Cargando…

CNPY4 is a potential promising prognostic-related biomarker and correlated with immune infiltrates in gliomas

Glioblastomas are classified into primary and secondary; primary glioblastomas develop rapidly and aggressively, whereas secondary glioblastomas are more common in grade II and III gliomas. Here, we aimed to demonstrate the role of the CNPY4 gene as a potential biomarker in immune infiltration in gl...

Descripción completa

Detalles Bibliográficos
Autores principales: Li, Jian-Wen, Huang, Qian-Rong, Mo, Li-Gen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9387968/
https://www.ncbi.nlm.nih.gov/pubmed/35984129
http://dx.doi.org/10.1097/MD.0000000000030044
_version_ 1784770119064354816
author Li, Jian-Wen
Huang, Qian-Rong
Mo, Li-Gen
author_facet Li, Jian-Wen
Huang, Qian-Rong
Mo, Li-Gen
author_sort Li, Jian-Wen
collection PubMed
description Glioblastomas are classified into primary and secondary; primary glioblastomas develop rapidly and aggressively, whereas secondary glioblastomas are more common in grade II and III gliomas. Here, we aimed to demonstrate the role of the CNPY4 gene as a potential biomarker in immune infiltration in gliomas. Based on gene expression profile interaction analysis (GEPIA), we studied the survival model of CNPY4 and evaluated its effect on patients with glioma. The glioma dataset was downloaded from The Cancer Genome Atlas (TCGA) database. Logistic regression was used to analyze the relationship between clinical data and CNPY4 expression. Univariate and multivariate Cox proportional-hazards models were used to compare clinical features and patient survival. The relationship between CNPY4 and immune infiltration in glioma was studied using GEPIA and CIBERSORT online tools. TCGA data were analyzed using gene set enrichment analysis (GSEA). Finally, TIMER was used to analyze the expression and immune infiltration of CNPY4 in glioma to study the cumulative survival rate. Univariate logistic regression analysis showed that increased CNPY4 expression was associated with tumor age, grade, IDH status, and 1p/19q codeletion. Multivariate analysis showed that that downregulation of CNPY4 expression was an independent and satisfactory prognostic factor. CNPY4 expression was correlated with the infiltration level of dendritic cells in glioblastoma. In contrast, in low-grade gliomas, the infiltration level of B cells, dendritic cells, macrophages, neutrophils, and CD4+ T cells was significantly correlated with CNPY4 expression. The GSEA results showed that CNPY4 played an immunoregulatory role in immune-related phenotypic pathways between lymphoid and nonlymphoid cells. The intestinal immune networks for IgA production, rabbit thyroid disease, primary immunodeficiencies, and cancer immunotherapy were enriched by PD-1 blockade. High CNPY4 expression is a biomarker of glioma prognosis and is associated with the immune invasion of glioma.
format Online
Article
Text
id pubmed-9387968
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Lippincott Williams & Wilkins
record_format MEDLINE/PubMed
spelling pubmed-93879682022-08-23 CNPY4 is a potential promising prognostic-related biomarker and correlated with immune infiltrates in gliomas Li, Jian-Wen Huang, Qian-Rong Mo, Li-Gen Medicine (Baltimore) Research Article Glioblastomas are classified into primary and secondary; primary glioblastomas develop rapidly and aggressively, whereas secondary glioblastomas are more common in grade II and III gliomas. Here, we aimed to demonstrate the role of the CNPY4 gene as a potential biomarker in immune infiltration in gliomas. Based on gene expression profile interaction analysis (GEPIA), we studied the survival model of CNPY4 and evaluated its effect on patients with glioma. The glioma dataset was downloaded from The Cancer Genome Atlas (TCGA) database. Logistic regression was used to analyze the relationship between clinical data and CNPY4 expression. Univariate and multivariate Cox proportional-hazards models were used to compare clinical features and patient survival. The relationship between CNPY4 and immune infiltration in glioma was studied using GEPIA and CIBERSORT online tools. TCGA data were analyzed using gene set enrichment analysis (GSEA). Finally, TIMER was used to analyze the expression and immune infiltration of CNPY4 in glioma to study the cumulative survival rate. Univariate logistic regression analysis showed that increased CNPY4 expression was associated with tumor age, grade, IDH status, and 1p/19q codeletion. Multivariate analysis showed that that downregulation of CNPY4 expression was an independent and satisfactory prognostic factor. CNPY4 expression was correlated with the infiltration level of dendritic cells in glioblastoma. In contrast, in low-grade gliomas, the infiltration level of B cells, dendritic cells, macrophages, neutrophils, and CD4+ T cells was significantly correlated with CNPY4 expression. The GSEA results showed that CNPY4 played an immunoregulatory role in immune-related phenotypic pathways between lymphoid and nonlymphoid cells. The intestinal immune networks for IgA production, rabbit thyroid disease, primary immunodeficiencies, and cancer immunotherapy were enriched by PD-1 blockade. High CNPY4 expression is a biomarker of glioma prognosis and is associated with the immune invasion of glioma. Lippincott Williams & Wilkins 2022-08-19 /pmc/articles/PMC9387968/ /pubmed/35984129 http://dx.doi.org/10.1097/MD.0000000000030044 Text en Copyright © 2022 the Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License 4.0 (CCBY) (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Li, Jian-Wen
Huang, Qian-Rong
Mo, Li-Gen
CNPY4 is a potential promising prognostic-related biomarker and correlated with immune infiltrates in gliomas
title CNPY4 is a potential promising prognostic-related biomarker and correlated with immune infiltrates in gliomas
title_full CNPY4 is a potential promising prognostic-related biomarker and correlated with immune infiltrates in gliomas
title_fullStr CNPY4 is a potential promising prognostic-related biomarker and correlated with immune infiltrates in gliomas
title_full_unstemmed CNPY4 is a potential promising prognostic-related biomarker and correlated with immune infiltrates in gliomas
title_short CNPY4 is a potential promising prognostic-related biomarker and correlated with immune infiltrates in gliomas
title_sort cnpy4 is a potential promising prognostic-related biomarker and correlated with immune infiltrates in gliomas
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9387968/
https://www.ncbi.nlm.nih.gov/pubmed/35984129
http://dx.doi.org/10.1097/MD.0000000000030044
work_keys_str_mv AT lijianwen cnpy4isapotentialpromisingprognosticrelatedbiomarkerandcorrelatedwithimmuneinfiltratesingliomas
AT huangqianrong cnpy4isapotentialpromisingprognosticrelatedbiomarkerandcorrelatedwithimmuneinfiltratesingliomas
AT moligen cnpy4isapotentialpromisingprognosticrelatedbiomarkerandcorrelatedwithimmuneinfiltratesingliomas