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.
| 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. | |||||