A Prognostic Gene Signature for Hepatocellular Carcinoma

被引：10

作者：

Chen, Rong ^{[1
]}

Zhao, Meng ^{[2
]}

An, Yanli ^{[3
,4
]}

Liu, Dongfang ^{[3
]}

Tang, Qiusha ^{[3
]}

Teng, Gaojun ^{[4
]}

机构：

[1] Zhongda Hosp, Dept Oncol, Nanjing, Peoples R China

[2] Zhengzhou Univ, Sch Basic Med, Zhengzhou, Peoples R China

[3] Southeast Univ, Med Sch, Nanjing, Peoples R China

[4] Southeast Univ, Dept Radiol, Med Sch, Nanjing, Peoples R China

来源：

FRONTIERS IN ONCOLOGY | 2022年 / 12卷

基金：

中国国家自然科学基金; 国家重点研发计划;

关键词：

hepatocellular carcinoma; bioinformatics analysis; immune-related prognostic genes; immune cells; gene signature; CELL CARCINOMA; RECEPTOR CCR3; EXPRESSION; MUTATIONS; TP53; S100A8; SURVIVAL; P53; IDENTIFICATION; SURVEILLANCE;

D O I：

10.3389/fonc.2022.841530

中图分类号：

R73 [肿瘤学];

学科分类号：

100214 ;

摘要：

Hepatocellular carcinoma is the third most common cause of cancer-related deaths in China and immune-based therapy can improve patient outcomes. In this study, we investigated the relationship between immunity-associated genes and hepatocellular carcinoma from the prognostic perspective. The data downloaded from The Cancer Genome Atlas Liver Hepatocellular Carcinoma (TCGA-LIHC) and the Gene Expression Omnibus (GEO) was screened for gene mutation frequency using the maftools package. Immunity-associated eight-gene signature with strong prognostic ability was constructed and proved as an independent predictor of the patient outcome in LIHC. Seven genes in the immune-related eight-gene signature were strongly associated with the infiltration of M0 macrophages, resting mast cells, and regulatory T cells. Our research may provide clinicians with a quantitative method to predict the prognosis of patients with liver cancer, which can assist in the selection of the optimal treatment plan.

引用

页数：11

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