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A four-hypoxia-genes-based prognostic signature for oral squamous cell carcinoma
BACKGROUND: Oral squamous cell carcinoma (OSCC) is one of the most common maligancies of the head and neck. The prognosis was is significantly different among OSCC patients. This study aims to identify new biomarkers to establish a prognostic model to predict the survival of OSCC patients. METHODS:...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8094530/ https://www.ncbi.nlm.nih.gov/pubmed/33941139 http://dx.doi.org/10.1186/s12903-021-01587-z |
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author | Zhao, Chenguang Zhou, Yingrui Ma, Hongwei Wang, Jinhui Guo, Haoliang Liu, Hao |
author_facet | Zhao, Chenguang Zhou, Yingrui Ma, Hongwei Wang, Jinhui Guo, Haoliang Liu, Hao |
author_sort | Zhao, Chenguang |
collection | PubMed |
description | BACKGROUND: Oral squamous cell carcinoma (OSCC) is one of the most common maligancies of the head and neck. The prognosis was is significantly different among OSCC patients. This study aims to identify new biomarkers to establish a prognostic model to predict the survival of OSCC patients. METHODS: The mRNA expression and corresponding clinical information of OSCC patients were downloaded from The Cancer Genome Atlas and Gene Expression Omnibus. Additionally, a total of 26 hypoxia-related genes were also obtained from a previous study. Univariate Cox regression analysis and LASSO Cox regression analysis were performed to screen the optimal hypoxia-related genes which were associated with the prognosis of OSCC. to establish the predictive model (Risk Score) was established for estimating the patient's overall survival (OS). Multivariate Cox regression analysis was used to determine whether the Risk Score was an independent prognostic factor. Based on all the independent prognostic factors, nomogram was established to predict the OS probability of OSCC patients. The relative proportion of 22 immune cell types in each patient was evaluated by CIBERSORT software. RESULTS: We determined that a total of four hypoxia-related genes including ALDOA, P4HA1, PGK1 and VEGFA were significantly associated with the prognosis of OSCC patients. The nomogram established based on all the independent factors could reliably predict the long-term OS of OSCC patients. In addition, our resluts indicated that the inferior prognosis of OSCC patients with high Risk Score might be related to the immunosuppressive microenvironments. CONCLUSION: This study shows that high expression of hypoxia-related genes including ALDOA, P4HA1, PGK1 and VEGFA is associated with poor prognosis in OSCC patients, and they can be used as potential markers for predicting prognosis in OSCC patients. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12903-021-01587-z. |
format | Online Article Text |
id | pubmed-8094530 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-80945302021-05-04 A four-hypoxia-genes-based prognostic signature for oral squamous cell carcinoma Zhao, Chenguang Zhou, Yingrui Ma, Hongwei Wang, Jinhui Guo, Haoliang Liu, Hao BMC Oral Health Research BACKGROUND: Oral squamous cell carcinoma (OSCC) is one of the most common maligancies of the head and neck. The prognosis was is significantly different among OSCC patients. This study aims to identify new biomarkers to establish a prognostic model to predict the survival of OSCC patients. METHODS: The mRNA expression and corresponding clinical information of OSCC patients were downloaded from The Cancer Genome Atlas and Gene Expression Omnibus. Additionally, a total of 26 hypoxia-related genes were also obtained from a previous study. Univariate Cox regression analysis and LASSO Cox regression analysis were performed to screen the optimal hypoxia-related genes which were associated with the prognosis of OSCC. to establish the predictive model (Risk Score) was established for estimating the patient's overall survival (OS). Multivariate Cox regression analysis was used to determine whether the Risk Score was an independent prognostic factor. Based on all the independent prognostic factors, nomogram was established to predict the OS probability of OSCC patients. The relative proportion of 22 immune cell types in each patient was evaluated by CIBERSORT software. RESULTS: We determined that a total of four hypoxia-related genes including ALDOA, P4HA1, PGK1 and VEGFA were significantly associated with the prognosis of OSCC patients. The nomogram established based on all the independent factors could reliably predict the long-term OS of OSCC patients. In addition, our resluts indicated that the inferior prognosis of OSCC patients with high Risk Score might be related to the immunosuppressive microenvironments. CONCLUSION: This study shows that high expression of hypoxia-related genes including ALDOA, P4HA1, PGK1 and VEGFA is associated with poor prognosis in OSCC patients, and they can be used as potential markers for predicting prognosis in OSCC patients. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12903-021-01587-z. BioMed Central 2021-05-03 /pmc/articles/PMC8094530/ /pubmed/33941139 http://dx.doi.org/10.1186/s12903-021-01587-z Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Zhao, Chenguang Zhou, Yingrui Ma, Hongwei Wang, Jinhui Guo, Haoliang Liu, Hao A four-hypoxia-genes-based prognostic signature for oral squamous cell carcinoma |
title | A four-hypoxia-genes-based prognostic signature for oral squamous cell carcinoma |
title_full | A four-hypoxia-genes-based prognostic signature for oral squamous cell carcinoma |
title_fullStr | A four-hypoxia-genes-based prognostic signature for oral squamous cell carcinoma |
title_full_unstemmed | A four-hypoxia-genes-based prognostic signature for oral squamous cell carcinoma |
title_short | A four-hypoxia-genes-based prognostic signature for oral squamous cell carcinoma |
title_sort | four-hypoxia-genes-based prognostic signature for oral squamous cell carcinoma |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8094530/ https://www.ncbi.nlm.nih.gov/pubmed/33941139 http://dx.doi.org/10.1186/s12903-021-01587-z |
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