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Identification of SCN7A as the key gene associated with tumor mutation burden in gastric cancer
OBJECTIVE: Previous studies have shown that tumor mutation burden (TMB) in cancer is associated with prognosis. The purpose of this study is to identify TMB related genes in gastric cancer (GC) and to explore their prognostic value. METHODS: In our research, weighted gene coexpression network analys...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8817579/ https://www.ncbi.nlm.nih.gov/pubmed/35123417 http://dx.doi.org/10.1186/s12876-022-02112-4 |
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author | Li, Wenjie Zhou, Kezhi Li, Mengting Hu, Qian Wei, Wanhui Liu, Lan Zhao, Qiu |
author_facet | Li, Wenjie Zhou, Kezhi Li, Mengting Hu, Qian Wei, Wanhui Liu, Lan Zhao, Qiu |
author_sort | Li, Wenjie |
collection | PubMed |
description | OBJECTIVE: Previous studies have shown that tumor mutation burden (TMB) in cancer is associated with prognosis. The purpose of this study is to identify TMB related genes in gastric cancer (GC) and to explore their prognostic value. METHODS: In our research, weighted gene coexpression network analysis (WGCNA) algorithm was used to cluster the most relevant TMB modules in the Cancer Genome Atlas (TCGA) database. Limma package was used to screen the differentially expressed genes, and the intersection was identified as hub genes. We used gene expression profiling interactive analysis (GEPIA) and survival algorithm to analyze the clinical characteristics and prognosis of hub genes in tumor and normal tissue samples of TCGA and Gene Expression Omnibus cohort respectively. We also used CIBERSORT algorithm to calculate the proportion of 22 tumor immune cells in the high and low expression subgroups of hub genes. In addition, we used gene set enrichment analysis (GSEA) to predict the biological function of hub genes. P < 0.05 was considered statistically significant. RESULTS: In the TCGA cohort, TMB was significantly correlated with the clinical features of GC (P < 0.05). Through WGCNA and differential gene analysis, we identified SCN7A as the hub gene (P < 0.05, |log2fc|> 1, and mm > 0.8). We found that the expression of SCN7A in tumor tissues was lower than that in normal tissues, and its expression level was also related to overall survival rate and tumor stage. GSEA analysis showed that SCN7A low expression group was enriched with "DNA replication", "base extension repair" and "proteasome" gene sets in GC. In addition, we found that there were significant differences in the infiltration degree of 7 kinds of immune cells between the two groups. CONCLUSION: TMB can indicate the prognosis of gastric cancer. SCN7A is a hub gene associated with TMB, and its low expression is associated with better prognosis. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12876-022-02112-4. |
format | Online Article Text |
id | pubmed-8817579 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-88175792022-02-07 Identification of SCN7A as the key gene associated with tumor mutation burden in gastric cancer Li, Wenjie Zhou, Kezhi Li, Mengting Hu, Qian Wei, Wanhui Liu, Lan Zhao, Qiu BMC Gastroenterol Research OBJECTIVE: Previous studies have shown that tumor mutation burden (TMB) in cancer is associated with prognosis. The purpose of this study is to identify TMB related genes in gastric cancer (GC) and to explore their prognostic value. METHODS: In our research, weighted gene coexpression network analysis (WGCNA) algorithm was used to cluster the most relevant TMB modules in the Cancer Genome Atlas (TCGA) database. Limma package was used to screen the differentially expressed genes, and the intersection was identified as hub genes. We used gene expression profiling interactive analysis (GEPIA) and survival algorithm to analyze the clinical characteristics and prognosis of hub genes in tumor and normal tissue samples of TCGA and Gene Expression Omnibus cohort respectively. We also used CIBERSORT algorithm to calculate the proportion of 22 tumor immune cells in the high and low expression subgroups of hub genes. In addition, we used gene set enrichment analysis (GSEA) to predict the biological function of hub genes. P < 0.05 was considered statistically significant. RESULTS: In the TCGA cohort, TMB was significantly correlated with the clinical features of GC (P < 0.05). Through WGCNA and differential gene analysis, we identified SCN7A as the hub gene (P < 0.05, |log2fc|> 1, and mm > 0.8). We found that the expression of SCN7A in tumor tissues was lower than that in normal tissues, and its expression level was also related to overall survival rate and tumor stage. GSEA analysis showed that SCN7A low expression group was enriched with "DNA replication", "base extension repair" and "proteasome" gene sets in GC. In addition, we found that there were significant differences in the infiltration degree of 7 kinds of immune cells between the two groups. CONCLUSION: TMB can indicate the prognosis of gastric cancer. SCN7A is a hub gene associated with TMB, and its low expression is associated with better prognosis. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12876-022-02112-4. BioMed Central 2022-02-05 /pmc/articles/PMC8817579/ /pubmed/35123417 http://dx.doi.org/10.1186/s12876-022-02112-4 Text en © The Author(s) 2022 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 Li, Wenjie Zhou, Kezhi Li, Mengting Hu, Qian Wei, Wanhui Liu, Lan Zhao, Qiu Identification of SCN7A as the key gene associated with tumor mutation burden in gastric cancer |
title | Identification of SCN7A as the key gene associated with tumor mutation burden in gastric cancer |
title_full | Identification of SCN7A as the key gene associated with tumor mutation burden in gastric cancer |
title_fullStr | Identification of SCN7A as the key gene associated with tumor mutation burden in gastric cancer |
title_full_unstemmed | Identification of SCN7A as the key gene associated with tumor mutation burden in gastric cancer |
title_short | Identification of SCN7A as the key gene associated with tumor mutation burden in gastric cancer |
title_sort | identification of scn7a as the key gene associated with tumor mutation burden in gastric cancer |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8817579/ https://www.ncbi.nlm.nih.gov/pubmed/35123417 http://dx.doi.org/10.1186/s12876-022-02112-4 |
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