ArticleFrontiers in oncology2020
A Prognostic Model Based on RNA Binding Protein Predicts Clinical Outcomes in Hepatocellular Carcinoma Patients.
Article in Frontiers in oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 23 citations in OpenAlex.
- Exploring RNA binding proteins in hepatocellular carcinoma: insights into mechanisms and therapeutic potential.Journal of experimental & clinical cancer research : CR · 2025Review
- Genome-wide profiling of a prognostic RNA-binding protein signature in esophageal cancer.Translational cancer research · 2025Article
- HnRNPR-mediated UPF3B mRNA splicing drives hepatocellular carcinoma metastasis.Journal of advanced research · 2025Article
- Identification of alternative lengthening of telomeres-related genes prognosis model in hepatocellular carcinoma.BMC cancer · 2024Article
- Nonsense-Mediated mRNA Decay Factor Functions in Human Health and Disease.Biomedicines · 2023Review
- CXCR3 predicts the prognosis of endometrial adenocarcinoma.BMC medical genomics · 2023Article
- DNA and RNA Binding Proteins: From Motifs to Roles in Cancer.International journal of molecular sciences · 2022Review
- Establishment and Validation of a Peroxisome-related Gene Signature for Prognostic Prediction and Immune Distinction in Hepatocellular Carcinoma.Journal of Cancer · 2022Article
- A Nomogram Combining a Four-Gene Biomarker and Clinical Factors for Predicting Survival of Melanoma.Frontiers in oncology · 2021Article
Corrections and comments
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Authors and funding
7 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Dysregulation of RNA binding proteins (RBPs) is closely associated with tumor events. However, the function of RBPs in hepatocellular carcinoma (HCC) has not been fully elucidated. The RNA sequences and relevant clinical data of HCC were retrieved from the The Cancer Genome Atlas (TCGA) database to identify distinct RBPs. Subsequently, univariate and multivariate cox regression analysis was performed to evaluate the overall survival (OS)-associated RBPs. The expression levels of prognostic RBP genes and survival information were analyzed using a series of bioinformatics tool. A total of 365 samples with 1,542 RBPs were included in this study. One hundred and eighty-seven differently RBPs were screened, including 175 up-regulated and 12 down-regulated. The independent OS-associated RBPs of
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