Evidence map›Paper›PMID 38093305›Full record

ArticleClinical epigenetics2023

ZEB1 hypermethylation is associated with better prognosis in patients with colon cancer.

Irene Fernandez-De-Los-Reyes, Marisa Gomez-Dorronsoro, Iñaki Monreal-Santesteban, Agustín Fernandez-Fernandez, Mario Fraga, Pablo Azcue, Laura Alonso, Beatriz Fernandez-Marlasca, Javier Suarez, Alicia Cordoba-Iturriagagoitia 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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 32% 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

4 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. 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 at 4 institutions in 1 country.

Irene Fernandez-De-Los-ReyesDepartment of Pathology, Hospital Universitario de Navarra (HUN), Irunlarrea 3, 31008, Pamplona, Spain.
Marisa Gomez-DorronsoroDepartment of Pathology, Hospital Universitario de Navarra (HUN), Irunlarrea 3, 31008, Pamplona, Spain.
Iñaki Monreal-SantestebanMolecular Pathology of Cancer Group, Navarrabiomed, Universidad Pública de Navarra (UPNA), Instituto de Investigación Sanitaria de Navarra (IdiSNA), Irunlarrea 3, 31008, Pamplona, Spain.
Agustín Fernandez-FernandezNanomaterials and Nanotechnology Research Center (CINN-CSIC), 33940, El Entrego, Spain.
Mario FragaNanomaterials and Nanotechnology Research Center (CINN-CSIC), 33940, El Entrego, Spain.
Pablo AzcueDepartment of Health Science, Public University of Navarra, Irunlarrea 3, 31008, Pamplona, Spain.
Laura AlonsoDepartment of Pathology, Hospital Universitario de Navarra (HUN), Irunlarrea 3, 31008, Pamplona, Spain.
Beatriz Fernandez-MarlascaDepartment of Pathology, Hospital Universitario de Navarra (HUN), Irunlarrea 3, 31008, Pamplona, Spain.
Javier SuarezDepartment of Surgery, Hospital Universitario de Navarra (HUN), Irunlarrea 3, 31008, Pamplona, Spain.
Alicia Cordoba-IturriagagoitiaDepartment of Pathology, Hospital Universitario de Navarra (HUN), Irunlarrea 3, 31008, Pamplona, Spain.
David Guerrero-SetasDepartment of Pathology, Hospital Universitario de Navarra (HUN), Irunlarrea 3, 31008, Pamplona, Spain. dguerres@navarra.es.
Universidad de Navarra · ESCentre for Biomedical Network Research on Rare Diseases · ESUniversidad Publica de Navarra · ESNavarre Institute of Health Research · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundColon cancer (CC) is a heterogeneous disease that is categorized into four Consensus Molecular Subtypes (CMS) according to gene expression. Patients with loco-regional CC (stages II/III) lack prognostic factors, making it essential to analyze new molecular markers that can delineate more aggressive tumors. Aberrant methylation of genes that are essential in crucial mechanisms such as epithelial mesenchymal transition (EMT) contributes to tumor progression in CC. We evaluate the presence of hyper- and hypomethylation in subrogate IHC markers used for CMS classification (CDX2, FRMD6, HTR2B, ZEB1) of 144 stage II/III patients and CC cell lines by pyrosequencing. ZEB1 expression was also studied in control and shRNA-silenced CC cell lines and in paired normal tissue/tumors by quantitative PCR. The pattern of ZEB1 staining was also analyzed in methylated/unmethylated tumors by immunohistochemistry.

resultsWe describe for the first time the hypermethylation of ZEB1 gene and the hypomethylation of the FRMD6 gene in 32.6% and 50.9% of tumors, respectively. Additionally, we confirm the ZEB1 re-expression by epigenetic drugs in methylated cell lines. ZEB1 hypermethylation was more frequent in CMS1 patients and, more importantly, was a good prognostic factor related to disease-free survival (p = 0.015) and overall survival (p = 0.006) in our patient series, independently of other significant clinical parameters such as patient age, stage, lymph node involvement, and blood vessel and perineural invasion.

conclusionsAberrant methylation is present in the subrogate genes used for CMS classification. Our results are the first evidence that ZEB1 is hypermethylated in CC and that this alteration is an independent factor of good prognosis.

Indexed as

Colonic NeoplasmsZinc Finger E-box-Binding Homeobox 1Biomarkers, TumorDNA MethylationEpithelial-Mesenchymal TransitionHumansPrognosisRNA, Small InterferingBiomarkers, TumorRNA, Small InterferingZEB1 protein, humanZinc Finger E-box-Binding Homeobox 1CMSColon cancerDNA methylationPrognostic biomarker

Identifiers

PMID38093305
PMCPMC10720242
OpenAlexW4389670807

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.