TY -的A2 -黄,道非盟- Lu, Haodong盟——刘,钱非盟- Chang,清AU -杜京盟——张Chunying AU - Chang,王盟,郭鑫盟——胡Yaojie盟——刘Shiguang AU - Tang Guoshuai AU - Chen Chunyou PY - 2021 DA - 2021/10/14 TI -建设和评价肿瘤突变Burden-Related对甲状腺癌预后签名SP - 1435827六世- 2021 AB -甲状腺癌是一种常见的癌症。其预后评估取决于临床病理的特点。然而,这种传统的方法存在不足。基于mRNA,单核苷酸变异(SNV)和甲状腺癌的临床资料癌症基因组图谱(TCGA)数据库,本研究统计分析突变签名这种疾病的患者。错义突变和变异SNV是最常见的分类和变异类型,分别。接下来,肿瘤突变(三甲)的样本计算负担。生存状态的高/低三甲组织进行了分析,以及三甲和临床病理特征之间的关系。结果显示,患者高三甲贫穷的生存状态,和三甲与临床病理的几个特性。通过分析在高/低三甲度组,381度。他们发现通过浓缩主要富集在肌肉组织发展分析。 Then, through Cox regression analysis, a 5-gene prognostic signature was established, which was then evaluated through survival curves and receiver operation characteristic (ROC) curves. The result showed that the signature was able to effectively predict patient’s prognosis and to serve as an independent prognostic risk factor. Finally, through Gene Set Enrichment Analysis (GSEA) on high/low-risk groups, DEGs were found to be mainly enriched in signaling pathways related to DNA repair. Overall, based on the TCGA-THCA dataset, we constructed a 5-gene prognostic signature through a trail of bioinformatics analysis. SN - 1748-670X UR - https://doi.org/10.1155/2021/1435827 DO - 10.1155/2021/1435827 JF - Computational and Mathematical Methods in Medicine PB - Hindawi KW - ER -