Univariate and Multivariate Analyses for OS and CSS of
training cohortTo develop the prognostic model, we used Cox regression models to
screen for prognostic factors affecting OS and CSS. First, all 13
original variables were included in the regression model (Table 2).
Univariate Cox regression found that 10 variables were risk factors
for CSS in the Training cohort: race, marital status, grade, T stage,
N stage, TNM Stage, CEA, tumor size, surgery, radiation. In addition,
sex, race, marital status, grade, T stage, N stage, TNM Stage, CEA,
months from diagnosis to treatment, surgery, radiation and
chemotherapy were risk factors for OS. Subsequently, variables with
statistical significance (p<0.05) in univariate analysis
were included in multivariate analysis (Table 3). Multivariate
analysis results indicated that marital status, grade, T stage, N
stage, TNM Stage, CEA, tumor size, surgery and radiation were the
independent prognostic factors for CSS, whereas sex, race, marital
status, grade, T stage, N stage, TNM Stage, CEA, tumor size, months
from diagnosis to treatment, surgery, radiation and chemotherapy were
the independent prognostic factors for OS, and the multivariate
analysis results were presented by forest plot (Figure 2).
Table 2 Univariate Cox regression analysis of prognostic
factors for Training cohort.