ArticleInternational journal of cell biology2026
Integrative Meta-Analysis and WGCNA Reveal Candidate Diagnostic Hub Genes in Clear Cell Carcinoma.
Article in International journal of cell biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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
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Who cites it
2 citing papers in PubMed.
- Transcriptomic Meta-Analysis as a Framework for Robust Cross-Study Biological Inference.International journal of molecular sciences · 2026Review
- Integrative Meta-Analysis and WGCNA Reveal Candidate Diagnostic Hub Genes in Clear Cell Carcinoma.International journal of cell biology · 2026Article
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Authors and funding
3 authors.
Funding
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Abstract
Clear cell renal cell carcinoma (ccRCC) remains poorly understood at the genetic level. In this study, 12 GEO microarray datasets were combined, and meta-analysis and multiparameter gene prioritization were used to reveal candidate diagnostic biomarkers. Improved preprocessing and analysis were used to identify differentially expressed genes (DEGs), which led to 4651 DEGs enriched in metabolic pathways, immune response, and kidney development. Key transcription factors (TFs), including ZNF692, ZNF395, and ZNF582, were identified. Utilizing WGCNA, 21 hub genes were identified, and diagnostic potential was determined via ROC analysis. Seventeen of the genes with AUC > 0.7 were validated as diagnostic hub genes, including ALDH2, ACADM, KIF11, and PTPRC. Nine of these genes showed significant prognostic relevance. The current work identifies key biomarkers that can enhance ccRCC diagnosis and guide future therapy.
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