A novel oxidative stress-related gene signature to predict prognosis in cervical cancer

Abstract

Background Oxidative stress is closely correlated with tumor development and progression, which can act as a latent treatment target for cancer. The purpose of this study was to identified the oxidative stress-related gene (OSRG) profile of cervical cancer and established a novel prognostic prediction model. Methods Differentially expressed OSRGs between cervical cancer and paired normal tissues were extracted from the GeneCards and GEPIA databases. Clinical information was collected from patients with cervical cancer in TCGA cohort. Univariate Cox analysis together with the LASSO algorithm were used to determine prognosis-related genes, construct an OSRG-signature, and derive risk scores. Kaplan–Meier (K-M) survival analysis and receiver operating characteristic (ROC) curves were used to verify the predictive ability of the risk scores. At the same time, the correlation between risk scores and tumor immune cell infiltration and chemosensitivity was observed. Results An 10-OSRG signature was constructed. Patients with cervical cancer were categorized as high-risk or low-risk through the median risk score derived from the 10-OSRG signature. As shown by survival analysis, the median overall survival (OS) time of high-risk patients was significantly shorter than that of low-risk patients. The ROC curves also demonstrated the usefulness of the 10-OSRG signature for predicting the prognosis of cervical cancer patients. The risk scores derived from the 10-OSRG signature and 5 clinical variables were used to develop a nomogram, which can be used to predict 1-, 3-, and 5-year survival rates in patients with cervical cancer. Immunological analysis suggested that the tumor killer immune cells in the low-risk group were higher than those in the high-risk group. The sensitivity of the two subgroups to various chemotherapy drugs were different. Conclusion A novel 10-OSRG signature was constructed and verified to forecast the prognosis of patients with cervical cancer and provide novel insights and directions for cervical carcinoma.