ArticleHeliyon2023
Prognostic signature of colorectal cancer based on uric acid-related genes.
Article in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
5 citing papers in PubMed, 1 citations in OpenAlex.
- Pharmacogenomic characterization of a uric acid metabolism-related signature associated with prognosis and drug sensitivity in gastric cancer.Naunyn-Schmiedeberg's archives of pharmacology · 2026Article
- Soluble Uric Acid Drives CD8+ T-cell Exhaustion by Inducing KSR1-Mediated MAPK Hyperactivation.Cancer research · 2026Article
- Article
- SLC2A9-Mediated Uric Acid Homeostasis Modulates Apoptosis in TNBC.Breast cancer (Dove Medical Press) · 2026Article
- Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Colorectal cancer (CRC) is one of the deadliest cancers worldwide. Numerous studies have reported a correlation between uric acid (UA) level and CRC risk. Here, we investigated the role and prognostic value of UA-related genes in CRC progression. CRC-associated gene expression and clinical data were retrieved from The Cancer Genome Atlas (TCGA), and UA-related genes were identified by overlapping the TCGA and GeneCards databases. The Gene Ontology annotation, Kyoto Encyclopedia of Genes and Genomes pathway, and Molecular Signatures Database dataset were subjected to gene set enrichment analysis. A prognostic model was constructed using the univariate and multivariate COX regression and least absolute shrinkage and selection operator (LASSO) analyses and validated using the Gene Expression Omnibus cohort. Competing endogenous RNA network, CellMiner, and Human Protein Atlas were used to detect the signature of 13 UA-related genes in the prediction model. The expression of five potential UA-related genes in CRC cell lines was confirmed via qPCR. CIBERSORT was used to evaluate immune cell infiltration in the TCGA-CRC dataset. Thirteen highly prognostic UA-related genes were used to construct a prognostic model of CRC with risk score accuracy and predictive efficacy. Abundance of activated M0 macrophages, monocytes, CD8
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.