Extensive intratumor regional epigenetic heterogeneity in clear cell renal cell carcinoma targets kidney enhancers and is associated with poor outcome

被引:6
作者
El Khoury, Louis Y. [1 ]
Pan, Xiaoyu [1 ]
Hlady, Ryan A. [1 ]
Wagner, Ryan T. [1 ]
Shaikh, Shafiq [1 ,2 ]
Wang, Liguo [3 ]
Humphreys, Mitchell R. [4 ]
Castle, Erik P. [5 ]
Stanton, Melissa L. [6 ]
Ho, Thai H. [7 ]
Robertson, Keith D. [1 ]
机构
[1] Mayo Clin, Dept Mol Pharmacol & Expt Therapeut, Rochester, MN 55902 USA
[2] Mayo Clin, Dept Biochem & Mol Biol, Rochester, MN USA
[3] Mayo Clin, Dept Hlth Sci Res, Div Biomed Stat & Informat, Rochester, MN USA
[4] Mayo Clin Arizona, Dept Urol, Phoenix, AZ USA
[5] Tulane Univ, Sch Med, Dept Urol, New Orleans, LA USA
[6] Mayo Clin, Dept Lab Med & Pathol, Phoenix, AZ USA
[7] Mayo Clin Arizona, Div Hematol & Med Oncol, Scottsdale, AZ 85054 USA
基金
美国国家卫生研究院;
关键词
Clear cell renal cell cancer; Intra-tumor heterogeneity; DNA methylation; 5mC; Epigenomics; CNV; ccRCC; SETD2; Metastasis; DNA METHYLATION; VHL GENE; EVOLUTION; MUTATION; SETD2; PATTERNS; PBRM1; BAP1;
D O I
10.1186/s13148-023-01471-3
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
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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页数:20
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