A novel necroptosis-related gene signature associated with immune landscape for predicting the prognosis of papillary thyroid cancer

• DOI: 10.3389/fgene.2022.947216
• Publication Date: 2022-09-15T09:12:38Z
• Authors: Zhiyuan Wang; Pu Wu; Jinyuan Shi; Xiaoyu Ji; Liang He; Wenwu Dong; Zhihong Wang; Hao Zhang; Wei Sun
• Keywords: Gene signature

Background: Necroptosis, a type of programmed cell death, has been implicated in variety cancer-related biological processes. However, the roles necroptosis-related genes thyroid cancer yet remain unknown. Methods: A gene signature was constructed using least absolute shrinkage and selection operator (LASSO) regression analysis Cox analysis. The predictive value prognostic validated an internal cohort. Additionally, single-sample set enrichment (ssGSEA) used to examine relationships between necroptosis immune cells, immunological functions, checkpoints. Next, modeled expressions were 96 pairs clinical tumor normal tissue samples. Finally, effects on PTC cells studied by RNA interference approaches vitro. Results: In this study, risk seven created predict prognosis papillary (PTC) patients, all patients divided into high- low-risk groups. Patients high-risk group fared worse terms overall survival than those group. area under curve (AUC) receiving operating characteristic (ROC) curves proved capability signature. score found be independent factor for multivariate showed increased infiltration activity, implying that they might respond better checkpoint inhibitor medication. GEO database qRT-PCR matched tumorous non-tumorous tissues validate expression PTCs, results compatible with TCGA database. overexpression IPMK, KLF9, SPATA2 could significantly inhibit proliferation, invasion migration cells. Conclusion: associated potential have patient outcome. findings study pave way further research link immunotherapy.