Cargando…

Bioinformatic Analysis of the CXCR2 Ligands in Cancer Processes

Human CXCR2 has seven ligands, i.e., CXCL1, CXCL2, CXCL3, CXCL5, CXCL6, CXCL7, and CXCL8/IL-8—chemokines with nearly identical properties. However, no available study has compared the contribution of all CXCR2 ligands to cancer progression. That is why, in this study, we conducted a bioinformatic an...

Descripción completa

Detalles Bibliográficos
Autores principales: Korbecki, Jan, Bosiacki, Mateusz, Chlubek, Dariusz, Baranowska-Bosiacka, Irena
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10487711/
https://www.ncbi.nlm.nih.gov/pubmed/37686093
http://dx.doi.org/10.3390/ijms241713287
_version_ 1785103305446260736
author Korbecki, Jan
Bosiacki, Mateusz
Chlubek, Dariusz
Baranowska-Bosiacka, Irena
author_facet Korbecki, Jan
Bosiacki, Mateusz
Chlubek, Dariusz
Baranowska-Bosiacka, Irena
author_sort Korbecki, Jan
collection PubMed
description Human CXCR2 has seven ligands, i.e., CXCL1, CXCL2, CXCL3, CXCL5, CXCL6, CXCL7, and CXCL8/IL-8—chemokines with nearly identical properties. However, no available study has compared the contribution of all CXCR2 ligands to cancer progression. That is why, in this study, we conducted a bioinformatic analysis using the GEPIA, UALCAN, and TIMER2.0 databases to investigate the role of CXCR2 ligands in 31 different types of cancer, including glioblastoma, melanoma, and colon, esophageal, gastric, kidney, liver, lung, ovarian, pancreatic, and prostate cancer. We focused on the differences in the regulation of expression (using the Tfsitescan and miRDB databases) and analyzed mutation types in CXCR2 ligand genes in cancers (using the cBioPortal). The data showed that the effect of CXCR2 ligands on prognosis depends on the type of cancer. CXCR2 ligands were associated with EMT, angiogenesis, recruiting neutrophils to the tumor microenvironment, and the count of M1 macrophages. The regulation of the expression of each CXCR2 ligand was different and, thus, each analyzed chemokine may have a different function in cancer processes. Our findings suggest that each type of cancer has a unique pattern of CXCR2 ligand involvement in cancer progression, with each ligand having a unique regulation of expression.
format Online
Article
Text
id pubmed-10487711
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-104877112023-09-09 Bioinformatic Analysis of the CXCR2 Ligands in Cancer Processes Korbecki, Jan Bosiacki, Mateusz Chlubek, Dariusz Baranowska-Bosiacka, Irena Int J Mol Sci Article Human CXCR2 has seven ligands, i.e., CXCL1, CXCL2, CXCL3, CXCL5, CXCL6, CXCL7, and CXCL8/IL-8—chemokines with nearly identical properties. However, no available study has compared the contribution of all CXCR2 ligands to cancer progression. That is why, in this study, we conducted a bioinformatic analysis using the GEPIA, UALCAN, and TIMER2.0 databases to investigate the role of CXCR2 ligands in 31 different types of cancer, including glioblastoma, melanoma, and colon, esophageal, gastric, kidney, liver, lung, ovarian, pancreatic, and prostate cancer. We focused on the differences in the regulation of expression (using the Tfsitescan and miRDB databases) and analyzed mutation types in CXCR2 ligand genes in cancers (using the cBioPortal). The data showed that the effect of CXCR2 ligands on prognosis depends on the type of cancer. CXCR2 ligands were associated with EMT, angiogenesis, recruiting neutrophils to the tumor microenvironment, and the count of M1 macrophages. The regulation of the expression of each CXCR2 ligand was different and, thus, each analyzed chemokine may have a different function in cancer processes. Our findings suggest that each type of cancer has a unique pattern of CXCR2 ligand involvement in cancer progression, with each ligand having a unique regulation of expression. MDPI 2023-08-27 /pmc/articles/PMC10487711/ /pubmed/37686093 http://dx.doi.org/10.3390/ijms241713287 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Korbecki, Jan
Bosiacki, Mateusz
Chlubek, Dariusz
Baranowska-Bosiacka, Irena
Bioinformatic Analysis of the CXCR2 Ligands in Cancer Processes
title Bioinformatic Analysis of the CXCR2 Ligands in Cancer Processes
title_full Bioinformatic Analysis of the CXCR2 Ligands in Cancer Processes
title_fullStr Bioinformatic Analysis of the CXCR2 Ligands in Cancer Processes
title_full_unstemmed Bioinformatic Analysis of the CXCR2 Ligands in Cancer Processes
title_short Bioinformatic Analysis of the CXCR2 Ligands in Cancer Processes
title_sort bioinformatic analysis of the cxcr2 ligands in cancer processes
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10487711/
https://www.ncbi.nlm.nih.gov/pubmed/37686093
http://dx.doi.org/10.3390/ijms241713287
work_keys_str_mv AT korbeckijan bioinformaticanalysisofthecxcr2ligandsincancerprocesses
AT bosiackimateusz bioinformaticanalysisofthecxcr2ligandsincancerprocesses
AT chlubekdariusz bioinformaticanalysisofthecxcr2ligandsincancerprocesses
AT baranowskabosiackairena bioinformaticanalysisofthecxcr2ligandsincancerprocesses