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Identification and validation of autophagy-related prognostic signature for head and neck squamous cell carcinoma
BACKGROUND: Many studies have demonstrated that autophagy plays a significant role in regulating tumor growth and progression. However, the effect of autophagy-related genes (ARGs) on the prognosis have rarely been analyzed in head and neck squamous cell carcinoma (HNSCC). METHODS: We obtained diffe...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Neoplasia Press
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8080081/ https://www.ncbi.nlm.nih.gov/pubmed/33878525 http://dx.doi.org/10.1016/j.tranon.2021.101094 |
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author | Fang, Jiayu Yang, Zhiqiang Xie, Jing Li, Ziang Hu, Chang Yang, Minlan Zhou, Xuhong |
author_facet | Fang, Jiayu Yang, Zhiqiang Xie, Jing Li, Ziang Hu, Chang Yang, Minlan Zhou, Xuhong |
author_sort | Fang, Jiayu |
collection | PubMed |
description | BACKGROUND: Many studies have demonstrated that autophagy plays a significant role in regulating tumor growth and progression. However, the effect of autophagy-related genes (ARGs) on the prognosis have rarely been analyzed in head and neck squamous cell carcinoma (HNSCC). METHODS: We obtained differentially expressed ARGs from HNSCC mRNA data in The Cancer Genome Atlas (TCGA) database. And then we performed gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses to explore the autophagy-related biological functions. The overall survival (OS)-related and disease specific survival (DSS)-related ARGs were identified by univariate Cox regression analyses. With these genes, we established OS-related and DSS-related risk signature by LASSO regression method, respectively. We validated the reliability of the risk signature with receiver operating characteristic (ROC) analysis, Kaplan-Meier survival curves, clinical correlation analysis, and nomogram. Then we analyzed relationships between risk signature and immune cell infiltration. RESULTS: We established the prognostic signatures based on 14 ARGs for OS and 12 ARGs for DSS. The ROC curves, survival analysis, and nomogram validated the predictive accuracy of the models. Clinic correlation analysis showed that the risk group was closely related to Stage, pathological T stage, pathological N stage and human papilloma virus (HPV) subtype. Cox regression demonstrated that the risk score was an independent predictor for the prognosis of HNSCC patients. Furthermore, patients in low-risk score group exhibited higher immunescore and distinct immune cell infiltration than high-risk score group. And we further analysis revealed that the copy number alterations (CNAs) of ARGs-based signature affected the abundance of tumor-infiltrating immune cells. CONCLUSION: In this study, we identified novel autophagy-related signature for the prediction of OS and DSS in patients with HNSCC. Meanwhile, our study provides a novel sight to understand the role of autophagy and elucidate the important role of autophagy in tumor immune microenvironment (TIME) of HNSCC. |
format | Online Article Text |
id | pubmed-8080081 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Neoplasia Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-80800812021-05-13 Identification and validation of autophagy-related prognostic signature for head and neck squamous cell carcinoma Fang, Jiayu Yang, Zhiqiang Xie, Jing Li, Ziang Hu, Chang Yang, Minlan Zhou, Xuhong Transl Oncol Original Research BACKGROUND: Many studies have demonstrated that autophagy plays a significant role in regulating tumor growth and progression. However, the effect of autophagy-related genes (ARGs) on the prognosis have rarely been analyzed in head and neck squamous cell carcinoma (HNSCC). METHODS: We obtained differentially expressed ARGs from HNSCC mRNA data in The Cancer Genome Atlas (TCGA) database. And then we performed gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses to explore the autophagy-related biological functions. The overall survival (OS)-related and disease specific survival (DSS)-related ARGs were identified by univariate Cox regression analyses. With these genes, we established OS-related and DSS-related risk signature by LASSO regression method, respectively. We validated the reliability of the risk signature with receiver operating characteristic (ROC) analysis, Kaplan-Meier survival curves, clinical correlation analysis, and nomogram. Then we analyzed relationships between risk signature and immune cell infiltration. RESULTS: We established the prognostic signatures based on 14 ARGs for OS and 12 ARGs for DSS. The ROC curves, survival analysis, and nomogram validated the predictive accuracy of the models. Clinic correlation analysis showed that the risk group was closely related to Stage, pathological T stage, pathological N stage and human papilloma virus (HPV) subtype. Cox regression demonstrated that the risk score was an independent predictor for the prognosis of HNSCC patients. Furthermore, patients in low-risk score group exhibited higher immunescore and distinct immune cell infiltration than high-risk score group. And we further analysis revealed that the copy number alterations (CNAs) of ARGs-based signature affected the abundance of tumor-infiltrating immune cells. CONCLUSION: In this study, we identified novel autophagy-related signature for the prediction of OS and DSS in patients with HNSCC. Meanwhile, our study provides a novel sight to understand the role of autophagy and elucidate the important role of autophagy in tumor immune microenvironment (TIME) of HNSCC. Neoplasia Press 2021-04-18 /pmc/articles/PMC8080081/ /pubmed/33878525 http://dx.doi.org/10.1016/j.tranon.2021.101094 Text en © 2021 The Authors. Published by Elsevier Inc. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Original Research Fang, Jiayu Yang, Zhiqiang Xie, Jing Li, Ziang Hu, Chang Yang, Minlan Zhou, Xuhong Identification and validation of autophagy-related prognostic signature for head and neck squamous cell carcinoma |
title | Identification and validation of autophagy-related prognostic signature for head and neck squamous cell carcinoma |
title_full | Identification and validation of autophagy-related prognostic signature for head and neck squamous cell carcinoma |
title_fullStr | Identification and validation of autophagy-related prognostic signature for head and neck squamous cell carcinoma |
title_full_unstemmed | Identification and validation of autophagy-related prognostic signature for head and neck squamous cell carcinoma |
title_short | Identification and validation of autophagy-related prognostic signature for head and neck squamous cell carcinoma |
title_sort | identification and validation of autophagy-related prognostic signature for head and neck squamous cell carcinoma |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8080081/ https://www.ncbi.nlm.nih.gov/pubmed/33878525 http://dx.doi.org/10.1016/j.tranon.2021.101094 |
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