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

<h4>Purpose</h4>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.<h4>Materials and methods</h4>ACRC patients rec...

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Main Authors: Guifang Guo, Xiuxing Chen, Wenzhuo He, Haohua Wang, Yixing Wang, Pili Hu, Yuming Rong, Lei Fan, Liangping Xia
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2018-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0208547
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spelling doaj-4771093f808843ef983981bc4f70b49d2021-03-04T10:40:03ZengPublic Library of Science (PLoS)PLoS ONE1932-62032018-01-011312e020854710.1371/journal.pone.0208547Establishment of inflammation biomarkers-based nomograms to predict prognosis of advanced colorectal cancer patients based on real world data.Guifang GuoXiuxing ChenWenzhuo HeHaohua WangYixing WangPili HuYuming RongLei FanLiangping Xia<h4>Purpose</h4>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.<h4>Materials and methods</h4>ACRC patients receiving medicine therapy from January 1st, 2005 to September 31th, 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.<h4>Results</h4>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.<h4>Conclusions</h4>Inflammatory factors enrolled in the proposed nomograms showed accurately individualized prognostic prediction, and prognostic factors for RSCC and LSCRC were different.https://doi.org/10.1371/journal.pone.0208547
collection DOAJ
language English
format Article
sources DOAJ
author Guifang Guo
Xiuxing Chen
Wenzhuo He
Haohua Wang
Yixing Wang
Pili Hu
Yuming Rong
Lei Fan
Liangping Xia
spellingShingle Guifang Guo
Xiuxing Chen
Wenzhuo He
Haohua Wang
Yixing Wang
Pili Hu
Yuming Rong
Lei Fan
Liangping Xia
Establishment of inflammation biomarkers-based nomograms to predict prognosis of advanced colorectal cancer patients based on real world data.
PLoS ONE
author_facet Guifang Guo
Xiuxing Chen
Wenzhuo He
Haohua Wang
Yixing Wang
Pili Hu
Yuming Rong
Lei Fan
Liangping Xia
author_sort Guifang Guo
title 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_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_sort establishment of inflammation biomarkers-based nomograms to predict prognosis of advanced colorectal cancer patients based on real world data.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2018-01-01
description <h4>Purpose</h4>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.<h4>Materials and methods</h4>ACRC patients receiving medicine therapy from January 1st, 2005 to September 31th, 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.<h4>Results</h4>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.<h4>Conclusions</h4>Inflammatory factors enrolled in the proposed nomograms showed accurately individualized prognostic prediction, and prognostic factors for RSCC and LSCRC were different.
url https://doi.org/10.1371/journal.pone.0208547
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