ArticleHepatology international2019
Identification and validation of a prognostic four-genes signature for hepatocellular carcinoma: integrated ceRNA network analysis.
Article in Hepatology international, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.
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33 citing papers in PubMed.
- Cuproptosis-related ceRNA axis triggers cell proliferation and cell cycle through CBX2 in lung adenocarcinoma.BMC pulmonary medicine · 2024Article
- Machine learning potential predictor of idiopathic pulmonary fibrosis.Frontiers in genetics · 2024Article
- Competing endogenous RNA network characterization of lymph node metastases in Leuran gastric cancer subtypes.Journal of cancer research and clinical oncology · 2023Article
- Construction and validation of prognostic signature for hepatocellular carcinoma basing on hepatitis B virus related specific genes.Infectious agents and cancer · 2022Article
- Comprehensive analysis of competitive endogenous RNAs network: Identification and validation of prediction model composed of mRNA signature and miRNA signature in gastric cancer.Oncology letters · 2022Article
- Integrated analysis of ceRNA network reveals potential prognostic Hint1-related lncRNAs involved in hepatocellular carcinoma progression.World journal of surgical oncology · 2022Article
- Integrated Analysis of the lncRNA-Associated ceRNA Network in Wilms Tumor via TARGET and GEO Databases.Genetics research · 2022Article
- Identification of cell senescence molecular subtypes in prediction of the prognosis and immunotherapy of hepatitis B virus-related hepatocellular carcinoma.Frontiers in immunology · 2022Article
- Role of 5-methylcytosine in determining the prognosis, tumor microenvironment, and applicability of precision medicine in patients with hepatocellular carcinoma.Frontiers in genetics · 2022Article
- Molecular classification of hepatocellular carcinoma: prognostic importance and clinical applications.Journal of cancer research and clinical oncology · 2022Review
- Transcriptomic profiling of peroxisome-related genes reveals a novel prognostic signature in hepatocellular carcinoma.Genes & diseases · 2022Article
- Gene signature to predict prognostic survival of hepatocellular carcinoma.Open medicine (Warsaw, Poland) · 2022Article
- Machine Learning Screens Potential Drugs Targeting a Prognostic Gene Signature Associated With Proliferation in Hepatocellular Carcinoma.Frontiers in genetics · 2022Article
- Development of an Eight-gene Prognostic Model for Overall Survival Prediction in Patients with Hepatocellular Carcinoma.Journal of clinical and translational hepatology · 2021Article
- Lidocaine Inhibits Hepatocellular Carcinoma Development by Modulating circ_ITCH/miR-421/CPEB3 Axis.Digestive diseases and sciences · 2021Article
- Article
- A novel signature based on pairwise PD-1/PD-L1 signaling pathway genes for predicting the overall survival in patients with hepatocellular carcinoma.Clinical and translational medicine · 2021Article
- Comprehensive analyses of competing endogenous RNA networks reveal potential biomarkers for predicting hepatocellular carcinoma recurrence.BMC cancer · 2021Article
- Investigation of Potential Molecular Biomarkers for Diagnosis and Prognosis of AFP-Negative HCC.International journal of general medicine · 2021Article
- Genomic Instability of Mutation-Derived Gene Prognostic Signatures for Hepatocellular Carcinoma.Frontiers in cell and developmental biology · 2021Article
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10 authors.
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Abstract
backgroundHepatocellular carcinoma (HCC) is one of the most aggressive malignant tumors, with a poor long-term prognosis worldwide. The functional deregulations of global transcriptome were associated with the genesis and development of HCC, but lacks systematic research and validation.
methodsA total of 519 postoperative HCC patients were included. We built an interactive and visual competing endogenous RNA network. The prognostic signature was established with the least absolute shrinkage and selection operator algorithm. Multivariate Cox regression analysis was used to screen for independent prognostic factors for HCC overall survival.
resultsIn the training set, we identified a four-gene signature (PBK, CBX2, CLSPN, and CPEB3) and effectively predicted the overall survival. The survival times of patients in the high-score group were worse than those in the low-score group (p = 0.0004), and death was also more likely in the high-score group (HR 2.444, p < 0.001). The results were validated in internal validation set (p = 0.0057) and two external validation cohorts (HR 2.467 and 2.6). The signature (AUCs of 1, 2, 3 years were 0.716, 0.726, 0.714, respectively) showed high prognostic accuracy in the complete TCGA cohort.
conclusionsIn conclusion, we successfully built a more extensive ceRNA network for HCC and then identified a four-gene-based signature, enabling prediction of the overall survival of patients with HCC.
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