SYT16 is a prognostic biomarker and correlated with immune infiltrates in glioma: A study based on TCGA data.
Biomarkers, Tumor
/ metabolism
Brain Neoplasms
/ genetics
Computational Biology
Data Mining
Databases, Genetic
Gene Expression Profiling
Gene Expression Regulation, Neoplastic
Glioma
/ genetics
Humans
Leukocytes
/ metabolism
Lymphocytes, Tumor-Infiltrating
/ metabolism
Mononuclear Phagocyte System
/ metabolism
Neoplasm Proteins
/ genetics
Prognosis
Software
Support Vector Machine
Synaptotagmins
/ genetics
Tumor Microenvironment
/ genetics
Biomarker
Immune infiltrates
Lower-grade glioma
SYT16
Journal
International immunopharmacology
ISSN: 1878-1705
Titre abrégé: Int Immunopharmacol
Pays: Netherlands
ID NLM: 100965259
Informations de publication
Date de publication:
Jul 2020
Jul 2020
Historique:
received:
15
11
2019
revised:
16
03
2020
accepted:
05
04
2020
pubmed:
15
4
2020
medline:
26
2
2021
entrez:
15
4
2020
Statut:
ppublish
Résumé
Glioma is the most lethal primary brain tumor. Lower-grade glioma (LGG) is the crucial pathological type of Glioma. Immune-infiltration of the tumor microenvironment positively associated with overall survival in LGG. SYT16 is a gene has not been reported in cancer. We assess the role of SYT16 in LGG, via the publicly available TCGA database. Gene Expression Profiling Interactive Analysis (GEPIA) was used to analyze the expression of SYT16 in LGG. We evaluated the influence of SYT16 on survival of LGG patients by survival module. Then, datasets of LGG were downloaded from TCGA. The correlations between the clinical information and SYT16 expression were analyzed using logistic regression. Univariable survival and Multivariate Cox analysis was used to compare several clinical characteristics with survival. we also explore the correlation between SYT16 and cancer immune infiltrates using CIBERSORT and correlation module of GEPIA. Gene set enrichment analysis (GSEA) was performed using the TCGA dataset. In addition, we use TIMER to explore the collection of SYT16 Expression and Immune Infiltration Level in LGG and to explore cumulative survival in LGG. The univariate analysis using logistic regression, indicated that increased SYT16 expression significantly correlated with the tumor grade. Moreover, multivariate analysis revealed that the up-regulated SYT16 expression is an independent prognostic factor for good prognosis. Specifically, SYT16 expression level has significant negative correlations with infiltrating levels of B cell, CD4+ T cells, Macrophages, Neutrophils and DCs in LGG. In addition, GSEA identified ingle organism behavior, gated channel activity, cognition, transporter complex and ligand gated channel activity in Gene Ontology (GO) were differentially enriched in the high SYT16 expression phenotype pathway. Neuroactive ligand receptor interaction, calcium signaling pathway, long term potentiation, type II diabetes mellitus and long term depression were identified as differentially enriched pathway in Kyoto Encyclopedia of Genes and Genomes (KEGG). SYT16 is a Prognostic Biomarker and Correlated with Immune Infiltrates in LGG.
Sections du résumé
BACKGROUND
BACKGROUND
Glioma is the most lethal primary brain tumor. Lower-grade glioma (LGG) is the crucial pathological type of Glioma. Immune-infiltration of the tumor microenvironment positively associated with overall survival in LGG. SYT16 is a gene has not been reported in cancer. We assess the role of SYT16 in LGG, via the publicly available TCGA database.
METHODS
METHODS
Gene Expression Profiling Interactive Analysis (GEPIA) was used to analyze the expression of SYT16 in LGG. We evaluated the influence of SYT16 on survival of LGG patients by survival module. Then, datasets of LGG were downloaded from TCGA. The correlations between the clinical information and SYT16 expression were analyzed using logistic regression. Univariable survival and Multivariate Cox analysis was used to compare several clinical characteristics with survival. we also explore the correlation between SYT16 and cancer immune infiltrates using CIBERSORT and correlation module of GEPIA. Gene set enrichment analysis (GSEA) was performed using the TCGA dataset. In addition, we use TIMER to explore the collection of SYT16 Expression and Immune Infiltration Level in LGG and to explore cumulative survival in LGG.
RESULTS
RESULTS
The univariate analysis using logistic regression, indicated that increased SYT16 expression significantly correlated with the tumor grade. Moreover, multivariate analysis revealed that the up-regulated SYT16 expression is an independent prognostic factor for good prognosis. Specifically, SYT16 expression level has significant negative correlations with infiltrating levels of B cell, CD4+ T cells, Macrophages, Neutrophils and DCs in LGG. In addition, GSEA identified ingle organism behavior, gated channel activity, cognition, transporter complex and ligand gated channel activity in Gene Ontology (GO) were differentially enriched in the high SYT16 expression phenotype pathway. Neuroactive ligand receptor interaction, calcium signaling pathway, long term potentiation, type II diabetes mellitus and long term depression were identified as differentially enriched pathway in Kyoto Encyclopedia of Genes and Genomes (KEGG).
CONCLUSION
CONCLUSIONS
SYT16 is a Prognostic Biomarker and Correlated with Immune Infiltrates in LGG.
Identifiants
pubmed: 32289666
pii: S1567-5769(19)32622-0
doi: 10.1016/j.intimp.2020.106490
pii:
doi:
Substances chimiques
Biomarkers, Tumor
0
Neoplasm Proteins
0
Synaptotagmins
134193-27-4
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
106490Informations de copyright
Copyright © 2020 Elsevier B.V. All rights reserved.
Déclaration de conflit d'intérêts
Declaration of Competing Interest None.