ArticleClinical epigenetics2023
Extensive intratumor regional epigenetic heterogeneity in clear cell renal cell carcinoma targets kidney enhancers and is associated with poor outcome.
Article in Clinical epigenetics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 9 citations in OpenAlex.
- Unveiling the epigenetic landscape: transforming renal cell carcinoma treatment.Clinical epigenetics · 2026Review
- Epigenomic subtypes and prognostic methylation signatures in clear cell renal cell carcinoma.Clinical epigenetics · 2026Article
- DNA Methylation-Based Classification of Kidney Neoplasms.Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2025Article
- Evidence of DNA methylation heterogeneity and epipolymorphism in kidney cancer tissue samples.Oncogene · 2025Article
- New players in the landscape of renal cell carcinoma bone metastasis and therapeutic opportunities.International journal of cancer · 2025Review
- Comprehensive analysis of palmitoylation-related proteins for prognostic risk evaluation and tumor immune microenvironment assessment in glioma.Frontiers in immunology · 2025Article
- Pathogenic role of super-enhancers as potential therapeutic targets in lung cancer.Frontiers in pharmacology · 2024Review
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Authors and funding
11 authors at 5 institutions in 1 country.
Funding
Abstract
backgroundClear cell renal cell cancer (ccRCC), the 8th leading cause of cancer-related death in the US, is challenging to treat due to high level intratumoral heterogeneity (ITH) and the paucity of druggable driver mutations. CcRCC is unusual for its high frequency of epigenetic regulator mutations, such as the SETD2 histone H3 lysine 36 trimethylase (H3K36me3), and low frequency of traditional cancer driver mutations. In this work, we examined epigenetic level ITH and defined its relationships with pathologic features, aspects of tumor biology, and SETD2 mutations.
resultsA multi-region sampling approach coupled with EPIC DNA methylation arrays was conducted on a cohort of normal kidney and ccRCC. ITH was assessed using DNA methylation (5mC) and CNV-based entropy and Euclidian distances. We found elevated 5mC heterogeneity and entropy in ccRCC relative to normal kidney. Variable CpGs are highly enriched in enhancer regions. Using intra-class correlation coefficient analysis, we identified CpGs that segregate tumor regions according to clinical phenotypes related to tumor aggressiveness. SETD2 wild-type tumors overall possess greater 5mC and copy number ITH than SETD2 mutant tumor regions, suggesting SETD2 loss contributes to a distinct epigenome. Finally, coupling our regional data with TCGA, we identified a 5mC signature that links regions within a primary tumor with metastatic potential.
conclusionTaken together, our results reveal marked levels of epigenetic ITH in ccRCC that are linked to clinically relevant tumor phenotypes and could translate into novel epigenetic biomarkers.
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