Nomograms for Predicting the Prognostic Value of Serological Tumor Biomarkers in Colorectal Cancer Patients After Radical Resection

Overview

Journal Sci Rep

Specialty Science

Date 2017 Apr 19

PMID 28417967

Citations 17

Authors

Qingguo Li

Weixing Dai

Yaqi Li

Ye Xu

Xinxiang Li

Sanjun Cai

Affiliations

Soon will be listed here.

Abstract

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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