biostudies-literatureUnknown2021Liu J<h4>Background</h4>Hepatocellular carcinoma (HCC) is the leading liver cancer with special immune microenvironment, which played vital roles in tumor relapse and poor drug responses. In this study, we aimed to explore the prognostic immune signatures in HCC and tried to construct an immune-risk model for patient evaluation.<h4>Methods</h4>RNA sequencing profiles of HCC patients were collected from the cancer genome Atlas (TCGA), international cancer genome consortium (ICGC), and gene expression omnibus (GEO) databases (GSE14520). Differentially expressed immune genes, derived from ImmPort database and MSigDB signaling pathway lists, between tumor and normal tissues were analyzed with Limma package in <i>R</i> environment. Univariate Cox regression was performed to find survival-related immJournal of oncology6676537https://www.ebi.ac.uk/biostudies/studies/S-EPMC7994091biostudies-literatureMachine Learning for Building Immune Genetic Model in Hepatocellular Carcinoma Patients.PMC7994091Li WLiu JChen ZfalseMachine Learning for Building Immune Genetic Model in Hepatocellular Carcinoma Patients.<h4>Background</h4>Hepatocellular carcinoma (HCC) is the leading liver cancer with special immune microenvironment, which played vital roles in tumor relapse and poor drug responses. In this study, we aimed to explore the prognostic immune signatures in HCC and tried to construct an immune-risk model for patient evaluation.<h4>Methods</h4>RNA sequencing profiles of HCC patients were collected from the cancer genome Atlas (TCGA), international cancer genome consortium (ICGC), and gene expression omnibus (GEO) databases (GSE14520). Differentially expressed immune genes, derived from ImmPort database and MSigDB signaling pathway lists, between tumor and normal tissues were analyzed with Limma package in <i>R</i> environment. Univariate Cox regression was performed to find survival-related imm2021-01-01T00:00:00Z20212026-04-22T03:20:52.896Z2022-02-09T12:51:08.318ZS-EPMC79940913379096910.1155/2021/6676537