Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Liu, Baohong, Ma, Xueting, Ha, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
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
_version_ 1784642729750298624
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
work_keys_str_mv AT liubaohong identificationofpotentialprognosticbiomarkersassociatedwithmacrophagem2infiltrationingastriccancer
AT maxueting identificationofpotentialprognosticbiomarkersassociatedwithmacrophagem2infiltrationingastriccancer
AT hawei identificationofpotentialprognosticbiomarkersassociatedwithmacrophagem2infiltrationingastriccancer