predictive value. However, further prospective large-sample research needs to be conducted to validate our findings. Hindawi 2020-11-22 /pmc/articles/PMC7704148/ /pubmed/33299880 http://dx.doi.org/10.1155/2020/8812974 Text en Copyright © 2020 Yansong Xu et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Xu, Yansong
Liang, Fangfang
Chen, Yi
Wang, Zhen
Zhong, Huage
Tang, Weizhong
Novel Model to Predict the Prognosis of Patients with Stage II–III Colon Cancer
title Novel Model to Predict the Prognosis of Patients with Stage II–III Colon Cancer
title_full Novel Model to Predict the Prognosis of Patients with Stage II–III Colon Cancer
title_fullStr Novel Model to Predict the Prognosis of Patients with Stage II–III Colon Cancer
title_full_unstemmed Novel Model to Predict the Prognosis of Patients with Stage II–III Colon Cancer
title_short Novel Model to Predict the Prognosis of Patients with Stage II–III Colon Cancer
title_sort novel model to predict the prognosis of patients with stage ii–iii colon cancer
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7704148/
https://www.ncbi.nlm.nih.gov/pubmed/33299880
http://dx.doi.org/10.1155/2020/8812974
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