Cuproptosis-related LncRNA signatures as a prognostic model for head and neck squamous cell carcinoma

This study aimed to identify a CRlncRNAs signature, explore its prognostic value in HNSCC. RNA-seq data and relevant clinical data were downloaded from The Cancer Genome Atlas (TCGA) database, and cuproptosis-related genes were identified from a search of the relevant candidate-gene literature. Analysis of differentially expressed lncRNAs (DElncRNAs) was performed using the R package “edgeR”. The intersection of the lncRNAs between DElncRNAs and CRlncRNAs was obtained using the R package “Venn Diagram”. Univariate Cox regression was used to identify cuproptosis-related prognostic lncRNAs. LASSO-Cox method was used to narrow these cuproptosis-related prognostic lncRNAs an d construct a prognostic model. Multiple statistical methods were used to evaluate the predictive ability of the model. Moreover, the relationships between the model and immune cell subpopulations, related functions and pathways and drug sensitivity were explored. Then, two risk groups were establis hed according to the risk score calculated by the CRlncRNAs signature included three lncRNAs. In HNSCC patients, the risk score was a better predictor of survival than traditional clinicopathological features. In addition, significant differences in immune cells such as B cells, T cells and macropha ges were observed between the two groups. Finally, the high-risk group had a lower IC50 for certain chemotherapeutic agents, such as cisplatin and cetuximab. This 3 CRlncRNAs signature is a powerful prognostic ...
Source: Apoptosis - Category: Molecular Biology Source Type: research