Qilin Li1, Jing Wang2, Xinyao Meng2, Weimin Chen1, Jiexiong Feng2, Jing Mao1. 1. Department of Stomatology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Wuhan, 430030, P. R. China. 2. Department of Pediatric Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, P. R. China.
Abstract
OBJECTIVE: The aims of this study was to identify prognostic autophagy-related genes and lncRNAs to predict clinical outcomes in head and neck squamous cell carcinoma (HNSCC). SUBJECTS AND METHODS: Differentially expressed autophagy-related genes and autophagy-related lncRNAs were identified by comparing pare-carcinoma and carcinoma samples of HNSCC. And then, we constructed an ARGs and an AR-lncRNAs signature risk score. Receiver operating characteristic (ROC) curve analyses were performed to assess the prognostic prediction capacity. Gene Set Enrichment Analysis (GSEA) and Gene Ontology (GO) function annotation were used to analysis the functions of ARGs and AR-lncRNAs. RESULTS: Six ARGs and thirteen AR-lncRNAs were identified in the ARGs and AR-lncRNAs signature and overall survival (OS) in the high-risk group significantly shorter than the low-risk group. ROC analysis showed the ARGs and AR-lncRNA signature has excellent ability of predicting the total OS of HNSCC patients. What's more, GSEA and GO function annotation proved that autophagy-related pathways are mainly enriched in the high-risk group. CONCLUSIONS: These findings indicated that our ARGs signature and AR-lncRNAs signature could be considered to predict the prognosis of patients with HNSCC, and provide a deep understanding of the biological mechanisms of autophagy in HNSCC. This article is protected by copyright. All rights reserved.
OBJECTIVE: The aims of this study was to identify prognostic autophagy-related genes and lncRNAs to predict clinical outcomes in head and neck squamous cell carcinoma (HNSCC). SUBJECTS AND METHODS: Differentially expressed autophagy-related genes and autophagy-related lncRNAs were identified by comparing pare-carcinoma and carcinoma samples of HNSCC. And then, we constructed an ARGs and an AR-lncRNAs signature risk score. Receiver operating characteristic (ROC) curve analyses were performed to assess the prognostic prediction capacity. Gene Set Enrichment Analysis (GSEA) and Gene Ontology (GO) function annotation were used to analysis the functions of ARGs and AR-lncRNAs. RESULTS: Six ARGs and thirteen AR-lncRNAs were identified in the ARGs and AR-lncRNAs signature and overall survival (OS) in the high-risk group significantly shorter than the low-risk group. ROC analysis showed the ARGs and AR-lncRNA signature has excellent ability of predicting the total OS of HNSCC patients. What's more, GSEA and GO function annotation proved that autophagy-related pathways are mainly enriched in the high-risk group. CONCLUSIONS: These findings indicated that our ARGs signature and AR-lncRNAs signature could be considered to predict the prognosis of patients with HNSCC, and provide a deep understanding of the biological mechanisms of autophagy in HNSCC. This article is protected by copyright. All rights reserved.
Entities:
Keywords:
Autophagy; HNSCC; long non-coding RNA; prognosis
Authors: José A Peña-Flores; Mercedes Bermúdez; Rosalío Ramos-Payán; Carlos E Villegas-Mercado; Uriel Soto-Barreras; Daniela Muela-Campos; Alexis Álvarez-Ramírez; Brenda Pérez-Aguirre; Ana D Larrinua-Pacheco; César López-Camarillo; Jorge A López-Gutiérrez; Julio Garnica-Palazuelos; Marvin E Estrada-Macías; Juan L Cota-Quintero; Andrés A Barraza-Gómez Journal: Front Oncol Date: 2022-08-01 Impact factor: 5.738