ArticleOncology letters2023
Comprehensive analysis of the expression, prognostic value and biological importance of OVO‑like proteins in clear cell renal cell carcinoma.
Article in Oncology letters, 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, 6 citations in OpenAlex.
- Article
- Interpretable machine learning-driven multi-omics risk stratification and drug repurposing nominates Treg/Th17 with gluconeogenesis/lactylation integration as a prognostic and druggable biomarker for glioblastoma patients.Frontiers in oncology · 2026Article
- Article
- Unveiling the impact of OVOL1 on prognosis, immune microenvironment, and proliferation in pancreatic cancer.Scientific reports · 2025Article
- Comprehensive analysis of the expression, prognosis and biological significance of FSCN family in clear cell renal cell carcinoma.Oncology letters · 2023Article
Corrections and comments
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Authors and funding
5 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study examined the expression levels of OVO-like proteins (OVOLs) in clear cell renal cell carcinoma (ccRCC) tissues and their value in predicting disease prognosis. The transcript levels, genetic alterations, and biological functions of OVOLs and their correlation with tumor immune cell infiltration and drug sensitivity and survival outcomes, as well as their prognostic values, in patients with ccRCC were analyzed based on data obtained from The Cancer Genome Atlas, Gene Expression Profiling Interactive Analysis, cBioPortal, and GSCALite databases. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes analyses were performed using R software (Bioconductor, clusterProfiler packages). A protein-protein interaction network was established and visualized using the R software with the ggplots package. The ggstatsplot package was used to plot the correlation between gene expression and immune cell infiltration. The mRNA expression levels of
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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.