Department of Spine, Wuxi Hospital Affiliated to Nanjing University of Chinese Medicine, Wuxi 214000, PR China.
Department of Clinical Biobank, Affiliated Hospital of Nantong University, Nantong, Jiangsu 226001, PR China; Nantong University Xinling College, Nantong, Jiangsu 226001, PR China.
Int Immunopharmacol. 2020 Jul;84:106490. doi: 10.1016/j.intimp.2020.106490. Epub 2020 Apr 11.
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.
神经胶质瘤是最致命的原发性脑肿瘤。低级别神经胶质瘤（LGG）是神经胶质瘤的关键病理类型。肿瘤微环境中的免疫浸润与 LGG 的总生存期呈正相关。Syt16 是一种尚未在癌症中报道的基因。我们通过公共可用的 TCGA 数据库评估 Syt16 在 LGG 中的作用。
使用基因表达谱分析交互分析（GEPIA）分析 Syt16 在 LGG 中的表达。我们通过生存模块评估 Syt16 对 LGG 患者生存的影响。然后，从 TCGA 下载 LGG 数据集。使用逻辑回归分析临床信息与 Syt16 表达的相关性。单变量生存和多变量 Cox 分析用于比较几种临床特征与生存的关系。我们还使用 CIBERSORT 和 GEPIA 的相关模块探索 Syt16 与癌症免疫浸润之间的相关性。使用 TCGA 数据集进行基因集富集分析（GSEA）。此外，我们使用 TIMER 探索 LGG 中 Syt16 表达和免疫浸润水平的集合，并探索 LGG 中的累积生存。
使用逻辑回归的单变量分析表明，Syt16 表达增加与肿瘤分级显著相关。此外，多变量分析显示上调的 Syt16 表达是预后良好的独立预后因素。具体而言，Syt16 表达水平与 LGG 中 B 细胞、CD4+T 细胞、巨噬细胞、中性粒细胞和 DC 浸润水平呈显著负相关。此外，GSEA 确定了单一生物体行为、门控通道活性、认知、转运体复合物和配体门控通道活性在基因本体论（GO）中差异富集在高 Syt16 表达表型途径中。神经活性配体受体相互作用、钙信号通路、长时程增强、II 型糖尿病和长时程抑郁在京都基因与基因组百科全书（KEGG）中被确定为差异富集途径。
Syt16 是 LGG 的预后生物标志物，与免疫浸润相关。
