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Journal of Translational Medicine
Published in: Journal of Translational Medicine 1/2020

Open Access 01-12-2020 | Hepatocellular Carcinoma | Research

Development and validation of a novel immune-related prognostic model in hepatocellular carcinoma

Authors: Zheng Wang, Jie Zhu, Yongjuan Liu, Changhong Liu, Wenqi Wang, Fengzhe Chen, Lixian Ma

Published in: Journal of Translational Medicine | Issue 1/2020

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Abstract

Background

Growing evidence has suggested that immune-related genes play crucial roles in the development and progression of hepatocellular carcinoma (HCC). Nevertheless, the utility of immune-related genes for evaluating the prognosis of HCC patients are still lacking. The study aimed to explore gene signatures and prognostic values of immune-related genes in HCC.

Methods

We comprehensively integrated gene expression data acquired from 374 HCC and 50 normal tissues in The Cancer Genome Atlas (TCGA). Differentially expressed genes (DEGs) analysis and univariate Cox regression analysis were performed to identify DEGs that related to overall survival. An immune prognostic model was constructed using the Lasso and multivariate Cox regression analyses. Furthermore, Cox regression analysis was applied to identify independent prognostic factors in HCC. The correlation analysis between immune-related signature and immune cells infiltration were also investigated. Finally, the signature was validated in an external independent dataset.

Results

A total of 329 differentially expressed immune‐related genes were detected. 64 immune‐related genes were identified to be markedly related to overall survival in HCC patients using univariate Cox regression analysis. Then we established a TF-mediated network for exploring the regulatory mechanisms of these genes. Lasso and multivariate Cox regression analyses were applied to construct the immune-based prognostic model, which consisted of nine immune‐related genes. Further analysis indicated that this immune-related prognostic model could be an independent prognostic indicator after adjusting to other clinical factors. The relationships between the risk score model and immune cell infiltration suggested that the nine-gene signature could reflect the status of tumor immune microenvironment. The prognostic value of this nine-gene prognostic model was further successfully validated in an independent database.

Conclusions

Together, our study screened potential prognostic immune-related genes and established a novel immune-based prognostic model of HCC, which not only provides new potential prognostic biomarkers and therapeutic targets, but also deepens our understanding of tumor immune microenvironment status and lays a theoretical foundation for immunotherapy.
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Metadata
Title
Development and validation of a novel immune-related prognostic model in hepatocellular carcinoma
Authors
Zheng Wang
Jie Zhu
Yongjuan Liu
Changhong Liu
Wenqi Wang
Fengzhe Chen
Lixian Ma
Publication date
01-12-2020
Publisher
BioMed Central
Published in
Journal of Translational Medicine / Issue 1/2020
Electronic ISSN: 1479-5876
DOI
https://doi.org/10.1186/s12967-020-02255-6

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