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Establishment of inflammation biomarkers-based nomograms to predict prognosis of advanced colorectal cancer patients based on real world data

PURPOSE: To establish three novel prognostic nomograms with inflammatory factors for advanced colorectal cancer (ACRC), right-sided colon cancer (RSCC) and left-sided colorectal cancer (LSCRC) according to real world data. MATERIALS AND METHODS: ACRC patients receiving medicine therapy from January...

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Autores principales: Guo, Guifang, Chen, Xiuxing, He, Wenzhuo, Wang, Haohua, Wang, Yixing, Hu, Pili, Rong, Yuming, Fan, Lei, Xia, Liangping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6279229/
https://www.ncbi.nlm.nih.gov/pubmed/30513126
http://dx.doi.org/10.1371/journal.pone.0208547
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author Guo, Guifang
Chen, Xiuxing
He, Wenzhuo
Wang, Haohua
Wang, Yixing
Hu, Pili
Rong, Yuming
Fan, Lei
Xia, Liangping
author_facet Guo, Guifang
Chen, Xiuxing
He, Wenzhuo
Wang, Haohua
Wang, Yixing
Hu, Pili
Rong, Yuming
Fan, Lei
Xia, Liangping
author_sort Guo, Guifang
collection PubMed
description PURPOSE: To establish three novel prognostic nomograms with inflammatory factors for advanced colorectal cancer (ACRC), right-sided colon cancer (RSCC) and left-sided colorectal cancer (LSCRC) according to real world data. MATERIALS AND METHODS: ACRC patients receiving medicine therapy from January 1(st), 2005 to September 31(th), 2015 in Sun Yat-sen University Cancer Center were enrolled. Inflammatory indicators such as the neutrophil-to-lymphocyte ratio (NLR), the platelet-lymphocyte ratio (PLR), carcinoembryonic antigen (CEA), carbohydrate antigen 19–9 (CA 19–9), lactate dehydrogenase (LDH) and C-reactive protein (CRP) were analyzed for establishing nomograms predicting overall survival (OS). Concordance index (C-index) determined predictive accuracy and discriminative ability. RESULTS: Our study selected 807 ACRC patients, 29.6% RSCC and 70.4% LSCRC. Median OS was 23.36 months. Patients at lower level of NLR, PLR, CEA, CA 19–9, LDH and CRP showed longer OS (P < 0.001). For all patients, pathological grade (P = 0.018), treatments (P = 0.042), sidedness (P = 0.003), NLR (P < 0.001), CA 19–9 (P < 0.001), LDH (P < 0.001) and CRP (P = 0.0012) contributed to OS independently. For RSCC, pathological grade (P = 0.022), CA 19–9 (P < 0.001), LDH (P < 0.001) and CRP (P = 0.001) were significantly related with OS. For LSCRC patients, treatments (cetuximab vs chemotherapy: P = 0.008; bevacizumab vs chemotherapy: P = 0.166), NLR (P < 0.001), CA 19–9 (P = 0.030) and LDH (P < 0.001) were independent factors for OS. Final models showed acceptable internal validity with C-indexes of 0.687, 0.697 and 0.667 in all, RSCC and LSCRC patients. CONCLUSIONS: Inflammatory factors enrolled in the proposed nomograms showed accurately individualized prognostic prediction, and prognostic factors for RSCC and LSCRC were different.
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spelling pubmed-62792292018-12-20 Establishment of inflammation biomarkers-based nomograms to predict prognosis of advanced colorectal cancer patients based on real world data Guo, Guifang Chen, Xiuxing He, Wenzhuo Wang, Haohua Wang, Yixing Hu, Pili Rong, Yuming Fan, Lei Xia, Liangping PLoS One Research Article PURPOSE: To establish three novel prognostic nomograms with inflammatory factors for advanced colorectal cancer (ACRC), right-sided colon cancer (RSCC) and left-sided colorectal cancer (LSCRC) according to real world data. MATERIALS AND METHODS: ACRC patients receiving medicine therapy from January 1(st), 2005 to September 31(th), 2015 in Sun Yat-sen University Cancer Center were enrolled. Inflammatory indicators such as the neutrophil-to-lymphocyte ratio (NLR), the platelet-lymphocyte ratio (PLR), carcinoembryonic antigen (CEA), carbohydrate antigen 19–9 (CA 19–9), lactate dehydrogenase (LDH) and C-reactive protein (CRP) were analyzed for establishing nomograms predicting overall survival (OS). Concordance index (C-index) determined predictive accuracy and discriminative ability. RESULTS: Our study selected 807 ACRC patients, 29.6% RSCC and 70.4% LSCRC. Median OS was 23.36 months. Patients at lower level of NLR, PLR, CEA, CA 19–9, LDH and CRP showed longer OS (P < 0.001). For all patients, pathological grade (P = 0.018), treatments (P = 0.042), sidedness (P = 0.003), NLR (P < 0.001), CA 19–9 (P < 0.001), LDH (P < 0.001) and CRP (P = 0.0012) contributed to OS independently. For RSCC, pathological grade (P = 0.022), CA 19–9 (P < 0.001), LDH (P < 0.001) and CRP (P = 0.001) were significantly related with OS. For LSCRC patients, treatments (cetuximab vs chemotherapy: P = 0.008; bevacizumab vs chemotherapy: P = 0.166), NLR (P < 0.001), CA 19–9 (P = 0.030) and LDH (P < 0.001) were independent factors for OS. Final models showed acceptable internal validity with C-indexes of 0.687, 0.697 and 0.667 in all, RSCC and LSCRC patients. CONCLUSIONS: Inflammatory factors enrolled in the proposed nomograms showed accurately individualized prognostic prediction, and prognostic factors for RSCC and LSCRC were different. Public Library of Science 2018-12-04 /pmc/articles/PMC6279229/ /pubmed/30513126 http://dx.doi.org/10.1371/journal.pone.0208547 Text en © 2018 Guo et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Guo, Guifang
Chen, Xiuxing
He, Wenzhuo
Wang, Haohua
Wang, Yixing
Hu, Pili
Rong, Yuming
Fan, Lei
Xia, Liangping
Establishment of inflammation biomarkers-based nomograms to predict prognosis of advanced colorectal cancer patients based on real world data
title Establishment of inflammation biomarkers-based nomograms to predict prognosis of advanced colorectal cancer patients based on real world data
title_full Establishment of inflammation biomarkers-based nomograms to predict prognosis of advanced colorectal cancer patients based on real world data
title_fullStr Establishment of inflammation biomarkers-based nomograms to predict prognosis of advanced colorectal cancer patients based on real world data
title_full_unstemmed Establishment of inflammation biomarkers-based nomograms to predict prognosis of advanced colorectal cancer patients based on real world data
title_short Establishment of inflammation biomarkers-based nomograms to predict prognosis of advanced colorectal cancer patients based on real world data
title_sort establishment of inflammation biomarkers-based nomograms to predict prognosis of advanced colorectal cancer patients based on real world data
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6279229/
https://www.ncbi.nlm.nih.gov/pubmed/30513126
http://dx.doi.org/10.1371/journal.pone.0208547
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