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Prognostic nomogram to predict the overall survival of patients with early-onset colorectal cancer: a population-based analysis
PURPOSE: The present study aimed to identify independent clinicopathological and socio-economic prognostic factors associated with overall survival of early-onset colorectal cancer (EO-CRC) patients and then establish and validate a prognostic nomogram for patients with EO-CRC. METHODS: Eligible pat...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8346459/ https://www.ncbi.nlm.nih.gov/pubmed/34322745 http://dx.doi.org/10.1007/s00384-021-03992-w |
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author | Wu, Junxian Lu, Linbin Chen, Hong Lin, Yihong Zhang, Huanlin Chen, Enlin Lin, Weiwei Li, Jie Chen, Xi |
author_facet | Wu, Junxian Lu, Linbin Chen, Hong Lin, Yihong Zhang, Huanlin Chen, Enlin Lin, Weiwei Li, Jie Chen, Xi |
author_sort | Wu, Junxian |
collection | PubMed |
description | PURPOSE: The present study aimed to identify independent clinicopathological and socio-economic prognostic factors associated with overall survival of early-onset colorectal cancer (EO-CRC) patients and then establish and validate a prognostic nomogram for patients with EO-CRC. METHODS: Eligible patients with EO-CRC diagnosed from 2010 to 2017 were extracted from the Surveillance, Epidemiology, and End Results (SEER) database. Patients were randomly divided into a training cohort and a testing cohort. Independent prognostic factors were obtained using univariate and multivariate Cox analyses and were used to establish a nomogram for predicting 3- and 5-year overall survival (OS). The discriminative ability and calibration of the nomogram were assessed using C-index values, AUC values, and calibration plots. RESULTS: In total, 5585 patients with EO-CRC were involved in the study. Based on the univariate and multivariate analyses, 15 independent prognostic factors were assembled into the nomogram to predict 3- and 5-year OS. The nomogram showed favorable discriminatory ability as indicated by the C-index (0.840, 95% CI 0.827–0.850), and the 3- and 5-year AUC values (0.868 and 0.84869 respectively). Calibration plots indicated optimal agreement between the nomogram-predicted survival and the actual observed survival. The results remained reproducible in the testing cohort. The C-index of the nomogram was higher than that of the TNM staging system (0.840 vs 0.804, P < 0.001). CONCLUSION: A novel prognostic nomogram for EO-CRC patients based on independent clinicopathological and socio-economic factors was developed, which was superior to the TNM staging system. The nomogram could facilitate postoperative individual prognosis prediction and clinical decision-making. |
format | Online Article Text |
id | pubmed-8346459 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-83464592021-08-20 Prognostic nomogram to predict the overall survival of patients with early-onset colorectal cancer: a population-based analysis Wu, Junxian Lu, Linbin Chen, Hong Lin, Yihong Zhang, Huanlin Chen, Enlin Lin, Weiwei Li, Jie Chen, Xi Int J Colorectal Dis Original Article PURPOSE: The present study aimed to identify independent clinicopathological and socio-economic prognostic factors associated with overall survival of early-onset colorectal cancer (EO-CRC) patients and then establish and validate a prognostic nomogram for patients with EO-CRC. METHODS: Eligible patients with EO-CRC diagnosed from 2010 to 2017 were extracted from the Surveillance, Epidemiology, and End Results (SEER) database. Patients were randomly divided into a training cohort and a testing cohort. Independent prognostic factors were obtained using univariate and multivariate Cox analyses and were used to establish a nomogram for predicting 3- and 5-year overall survival (OS). The discriminative ability and calibration of the nomogram were assessed using C-index values, AUC values, and calibration plots. RESULTS: In total, 5585 patients with EO-CRC were involved in the study. Based on the univariate and multivariate analyses, 15 independent prognostic factors were assembled into the nomogram to predict 3- and 5-year OS. The nomogram showed favorable discriminatory ability as indicated by the C-index (0.840, 95% CI 0.827–0.850), and the 3- and 5-year AUC values (0.868 and 0.84869 respectively). Calibration plots indicated optimal agreement between the nomogram-predicted survival and the actual observed survival. The results remained reproducible in the testing cohort. The C-index of the nomogram was higher than that of the TNM staging system (0.840 vs 0.804, P < 0.001). CONCLUSION: A novel prognostic nomogram for EO-CRC patients based on independent clinicopathological and socio-economic factors was developed, which was superior to the TNM staging system. The nomogram could facilitate postoperative individual prognosis prediction and clinical decision-making. Springer Berlin Heidelberg 2021-07-29 2021 /pmc/articles/PMC8346459/ /pubmed/34322745 http://dx.doi.org/10.1007/s00384-021-03992-w Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Original Article Wu, Junxian Lu, Linbin Chen, Hong Lin, Yihong Zhang, Huanlin Chen, Enlin Lin, Weiwei Li, Jie Chen, Xi Prognostic nomogram to predict the overall survival of patients with early-onset colorectal cancer: a population-based analysis |
title | Prognostic nomogram to predict the overall survival of patients with early-onset colorectal cancer: a population-based analysis |
title_full | Prognostic nomogram to predict the overall survival of patients with early-onset colorectal cancer: a population-based analysis |
title_fullStr | Prognostic nomogram to predict the overall survival of patients with early-onset colorectal cancer: a population-based analysis |
title_full_unstemmed | Prognostic nomogram to predict the overall survival of patients with early-onset colorectal cancer: a population-based analysis |
title_short | Prognostic nomogram to predict the overall survival of patients with early-onset colorectal cancer: a population-based analysis |
title_sort | prognostic nomogram to predict the overall survival of patients with early-onset colorectal cancer: a population-based analysis |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8346459/ https://www.ncbi.nlm.nih.gov/pubmed/34322745 http://dx.doi.org/10.1007/s00384-021-03992-w |
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