Cargando…

P2RY13 is a prognostic biomarker and associated with immune infiltrates in renal clear cell carcinoma: A comprehensive bioinformatic study

BACKGROUND AND AIMS: Clear cell renal cell carcinoma (ccRCC) is a common and aggressive form of cancer with a high incidence globally. This study aimed to investigate the role of P2RY13 in the progression of ccRCC and elucidate its mechanism of action. METHODS: Gene Expression Omnibus and The Cancer...

Descripción completa

Detalles Bibliográficos
Autores principales: Chu, Jie, Liu, Wei, Hu, Xinyue, Zhang, Huiling, Jiang, Jiudong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10691167/
https://www.ncbi.nlm.nih.gov/pubmed/38045624
http://dx.doi.org/10.1002/hsr2.1646
_version_ 1785152686421704704
author Chu, Jie
Liu, Wei
Hu, Xinyue
Zhang, Huiling
Jiang, Jiudong
author_facet Chu, Jie
Liu, Wei
Hu, Xinyue
Zhang, Huiling
Jiang, Jiudong
author_sort Chu, Jie
collection PubMed
description BACKGROUND AND AIMS: Clear cell renal cell carcinoma (ccRCC) is a common and aggressive form of cancer with a high incidence globally. This study aimed to investigate the role of P2RY13 in the progression of ccRCC and elucidate its mechanism of action. METHODS: Gene Expression Omnibus and The Cancer Genome Atlas databases were used to extract gene expression profiles of ccRCC. These profiles were annotated and visualized by Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) functional enrichment analyses, as well as Gene Set Enrichment Analysis (GSEA). The STRING database was used to establish a protein–protein interaction network and to analyze the functional similarity. The GEPIA2 database was used to predict survival associated with hub genes. Meanwhile, the TIMER2.0 database was used to assess immune cell infiltration and its link with the hub genes. Immunohistochemistry (IHC) was used to determine the difference between ccRCC and adjacent normal tissue. RESULTS: We identified 272 differentially expressed genes (DEGs). GO and KEGG analyses suggested that DEGs were primarily involved in lymphocyte activation, inflammatory response, immunological effector mechanism pathways. By cytohubba, the 20 highest‐scoring hub genes were screened to identify critical genes in the protein–protein interaction network linked with ccRCC. Resting dendritic cells, CD8 T cells, and activated mast cells all showed a significant positive correlation with these hub genes. Moreover, a higher immune score was associated with increased prognostic risk scores, which in turn correlated with a poorer prognosis. IHC revealed that P2RY13 was expressed at higher levels in ccRCC compared to para‐cancer tissues. CONCLUSION: Identifying the DEGs will aid in the understanding of the causes and molecular mechanisms involved in ccRCC. P2RY13 may play a pivotal role in the progression and prognosis of ccRCC, potentially driving carcinogenesis though immune system mechanisms.
format Online
Article
Text
id pubmed-10691167
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher John Wiley and Sons Inc.
record_format MEDLINE/PubMed
spelling pubmed-106911672023-12-02 P2RY13 is a prognostic biomarker and associated with immune infiltrates in renal clear cell carcinoma: A comprehensive bioinformatic study Chu, Jie Liu, Wei Hu, Xinyue Zhang, Huiling Jiang, Jiudong Health Sci Rep Methods Article BACKGROUND AND AIMS: Clear cell renal cell carcinoma (ccRCC) is a common and aggressive form of cancer with a high incidence globally. This study aimed to investigate the role of P2RY13 in the progression of ccRCC and elucidate its mechanism of action. METHODS: Gene Expression Omnibus and The Cancer Genome Atlas databases were used to extract gene expression profiles of ccRCC. These profiles were annotated and visualized by Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) functional enrichment analyses, as well as Gene Set Enrichment Analysis (GSEA). The STRING database was used to establish a protein–protein interaction network and to analyze the functional similarity. The GEPIA2 database was used to predict survival associated with hub genes. Meanwhile, the TIMER2.0 database was used to assess immune cell infiltration and its link with the hub genes. Immunohistochemistry (IHC) was used to determine the difference between ccRCC and adjacent normal tissue. RESULTS: We identified 272 differentially expressed genes (DEGs). GO and KEGG analyses suggested that DEGs were primarily involved in lymphocyte activation, inflammatory response, immunological effector mechanism pathways. By cytohubba, the 20 highest‐scoring hub genes were screened to identify critical genes in the protein–protein interaction network linked with ccRCC. Resting dendritic cells, CD8 T cells, and activated mast cells all showed a significant positive correlation with these hub genes. Moreover, a higher immune score was associated with increased prognostic risk scores, which in turn correlated with a poorer prognosis. IHC revealed that P2RY13 was expressed at higher levels in ccRCC compared to para‐cancer tissues. CONCLUSION: Identifying the DEGs will aid in the understanding of the causes and molecular mechanisms involved in ccRCC. P2RY13 may play a pivotal role in the progression and prognosis of ccRCC, potentially driving carcinogenesis though immune system mechanisms. John Wiley and Sons Inc. 2023-12-01 /pmc/articles/PMC10691167/ /pubmed/38045624 http://dx.doi.org/10.1002/hsr2.1646 Text en © 2023 The Authors. Health Science Reports published by Wiley Periodicals LLC. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Methods Article
Chu, Jie
Liu, Wei
Hu, Xinyue
Zhang, Huiling
Jiang, Jiudong
P2RY13 is a prognostic biomarker and associated with immune infiltrates in renal clear cell carcinoma: A comprehensive bioinformatic study
title P2RY13 is a prognostic biomarker and associated with immune infiltrates in renal clear cell carcinoma: A comprehensive bioinformatic study
title_full P2RY13 is a prognostic biomarker and associated with immune infiltrates in renal clear cell carcinoma: A comprehensive bioinformatic study
title_fullStr P2RY13 is a prognostic biomarker and associated with immune infiltrates in renal clear cell carcinoma: A comprehensive bioinformatic study
title_full_unstemmed P2RY13 is a prognostic biomarker and associated with immune infiltrates in renal clear cell carcinoma: A comprehensive bioinformatic study
title_short P2RY13 is a prognostic biomarker and associated with immune infiltrates in renal clear cell carcinoma: A comprehensive bioinformatic study
title_sort p2ry13 is a prognostic biomarker and associated with immune infiltrates in renal clear cell carcinoma: a comprehensive bioinformatic study
topic Methods Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10691167/
https://www.ncbi.nlm.nih.gov/pubmed/38045624
http://dx.doi.org/10.1002/hsr2.1646
work_keys_str_mv AT chujie p2ry13isaprognosticbiomarkerandassociatedwithimmuneinfiltratesinrenalclearcellcarcinomaacomprehensivebioinformaticstudy
AT liuwei p2ry13isaprognosticbiomarkerandassociatedwithimmuneinfiltratesinrenalclearcellcarcinomaacomprehensivebioinformaticstudy
AT huxinyue p2ry13isaprognosticbiomarkerandassociatedwithimmuneinfiltratesinrenalclearcellcarcinomaacomprehensivebioinformaticstudy
AT zhanghuiling p2ry13isaprognosticbiomarkerandassociatedwithimmuneinfiltratesinrenalclearcellcarcinomaacomprehensivebioinformaticstudy
AT jiangjiudong p2ry13isaprognosticbiomarkerandassociatedwithimmuneinfiltratesinrenalclearcellcarcinomaacomprehensivebioinformaticstudy