ArticleWorld journal of gastrointestinal oncology2024
Hepatocellular carcinoma: An analysis of the expression status of stress granules and their prognostic value.
Article in World journal of gastrointestinal oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
3 citing papers in PubMed.
- Bioinformatics analysis of TRPV1 expression and its role in hepatocellular carcinoma prognosis.Discover oncology · 2026Article
- CCDC137: A key hub for RNA and epigenetic regulation in cancer research (Review).International journal of oncology · 2026Review
- Emerging roles of stress granules in liver diseases: a comprehensive review.Frontiers in cell and developmental biology · 2025Review
Corrections and comments
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Authors and funding
5 authors.
Funding
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Abstract
backgroundHepatocellular carcinoma (HCC) is a global popular malignant tumor, which is difficult to cure, and the current treatment is limited.
aimTo analyze the impacts of stress granule (SG) genes on overall survival (OS), survival time, and prognosis in HCC.
methodsThe combined The Cancer Genome Atlas-Liver Hepatocellular Carcinoma (TCGA-LIHC), GSE25097, and GSE36376 datasets were utilized to obtain genetic and clinical information. Optimal hub gene numbers and corresponding coefficients were determined using the Least absolute shrinkage and selection operator model approach, and genes for constructing risk scores and corresponding correlation coefficients were calculated according to multivariate Cox regression, respectively. The prognostic model's receiver operating characteristic (ROC) curve was produced and plotted utilizing the time ROC software package. Nomogram models were constructed to predict the outcomes at 1, 3, and 5-year OS prognostications with good prediction accuracy.
resultsWe identified seven SG genes (
conclusionBased on the impact of SG genes on HCC prognosis, in the future, it will be used as a biomarker as well as a unique therapeutic target for the identification and treatment of HCC.
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