Cargando…
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...
Autores principales: | , , , , , , , , |
---|---|
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 |
_version_ | 1783378481924538368 |
---|---|
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. |
format | Online Article Text |
id | pubmed-6279229 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT guoguifang establishmentofinflammationbiomarkersbasednomogramstopredictprognosisofadvancedcolorectalcancerpatientsbasedonrealworlddata AT chenxiuxing establishmentofinflammationbiomarkersbasednomogramstopredictprognosisofadvancedcolorectalcancerpatientsbasedonrealworlddata AT hewenzhuo establishmentofinflammationbiomarkersbasednomogramstopredictprognosisofadvancedcolorectalcancerpatientsbasedonrealworlddata AT wanghaohua establishmentofinflammationbiomarkersbasednomogramstopredictprognosisofadvancedcolorectalcancerpatientsbasedonrealworlddata AT wangyixing establishmentofinflammationbiomarkersbasednomogramstopredictprognosisofadvancedcolorectalcancerpatientsbasedonrealworlddata AT hupili establishmentofinflammationbiomarkersbasednomogramstopredictprognosisofadvancedcolorectalcancerpatientsbasedonrealworlddata AT rongyuming establishmentofinflammationbiomarkersbasednomogramstopredictprognosisofadvancedcolorectalcancerpatientsbasedonrealworlddata AT fanlei establishmentofinflammationbiomarkersbasednomogramstopredictprognosisofadvancedcolorectalcancerpatientsbasedonrealworlddata AT xialiangping establishmentofinflammationbiomarkersbasednomogramstopredictprognosisofadvancedcolorectalcancerpatientsbasedonrealworlddata |