ArticleTranslational cancer research2022
Establishment and verification of a prognostic model of liver cancer by RNA-binding proteins based on the TCGA database.
Article in Translational cancer research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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5 citing papers in PubMed.
- Comprehensive analysis of the RBP regulome reveals functional modules and drug candidates in liver cancer.Scientific reports · 2026Article
- Identification of Mitochondrial Dysfunction Genes as Diagnostic Biomarkers for Ischemic Stroke by Integrated Bioinformatics Analysis and Machine Learning.Journal of molecular neuroscience : MN · 2026Article
- NOP56 Drives Colorectal Cancer Progression by Modulating p53 Acetylation through SIRT1/p300.International journal of biological sciences · 2026Article
- GermlineCancers · 2025Article
- Green tea polyphenols alleviate di-(2-ethylhexyl) phthalate-induced liver injury in mice.World journal of gastroenterology · 2023Article
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7 authors.
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Abstract
Background: Globally, liver cancer is one of the most common malignant tumors and is the third leading cause of cancer deaths. RNA-binding protein (RBP) is a general term for a class of proteins that bind to RNA to regulate metabolic processes. The expression of RNA-binding proteins is related to the prognosis of liver cancer patients. Methods: The RBP gene expression data of liver cancer were extracted from the TCGA database. First, the differentially expressed RBPs (DE RBPs) were selected through enrichment analysis and volcano mapping. Then, the prognosis-related RBP genes were selected through single-factor Cox regression analysis. The key prognosis-related RBPs were further screened by multifactor Cox regression analysis, and a formula for the patient's risk coefficient was obtained. Finally, based on the patient's risk score, a nomogram was established and verified. Results: We extracted 374 cancer tissue samples and 50 normal tissue samples with the clinical information from each sample. Through enrichment analysis, we screened 208 upregulated RBPs and 122 downregulated RBPs. Prognosis-related high-risk genes were Conclusions: The nomogram has good predictive value for the survival time of liver cancer patients.
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