Abstract
Disulfidptosis, a new identified form of regulated cell death, has been implicated in cancer. However, the mechanisms through which disulfidptosis-related long noncoding RNAs (lncRNAs) predict prognosis in cervical cancer (CC) remain unclear. Here, we identified disulfidptosis-related genes and lncRNAs in the cancer genome atlas database. Least absolute shrinkage and selection operator and Cox regression analyses were used to construct a prognostic risk signature based on optimal disulfidptosis-related lncRNAs. The prognostic performance of the signature was evaluated using Kaplan-Meier survival analysis and receiver operating characteristic curves. Correlation between the risk signature, gene mutation landscape, tumor immune microenvironment, and immunotherapy or chemotherapy sensitivity was determined. Additionally, the expression levels of disulfidptosis-related lncRNAs in CC were validated by quantitative PCR. A total of 403 disulfidptosis-related lncRNAs were identified, among which 9 disulfidptosis-related lncRNAs were used to construct a prognostic risk signature that classified patients with CC into high-risk and low-risk groups. Kaplan-Meier, receiver operating characteristic curves, and the concordance index demonstrated that the risk signature exhibited good sensitivity and specificity. The low-risk group exhibited improved survival outcomes and increased sensitivity to immunotherapy, whereas the high-risk group showed heightened sensitivity to to bexarotene, bicalutamide, embelin, FH535, and pazopanib. Quantitative PCR results indicated that ILF3-DT and PPP1R14B-AS1 were downregulated in CC tissues, whereas RUSC1-AS1 was upregulated. In conclusion, we developed a novel prognostic risk signature based on 9 disulfidptosis-related lncRNAs, which may serve as an independent predictor of immunotherapy response and chemotherapy sensitivity in CC.