Zhang Hao, Sun Lin, Hu Xiao
Department of Hepatobiliary Pancreatic Surgery, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China.
Department of ICU, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China.
J Oncol. 2021 Sep 23;2021:6347592. doi: 10.1155/2021/6347592. eCollection 2021.
A large number of studies have found that macrophages M1 play an important role in the occurrence and development of tumors. The aim of our study is to explore the causes of differential infiltration of macrophages M1 in hepatocellular carcinoma from the perspective of transcriptome and establish a prognostic model of hepatocellular carcinoma. We downloaded gene expression and clinical data from the public database, estimated the content of macrophages M1 in different samples with R software, and found the different genes between high- and low-infiltration groups. Using differentially expressed genes, we constructed a model composed of 7 genes. The risk score of the model has a good ability to predict the prognosis, has a positive correlation with immune checkpoints, and is closely related to other immune cells and immune function. Our model shows good prognostic function and has wide application value.
大量研究发现，M1型巨噬细胞在肿瘤的发生发展中起重要作用。本研究的目的是从转录组角度探讨肝细胞癌中M1型巨噬细胞差异浸润的原因，并建立肝细胞癌的预后模型。我们从公共数据库下载基因表达和临床数据，用R软件估算不同样本中M1型巨噬细胞的含量，并找出高浸润组和低浸润组之间的差异基因。利用差异表达基因，我们构建了一个由7个基因组成的模型。该模型的风险评分具有良好的预后预测能力，与免疫检查点呈正相关，且与其他免疫细胞和免疫功能密切相关。我们的模型显示出良好的预后功能，具有广泛的应用价值。
