Department of Operating Room, The First People’s Hospital of Linping District, Hangzhou, Zhejiang 311199, China.
Department of Anesthesiology, The First People’s Hospital of Linping District, Hangzhou, Zhejiang 311199, China.
Aging (Albany NY). 2023 Mar 30;15(7):2541-2553. doi: 10.18632/aging.204626.
As a type of cell apoptosis, anoikis is caused by cells detachment from the extracellular matrix and anoikis resistance is central to cancer metastasis. Here, SNCG was identified as hub anoikis-associated gene in GC and associated with prognosis of patients with GC. To screen the hub anoikis-associated genes connected to GC, the database of Cancer Genome Atlas (TCGA) was employed. For further validating these identified genes, the Gene Expression Omnibus (GEO) dataset was applied, and Western blotting and quantitative Real-Time PCR were carried out. To Identify hub genes, we conducted the analyses of univariate Cox regression, differential expression, and weighted gene co-expression network analysis (WGCNA). According to the identified hub genes, we constructed a model of prognosis. Following complex analysis, SNCG was finally identified as hub anoikis-associated gene in GC. Indeed, K-M and receiver operating characteristic analyses suggested that the expression patterns of SNCG can be used as prognostic factors for GC survival. The expression and survival trends of SNCG were verified in the validation cohort and experimental analyses. The analysis of immune cell infiltration showed that the infiltrated immune cells varied among patients with GC and gene SNCG. Furthermore, due to the significant association of the constructed risk signature with patient age and survival, this risk signature can be used to predict the prognosis of GC. We suggest that SNCG was served as hub anoikis-associated gene in GC. Meanwhile, SNCG may have prognostic potential for overall patient survival.
作为细胞凋亡的一种类型,失巢凋亡是由细胞从细胞外基质中脱离引起的,而失巢凋亡抗性是癌症转移的核心。在这里,SNCG 被鉴定为 GC 中与凋亡相关的枢纽基因,并与 GC 患者的预后相关。为了筛选与 GC 相关的枢纽失巢凋亡相关基因,我们使用了癌症基因组图谱(TCGA)数据库。为了进一步验证这些鉴定的基因,我们应用了基因表达综合数据库(GEO)数据集,并进行了 Western blot 和定量实时 PCR 分析。为了识别枢纽基因,我们进行了单变量 Cox 回归、差异表达和加权基因共表达网络分析(WGCNA)分析。根据鉴定的枢纽基因,我们构建了预后模型。经过复杂的分析,SNCG 最终被鉴定为 GC 中与凋亡相关的枢纽基因。事实上,K-M 和接收者操作特征分析表明,SNCG 的表达模式可以作为 GC 生存的预后因素。在验证队列和实验分析中验证了 SNCG 的表达和生存趋势。免疫细胞浸润分析表明,GC 患者之间浸润的免疫细胞存在差异,并且基因 SNCG 存在差异。此外,由于构建的风险特征与患者年龄和生存的显著相关性,该风险特征可用于预测 GC 的预后。我们认为 SNCG 是 GC 中与凋亡相关的枢纽基因。同时,SNCG 可能对整体患者生存具有预后潜力。