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. 2021 Nov 27;27:e934161-1–e934161-22. doi: 10.12659/MSM.934161

Table 1.

Identification of prognosis-associated OSRGs in glioma samples.

Gene Univariate Cox regression Multivariate Cox regression Coefficient value
Hazard ratio P value Hazard ratio P value
ARG1 1.765611 0.000486 1.331385 0.09786 0.286219
COL1A1 2.152233 5.99E-47 1.283431 0.003625 0.249537
DHRS2 0.60862 1.07E-13 0.68651 4.44E-07 −0.37613
DPEP1 1.702555 1.41E-24 1.172631 0.019606 0.15925
EZH2 2.787418 1.48E-25 0.680391 0.029804 −0.38509
GATA4 1.938937 1.23E-17 1.447765 4.01E-05 0.370021
HP 1.207974 1.83E-05
IPCEF1 0.635518 1.18E-08 1.389578 0.007091 0.329
KCNC2 0.534093 1.69E-30 0.760656 0.000178 −0.27357
MELK 2.883717 4.28E-58 2.964994 1.01E-14 1.086875
MIR133A1 0.400577 0.041315
MMP3 1.356823 0.003276 1.250917 0.069461 0.223877
MYB 2.261163 7.28E-18
PTGS2 1.368135 6.04E-06 0.854968 0.096688 −0.15669
PXDNL 2.388241 9.55E-25 0.84379 0.148546 −0.16985
RBM11 0.703728 1.65E-06 1.182832 0.061561 0.167912
SDC1 2.618513 7.24E-48
TAT 0.516778 0.000167 0.56148 0.001091 −0.57718

Eighteen oxidative stress-related genes (OSRGs) were screened using univariate Cox regression analysis. Fourteen OSRGs were screened using multivariate Cox regression analysis.