Cargando…

Development and validation of prognostic nomograms based on De Ritis ratio and clinicopathological features for patients with stage II/III colorectal cancer

BACKGROUND: Metabolic derangements and systemic inflammation are related to the progression of colorectal cancer (CRC) and the prognoses of these patients. The survival of stage II and III CRC patients existed considerable heterogeneity highlighting the urgent need for new prediction models. This st...

Descripción completa

Detalles Bibliográficos
Autores principales: Fu, Jinming, Du, Fenqi, Tian, Tian, Huang, Hao, Zhang, Lei, Li, Dapeng, Liu, Yupeng, Zhang, Ding, Gao, Lijing, Zheng, Ting, Liu, Yanlong, Zhao, Yashuang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10318767/
https://www.ncbi.nlm.nih.gov/pubmed/37400788
http://dx.doi.org/10.1186/s12885-023-11125-5
_version_ 1785068109997015040
author Fu, Jinming
Du, Fenqi
Tian, Tian
Huang, Hao
Zhang, Lei
Li, Dapeng
Liu, Yupeng
Zhang, Ding
Gao, Lijing
Zheng, Ting
Liu, Yanlong
Zhao, Yashuang
author_facet Fu, Jinming
Du, Fenqi
Tian, Tian
Huang, Hao
Zhang, Lei
Li, Dapeng
Liu, Yupeng
Zhang, Ding
Gao, Lijing
Zheng, Ting
Liu, Yanlong
Zhao, Yashuang
author_sort Fu, Jinming
collection PubMed
description BACKGROUND: Metabolic derangements and systemic inflammation are related to the progression of colorectal cancer (CRC) and the prognoses of these patients. The survival of stage II and III CRC patients existed considerable heterogeneity highlighting the urgent need for new prediction models. This study aimed to develop and validate prognostic nomograms based on preoperative serum liver enzyme as well as evaluate the clinical utility. METHODS: A total of 4014 stage II/III primary CRC patients pathologically diagnosed from January 2007 to December 2013 were included in this study. These patients were randomly divided into a training set (n = 2409) and a testing set (n = 1605). Univariate and multivariate Cox analyses were used to select the independent factors for predicting overall survival (OS) and disease-free survival (DFS) of stage II/III CRC patients. Next, nomograms were constructed and validated to predict the OS and DFS of individual CRC patients. The clinical utility of nomograms, tumor-node-metastasis (TNM), and the American Joint Committee on Cancer (AJCC) system was evaluated using time-dependent ROC and decision curve analyses. RESULTS: Among seven preoperative serum liver enzyme markers, aspartate aminotransferase-to-alanine aminotransferase ratio (De Ritis ratio) was identified as an independent factor for predicting both OS and DFS of stage II/III CRC patients. The nomograms incorporated De Ritis ratio and significant clinicopathological features achieved good accuracy in terms of OS and DFS prediction, with C-index of 0.715 and 0.692, respectively. The calibration curve showed good agreement between prediction by nomogram and actual observation. The results of time-dependent ROC and decision curve analyses suggested that the nomograms had improved discrimination and greater clinical benefits compared with TNM and AJCC staging. CONCLUSIONS: De Ritis ratio was an independent predictor in predicting both the OS and DFS of patients with stage II/III CRC. Nomograms based on De Ritis ratio and clinicopathological features showed better clinical utility, which is expected to help clinicians develop appropriate individual treatment strategies for patients with stage II /III CRC. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-023-11125-5.
format Online
Article
Text
id pubmed-10318767
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-103187672023-07-05 Development and validation of prognostic nomograms based on De Ritis ratio and clinicopathological features for patients with stage II/III colorectal cancer Fu, Jinming Du, Fenqi Tian, Tian Huang, Hao Zhang, Lei Li, Dapeng Liu, Yupeng Zhang, Ding Gao, Lijing Zheng, Ting Liu, Yanlong Zhao, Yashuang BMC Cancer Research BACKGROUND: Metabolic derangements and systemic inflammation are related to the progression of colorectal cancer (CRC) and the prognoses of these patients. The survival of stage II and III CRC patients existed considerable heterogeneity highlighting the urgent need for new prediction models. This study aimed to develop and validate prognostic nomograms based on preoperative serum liver enzyme as well as evaluate the clinical utility. METHODS: A total of 4014 stage II/III primary CRC patients pathologically diagnosed from January 2007 to December 2013 were included in this study. These patients were randomly divided into a training set (n = 2409) and a testing set (n = 1605). Univariate and multivariate Cox analyses were used to select the independent factors for predicting overall survival (OS) and disease-free survival (DFS) of stage II/III CRC patients. Next, nomograms were constructed and validated to predict the OS and DFS of individual CRC patients. The clinical utility of nomograms, tumor-node-metastasis (TNM), and the American Joint Committee on Cancer (AJCC) system was evaluated using time-dependent ROC and decision curve analyses. RESULTS: Among seven preoperative serum liver enzyme markers, aspartate aminotransferase-to-alanine aminotransferase ratio (De Ritis ratio) was identified as an independent factor for predicting both OS and DFS of stage II/III CRC patients. The nomograms incorporated De Ritis ratio and significant clinicopathological features achieved good accuracy in terms of OS and DFS prediction, with C-index of 0.715 and 0.692, respectively. The calibration curve showed good agreement between prediction by nomogram and actual observation. The results of time-dependent ROC and decision curve analyses suggested that the nomograms had improved discrimination and greater clinical benefits compared with TNM and AJCC staging. CONCLUSIONS: De Ritis ratio was an independent predictor in predicting both the OS and DFS of patients with stage II/III CRC. Nomograms based on De Ritis ratio and clinicopathological features showed better clinical utility, which is expected to help clinicians develop appropriate individual treatment strategies for patients with stage II /III CRC. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-023-11125-5. BioMed Central 2023-07-03 /pmc/articles/PMC10318767/ /pubmed/37400788 http://dx.doi.org/10.1186/s12885-023-11125-5 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Fu, Jinming
Du, Fenqi
Tian, Tian
Huang, Hao
Zhang, Lei
Li, Dapeng
Liu, Yupeng
Zhang, Ding
Gao, Lijing
Zheng, Ting
Liu, Yanlong
Zhao, Yashuang
Development and validation of prognostic nomograms based on De Ritis ratio and clinicopathological features for patients with stage II/III colorectal cancer
title Development and validation of prognostic nomograms based on De Ritis ratio and clinicopathological features for patients with stage II/III colorectal cancer
title_full Development and validation of prognostic nomograms based on De Ritis ratio and clinicopathological features for patients with stage II/III colorectal cancer
title_fullStr Development and validation of prognostic nomograms based on De Ritis ratio and clinicopathological features for patients with stage II/III colorectal cancer
title_full_unstemmed Development and validation of prognostic nomograms based on De Ritis ratio and clinicopathological features for patients with stage II/III colorectal cancer
title_short Development and validation of prognostic nomograms based on De Ritis ratio and clinicopathological features for patients with stage II/III colorectal cancer
title_sort development and validation of prognostic nomograms based on de ritis ratio and clinicopathological features for patients with stage ii/iii colorectal cancer
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10318767/
https://www.ncbi.nlm.nih.gov/pubmed/37400788
http://dx.doi.org/10.1186/s12885-023-11125-5
work_keys_str_mv AT fujinming developmentandvalidationofprognosticnomogramsbasedonderitisratioandclinicopathologicalfeaturesforpatientswithstageiiiiicolorectalcancer
AT dufenqi developmentandvalidationofprognosticnomogramsbasedonderitisratioandclinicopathologicalfeaturesforpatientswithstageiiiiicolorectalcancer
AT tiantian developmentandvalidationofprognosticnomogramsbasedonderitisratioandclinicopathologicalfeaturesforpatientswithstageiiiiicolorectalcancer
AT huanghao developmentandvalidationofprognosticnomogramsbasedonderitisratioandclinicopathologicalfeaturesforpatientswithstageiiiiicolorectalcancer
AT zhanglei developmentandvalidationofprognosticnomogramsbasedonderitisratioandclinicopathologicalfeaturesforpatientswithstageiiiiicolorectalcancer
AT lidapeng developmentandvalidationofprognosticnomogramsbasedonderitisratioandclinicopathologicalfeaturesforpatientswithstageiiiiicolorectalcancer
AT liuyupeng developmentandvalidationofprognosticnomogramsbasedonderitisratioandclinicopathologicalfeaturesforpatientswithstageiiiiicolorectalcancer
AT zhangding developmentandvalidationofprognosticnomogramsbasedonderitisratioandclinicopathologicalfeaturesforpatientswithstageiiiiicolorectalcancer
AT gaolijing developmentandvalidationofprognosticnomogramsbasedonderitisratioandclinicopathologicalfeaturesforpatientswithstageiiiiicolorectalcancer
AT zhengting developmentandvalidationofprognosticnomogramsbasedonderitisratioandclinicopathologicalfeaturesforpatientswithstageiiiiicolorectalcancer
AT liuyanlong developmentandvalidationofprognosticnomogramsbasedonderitisratioandclinicopathologicalfeaturesforpatientswithstageiiiiicolorectalcancer
AT zhaoyashuang developmentandvalidationofprognosticnomogramsbasedonderitisratioandclinicopathologicalfeaturesforpatientswithstageiiiiicolorectalcancer