ArticleCancer medicine2021
A novel five-gene signature predicts overall survival of patients with hepatocellular carcinoma.
Article in Cancer medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.
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Who cites it
26 citing papers in PubMed, 88 citations in OpenAlex.
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- CER1 as a manganese ion metabolism gene drives gastric cancer progression and therapeutic potential via oxidative stress and tumor microenvironment regulation.Discover oncology · 2025Article
- CircUCK2(2,3) promotes cancer progression and enhances synergistic cytotoxicity of lenvatinib with EGFR inhibitors via activating CNIH4-TGFα-EGFR signaling.Cellular & molecular biology letters · 2025Article
- Deciphering the role of CNIH4 in pan-cancer landscapes and its significance in breast cancer progression.Frontiers in genetics · 2025Article
- Impact of water physicochemical properties on the survival of Oncomelania hupensis snails, the intermediate host of Schistosoma japonicum.BMC infectious diseases · 2024Article
- The Role of Cornichons in the Biogenesis and Functioning of Monovalent-Cation Transport Systems.Physiological research · 2024Review
- Comprehensive analysis of clinical prognosis and biological significance of CNIH4 in cervical cancer.Cancer medicine · 2023Article
- Bioinformatics identification of a T-cell-related signature for predicting prognosis and drug sensitivity in hepatocellular carcinoma.IET systems biology · 2023Article
- Integrated multiomics analysis and machine learning refine molecular subtypes and prognosis for muscle-invasive urothelial cancer.Molecular therapy. Nucleic acids · 2023Article
- Combining bulk and single-cell RNA-sequencing data to develop an NK cell-related prognostic signature for hepatocellular carcinoma based on an integrated machine learning framework.European journal of medical research · 2023Article
- Pregnancy Zone Protein Serves as a Prognostic Marker and Favors Immune Infiltration in Lung Adenocarcinoma.Biomedicines · 2023Article
- Signature construction and molecular subtype identification based on immune-related genes for better prediction of prognosis in hepatocellular carcinoma.BMC medical genomics · 2023Article
- Integrated analysis based on vesicle trafficking-related genes identifying CNIH4 as a novel therapeutic target for glioma.Cancer medicine · 2023Article
- Construction of diagnostic and prognostic models based on gene signatures of nasopharyngeal carcinoma by machine learning methods.Translational cancer research · 2023Article
- A T-cell-related signature for prognostic stratification and immunotherapy response in hepatocellular carcinoma based on transcriptomics and single-cell sequencing.BMC bioinformatics · 2023Article
- HCC: RNA-Sequencing in Cirrhosis.Biomolecules · 2023Article
- Development and validation of a diagnostic and prognostic model for lung metastasis of hepatocellular carcinoma: a study based on the SEER database.Frontiers in medicine · 2023Article
- CNIH4: a novel biomarker connected with poor prognosis and cell proliferation in patients with lower-grade glioma.American journal of cancer research · 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
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10 authors at 2 institutions in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
Hepatocellular carcinoma (HCC) is one of the most common public health challenges, worldwide. Because of molecular complexity and tumor heterogeneity, there are no effective predictive models for prognosis of HCC. This underlines the unmet need for accurate prognostic models for HCC. Analysis of GSE14520 data from gene omnibus (GEO) database identified multiple differentially expressed mRNAs (DEMs) between HCC and normal tissues. After randomly stratifying the patients into the training and testing groups, we performed univariate, lasso, and multivariable Cox regression analyses to delineate the prognostic gene signature in training set. We then used Kaplan-Meier plot, time-dependent receiver operating characteristic (ROC), multivariable Cox regression analysis of clinical information, nomogram, and decision curve analysis (DCA) to evaluate the predictive and overall survival value of a novel five-gene signature (CNIH4, SOX4, SPP1, SORBS2, and CCL19) within and across sets, separately and combined. We also validated the prognostic value of the five-gene signature using The Cancer Genome Atlas-Liver Hepatocellular Carcinoma (TCGA-LIHC), GSE54236 and International Cancer Genome Consortium (ICGC) sets. Multivariable Cox regression analysis revealed that the five-gene signature and tumor node metastasis (TNM) stage were independent prognostic factors for overall survival of HCC patients in GSE14520 and TCGA-LIHC. Combining TNM stage clinical pathological parameters and nomogram greatly improved the prognosis prediction of HCC. Further gene set enrichment analysis (GSEA) revealed enrichment of KEGG pathways related to cell cycle in the high-risk group and histidine metabolism in the low-risk group. Finally, all these five mRNAs are overexpressed between 12 pairs of HCC and adjacent normal tissues by quantitative real-time PCR validation. In brief, a five-gene prognostic signature and a nomogram were identified and constructed, respectively, and further validated for their HCC prognostic value. The five-gene risk score together with TNM stage models could aid in rationalizing customized therapies in HCC patients.
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