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Identification of Potential Prognostic Biomarkers Associated With Macrophage M2 Infiltration in Gastric Cancer
Gastric cancer is a common cancer afflicting people worldwide. Although incremental progress has been achieved in gastric cancer research, the molecular mechanisms underlying remain unclear. In this study, we conducted bioinformatics methods to identify prognostic marker genes associated with gastri...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8802722/ https://www.ncbi.nlm.nih.gov/pubmed/35111208 http://dx.doi.org/10.3389/fgene.2021.827444 |
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author | Liu, Baohong Ma, Xueting Ha, Wei |
author_facet | Liu, Baohong Ma, Xueting Ha, Wei |
author_sort | Liu, Baohong |
collection | PubMed |
description | Gastric cancer is a common cancer afflicting people worldwide. Although incremental progress has been achieved in gastric cancer research, the molecular mechanisms underlying remain unclear. In this study, we conducted bioinformatics methods to identify prognostic marker genes associated with gastric cancer progression. Three hundred and twenty-seven overlapping DEGs were identified from three GEO microarray datasets. Functional enrichment analysis revealed that these DEGs are involved in extracellular matrix organization, tissue development, extracellular matrix–receptor interaction, ECM-receptor interaction, PI3K-Akt signaling pathway, focal adhesion, and protein digestion and absorption. A protein–protein interaction network (PPI) was constructed for the DEGs in which 25 hub genes were obtained. Furthermore, the turquoise module was identified to be significantly positively coexpressed with macrophage M2 infiltration by weighted gene coexpression network analysis (WGCNA). Hub genes of COL1A1, COL4A1, COL12A1, and PDGFRB were overlapped in both PPI hub gene list and the turquoise module with significant association with the prognosis in gastric cancer. Moreover, functional analysis demonstrated that these hub genes play pivotal roles in cancer cell proliferation and invasion. The investigation of the gene markers can help deepen our understanding of the molecular mechanisms of gastric cancer. In addition, these genes may serve as potential prognostic biomarkers for gastric cancer diagnosis. |
format | Online Article Text |
id | pubmed-8802722 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-88027222022-02-01 Identification of Potential Prognostic Biomarkers Associated With Macrophage M2 Infiltration in Gastric Cancer Liu, Baohong Ma, Xueting Ha, Wei Front Genet Genetics Gastric cancer is a common cancer afflicting people worldwide. Although incremental progress has been achieved in gastric cancer research, the molecular mechanisms underlying remain unclear. In this study, we conducted bioinformatics methods to identify prognostic marker genes associated with gastric cancer progression. Three hundred and twenty-seven overlapping DEGs were identified from three GEO microarray datasets. Functional enrichment analysis revealed that these DEGs are involved in extracellular matrix organization, tissue development, extracellular matrix–receptor interaction, ECM-receptor interaction, PI3K-Akt signaling pathway, focal adhesion, and protein digestion and absorption. A protein–protein interaction network (PPI) was constructed for the DEGs in which 25 hub genes were obtained. Furthermore, the turquoise module was identified to be significantly positively coexpressed with macrophage M2 infiltration by weighted gene coexpression network analysis (WGCNA). Hub genes of COL1A1, COL4A1, COL12A1, and PDGFRB were overlapped in both PPI hub gene list and the turquoise module with significant association with the prognosis in gastric cancer. Moreover, functional analysis demonstrated that these hub genes play pivotal roles in cancer cell proliferation and invasion. The investigation of the gene markers can help deepen our understanding of the molecular mechanisms of gastric cancer. In addition, these genes may serve as potential prognostic biomarkers for gastric cancer diagnosis. Frontiers Media S.A. 2022-01-17 /pmc/articles/PMC8802722/ /pubmed/35111208 http://dx.doi.org/10.3389/fgene.2021.827444 Text en Copyright © 2022 Liu, Ma and Ha. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Genetics Liu, Baohong Ma, Xueting Ha, Wei Identification of Potential Prognostic Biomarkers Associated With Macrophage M2 Infiltration in Gastric Cancer |
title | Identification of Potential Prognostic Biomarkers Associated With Macrophage M2 Infiltration in Gastric Cancer |
title_full | Identification of Potential Prognostic Biomarkers Associated With Macrophage M2 Infiltration in Gastric Cancer |
title_fullStr | Identification of Potential Prognostic Biomarkers Associated With Macrophage M2 Infiltration in Gastric Cancer |
title_full_unstemmed | Identification of Potential Prognostic Biomarkers Associated With Macrophage M2 Infiltration in Gastric Cancer |
title_short | Identification of Potential Prognostic Biomarkers Associated With Macrophage M2 Infiltration in Gastric Cancer |
title_sort | identification of potential prognostic biomarkers associated with macrophage m2 infiltration in gastric cancer |
topic | Genetics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8802722/ https://www.ncbi.nlm.nih.gov/pubmed/35111208 http://dx.doi.org/10.3389/fgene.2021.827444 |
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