ArticleBioMed research international2020
A Nomogram Based on a Three-Gene Signature Derived from AATF Coexpressed Genes Predicts Overall Survival of Hepatocellular Carcinoma Patients.
Article in BioMed research international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- The SLC41 Family of Magnesium Transporters: Molecular Regulators of Magnesium Homeostasis and Their Multifaceted Roles in Human Diseases.International journal of molecular sciences · 2026Review
- Identification and validation of SAC3D1 as a prognostic biomarker promoting the development of osteosarcoma.Scientific reports · 2025Article
- The Oncogenic and Immunological Roles of Apoptosis Antagonistic Transcription Factors in Human Tumors: A Pan-Cancer Analysis.Oxidative medicine and cellular longevity · 2022Article
- The Emerging Factors and Treatment Options for NAFLD-Related Hepatocellular Carcinoma.Cancers · 2021Review
- AATF is Overexpressed in Human Head and Neck Squamous Cell Carcinoma and Regulates STAT3/Survivin Signaling.OncoTargets and therapy · 2021Article
- Identification of a Novel Four-Gene Signature Correlated With the Prognosis of Patients With Hepatocellular Carcinoma: A Comprehensive Analysis.Frontiers in oncology · 2021Article
- High Expression of SLC41A3 Correlates with Poor Prognosis in Hepatocellular Carcinoma.OncoTargets and therapy · 2021Article
- AATF is Overexpressed in Human Bladder Cancer and Regulates Chemo-Sensitivity Through Survivin.OncoTargets and therapy · 2021Article
- Development and Validation of a Clinicopathological-Based Nomogram to Predict the Survival Outcome of Patients with Recurrent Hepatocellular Carcinoma After Hepatectomy Who Underwent Microwave Ablation.Cancer management and research · 2020Article
- A Comprehensive Prognostic and Immune Analysis of SLC41A3 in Pan-Cancer.Frontiers in oncology · 2020Article
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4 authors.
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Abstract
backgroundHepatocellular carcinoma (HCC) is a common cancer with an extremely high mortality rate. Therefore, there is an urgent need in screening key biomarkers of HCC to predict the prognosis and develop more individual treatments. Recently, AATF is reported to be an important factor contributing to HCC.
methodsWe aimed to establish a gene signature to predict overall survival of HCC patients. Firstly, we examined the expression level of AATF in the Gene Expression Omnibus (GEO), the Cancer Genome Atlas (TCGA), and the International Union of Cancer Genome (ICGC) databases. Genes coexpressed with AATF were identified in the TCGA dataset by the Poisson correlation coefficient and used to establish a gene signature for survival prediction. The prognostic significance of this gene signature was then validated in the ICGC dataset and used to build a combined prognostic model for clinical practice.
resultsGene expression data and clinical information of 2521 HCC patients were downloaded from three public databases. AATF expression in HCC tissue was higher than that in matched normal liver tissues. 644 genes coexpressed with AATF were identified by the Poisson correlation coefficient and used to establish a three-gene signature (KIF20A, UCK2, and SLC41A3) by the univariate and multivariate least absolute shrinkage and selection operator Cox regression analyses. This three-gene signature was then used to build a combined nomogram for clinical practice.
conclusionThis integrated nomogram based on the three-gene signature can predict overall survival for HCC patients well. The three-gene signature may be a potential therapeutic target in HCC.
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