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Bioinformatics analysis identifies biomarkers associated with poor prognosis in diffuse-type gastric cancer
Gastric cancer (GC) is one of the most common malignancies of the digestive system. In diffuse-type GC, differentiation is relatively poor, and the probability of distant metastasis and lymph node metastasis is high, resulting in poor clinical prognosis. The purpose of this study was to identify spe...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
D.A. Spandidos
2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7809905/ https://www.ncbi.nlm.nih.gov/pubmed/33495829 http://dx.doi.org/10.3892/mmr.2021.11832 |
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author | Li, Sheng Yu, Chao Cheng, Yuanguang Du, Fangchao Wen, Gang |
author_facet | Li, Sheng Yu, Chao Cheng, Yuanguang Du, Fangchao Wen, Gang |
author_sort | Li, Sheng |
collection | PubMed |
description | Gastric cancer (GC) is one of the most common malignancies of the digestive system. In diffuse-type GC, differentiation is relatively poor, and the probability of distant metastasis and lymph node metastasis is high, resulting in poor clinical prognosis. The purpose of this study was to identify specific genes that can predict the prognosis of different types of GC. Differentially expressed genes (DEGs) were screened in the GSE62254 dataset obtained from the Gene Expression Omnibus using the ‘limma’ and ‘survival’ R packages. A total of 355 survival-related DEGs were selected according to specific screening criteria, of which 293 were associated with diffuse-type GC and 62 with intestinal-type GC. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes were used for functional annotation and pathway enrichment analysis of DEGs. Using protein-protein interaction networks and Cytoscape software, three hub genes were identified in diffuse-type GC-associated DEGs, including angiotensinogen (AGT), C-X-C motif chemokine ligand 12 (CXCL12) and adrenoceptor β2 (ADRB2). Immunohistochemical staining and reverse transcription-quantitative PCR revealed that the expression levels of the three genes in diffuse-type GC samples were upregulated compared with in intestinal-type GC samples. Kaplan Meier analysis indicated that a higher expression levels of these three hub genes were associated with a poorer prognosis of diffuse-type GC. In summary, the present findings suggested that AGT, CXCL12 and ADRB2 might contribute to the progression of diffuse-type GC, and could serve as potential biomarkers or therapeutic targets for this disease. |
format | Online Article Text |
id | pubmed-7809905 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | D.A. Spandidos |
record_format | MEDLINE/PubMed |
spelling | pubmed-78099052021-01-21 Bioinformatics analysis identifies biomarkers associated with poor prognosis in diffuse-type gastric cancer Li, Sheng Yu, Chao Cheng, Yuanguang Du, Fangchao Wen, Gang Mol Med Rep Articles Gastric cancer (GC) is one of the most common malignancies of the digestive system. In diffuse-type GC, differentiation is relatively poor, and the probability of distant metastasis and lymph node metastasis is high, resulting in poor clinical prognosis. The purpose of this study was to identify specific genes that can predict the prognosis of different types of GC. Differentially expressed genes (DEGs) were screened in the GSE62254 dataset obtained from the Gene Expression Omnibus using the ‘limma’ and ‘survival’ R packages. A total of 355 survival-related DEGs were selected according to specific screening criteria, of which 293 were associated with diffuse-type GC and 62 with intestinal-type GC. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes were used for functional annotation and pathway enrichment analysis of DEGs. Using protein-protein interaction networks and Cytoscape software, three hub genes were identified in diffuse-type GC-associated DEGs, including angiotensinogen (AGT), C-X-C motif chemokine ligand 12 (CXCL12) and adrenoceptor β2 (ADRB2). Immunohistochemical staining and reverse transcription-quantitative PCR revealed that the expression levels of the three genes in diffuse-type GC samples were upregulated compared with in intestinal-type GC samples. Kaplan Meier analysis indicated that a higher expression levels of these three hub genes were associated with a poorer prognosis of diffuse-type GC. In summary, the present findings suggested that AGT, CXCL12 and ADRB2 might contribute to the progression of diffuse-type GC, and could serve as potential biomarkers or therapeutic targets for this disease. D.A. Spandidos 2021-03 2021-01-07 /pmc/articles/PMC7809905/ /pubmed/33495829 http://dx.doi.org/10.3892/mmr.2021.11832 Text en Copyright: © Li et al. This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made. |
spellingShingle | Articles Li, Sheng Yu, Chao Cheng, Yuanguang Du, Fangchao Wen, Gang Bioinformatics analysis identifies biomarkers associated with poor prognosis in diffuse-type gastric cancer |
title | Bioinformatics analysis identifies biomarkers associated with poor prognosis in diffuse-type gastric cancer |
title_full | Bioinformatics analysis identifies biomarkers associated with poor prognosis in diffuse-type gastric cancer |
title_fullStr | Bioinformatics analysis identifies biomarkers associated with poor prognosis in diffuse-type gastric cancer |
title_full_unstemmed | Bioinformatics analysis identifies biomarkers associated with poor prognosis in diffuse-type gastric cancer |
title_short | Bioinformatics analysis identifies biomarkers associated with poor prognosis in diffuse-type gastric cancer |
title_sort | bioinformatics analysis identifies biomarkers associated with poor prognosis in diffuse-type gastric cancer |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7809905/ https://www.ncbi.nlm.nih.gov/pubmed/33495829 http://dx.doi.org/10.3892/mmr.2021.11832 |
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