ArticleBMC cancer2022
Identification of immune infiltration-related genes as prognostic indicators for hepatocellular carcinoma.
Article in BMC cancer, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed, 22 citations in OpenAlex.
- Construction and evaluation of a bladder cancer prognosis model based on super-enhancer-associated genes.Discover oncology · 2026Article
- Identification of hub genes associated with severe COPD via WGCNA and immune infiltration analysis.Scientific reports · 2025Article
- CD8 + T-Cell-Related Genes: Deciphering Their Role in the Pancreatic Adenocarcinoma TME and Their Effect on Prognosis.Digestive diseases and sciences · 2025Article
- CDT1 is a Potential Therapeutic Target for the Progression of NAFLD to HCC and the Exacerbation of Cancer.Current genomics · 2025Article
- Identification and validation of a novel predictive signature based on hepatocyte-specific genes in hepatocellular carcinoma by integrated analysis of single-cell and bulk RNA sequencing.BMC medical genomics · 2024Article
- Screening immune-related blood biomarkers for DKD-related HCC using machine learning.Frontiers in immunology · 2024Article
- Constructing a prognostic model for hepatocellular carcinoma based on bioinformatics analysis of inflammation-related genes.Frontiers in medicine · 2024Article
- Article
- Integrated genomic analysis defines molecular subgroups in dilated cardiomyopathy and identifies novel biomarkers based on machine learning methods.Frontiers in genetics · 2023Article
- Establishment and Clinical Application of the Nomogram Related to Risk or Prognosis of Hepatocellular Carcinoma: A Review.Journal of hepatocellular carcinoma · 2023Review
- Period2 is associated with immune cell infiltration and is a potential diagnostic and prognostic marker for hepatocellular carcinoma.Frontiers in molecular biosciences · 2023Article
- Targeting LRRC41 as a potential therapeutic approach for hepatocellular carcinoma.Frontiers in molecular biosciences · 2023Article
- A Novel Purine and Uric Metabolism Signature Predicting the Prognosis of Hepatocellular Carcinoma.Frontiers in genetics · 2022Article
- DHW-208, A Novel Phosphatidylinositol 3-Kinase (PI3K) Inhibitor, Has Anti-Hepatocellular Carcinoma Activity Through Promoting Apoptosis and Inhibiting Angiogenesis.Frontiers in oncology · 2022Article
- Identification and Validation of an m6A Modification of JAK-STAT Signaling Pathway-Related Prognostic Prediction Model in Gastric Cancer.Frontiers in genetics · 2022Article
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Hepatocellular carcinoma (HCC) has a high degree of malignancy and a poor prognosis. Immune infiltration-related genes have shown good predictive value in the prognosis of many solid tumours. In this study, we established and verified prognostic biomarkers consisting of immune infiltration-related genes in HCC. Gene expression data and clinical data were downloaded from The Cancer Genome Atlas (TCGA) database. Differential gene expression analysis, univariate Cox regression analysis and the least absolute shrinkage and selection operator (LASSO) regression algorithm were used to screen prognostic immune infiltration-related genes and to construct a risk scoring model. Kaplan-Meier (KM) survival plots and receiver operating characteristic (ROC) curve analysis were used to evaluate the prognostic performance of the risk scoring model in the TCGA-HCC cohort. In addition, a nomogram model with a risk score was established, and its predictive performance was verified by ROC analysis and calibration plot analysis in the TCGA-HCC cohort. Gene set enrichment analysis (GSEA) identified pathways and biological processes that may be enriched in the high-risk group. Finally, immune infiltration analysis was used to explore the characteristics of the tumour microenvironment related to the risk score. We identified 17 immune infiltration-related genes with prognostic value and constructed a risk scoring model. ROC analysis showed that the risk scoring model can accurately predict the 1-year, 3-year, and 5-year overall survival (OS) of HCC patients in the TCGA-HCC cohort. KM analysis showed that the OS of the high-risk group was significantly lower than that of the low-risk group (P < 0.001). The nomogram model effectively predicted the OS of HCC patients in the TCGA-HCC cohort. GSEA indicated that the immune infiltration-related genes may be involved in biological processes such as amino acid and lipid metabolism, matrisome and small molecule transportation, immune system regulation, and hepatitis virus infection. Immune infiltration analysis showed that the level of immune cell infiltration in the high-risk group was low, and the risk score was negatively correlated with infiltrating immune cells. Our prognostic model based on immune infiltration-related genes in HCC could help the prognostic assessment of HCC patients and provide potential targets for HCC inhibition.
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