Evidence map›Paper›PMID 27256309›Full record

ArticleClinical cancer research : an official journal of the American Association for Cancer Research2016

DNA Methylation Signature Reveals Cell Ontogeny of Renal Cell Carcinomas.

Gabriel G Malouf, Xiaoping Su, Jianping Zhang, Chad J Creighton, Thai H Ho, Yue Lu, Noël J-M Raynal, Jose A Karam, Pheroze Tamboli, Frederick Allanick and 6 more

Abstract read
In one paragraph

Article in Clinical cancer research : an official journal of the American Association for Cancer Research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

36 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. DNA Methylation-Based Classification of Kidney Neoplasms.Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2025
    Article
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  18. Silencing of theFrontiers in molecular biosciences · 2021
    Article
  19. Article
  20. Genomic profiling in renal cell carcinoma.Nature reviews. Nephrology · 2020
    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

16 authors.

Gabriel G MaloufDepartment of Medical Oncology, Groupe Hospitalier Pitié-Salpêtrière, University Pierre and Marie Curie (Paris VI), Institut Universitaire de cancérologie, AP-HP, Paris, France. ntannir@mdanderson.org gabriel.malouf@psl.aphp.fr.
Xiaoping SuDepartment of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Jianping ZhangDepartment of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Chad J CreightonDepartment of Medicine, Baylor College of Medicine, Houston, Texas.
Thai H HoDivision of Hematology and Medical Oncology, Mayo Clinic, Scottsdale, Arizona.
Yue LuDepartment of Molecular Carcinogenesis, The University of Texas MD Anderson Cancer Center, Smithville, Texas.
Noël J-M RaynalFels Institute, Temple University School of Medicine, Philadelphia, Pennsylvania.
Jose A KaramDepartment of Urology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Pheroze TamboliDepartment of Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Frederick AllanickAVEC Foundation Laboratory, Groupe Hospitalier Pitié-Salpêtrière, Paris, France.
Roger MouawadAVEC Foundation Laboratory, Groupe Hospitalier Pitié-Salpêtrière, Paris, France.
Jean-Philippe SpanoDepartment of Medical Oncology, Groupe Hospitalier Pitié-Salpêtrière, University Pierre and Marie Curie (Paris VI), Institut Universitaire de cancérologie, AP-HP, Paris, France.
David KhayatDepartment of Medical Oncology, Groupe Hospitalier Pitié-Salpêtrière, University Pierre and Marie Curie (Paris VI), Institut Universitaire de cancérologie, AP-HP, Paris, France.
Christopher G WoodDepartment of Urology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Jaroslav JelinekDepartment of Molecular Carcinogenesis, The University of Texas MD Anderson Cancer Center, Smithville, Texas.
Nizar M TannirDepartment of Genitourinary Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas. ntannir@mdanderson.org gabriel.malouf@psl.aphp.fr.

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Scott Kopetz · 1985 to 2026
$290.8M
Women's Cancer ProgramP30CA015083 · NCI · MAYO CLINIC ROCHESTER · PI Felicity Enders · 1985 to 2026
$151.3M
WORD PROCESSING CENTER--COREP30CA006927 · NCI · RESEARCH INST OF FOX CHASE CAN CTR · PI Margaret von Mehren · 1985 to 2026
$138.8M
Tumor BiologyP30CA125123 · NCI · BAYLOR COLLEGE OF MEDICINE · PI DAVID R ROWLEY · 2007 to 2026
$73.9M
Paul Calabresi Program in Clinical/Translational Research at Mayo ClinicK12CA090628 · NCI · MAYO CLINIC ROCHESTER · PI WEROHA, SARAVUT · 2001 to 2025
$19.7M
NCI NIH HHS K12 CA090628NCI NIH HHS P30 CA006927NCI NIH HHS P30 CA015083NCI NIH HHS P30 CA016672NCI NIH HHS P30 CA125123
6 · The paper itself

Abstract

purposeDNA methylation is a heritable covalent modification that is developmentally regulated and is critical in tissue-type definition. Although genotype-phenotype correlations have been described for different subtypes of renal cell carcinoma (RCC), it is unknown if DNA methylation profiles correlate with morphological or ontology based phenotypes. Here, we test the hypothesis that DNA methylation signatures can discriminate between putative precursor cells in the nephron. EXPERIMENTAL DESIGNS: We performed deep profiling of DNA methylation and transcriptome in diverse histopathological RCC subtypes and validated DNA methylation in an independent dataset as well as in The Cancer Genome Atlas Clear Cell and Chromophobe Renal Cell Carcinoma Datasets.

resultsOur data provide the first mapping of methylome epi-signature and indicate that RCC subtypes can be grouped into two major epi-clusters: C1, which encompasses clear-cell RCC, papillary RCC, mucinous and spindle cell carcinomas and translocation RCC; C2, which comprises oncocytoma and chromophobe RCC. Interestingly, C1 epi-cluster displayed 3-fold more hypermethylation as compared with C2 epi-cluster. Of note, differentially methylated regions between C1 and C2 epi-clusters occur in gene bodies and intergenic regions, instead of gene promoters. Transcriptome analysis of C1 epi-cluster suggests a functional convergence on Polycomb targets, whereas C2 epi-cluster displays DNA methylation defects. Furthermore, we find that our epigenetic ontogeny signature is associated with worse outcomes of patients with clear-cell RCC.

conclusionsOur data define the epi-clusters that can discriminate between distinct RCC subtypes and for the first time define the epigenetic basis for proximal versus distal tubule derived kidney tumors. Clin Cancer Res; 22(24); 6236-46. ©2016 AACR.

Indexed as

Biological OntologiesCarcinoma, Renal CellDNA MethylationEpigenesis, GeneticFemaleGene Expression Regulation, NeoplasticGenetic Association StudiesHumansKidney NeoplasmsMaleNephronsPromoter Regions, GeneticTranscriptome

Identifiers

PMID27256309
PMCPMC5135666

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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.