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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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 |
work_keys_str_mv |
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