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27 November 2021 : Database Analysis  

Identifying the Predictive Role of Oxidative Stress Genes in the Prognosis of Glioma Patients

Di Lu12BCDE, Ning Yang12BEF, Shuai Wang12CDE, Wenyu Liu12CD, Di Zhang12AF, Jian Wang123AG, Bin Huang12AE, Xingang Li12AG*

DOI: 10.12659/MSM.934161

Med Sci Monit 2021; 27:e934161

Table 1 Identification of prognosis-associated OSRGs in glioma samples.

GeneUnivariate Cox regressionMultivariate Cox regressionCoefficient value
Hazard ratioP valueHazard ratioP value
1.7656110.0004861.3313850.097860.286219
2.1522335.99E-471.2834310.0036250.249537
0.608621.07E-130.686514.44E-07−0.37613
1.7025551.41E-241.1726310.0196060.15925
2.7874181.48E-250.6803910.029804−0.38509
1.9389371.23E-171.4477654.01E-050.370021
1.2079741.83E-05
0.6355181.18E-081.3895780.0070910.329
0.5340931.69E-300.7606560.000178−0.27357
2.8837174.28E-582.9649941.01E-141.086875
0.4005770.041315
1.3568230.0032761.2509170.0694610.223877
2.2611637.28E-18
1.3681356.04E-060.8549680.096688−0.15669
2.3882419.55E-250.843790.148546−0.16985
0.7037281.65E-061.1828320.0615610.167912
2.6185137.24E-48
0.5167780.0001670.561480.001091−0.57718
Eighteen oxidative stress-related genes (OSRGs) were screened using univariate Cox regression analysis. Fourteen OSRGs were screened using multivariate Cox regression analysis.

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Medical Science Monitor eISSN: 1643-3750
Medical Science Monitor eISSN: 1643-3750