Sun Hui, Wang Yan, Jing Hao-Yu, Yang Xin-Yu, Shi Xin-Xiu, Zhang Jia-Hui, Yu Yuan-Xiu, Gao Li, Wang Xin-Yue, Li Wan-Hong, Yu Lei
College of Pharmacy, Harbin Medical University, Harbin, China.
Pharmaceutical Experiment Teaching Center, College of Pharmacy, Harbin Medical University, Harbin, China.
Front Genet. 2021 May 4;12:629856. doi: 10.3389/fgene.2021.629856. eCollection 2021.
Chaperonin-containing TCP1 subunit (CCT) 6A is an oncogenic 6th subunit of the CCT family. Nevertheless, not much is documented regarding its function in colorectal cancer (COAD). This investigation seeks to explore the role of in the prognosis of COAD.
Sequencing data from the Gene Expression Omnibus (GEO) and Cancer Genome Atlas database (TCGA) were employed to analyze the expression of and its involvement in various regulatory networks behind COAD. Oncomine and Gene Expression Profiling Interactive Analysis (GEPIA) analyzed Levels of expression and survival rates, while GEPIA was used to uncover further the functional networks that involved . Database for Annotation, Visualization, and Integrated Discovery (DAVID) tools were used to interpret Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathways. Evaluation of the expression levels of in COAD samples was also verified via immunohistochemistry.
We found that the expression of is up-regulated in COAD. correlated with poor prognosis and decreased immune infiltrates such as CD4 T cells, B cells, and dendritic cells. is increased in COAD patients. is associated with several gene networks related to the DDX family and mismatch repair pathways.
Our data showed that data mining was able to uncover data regarding levels of and its involvement in genetic regulating pathways in COAD.
含伴侣蛋白的TCP1亚基(CCT)6A是CCT家族的致癌性第6亚基。然而,关于其在结直肠癌(COAD)中的功能,文献记载不多。本研究旨在探讨其在COAD预后中的作用。
利用来自基因表达综合数据库(GEO)和癌症基因组图谱数据库(TCGA)的测序数据,分析其表达情况及其在COAD背后各种调控网络中的参与情况。Oncomine和基因表达谱交互分析(GEPIA)分析表达水平和生存率,而GEPIA用于进一步揭示涉及的功能网络。利用注释、可视化和综合发现数据库(DAVID)工具解释基因本体论和京都基因与基因组百科全书通路。还通过免疫组织化学验证了COAD样本中的表达水平。
我们发现其在COAD中表达上调。与预后不良以及免疫浸润减少相关,如CD4 T细胞、B细胞和树突状细胞。在COAD患者中升高。与几个与DDX家族和错配修复途径相关的基因网络有关。
我们的数据表明,数据挖掘能够揭示有关其水平及其在COAD基因调控途径中的参与情况的数据。