SYT16 is a prognostic biomarker and correlated with immune infiltrates in glioma: A study based on TCGA data

• DOI: 10.1016/j.intimp.2020.106490
• Publication Date: 2020-04-11T21:55:58Z
• Authors: Jianfeng Chen; Ziheng Wang; Wei Wang; Shiqi Ren; Jinbiao Xue; Lin Zhong; Tao Jiang; Hualin Wei; Chenlin Zhang
• Keywords: 0301 basic medicine; Support Vector Machine; Brain Neoplasms; Gene Expression Profiling; Computational Biology; Glioma; Prognosis; Neoplasm Proteins; 3. Good health; Gene Expression Regulation, Neoplastic; Synaptotagmins; 03 medical and health sciences; Lymphocytes, Tumor-Infiltrating; Databases, Genetic; Biomarkers, Tumor; Leukocytes; Tumor Microenvironment; Data Mining; Humans; Mononuclear Phagocyte System; Software

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.