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Abstract

Ferroptosis-Related Long Non-Coding Ribonucleic Acid as Prognostic Biomarkers in Laryngeal Squamous Cell Carcinoma

Author(s): H. Wang, T. Wang*, X. Wei, C. Li, Hongxia Cui, Yue Li and Z. Sun
Department of Otolaryngology, Plastic Surgery Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shijingshan District, Beijing 100144, 1China Emergency General Hospital, Chaoyang District, Beijing 100028, China

Correspondence Address:
T. Wang, Department of Otolaryngology, Plastic Surgery Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shijingshan District, Beijing 100144, China, E-mail: wangtongent@126.com


The purpose of this study was to identify the ferroptosis-related long non-coding ribonucleic acid closely associated with the pathogenesis and prognosis of laryngeal squamous cell carcinoma through comprehensive bioinformatics analysis. In this study, 245 ferroptosis-related genes and 1 991 ferroptosis-related long noncoding ribonucleic acid were identified by co-expression network analysis. Then we obtained 67 differentially expressed ferroptosis-genes and 841 differentially expressed ferroptosis-related long non-coding ribonucleic acid. Gene ontology and Kyoto Encyclopedia of Genes and Genomes enrichment analysis of the 67 differentially expressed genes identified significant functions and pathways of LSCC, such as multicellular organismal homeostasis, iron ion binding, ferroptosis and microribonucleic acids in cancer. Multivariable Cox regression prognostic model was constructed for 11 prognostic ferroptosis-related long non-coding ribonucleic acid and 6 of them (LIM homeobox 1-divergent transcript, AL121899.1, LINC01063, LINC02454, LINC02154 and AC023043.3) were finally included in the prognostic model. Then, we performed survival analysis, risk analysis, independent prognostic analysis, co-expression network analysis and clinical correlation analysis to confirm the prognostic value and high correlation of the 6 prognostic ferroptosis-related long non-coding ribonucleic acid with clinical traits. Finally, we plotted the receiver operating characteristic curves and decision curve to verify the accuracy of the prognostic model for laryngeal squamous cell carcinoma. Our results will help clarify the molecular mechanism of laryngeal squamous cell carcinoma and provide new prognostic biomarkers for clinical diagnosis and treatment.

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