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

BACKGROUND: Clear 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 mutatio...

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Autores principales: El Khoury, Louis Y., Pan, Xiaoyu, Hlady, Ryan A., Wagner, Ryan T., Shaikh, Shafiq, Wang, Liguo, Humphreys, Mitchell R., Castle, Erik P., Stanton, Melissa L., Ho, Thai H., Robertson, Keith D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10149001/
https://www.ncbi.nlm.nih.gov/pubmed/37120552
http://dx.doi.org/10.1186/s13148-023-01471-3
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author El Khoury, Louis Y.
Pan, Xiaoyu
Hlady, Ryan A.
Wagner, Ryan T.
Shaikh, Shafiq
Wang, Liguo
Humphreys, Mitchell R.
Castle, Erik P.
Stanton, Melissa L.
Ho, Thai H.
Robertson, Keith D.
author_facet El Khoury, Louis Y.
Pan, Xiaoyu
Hlady, Ryan A.
Wagner, Ryan T.
Shaikh, Shafiq
Wang, Liguo
Humphreys, Mitchell R.
Castle, Erik P.
Stanton, Melissa L.
Ho, Thai H.
Robertson, Keith D.
author_sort El Khoury, Louis Y.
collection PubMed
description BACKGROUND: Clear 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. RESULTS: A 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. CONCLUSION: Taken 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13148-023-01471-3.
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spelling pubmed-101490012023-05-01 Extensive intratumor regional epigenetic heterogeneity in clear cell renal cell carcinoma targets kidney enhancers and is associated with poor outcome El Khoury, Louis Y. Pan, Xiaoyu Hlady, Ryan A. Wagner, Ryan T. Shaikh, Shafiq Wang, Liguo Humphreys, Mitchell R. Castle, Erik P. Stanton, Melissa L. Ho, Thai H. Robertson, Keith D. Clin Epigenetics Research BACKGROUND: Clear 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. RESULTS: A 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. CONCLUSION: Taken 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13148-023-01471-3. BioMed Central 2023-04-29 /pmc/articles/PMC10149001/ /pubmed/37120552 http://dx.doi.org/10.1186/s13148-023-01471-3 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
El Khoury, Louis Y.
Pan, Xiaoyu
Hlady, Ryan A.
Wagner, Ryan T.
Shaikh, Shafiq
Wang, Liguo
Humphreys, Mitchell R.
Castle, Erik P.
Stanton, Melissa L.
Ho, Thai H.
Robertson, Keith D.
Extensive intratumor regional epigenetic heterogeneity in clear cell renal cell carcinoma targets kidney enhancers and is associated with poor outcome
title Extensive intratumor regional epigenetic heterogeneity in clear cell renal cell carcinoma targets kidney enhancers and is associated with poor outcome
title_full Extensive intratumor regional epigenetic heterogeneity in clear cell renal cell carcinoma targets kidney enhancers and is associated with poor outcome
title_fullStr Extensive intratumor regional epigenetic heterogeneity in clear cell renal cell carcinoma targets kidney enhancers and is associated with poor outcome
title_full_unstemmed Extensive intratumor regional epigenetic heterogeneity in clear cell renal cell carcinoma targets kidney enhancers and is associated with poor outcome
title_short Extensive intratumor regional epigenetic heterogeneity in clear cell renal cell carcinoma targets kidney enhancers and is associated with poor outcome
title_sort extensive intratumor regional epigenetic heterogeneity in clear cell renal cell carcinoma targets kidney enhancers and is associated with poor outcome
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10149001/
https://www.ncbi.nlm.nih.gov/pubmed/37120552
http://dx.doi.org/10.1186/s13148-023-01471-3
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