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Nomograms for predicting the prognostic value of serological tumor biomarkers in colorectal cancer patients after radical resection

A wide range of serum tumor biomarkers, including CA19-9, CA242, CA72-4, CA50, and CA125, has been studied in association with colorectal cancer (CRC). However, few previous studies have comprehensively considered the above tumor biomarkers to assess their clinical significance in predicting prognos...

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Autores principales: Li, Qingguo, Dai, Weixing, Li, Yaqi, Xu, Ye, Li, Xinxiang, Cai, Sanjun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5394458/
https://www.ncbi.nlm.nih.gov/pubmed/28417967
http://dx.doi.org/10.1038/srep46345
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author Li, Qingguo
Dai, Weixing
Li, Yaqi
Xu, Ye
Li, Xinxiang
Cai, Sanjun
author_facet Li, Qingguo
Dai, Weixing
Li, Yaqi
Xu, Ye
Li, Xinxiang
Cai, Sanjun
author_sort Li, Qingguo
collection PubMed
description A wide range of serum tumor biomarkers, including CA19-9, CA242, CA72-4, CA50, and CA125, has been studied in association with colorectal cancer (CRC). However, few previous studies have comprehensively considered the above tumor biomarkers to assess their clinical significance in predicting prognosis. Data from Fudan University Shanghai Cancer Center (FUSCC) between January 1, 2007 and December 30, 2012 was retrospectively analyzed. Univariate and multivariate analyses were performed to assess the association between prognostic factors and survival outcomes. Nomograms were established based on multivariate Cox regression model analysis for overall survival (OS) and disease free survival (DFS), and c-indexes were 0.772 (95% CI: 0.724-0.820) and 0.715 (95% CI: 0.678–0.752), respectively. Subgroup analyses according to CEA status (high/normal) suggested that CA724 was the only independent prognostic factor for OS (P = 0.001) and DFS (P < 0.001) in the CEA-high group, while, in the CEA-normal group, the only independent prognostic factor for OS (P = 0.031) and DFS (P = 0.043) was CA50. CA50 and CA724 could supplement CEA in monitoring recurrence and metastasis. Accordingly, nomograms based on CEA, CA50, CA724 and other clinical-pathological factors could improve prognosis prediction for colorectal cancer patients.
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spelling pubmed-53944582017-04-20 Nomograms for predicting the prognostic value of serological tumor biomarkers in colorectal cancer patients after radical resection Li, Qingguo Dai, Weixing Li, Yaqi Xu, Ye Li, Xinxiang Cai, Sanjun Sci Rep Article A wide range of serum tumor biomarkers, including CA19-9, CA242, CA72-4, CA50, and CA125, has been studied in association with colorectal cancer (CRC). However, few previous studies have comprehensively considered the above tumor biomarkers to assess their clinical significance in predicting prognosis. Data from Fudan University Shanghai Cancer Center (FUSCC) between January 1, 2007 and December 30, 2012 was retrospectively analyzed. Univariate and multivariate analyses were performed to assess the association between prognostic factors and survival outcomes. Nomograms were established based on multivariate Cox regression model analysis for overall survival (OS) and disease free survival (DFS), and c-indexes were 0.772 (95% CI: 0.724-0.820) and 0.715 (95% CI: 0.678–0.752), respectively. Subgroup analyses according to CEA status (high/normal) suggested that CA724 was the only independent prognostic factor for OS (P = 0.001) and DFS (P < 0.001) in the CEA-high group, while, in the CEA-normal group, the only independent prognostic factor for OS (P = 0.031) and DFS (P = 0.043) was CA50. CA50 and CA724 could supplement CEA in monitoring recurrence and metastasis. Accordingly, nomograms based on CEA, CA50, CA724 and other clinical-pathological factors could improve prognosis prediction for colorectal cancer patients. Nature Publishing Group 2017-04-18 /pmc/articles/PMC5394458/ /pubmed/28417967 http://dx.doi.org/10.1038/srep46345 Text en Copyright © 2017, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Li, Qingguo
Dai, Weixing
Li, Yaqi
Xu, Ye
Li, Xinxiang
Cai, Sanjun
Nomograms for predicting the prognostic value of serological tumor biomarkers in colorectal cancer patients after radical resection
title Nomograms for predicting the prognostic value of serological tumor biomarkers in colorectal cancer patients after radical resection
title_full Nomograms for predicting the prognostic value of serological tumor biomarkers in colorectal cancer patients after radical resection
title_fullStr Nomograms for predicting the prognostic value of serological tumor biomarkers in colorectal cancer patients after radical resection
title_full_unstemmed Nomograms for predicting the prognostic value of serological tumor biomarkers in colorectal cancer patients after radical resection
title_short Nomograms for predicting the prognostic value of serological tumor biomarkers in colorectal cancer patients after radical resection
title_sort nomograms for predicting the prognostic value of serological tumor biomarkers in colorectal cancer patients after radical resection
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5394458/
https://www.ncbi.nlm.nih.gov/pubmed/28417967
http://dx.doi.org/10.1038/srep46345
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