A novel cuproptosis-related lncRNA prognostic signature in thyroid cancer

Aims: We aimed to investigate the value of cuproptosis-related lncRNA in screening out high-risk thyroid cancer patients. Materials & methods: RNA sequencing data of thyroid cancer were obtained from The Cancer Genome Atlas. A cuproptosis-related lncRNA signature was constructed by using Cox regression. Results: Four cuproptosis-related lncRNAs were used to construct a survival prognosis model for thyroid cancer. The receiver operating characteristic curve showed that the area under the curve reached 0.830 at 1 year, 0.790 at 3 years and 0.824 at 5 years. Conclusion: The model may help to screen out thyroid cancer patients at high risk, and thus develop more appropriate treatment strategies. The incidence of thyroid cancer (TC) is increasing and in most patients the standard treatment is effective. However, a regional recurrence or distant metastasis is observed in some patients with aggressive TC. Hence, finding reliable biomarkers to predict patients at risk of recurrence or distant metastasis and formulating effective treatment strategies have important clinical significance. In this study, we proposed a novel prediction model for TC patients. The model may help to screen out TC patients at risk of local recurrence or distant metastasis, and thus develop more appropriate treatment strategies.