Cargando…
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...
Autores principales: | , , , , , |
---|---|
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 |
_version_ | 1783229733850316800 |
---|---|
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. |
format | Online Article Text |
id | pubmed-5394458 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT liqingguo nomogramsforpredictingtheprognosticvalueofserologicaltumorbiomarkersincolorectalcancerpatientsafterradicalresection AT daiweixing nomogramsforpredictingtheprognosticvalueofserologicaltumorbiomarkersincolorectalcancerpatientsafterradicalresection AT liyaqi nomogramsforpredictingtheprognosticvalueofserologicaltumorbiomarkersincolorectalcancerpatientsafterradicalresection AT xuye nomogramsforpredictingtheprognosticvalueofserologicaltumorbiomarkersincolorectalcancerpatientsafterradicalresection AT lixinxiang nomogramsforpredictingtheprognosticvalueofserologicaltumorbiomarkersincolorectalcancerpatientsafterradicalresection AT caisanjun nomogramsforpredictingtheprognosticvalueofserologicaltumorbiomarkersincolorectalcancerpatientsafterradicalresection |