Differential Expression of Necroptosis-Related Genes with regulating lncRNA in Triple Negative Breast Cancer to Predict Prognosis and Immunotherapy Response

Purpose: Necroptosis is essential in tumor biology in which lncRNAs play an important role but related studies in triple negative breast cancer (TNBC) were insufficient.We aim to screen remarkable necroptosis-related lncRNA and construct a lncNRA-related risk model for precision of immunotherapy.Methods: Transcriptional data were acquired from TCGA database.Differentially expressed genes (DEGs) related to necroptosis were obtained in TNBC samples.LncRNAs related to DEGs were analyzed by following Cox and least absolute shrinkage and selection operator regression analysis.Prognosis-associated lncRNAs were brought into a model which divided training and testing samples into high-/low-risk subgroups.Survival analysis between these subgroups were conducted and independent variables of prognosis were selected.Nomogram was then created to predict prognosis of selected patients.Comparisons of immune landscape, tumor microenvironment, and immunotherapy response were performed between the two subgroups.Results: Seven necroptosis-related DEGs (NRGs) were found in TNBC.Six of 153 NRG-related lncRNAs were brought into model.Forecast performance was validated in testing datasets.Immune cell infiltration and T-cell activity was weaker in high-risk group compared with that in low-risk counterparts.Innate and adaptive immune cell abundance was inversely proportional to risk score.Compared with low-risk group, patients in high-risk group had lower immune/stromal/ESTIMATE score, lower expression of immune checkpoint molecules, and worse immunotherapy response.Conclusion: Six NRG-related lncRNAs were potential targets for future precision therapy of TNBC.Our model was effective in predicting the prognosis of TNBC patients and beneficial for decision-making of immunotherapy.