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Generation of a Comprehensive Epigenomic Atlas in Clear Cell Renal Cell Carcinoma Informs Kidney Cancer Progression and Heritability

GSE309697 Homo sapiens Genome binding/occupancy profiling by high throughput sequencing; Expression profiling by high throughput sequencing 265 samples Submitted 2025/12/30 Platform GPL20301Platform GPL11154
Summary
By generating 194 epigenomic and transcriptomic profiles datasets from 57 human tissue samples, using H3K27ac and HIF2α chromatin immunoprecipitation sequencing (ChIP-seq), ATAC-seq, and RNA-seq, we provide a comprehensive integrated characterization of clear cell renal cell carcinoma (ccRCC) across normal, tumor, and metastatic states. Our epigenomic analyses reveal insights into various aspects of ccRCC biology. First, we show that significant enhancer reprogramming (H3K27ac) and shifts in the transcription factor HIF2α cistrome and chromatin accessibility landscape occur during the transition from normal to tumor; by contrast, there areis no significant differences between localized tumors and metastatic samples. Second, we show that fetal kidney-specific developmental pathways are reactivated to drive malignancy. Third, we performed the first cistrome cistrome-wide association study (CWAS) in ccRCC, validating five established RCC risk loci and identifying six novel regions associated with RCC risk, including a significant association on 12q24 linked to the SCARB1 gene that was functionally validated. These datasets provide new perspectives on the role of developmental pathways in ccRCC tumorigenesis and metastasis, insights into epigenetic mechanisms of ccRCC heritability, and a comprehensive epigenomic atlas for the research community.
Published in
Generation of a comprehensive epigenomic atlas in clear cell renal cell carcinoma informs kidney cancer progression and heritability
Abou Alaiwi S, Adib E, Zhang Z et al. · Cell reports 2026 · PMID 41689799 · doi:10.1016/j.celrep.2026.116968
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Also filed as BioProject PRJNA1336758 and SRA study SRP630170. Searching any of these in the dataset finder brings you back here.

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