Research Article

Recurrence-Associated Multi-RNA Signature to Predict Disease-Free Survival for Ovarian Cancer Patients

Table 2

The most optimal signature combination.

TypeSymbolExpressionUnivariate Cox regression analysisLASSO coefficient
logFCFDRHR95% CIp value

miRNAHsa-miR-506−1.013.91E − 020.940.88–0.990.014−0.20
CodingMAGI3−0.711.15E − 020.560.41–0.780.001−0.27
CodingSLAMF7−0.994.43E − 020.750.62–0.920.005−0.29
CodingGLI2−0.853.58E − 020.740.59–0.930.010−0.12
CodingPDK1−0.723.93E − 020.660.47–0.910.011−0.08
CodingARID3A−0.842.99E − 020.720.55–0.940.017−0.02
CodingPLEKHG4B−0.791.25E − 020.800.65–0.970.027−0.03
miRNAHsa-miR-508−0.764.84E − 021.321.02–1.750.0480.12
lncRNATM4SF1-AS10.992.88E − 031.281.01–1.620.0370.04
CodingTNFAIP8L30.896.30E − 032.0821.37–3.160.0010.29
CodingC1QTNF30.851.70E − 021.3311.11–1.590.0020.13
CodingNDUFAF10.652.24E − 031.7911.22–2.620.0030.15
CodingCH25H0.904.70E − 021.391.05–1.830.0190.16
CodingTMEM1290.601.41E − 021.4101.04–1.920.0280.14

LASSO, least absolute shrinkage and selection operator; FC, fold change; FDR, false discovery rate; HR, hazard ratio; CI, confidence interval.