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Prognostic value of CD247 in patients with head and neck squamous cell carcinoma: bioinformatic analysis of TCGA database
BACKGROUND: Head and neck squamous cell carcinoma (HNSC) is the 7th most common type of cancer in the world. Through the advantages of The Cancer Genome Atlas (TCGA) large-scale sequencing-based genome analysis technology, we can explore the potential molecular mechanisms that can improve the progno...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
AME Publishing Company
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9511182/ https://www.ncbi.nlm.nih.gov/pubmed/36172089 http://dx.doi.org/10.21037/atm-22-1143 |
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author | Lin, Peng Hu, Xiao-Li Hu, Yuan-Yuan Liu, Mai-Ying Wang, Qian-Yu Ding, Yan Ye, Jia-Cai |
author_facet | Lin, Peng Hu, Xiao-Li Hu, Yuan-Yuan Liu, Mai-Ying Wang, Qian-Yu Ding, Yan Ye, Jia-Cai |
author_sort | Lin, Peng |
collection | PubMed |
description | BACKGROUND: Head and neck squamous cell carcinoma (HNSC) is the 7th most common type of cancer in the world. Through the advantages of The Cancer Genome Atlas (TCGA) large-scale sequencing-based genome analysis technology, we can explore the potential molecular mechanisms that can improve the prognosis of HNSC patients. METHODS: The HNSC transcriptome and clinical data were downloaded from TCGA database. A univariate survival analysis and differential expression analysis were conducted to obtain the intersection gene set. A protein-protein interaction (PPI) analysis, modular analysis, and Gene Ontology (GO)/Kyoto Encyclopedia of Genes and Genomes (KEGG) functional enrichment analysis were then conducted to identify the hub genes. Clinical correlation analysis, univariate and multivariate Cox regression analyses were performed on the identified hub genes to determine the prognostic impact of hub genes on HNSC patients. RESULTS: In total, 601 intersecting gene sets were obtained. A modular analysis was conducted, and the highest scoring module was 19.304. Based on the GO/KEGG enrichment analysis results, CD247 molecule (CD247) was ultimately selected as the gene for this study. The CD247 were divided into a high-expression group and a low-expression group. The Kaplan-Meier survival curve analysis showed that there was a significant difference between the 2 groups (P<0.0001). The median survival time of the low-expression CD247 group was 30.9 months, and the 5-year survival rate was 36.4%. While the median survival time of the high-expression CD247 group was 68.8 months, and the 5-year survival rate was 52.3%. The clinical correlation analysis showed that CD247 was significantly negatively correlated with pathological tumor stage (pT) and pathological nodal extracapsular spread. Gene Set Enrichment Analysis (GSEA) showed that CD247 activating KEGG pathway hsa04650 and hsa04660. CONCLUSIONS: CD247 is an independent protective factor in the prognosis of HNSC patients. By activating the hsa04650 and hsa04660 pathways, the expression of interferon gamma, interleukin (IL)-2, and IL-10 is promoted, which in turn improves the tumor immune monitoring ability of the body, induces tumor cell apoptosis, and inhibits tumor cell growth. CD247 is a potential target for improving the clinical treatment effect of HNSC and the prognosis of patients. |
format | Online Article Text |
id | pubmed-9511182 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | AME Publishing Company |
record_format | MEDLINE/PubMed |
spelling | pubmed-95111822022-09-27 Prognostic value of CD247 in patients with head and neck squamous cell carcinoma: bioinformatic analysis of TCGA database Lin, Peng Hu, Xiao-Li Hu, Yuan-Yuan Liu, Mai-Ying Wang, Qian-Yu Ding, Yan Ye, Jia-Cai Ann Transl Med Original Article BACKGROUND: Head and neck squamous cell carcinoma (HNSC) is the 7th most common type of cancer in the world. Through the advantages of The Cancer Genome Atlas (TCGA) large-scale sequencing-based genome analysis technology, we can explore the potential molecular mechanisms that can improve the prognosis of HNSC patients. METHODS: The HNSC transcriptome and clinical data were downloaded from TCGA database. A univariate survival analysis and differential expression analysis were conducted to obtain the intersection gene set. A protein-protein interaction (PPI) analysis, modular analysis, and Gene Ontology (GO)/Kyoto Encyclopedia of Genes and Genomes (KEGG) functional enrichment analysis were then conducted to identify the hub genes. Clinical correlation analysis, univariate and multivariate Cox regression analyses were performed on the identified hub genes to determine the prognostic impact of hub genes on HNSC patients. RESULTS: In total, 601 intersecting gene sets were obtained. A modular analysis was conducted, and the highest scoring module was 19.304. Based on the GO/KEGG enrichment analysis results, CD247 molecule (CD247) was ultimately selected as the gene for this study. The CD247 were divided into a high-expression group and a low-expression group. The Kaplan-Meier survival curve analysis showed that there was a significant difference between the 2 groups (P<0.0001). The median survival time of the low-expression CD247 group was 30.9 months, and the 5-year survival rate was 36.4%. While the median survival time of the high-expression CD247 group was 68.8 months, and the 5-year survival rate was 52.3%. The clinical correlation analysis showed that CD247 was significantly negatively correlated with pathological tumor stage (pT) and pathological nodal extracapsular spread. Gene Set Enrichment Analysis (GSEA) showed that CD247 activating KEGG pathway hsa04650 and hsa04660. CONCLUSIONS: CD247 is an independent protective factor in the prognosis of HNSC patients. By activating the hsa04650 and hsa04660 pathways, the expression of interferon gamma, interleukin (IL)-2, and IL-10 is promoted, which in turn improves the tumor immune monitoring ability of the body, induces tumor cell apoptosis, and inhibits tumor cell growth. CD247 is a potential target for improving the clinical treatment effect of HNSC and the prognosis of patients. AME Publishing Company 2022-09 /pmc/articles/PMC9511182/ /pubmed/36172089 http://dx.doi.org/10.21037/atm-22-1143 Text en 2022 Annals of Translational Medicine. All rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) . |
spellingShingle | Original Article Lin, Peng Hu, Xiao-Li Hu, Yuan-Yuan Liu, Mai-Ying Wang, Qian-Yu Ding, Yan Ye, Jia-Cai Prognostic value of CD247 in patients with head and neck squamous cell carcinoma: bioinformatic analysis of TCGA database |
title | Prognostic value of CD247 in patients with head and neck squamous cell carcinoma: bioinformatic analysis of TCGA database |
title_full | Prognostic value of CD247 in patients with head and neck squamous cell carcinoma: bioinformatic analysis of TCGA database |
title_fullStr | Prognostic value of CD247 in patients with head and neck squamous cell carcinoma: bioinformatic analysis of TCGA database |
title_full_unstemmed | Prognostic value of CD247 in patients with head and neck squamous cell carcinoma: bioinformatic analysis of TCGA database |
title_short | Prognostic value of CD247 in patients with head and neck squamous cell carcinoma: bioinformatic analysis of TCGA database |
title_sort | prognostic value of cd247 in patients with head and neck squamous cell carcinoma: bioinformatic analysis of tcga database |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9511182/ https://www.ncbi.nlm.nih.gov/pubmed/36172089 http://dx.doi.org/10.21037/atm-22-1143 |
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