27 November 2021>: Database Analysis
Identifying the Predictive Role of Oxidative Stress Genes in the Prognosis of Glioma Patients
Di Lu 12BCDE , Ning Yang 12BEF , Shuai Wang 12CDE , Wenyu Liu 12CD , Di Zhang 12AF , Jian Wang 123AG , Bin Huang 12AE* , Xingang Li 12AG*DOI: 10.12659/MSM.934161
Med Sci Monit 2021; 27:e934161
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 | ||
1.765611 | 0.000486 | 1.331385 | 0.09786 | 0.286219 | |
2.152233 | 5.99E-47 | 1.283431 | 0.003625 | 0.249537 | |
0.60862 | 1.07E-13 | 0.68651 | 4.44E-07 | −0.37613 | |
1.702555 | 1.41E-24 | 1.172631 | 0.019606 | 0.15925 | |
2.787418 | 1.48E-25 | 0.680391 | 0.029804 | −0.38509 | |
1.938937 | 1.23E-17 | 1.447765 | 4.01E-05 | 0.370021 | |
1.207974 | 1.83E-05 | – | – | – | |
0.635518 | 1.18E-08 | 1.389578 | 0.007091 | 0.329 | |
0.534093 | 1.69E-30 | 0.760656 | 0.000178 | −0.27357 | |
2.883717 | 4.28E-58 | 2.964994 | 1.01E-14 | 1.086875 | |
0.400577 | 0.041315 | – | – | – | |
1.356823 | 0.003276 | 1.250917 | 0.069461 | 0.223877 | |
2.261163 | 7.28E-18 | – | – | – | |
1.368135 | 6.04E-06 | 0.854968 | 0.096688 | −0.15669 | |
2.388241 | 9.55E-25 | 0.84379 | 0.148546 | −0.16985 | |
0.703728 | 1.65E-06 | 1.182832 | 0.061561 | 0.167912 | |
2.618513 | 7.24E-48 | – | – | – | |
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. |