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Prognostic Nomogram for Patients with Radical Surgery for Non-Metastatic Colorectal Cancer Incorporating Hematological Biomarkers and Clinical Characteristics

BACKGROUND: There is a large difference in postoperative survival in patients with non-metastatic colorectal cancer. We aimed to develop nomograms incorporating both hematological biomarkers and clinical characteristics to predict overall survival (OS) in patients with radical surgery for non-metast...

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Autores principales: Long, Peiyun, Zang, Youya, Wang, Huan, Liang, Xiumei, Xie, Xuekun, Han, Zhiwei, Lin, Dongyi, Wang, Zongyu, Huang, Shan, Chen, Chuang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7069577/
https://www.ncbi.nlm.nih.gov/pubmed/32210575
http://dx.doi.org/10.2147/OTT.S240843
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author Long, Peiyun
Zang, Youya
Wang, Huan
Liang, Xiumei
Xie, Xuekun
Han, Zhiwei
Lin, Dongyi
Wang, Zongyu
Huang, Shan
Chen, Chuang
author_facet Long, Peiyun
Zang, Youya
Wang, Huan
Liang, Xiumei
Xie, Xuekun
Han, Zhiwei
Lin, Dongyi
Wang, Zongyu
Huang, Shan
Chen, Chuang
author_sort Long, Peiyun
collection PubMed
description BACKGROUND: There is a large difference in postoperative survival in patients with non-metastatic colorectal cancer. We aimed to develop nomograms incorporating both hematological biomarkers and clinical characteristics to predict overall survival (OS) in patients with radical surgery for non-metastatic colorectal cancer. METHODS: A retrospective analysis was performed on date from 508 patients who underwent radical resection of colorectal cancer at the Affiliated Tumor Hospital of Guangxi Medical University from December 2011 to December 2015. Simple random sampling was performed by dividing these patients into a training set (n=355) and validation set(n=153), which yielded a 7:3 ratio in the sample sizes between these groups. Based on COX regression analysis of the results from the training cohort, a nomogram was developed to predict the three-year and five-year overall survival rate, and internal verification was also performed. The nomogram prediction accuracy and discriminating ability were evaluated by Harrell’s C-index (C-index), calibration curves and were compared with the colorectal cancer TNM staging system. RESULTS: We found that age, degree of differentiation, T stage, N stage, neurological invasion, neutrophils, monocytes, HGB, and LDH were independent risk factors for predicting OS in patients with colorectal cancer. In the training cohort, the C index was 0.796 (95% CI: 0.761–0.831). In the validation cohort, the C index was 0.671 (95% CI: 0.656–0.686).The nomogram showed a stronger predictive ability than did TNM staging. Decision curve analysis showed that the nomogram had value in terms of clinical application. CONCLUSION: Our nomogram combined hematological biomarkers and clinical characteristics and was highly effective in predicting OS in patients with non-metastatic colorectal cancer. Hence, our nomogram may provide a reference tool for clinicians to guide individualized treatment and follow-ups for patients with colorectal cancer.
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spelling pubmed-70695772020-03-24 Prognostic Nomogram for Patients with Radical Surgery for Non-Metastatic Colorectal Cancer Incorporating Hematological Biomarkers and Clinical Characteristics Long, Peiyun Zang, Youya Wang, Huan Liang, Xiumei Xie, Xuekun Han, Zhiwei Lin, Dongyi Wang, Zongyu Huang, Shan Chen, Chuang Onco Targets Ther Original Research BACKGROUND: There is a large difference in postoperative survival in patients with non-metastatic colorectal cancer. We aimed to develop nomograms incorporating both hematological biomarkers and clinical characteristics to predict overall survival (OS) in patients with radical surgery for non-metastatic colorectal cancer. METHODS: A retrospective analysis was performed on date from 508 patients who underwent radical resection of colorectal cancer at the Affiliated Tumor Hospital of Guangxi Medical University from December 2011 to December 2015. Simple random sampling was performed by dividing these patients into a training set (n=355) and validation set(n=153), which yielded a 7:3 ratio in the sample sizes between these groups. Based on COX regression analysis of the results from the training cohort, a nomogram was developed to predict the three-year and five-year overall survival rate, and internal verification was also performed. The nomogram prediction accuracy and discriminating ability were evaluated by Harrell’s C-index (C-index), calibration curves and were compared with the colorectal cancer TNM staging system. RESULTS: We found that age, degree of differentiation, T stage, N stage, neurological invasion, neutrophils, monocytes, HGB, and LDH were independent risk factors for predicting OS in patients with colorectal cancer. In the training cohort, the C index was 0.796 (95% CI: 0.761–0.831). In the validation cohort, the C index was 0.671 (95% CI: 0.656–0.686).The nomogram showed a stronger predictive ability than did TNM staging. Decision curve analysis showed that the nomogram had value in terms of clinical application. CONCLUSION: Our nomogram combined hematological biomarkers and clinical characteristics and was highly effective in predicting OS in patients with non-metastatic colorectal cancer. Hence, our nomogram may provide a reference tool for clinicians to guide individualized treatment and follow-ups for patients with colorectal cancer. Dove 2020-03-09 /pmc/articles/PMC7069577/ /pubmed/32210575 http://dx.doi.org/10.2147/OTT.S240843 Text en © 2020 Long et al. http://creativecommons.org/licenses/by-nc/3.0/ This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php).
spellingShingle Original Research
Long, Peiyun
Zang, Youya
Wang, Huan
Liang, Xiumei
Xie, Xuekun
Han, Zhiwei
Lin, Dongyi
Wang, Zongyu
Huang, Shan
Chen, Chuang
Prognostic Nomogram for Patients with Radical Surgery for Non-Metastatic Colorectal Cancer Incorporating Hematological Biomarkers and Clinical Characteristics
title Prognostic Nomogram for Patients with Radical Surgery for Non-Metastatic Colorectal Cancer Incorporating Hematological Biomarkers and Clinical Characteristics
title_full Prognostic Nomogram for Patients with Radical Surgery for Non-Metastatic Colorectal Cancer Incorporating Hematological Biomarkers and Clinical Characteristics
title_fullStr Prognostic Nomogram for Patients with Radical Surgery for Non-Metastatic Colorectal Cancer Incorporating Hematological Biomarkers and Clinical Characteristics
title_full_unstemmed Prognostic Nomogram for Patients with Radical Surgery for Non-Metastatic Colorectal Cancer Incorporating Hematological Biomarkers and Clinical Characteristics
title_short Prognostic Nomogram for Patients with Radical Surgery for Non-Metastatic Colorectal Cancer Incorporating Hematological Biomarkers and Clinical Characteristics
title_sort prognostic nomogram for patients with radical surgery for non-metastatic colorectal cancer incorporating hematological biomarkers and clinical characteristics
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7069577/
https://www.ncbi.nlm.nih.gov/pubmed/32210575
http://dx.doi.org/10.2147/OTT.S240843
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