Identification of ferroptosis-related lncRNAs for predicting prognosis and immunotherapy response in non-small cell lung cancer

Lin Yuan, Shengguo Sun, Qinhu Zhang, Hai-Tao Li, Zhen Shen, Chunyu Hu, Xiaogang Zhao, Lan Ye, Chun-Hou Zheng, De-Shuang Huang

Abstract: Highlights•We identified the 9 of ferroptosis-related lncRNAs as the prognosis-related LncRNA signatures (PRLSigs) by integrating analysis of Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA) data, including LINC00304, LINC00968, LINC00312, LINC00853, LINC-PINT, SLC12A2-DT, DANCR, LINC00491 and LINC00310.•The results showed that the model has good predictive ability and robustness, and has significant correlations with immune infiltration and immune-related gene expression.•The Risk-Score model of 9 ferroptosis-related lncRNAs can be an excellent model to predict prognosis and immunotherapy response with NSCLC.