Evidence map›Paper›PMID 31426508›Full record

ArticleCells2019

Genes Controlled by DNA Methylation Are Involved in Wilms Tumor Progression.

João Victor da Silva Guerra, Bruna Maria de Sá Pereira, Jéssica Gonçalves Vieira da Cruz, Nicole de Miranda Scherer, Carolina Furtado, Rafaela Montalvão de Azevedo, Paulo Sergio Lopes de Oliveira, Paulo Faria, Mariana Boroni, Beatriz de Camargo and 1 more

Abstract read
In one paragraph

Article in Cells, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–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

17 citing papers in PubMed.

  1. Article
  2. Review
  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. Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
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.

João Victor da Silva GuerraBrazilian Biosciences National Laboratory (LNBio), Brazilian Center for Research in Energy and Materials (CNPEM), Campinas 13083-970, Brazil.
Bruna Maria de Sá PereiraBrazilian National Cancer Institute (INCa), Rio de Janeiro 20231-050, Brazil.
Jéssica Gonçalves Vieira da CruzBioinformatics an Computacional Biology Lab, Brazilian National Cancer Institute (INCa), Rio de Janeiro 20231-050, Brazil.
Nicole de Miranda SchererBioinformatics an Computacional Biology Lab, Brazilian National Cancer Institute (INCa), Rio de Janeiro 20231-050, Brazil.ORCID 0000-0002-5914-4776
Carolina FurtadoBrazilian National Cancer Institute (INCa), Rio de Janeiro 20231-050, Brazil.
Rafaela Montalvão de AzevedoBrazilian National Cancer Institute (INCa), Rio de Janeiro 20231-050, Brazil.
Paulo Sergio Lopes de OliveiraBrazilian Biosciences National Laboratory (LNBio), Brazilian Center for Research in Energy and Materials (CNPEM), Campinas 13083-970, Brazil.
Paulo FariaBrazilian National Cancer Institute (INCa), Rio de Janeiro 20231-050, Brazil.
Mariana BoroniBioinformatics an Computacional Biology Lab, Brazilian National Cancer Institute (INCa), Rio de Janeiro 20231-050, Brazil.ORCID 0000-0003-3495-9917
Beatriz de CamargoBrazilian National Cancer Institute (INCa), Rio de Janeiro 20231-050, Brazil.
Mariana MaschiettoBrazilian Biosciences National Laboratory (LNBio), Brazilian Center for Research in Energy and Materials (CNPEM), Campinas 13083-970, Brazil. marianamasc@gmail.com.ORCID 0000-0003-2589-3186

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To identify underlying mechanisms involved with metastasis formation in Wilms tumors (WTs), we performed comprehensive DNA methylation and gene expression analyses of matched normal kidney (NK), WT blastemal component, and metastatic tissues (MT) from patients treated under SIOP 2001 protocol. A linear Bayesian framework model identified 497 differentially methylated positions (DMPs) between groups that discriminated NK from WT, but MT samples were divided in two groups. Accordingly, methylation variance grouped NK and three MT samples tightly together and all WT with four MT samples that showed high variability. WT were hypomethylated compared to NK, and MT had a hypermethylated pattern compared to both groups. The methylation patterns were in agreement with methylases and demethylases expression. Methylation data pointed to the existence of two groups of metastases. While hierarchical clustering analysis based on the expression of all 2569 differentially expressed genes (DEGs) discriminated WT and MT from all NK samples, the hierarchical clustering based on the expression of 44 genes with a differentially methylated region (DMR) located in their promoter region revealed two groups: one containing all NKs and three MTs and one containing all WT and four MTs. Methylation changes might be controlling expression of genes associated with WT progression. The 44 genes are candidates to be further explored as a signature for metastasis formation in WT.

Indexed as

Genes, Wilms TumorKidneyKidney NeoplasmsWilms TumorDisease ProgressionDNA MethylationEpigenesis, GeneticFemaleGene Expression Regulation, NeoplasticHumansMaleTranscriptomecancer progressiondata integrationDNA methylationDNMTgene expressionTETWilms tumor

Identifiers

PMID31426508
PMCPMC6721649

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.