Li Wenli, Liu Jun, Zhao Hetong
Reproductive Medicine Center, Yue Bei People's Hospital, Shantou University Medical College, Shaoguan, China.
Department of Traditional Chinese Medicine, Changhai Hospital, Naval Military Medical University, Shanghai, China.
Front Genet. 2021 Apr 8;12:668871. doi: 10.3389/fgene.2021.668871. eCollection 2021.
Chaperonin containing TCP-1 (T-complex protein 1) (CCT) is a large molecular weight complex that contains nine subunits (TCP1, CCT2, CCT3, CCT4, CCT5, CCT6A, CCT6B, CCT7, CCT8). This study aimed to reveal key genes which encode CCT subunits for prognosis and establish prognostic gene signatures based on CCT subunit genes. The data was downloaded from The Cancer Genome Atlas, International Cancer Genome Consortium and Gene Expression Omnibus. CCT subunit gene expression levels between tumor and normal tissues were compared. Corresponding Kaplan-Meier analysis displayed a distinct separation in the overall survival of CCT subunit genes. Correlation analysis, protein-protein interaction network, Gene Ontology analysis, immune cells infiltration analysis, and transcription factor network were performed. A nomogram was constructed for the prediction of prognosis. Based on multivariate Cox regression analysis and shrinkage and selection method for linear regression model, a three-gene signature comprising CCT4, CCT6A, and CCT6B was constructed in the training set and significantly associated with prognosis as an independent prognostic factor. The prognostic value of the signature was then validated in the validation and testing set. Nomogram including the signature showed some clinical benefit for overall survival prediction. In all, we built a novel three-gene signature and nomogram from CCT subunit genes to predict the prognosis of hepatocellular carcinoma, which may support the medical decision for HCC therapy.
含TCP-1（T复合蛋白1）的伴侣蛋白（CCT）是一种大分子复合物，包含九个亚基（TCP1、CCT2、CCT3、CCT4、CCT5、CCT6A、CCT6B、CCT7、CCT8）。本研究旨在揭示编码CCT亚基的关键预后基因，并基于CCT亚基基因建立预后基因特征。数据从癌症基因组图谱、国际癌症基因组联盟和基因表达综合数据库下载。比较了肿瘤组织和正常组织之间CCT亚基基因的表达水平。相应的Kaplan-Meier分析显示CCT亚基基因的总生存期存在明显差异。进行了相关性分析、蛋白质-蛋白质相互作用网络、基因本体分析、免疫细胞浸润分析和转录因子网络分析。构建了一个列线图用于预测预后。基于多变量Cox回归分析以及线性回归模型的收缩和选择方法，在训练集中构建了一个由CCT4、CCT6A和CCT6B组成的三基因特征，作为独立的预后因素与预后显著相关。然后在验证集和测试集中验证了该特征的预后价值。包含该特征的列线图对总生存期预测显示出一定的临床益处。总之，我们从CCT亚基基因构建了一个新的三基因特征和列线图来预测肝细胞癌的预后，这可能为肝癌治疗的医学决策提供支持。
