Establishment of a novel signature to predict prognosis and immune characteristics of pancreatic cancer based on necroptosis-related long non-coding RNA

Abstract

BackgroundNecroptosis plays an important role in tumor genesis and progression. Long non-coding RNAs (IncRNAs) have been proven a regulatory factor of necroptosis in various tumors. However, the real role of necroptosis-related lncRNAs (NRLs) and their potential to predict the prognosis of pancreatic cancer (PC) remain largely unclear.Methods 178 PC patients' RNA sequencing data and clinical pro les were downloaded from The Cancer Genome Atlas (TCGA) database. NRLs were identi ed using Pearson correlation analysis. Then, patients were divided into the training set and the validation set at a 1 : 1 ratio. Subsequently, Cox and LASSO regression analyses were conducted to establish a prognostic NRLs signature in the training set and validation set. The predictive e cacy of the 5-NRLs signature was assessed by survival analysis, nomogram, COX regression, clinicopathological features correlation analysis, and the operating characteristic (ROC) curve. Furthermore, correlations between the risk score (RS) and immune cell in ltration, immune checkpoint molecules, somatic gene mutations, and anticancer drug sensitivity were analyzed.