ArticleTranslational andrology and urology2021
Construction of diagnostic and subtyping models for renal cell carcinoma by genome-wide DNA methylation profiles.
Article in Translational andrology and urology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Multi-omics Analysis Implicates Mitochondrial Complex Assembly Protein COX18 in Mitochondrial Signaling and Tumorigenesis across Cancers.Cell biochemistry and biophysics · 2025Article
- ITGB3 is a Novel Prognostic Biomarker and Correlates with Aberrant Methylation and Tumor Immunity in Clear Cell Renal Cell Carcinoma.Combinatorial chemistry & high throughput screening · 2025Article
- Detecting aberrant DNA methylation in Illumina DNA methylation arrays: a toolbox and recommendations for its use.Epigenetics · 2023Article
- methylClass: an R package to construct DNA methylation-based classification models.Briefings in bioinformatics · 2023Article
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12 authors.
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Abstract
backgroundRenal cell carcinoma (RCC) is one of the most common urological cancers and has a poor prognosis. RCC is classified into several subtypes, among which kidney renal clear cell carcinoma (KIRC) and kidney renal papillary cell carcinoma (KIRP) are the two most common subtypes. Due to the lack of adequate screening and comparative analysis of RCC subtypes, effective diagnosis and treatment strategies have not yet been achieved.
methodsIn this study, 450K methylation array data were collected from The Cancer Genome Atlas (TCGA). The 'limma moderated t-test' and LASSO were used to construct diagnostic and subtyping models, and survival analysis was conducted online by GEPIA.
resultsWe built a model with 15 methylation sites, which showed high diagnostic and subtyping performance in specificity and sensitivity. At the same time, for potential clinical usability, we calculated the diagnostic and subtyping scores to classify RCC from normal tissue and distinguish the different RCC subtypes. Additionally, the CpG sites were mapped to their corresponding genes, which could also be used to predict the prognosis of RCC.
conclusionsDifferent methylation sites can be used as diagnostic and subtyping markers that are specific to RCC and RCC subtypes (KIRC and KIRP) with high sensitivity and accuracy.
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