Literature DB >> 32355535

Combined signature of nine immune-related genes: a novel risk score for predicting prognosis in hepatocellular carcinoma.

Yunliang Tang1, Zhenguo Zeng2, Jiao Wang3, Guoyong Li4, Chao Huang5, Xiaoyang Dong1, Zhen Feng1.   

Abstract

Hepatocellular carcinoma (HCC) is one of the most common internal malignancies worldwide and is associated with a poor prognosis. There is an urgent need to identify diagnostic and prognostic biomarkers of HCC pathogenesis and progression. Accordingly, in this study, we analyzed differentially expressed immune-related genes (IRGs) from 329 patients with HCC from The Cancer Genome Atlas datasets. Functional analysis revealed that the IRGs had potential effects on tumor immune processes, such as inflammatory responses and growth factor activity. In the training group, we constructed a nine-IRG formula to predict prognosis in patients with HCC. To validate the protein and mRNA levels of these IRGs, we used the Human Protein Atlas database and quantitative PCR analysis and found that most protein expression levels matched the corresponding mRNA expression levels. Furthermore, we also validated the prognostic value of the new risk model in another independent cohort (n = 277) from a Gene Expression Omnibus dataset (GSE14520). Our data suggested that there was a significant association between our risk model and patient prognosis. Stratification analysis showed that the nine-IRG signature was significantly associated with overall survival in men. Finally, the signature was found to be correlated with various clinicopathological features. Intriguingly, the prognostic index based on the IRGs reflected infiltration by several types of immune cells. In summary, our data provided evidence that the nine-IRG signature could serve as an independent biomarker to predict prognosis in patients with HCC. AJTR
Copyright © 2020.

Entities:  

Keywords:  Hepatocellular carcinoma; gene expression omnibus; immune-related genes; prognostic signature; risk score; the cancer genome atlas

Year:  2020        PMID: 32355535

Source DB:  PubMed          Journal:  Am J Transl Res        ISSN: 1943-8141            Impact factor:   4.060


  5 in total

1.  Development and Validation of a Metabolic Gene-Based Prognostic Signature for Hepatocellular Carcinoma.

Authors:  Jialei Weng; Chenhao Zhou; Qiang Zhou; Wanyong Chen; Yirui Yin; Manar Atyah; Qiongzhu Dong; Yi Shi; Ning Ren
Journal:  J Hepatocell Carcinoma       Date:  2021-03-29

2.  Identification of Hub Genes Associated With Immune Infiltration and Predict Prognosis in Hepatocellular Carcinoma via Bioinformatics Approaches.

Authors:  Huaping Chen; Junrong Wu; Liuyi Lu; Zuojian Hu; Xi Li; Li Huang; Xiaolian Zhang; Mingxing Chen; Xue Qin; Li Xie
Journal:  Front Genet       Date:  2021-01-11       Impact factor: 4.599

3.  CDKN2A is a prognostic biomarker and correlated with immune infiltrates in hepatocellular carcinoma.

Authors:  Jun-Peng Luo; Jing Wang; Jin-Hua Huang
Journal:  Biosci Rep       Date:  2021-10-29       Impact factor: 3.840

4.  Operable hepatitis B virus-related hepatocellular carcinoma: gut microbiota profile of patients at different ages.

Authors:  Yu-Chong Peng; Jing-Xuan Xu; Chuan-Fa Zeng; Xin-Hua Zhao; Xue-Mei You; Ping-Ping Xu; Le-Qun Li; Lu-Nan Qi
Journal:  Ann Transl Med       Date:  2022-04

5.  Correlation of the prognostic value of FNDC4 in glioblastoma with macrophage polarization.

Authors:  Hongwu Li; Xiaofei Yan; Shaowu Ou
Journal:  Cancer Cell Int       Date:  2022-09-02       Impact factor: 6.429

  5 in total

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