Identification of the ferroptosis-related long non-coding RNAs signature to improve the prognosis prediction and immunotherapy response in patients with NSCLC

BMC Medical Genomics

Mingwei Chen¹  Meng Fan¹  Puyu Shi¹  Hui Ren²  Meng Li²  Yanpeng Zhang³ 

[1] Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Xi’an Jiao Tong University, No. 277, Yanta West Road, 710061, Xi’an, Shaanxi, China;Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Xi’an Jiao Tong University, No. 277, Yanta West Road, 710061, Xi’an, Shaanxi, China;Department of Talent Highland, The First Affiliated Hospital of Xi’an Jiao Tong University, No. 277, Yanta West Road, 710061, Xi’an, Shaanxi, China;Department of Thoracic Surgery, The First Affiliated Hospital of Xi’an Jiao Tong University, No. 277, Yanta West Road, 710061, Xi’an, Shaanxi, China;Department of Talent Highland, The First Affiliated Hospital of Xi’an Jiao Tong University, No. 277, Yanta West Road, 710061, Xi’an, Shaanxi, China;Department of Center for Translational Medicine, The First Affiliated Hospital of Xi’an Jiao Tong University, No. 277, Yanta West Road, 710061, Xi’an, Shaanxi, China;

关键词: Non-small cell lung cancer;    Ferroptosis;    Long non-coding RNAs;    Prognostic;    Signature;   

DOI  :  10.1186/s12920-021-01133-4

来源: Springer

【 摘 要 】

BackgroundNon-small cell lung cancer (NSCLC) is the most prevalent type of lung carcinoma with an unfavorable prognosis. Ferroptosis is involved in the development of multiple cancers. Whereas, the prognostic value of ferroptosis-related lncRNAs in NSCLC remains uncertain.MethodsGene expression profiles and clinical information of NSCLC were retrieved from the TCGA database. Ferroptosis-related genes (FRGs) were explored in the FerrDb database and previous studies, ferroptosis-related lncRNAs (FRGs-lncRNAs) were identified by the correlation analysis and the LncTarD database. The differentially expressed FRGs-lncRNAs were screened and FRGs-lncRNAs associated with the prognosis were explored by univariate Cox regression analysis and Kaplan–Meier survival analysis. Then, an FRGs-lncRNAs signature was constructed and verified by the Lasso-penalized Cox analysis. Finally, the potential correlation between risk score, immune checkpoint genes, and chemotherapeutic sensitivity was further investigated.Results129 lncRNAs with a potential regulatory relationship with 59 differentially expressed FRGs were found in NSCLC, of which 10 were related to the prognosis of NSCLC (P < 0.05). 9 prognostic-related FRGs-lncRNAs were used to construct the prognostic model and stratify NSCLC patients into high- and low-risk groups. A worse outcome was found in patients with high risk (P < 0.05). Moreover, a good predictive capacity of this signature in predicting NSCLC prognosis was confirmed. Additionally, 45 immune checkpoint genes and 4 chemotherapeutics drugs for NSCLC were identified to be correlated with the risk score.ConclusionA novel FRGs-lncRNAs signature was successfully constructed, which may contribute to improving the management strategies of NSCLC.

【 授权许可】

CC BY