ArticleWorld journal of gastroenterology2020
Construction of a risk score prognosis model based on hepatocellular carcinoma microenvironment.
Article in World journal of gastroenterology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.
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Who cites it
40 citing papers in PubMed, 71 citations in OpenAlex.
- Trial
- Recognition of immunogenomic signature and prognostic value of the subtype of epithelial-mesenchymal transition in breast cancer.Biochemistry and biophysics reports · 2026Article
- Machine learning models for predicting liver cancer: a real-world cohort study in China.Frontiers in cell and developmental biology · 2026Article
- CXCL3 promotes liver cancer progression by modulating the tumor microenvironment via the PI3K/AKT/mTOR pathway.PloS one · 2025Article
- Prognostic significance of exportin-5 in hepatocellular carcinoma.World journal of gastrointestinal oncology · 2024Article
- The chemical composition of Diwu YangGan capsule and its potential inhibitory roles on hepatocellular carcinoma by microarray-based transcriptomics.Journal of traditional and complementary medicine · 2024Article
- Article
- Comprehensive Analysis of Angiogenesis and Ferroptosis Genes for Predicting the Survival Outcome and Immunotherapy Response of Hepatocellular Carcinoma.Journal of hepatocellular carcinoma · 2024Article
- An anoikis-related gene signature predicts prognosis in patients with acute myeloid leukemia and immunotherapy.American journal of cancer research · 2024Review
- Construction of a Prognostic Model for Hepatocellular Carcinoma Based on Macrophage Polarization-Related Genes.Journal of hepatocellular carcinoma · 2024Article
- The Value of Chemokine and Chemokine Receptors in Diagnosis, Prognosis, and Immunotherapy of Hepatocellular Carcinoma.Cancer management and research · 2024Article
- Single-cell RNA-seq and bulk RNA-seq explore the prognostic value of exhausted T cells in hepatocellular carcinoma.IET systems biology · 2023Article
- Turning up the heat on non-immunoreactive tumors: autophagy influences the immune microenvironment in pancreatic cancer.BMC medical genomics · 2022Article
- Construction of a prognostic risk model based on apoptosis-related genes to assess tumor immune microenvironment and predict prognosis in hepatocellular carcinoma.BMC gastroenterology · 2022Article
- Early detection of hepatocellular carcinoma: roadmap for improvement.Expert review of anticancer therapy · 2022Article
- Identification of immune infiltration-related genes as prognostic indicators for hepatocellular carcinoma.BMC cancer · 2022Article
- Glycometabolism-related gene signature of hepatocellular carcinoma predicts prognosis and guides immunotherapy.Frontiers in cell and developmental biology · 2022Article
- Machine Learning Screens Potential Drugs Targeting a Prognostic Gene Signature Associated With Proliferation in Hepatocellular Carcinoma.Frontiers in genetics · 2022Article
- Immune Checkpoint Inhibitors for Advanced Hepatocellular Carcinoma: Monotherapies and Combined Therapies.Frontiers in oncology · 2022Review
- Integrated analysis of prognostic immune-related genes in the tumor microenvironment of ovarian cancer.Annals of translational medicine · 2022Article
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundHepatocellular carcinoma (HCC) is a common cancer with a poor prognosis. Previous studies revealed that the tumor microenvironment (TME) plays an important role in HCC progression, recurrence, and metastasis, leading to poor prognosis. However, the effects of genes involved in TME on the prognosis of HCC patients remain unclear. Here, we investigated the HCC microenvironment to identify prognostic genes for HCC.
aimTo identify a robust gene signature associated with the HCC microenvironment to improve prognosis prediction of HCC.
methodsWe computed the immune/stromal scores of HCC patients obtained from The Cancer Genome Atlas based on the ESTIMATE algorithm. Additionally, a risk score model was established based on Differentially Expressed Genes (DEGs) between high- and low-immune/stromal score patients.
resultsThe risk score model consisting of eight genes was constructed and validated in the HCC patients. The patients were divided into high- or low-risk groups. The genes (Disabled homolog 2, Musculin, C-X-C motif chemokine ligand 8, Galectin 3, B-cell-activating transcription factor, Killer cell lectin like receptor B1, Endoglin and adenomatosis polyposis coli tumor suppressor) involved in our risk score model were considered to be potential immunotherapy targets, and they may provide better performance in combination. Functional enrichment analysis showed that the immune response and T cell receptor signaling pathway represented the major function and pathway, respectively, related to the immune-related genes in the DEGs between high- and low-risk groups. The receiver operating characteristic (ROC) curve analysis confirmed the good potency of the risk score prognostic model. Moreover, we validated the risk score model using the International Cancer Genome Consortium and the Gene Expression Omnibus database. A nomogram was established to predict the overall survival of HCC patients.
conclusionThe risk score model and the nomogram will benefit HCC patients through personalized immunotherapy.
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