Research Article

Coexpression Network Analysis Identifies a Novel Nine-RNA Signature to Improve Prognostic Prediction for Prostate Cancer Patients

Table 3

The univariate and multivariate Cox regression analysis to identify independent prognostic factors.

VariablesTCGA ()Univariate analysisMultivariate analysis
HR95% CI valueHR95% CI value

Age (years, )1.0530.956-1.1602.91E-01
Pathologic_M (M0/M1/-)452/3/392.8920.470-5.3661.48E-01
Pathologic_N (N0/N1/-)344/78/723.6090.799-16.307.46E-02
Pathologic_T (T2/T3/T4/-)186/291/10/72.2420.601-8.3732.27E-01
Radiation therapy (yes/no/-)59/386/492.9840.577-15.422.33E-01
Targeted molecular therapy (yes/no/-)52/392/503.1270.592-16.522.20E-01
Gleason score (6/7/8/9/10)45/245/63/137/42.9591.337-6.5492.28E-031.6851.163-3.9632.32E-02
Prostate-specific antigen1.0621.004-1.1249.60E-051.0221.019-1.0541.52E-02
Recurrence (yes/no/-)368/58/687.2241.937-26.945.68E-042.0810.424-10.2223.67E-01
Prognostic score status (high/low)247/2479.5741.212-17.565.06E-035.8461.708-18.271.01E-02
Death (dead/alive)10/484
Overall survival days (months, )

SD: standard deviation; TCGA: The Cancer Genome Atlas; HR: hazard ratio; CI: confidence interval. Bold indicated the factors with statistical significance.