Evidence map›Paper›PMID 37120552›Full record

ArticleClinical epigenetics2023

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

Louis Y El Khoury, Xiaoyu Pan, Ryan A Hlady, Ryan T Wagner, Shafiq Shaikh, Liguo Wang, Mitchell R Humphreys, Erik P Castle, Melissa L Stanton, Thai H Ho and 1 more

Open access · goldAbstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.4field-weighted citation impact, top 19% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
  2. Article
  3. DNA Methylation-Based Classification of Kidney Neoplasms.Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2025
    Article
  4. Article
  5. Review
  6. Article
  7. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 5 institutions in 1 country.

Louis Y El KhouryDepartment of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Rochester, MN, USA.
Xiaoyu PanDepartment of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Rochester, MN, USA.
Ryan A HladyDepartment of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Rochester, MN, USA.
Ryan T WagnerDepartment of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Rochester, MN, USA.
Shafiq ShaikhDepartment of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Rochester, MN, USA.
Liguo WangDivision of Biomedical Statistics and Informatics, Department of Health Science Research, Mayo Clinic, Rochester, MN, USA.
Mitchell R HumphreysDepartment of Urology, Mayo Clinic Arizona, Phoenix, AZ, USA.
Erik P CastleDepartment of Urology, Tulane University School of Medicine, New Orleans, LA, USA.
Melissa L StantonDepartment of Laboratory Medicine and Pathology, Mayo Clinic, Phoenix, AZ, USA.
Thai H HoDivision of Hematology and Medical Oncology, Mayo Clinic Arizona, Scottsdale, AZ, USA. ho.thai@mayo.edu.
Keith D RobertsonDepartment of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Rochester, MN, USA. robertson.keith@mayo.edu.
Mayo Clinic · USMayo Clinic in Florida · USMayo Clinic Hospital · USMayo Clinic in Arizona · USTulane University · US

Funding

Deciphering the interplay between H3K36 and DNA methylation in renal cancerR01CA224917 · NCI · MAYO CLINIC ROCHESTER · PI HO, THAI HUU, ROBERTSON, KEITH D · 2018 to 2022
$2.9M
NCI NIH HHS R01 CA224917
6 · The paper itself

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.

Indexed as

Carcinoma, Renal CellKidney NeoplasmsDNA MethylationEpigenesis, GeneticHumansKidneyMutation5mCccRCCClear cell renal cell cancerCNVDNA methylationEpigenomicsH3K36me3Intra-tumor heterogeneityMetastasisSETD2

Identifiers

PMID37120552
PMCPMC10149001
OpenAlexW4367367855

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.