ArticleAging2018
A new risk score based on twelve hepatocellular carcinoma-specific gene expression can predict the patients' prognosis.
Article in Aging, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed.
- A monocyte-derived blood transcriptomic signature reveals systemic immunosuppression in HCC and partial reversal following curative therapy.Frontiers in immunology · 2025Article
- Integration of single-cell and RNA-seq data to explore the role of focal adhesion-related genes in osteoporosis.Journal of cellular and molecular medicine · 2024Article
- Signature construction and molecular subtype identification based on liver-specific genes for prediction of prognosis, immune activity, and anti-cancer drug sensitivity in hepatocellular carcinoma.Cancer cell international · 2024Article
- Neuron stress-related genes serve as new biomarkers in hypothalamic tissue following high fat diet.Frontiers in endocrinology · 2024Article
- Hallmark guided identification and characterization of a novel immune-relevant signature for prognostication of recurrence in stage I-III lung adenocarcinoma.Genes & diseases · 2023Article
- A novel immune-related risk-scoring system associated with the prognosis and response of cervical cancer patients treated with radiation therapy.Frontiers in molecular biosciences · 2023Article
- Genetic Analysis of Platelet-Related Genes in Hepatocellular Carcinoma Reveals a Novel Prognostic Signature and Determines PRKCD as the Potential Molecular Bridge.Biological procedures online · 2022Article
- Identification of a novel gene signature predicting response to first-line chemotherapy in BRCA wild-type high-grade serous ovarian cancer patients.Journal of experimental & clinical cancer research : CR · 2022Article
- Dual-specificity phosphatases: therapeutic targets in cancer therapy resistance.Journal of cancer research and clinical oncology · 2022Review
- Analysis of Gene Co-Expression Network to Identify the Role of CD8 + T Cell Infiltration-Related Biomarkers in High-Grade Glioma.International journal of general medicine · 2022Article
- Identification and validation of a novel glycolysis-related gene signature for predicting the prognosis in ovarian cancer.Cancer cell international · 2021Article
- Integrating Multi-Omics Data for Gene-Environment Interactions.Biotech (Basel (Switzerland)) · 2021Article
- Identification of Key Genes Related to CD8+ T-Cell Infiltration as Prognostic Biomarkers for Lung Adenocarcinoma.Frontiers in oncology · 2021Article
- Identification of Biomarkers Related to Immune Cell Infiltration with Gene Coexpression Network in Myocardial Infarction.Disease markers · 2021Article
- Identification of a Five-Gene Prognostic Signature Related to B Cells Infiltration in Pancreatic Adenocarcinoma.International journal of general medicine · 2021Article
- Identification of key genes and novel immune infiltration-associated biomarkers of sepsis.Innate immunity · 2020Article
- Identification of biomarkers related to CD8Aging · 2020Article
- A novel risk score system of immune genes associated with prognosis in endometrial cancer.Cancer cell international · 2020Article
- Identification of a molecular subtyping system associated with the prognosis of Asian hepatocellular carcinoma patients receiving liver resection.Scientific reports · 2019Article
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Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A large panel of molecular biomarkers have been identified to predict the prognosis of hepatocellular carcinoma (HCC), yet with limited clinical application due to difficult extrapolation. We here generated a genetic risk score system comprised of 12 HCC-specific genes to better predict the prognosis of HCC patients. Four genomics profiling datasets (GSE5851, GSE28691, GSE15765 and GSE14323) were searched to seek HCC-specific genes by comparisons between cancer samples and normal liver tissues and between different subtypes of hepatic neoplasms. Univariate survival analysis screened HCC-specific genes associated with overall survival (OS) in the training dataset for next-step risk model construction. The prognostic value of the constructed HCC risk score system was then validated in the TCGA dataset. Stratified analysis indicated this scoring system showed better performance in elderly male patients with HBV infection and preoperative lower levels of creatinine, alpha-fetoprotein and platelet and higher level of albumin. Functional annotation of this risk model in high-risk patients revealed that pathways associated with cell cycle, cell migration and inflammation were significantly enriched. In summary, our constructed HCC-specific gene risk model demonstrated robustness and potentiality in predicting the prognosis of HCC patients, especially among elderly male patients with HBV infection and relatively better general conditions.
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